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With the massive resources and strategies accessible to attackers, countering Denial of Service (DoS) attacks is getting increasingly difficult. One of these techniques is application-layer DoS. Due to these challenges, network security has become …

According to the connotation and structure of government service resources, data of government service resources in L city from 2019 to 2021 are used to calculate the efficiency of government service resource allocation in each county and region …

Emotion identification is the current research concept as it obtains a significant role in interpersonal relationships and health care services. The electroencephalogram (EEG) is currently utilized in emotion identification as it captures the …

Understanding different aspects of information spread have been a crucial direction of research in information and social sciences. Recent studies are found to be focused on accelerating and controlling the spread of information. One such study is …

There is an increase in cyberattacks directed at the network behind firewalls. An all-inclusive approach is proposed in this assessment to deal with the problem of identifying new, complicated threats and the appropriate countermeasures. In …

Much research has been done on the efficacy of vaccines against the COVID-19 pandemic, but the claims have not yet been realized in the real world. This paper proposes three COVID-19 policy outcome analysis tools such as jpscore for scoring and …

Network Intrusion Detection Systems (NIDS) and firewalls are the de facto solutions in the modern cloud to detect cyberattacks and minimize potential hazards for tenant networks. Most of the existing firewalls, perimeter security, and middlebox …

The main purpose of Sentiment Analysis (SA) is to derive useful insights from large amounts of unstructured data compiled from various sources. This analysis helps to interpret and classify textual data using different techniques applied in …

This work presents a framework for studying temporal networks using zigzag persistence, a tool from the field of Topological Data Analysis (TDA). The resulting approach is general and applicable to a wide variety of time-varying graphs. For …

In recent ages, the use of deep learning approaches to extract ground object information from remote sensing high-resolution images has attracted extensive attention in many fields. Nevertheless, due to the high similarity of features between …

The International Maritime Organisation (IMO) has adopted the Energy Efficiency Existing Ship Index (EEXI) and the Carbon Intensity Indicator (CII) as short term measures for decarbonisation of the shipping industry; the IMO also made the …

There is an exponential growth in textual content generation every day in today's world. In-app messaging such as Telegram and WhatsApp, social media websites such as Instagram and Facebook, e-commerce websites like Amazon, Google searches, news …

This study aims to improve our understanding of criminal accomplice selection by studying the evolution of co-offending networks—i.e., networks that connect those who commit crimes together. To this end, we tested four growth mechanisms …

Chemical-shift encoded MRI (CSE-MRI) is a widely used technique for the study of body composition and metabolic disorders, where derived fat and water signals enable the quantification of adipose tissue and muscle. The UK Biobank is acquiring …

Global climate change is affecting water resources and other aspects of life in many countries. Rainfall is the most significant climate element affecting the livelihood and well-being of the majority of Ethiopians. Rainfall variability has a …

The remarkable increase in the number of patients poses challenges to healthcare providers in telemedicine systems, and certain challenges are associated with the difficulties of identifying the most urgent emergencies to save lives. Remote …

Social media is an online platform with millions of users and is utilized to spread news, information, world events, discuss ideas, etc. During the COVID-19 pandemic, information and ideas are shared by users both officially and by citizens. Here …

Social media has provided a citizen voice, giving rise to grassroots collective action, where users deploy a concerted effort to disseminate online narratives and even carry out offline protests. Sometimes these collective action are aided by …

Community detection based on spectral clustering has been proved effective. However, spectral clustering is more challenging due to two significant issues: the construction of a good similarity matrix and the automatic detection of the number of …

Today, many users are actively using Twitter to express their opinions and to share information. Thanks to the availability of the data, researchers have studied behaviours and social networks of these users. International migration studies have …

The graph-theoretic based studies employing bipartite network approach mostly focus on surveying the statistical properties of the structure and behavior of the network systems under the domain of complex network analysis. They aim to provide the …

Wireless sensor networks (WSNs) are increasingly being used for data monitoring and collection purposes. Typically, they consist of a large number of sensor nodes that are used remotely to collect data about the activities and conditions of a …

Knowledge-sharing communities are fundamental elements of a knowledge-based society. Understanding how different factors influence their sustainability is of crucial importance. We explore the role of the social network structure and social trust …

Pinhole corrosion is difficult to discover through conventional ultrasonic guided waves inspection, particularly for micro-sized pinholes less than 1 mm in diameter. This study proposes a new micro-sized pinhole inspection method based on …

Cloud Computing, the efficiency of task scheduling is proportional to the effectiveness of users. The improved scheduling efficiency algorithm (also known as the improved Wild Horse Optimization, or IWHO) is proposed to address the problems of …

ICT tools have gained particular importance in the English as a foreign language classroom in order to promote students’ interaction, exchange of opinions, negotiation of meaning, or digital competence. Technological development and the impact of …

Due to the increasing growth of the Internet and its widespread application, the number of attacks on the network has also increased. Therefore, maintaining network security and using intrusion detection systems is of critical importance. The …

Digital economy is regarded countries as an inevitable choice to promote economic growth and provides new opportunities and new paths for the high-quality development of economy. For the Chinese market, the strong base behind cloud computing is …

Remote sensing is an important technical tool for rapid detection of illegal mining behavior. Due to the complex features of open-pit coal mines, there are few studies about automatic extraction of open-pit coal mines. Based on Convolutional …

Data are often correlated in real-world datasets. Existing data privacy algorithms did not consider data correlation an inherent property of datasets. This data correlation caused privacy leakages that most researchers left unnoticed. Such privacy …

With the awakening of health awareness, people are raising a series of health-related requirements for the buildings they live in, with a view to improving their living conditions. In this context, BIM (Building Information Modeling) makes full …

Laser powder bed fusion (LPBF) is an advanced manufacturing technology; however, inappropriate LPBF process parameters may cause printing defects in materials. In the present work, the LPBF process of Ti-6.5Al-3.5Mo-1.5Zr-0.3Si alloy was …

Service robot cloud platform is effective method to improve the intelligence of robots. An efficient cloud service scheduling algorithm is the basis of ensuring service quality and platform concurrency. In this paper, Hierarchy Genetic Algorithm …

The emerging topic of sequential recommender (SR) has attracted increasing attention in recent years, which focuses on understanding and learning the sequential dependencies of user behaviors hidden in the user-item interactions. Previous methods …

Compressive data gathering (CDG) is an adequate method to reduce the amount of data transmission, thereby decreasing energy expenditure for wireless sensor networks (WSNs). Sleep scheduling integrated with CDG can further promote energy …

Human communication, the essence of collective social phenomena ranging from small-scale organizations to worldwide online platforms, features intense reciprocal interactions between members in order to achieve stability, cohesion, and cooperation …

Cloud-edge data security is a key issue in the internet of vehicles (IoV), as the potential for data breaches increases as more vehicles are connected. As vehicles become smarter and more connected, the risk of unauthorized access to the data …

The worldwide usage of Internet of Things (IoT) applications enhanced the utilization of consumer devices, such as smartphones, computers, screening equipment used in hospitals that merely rely on imaging techniques. Numerous images got generated …

When a crowdsourcing approach is used to assist the classification of a set of items, the main objective is to classify this set of items by aggregating the worker-provided labels. A secondary objective is to assess the workers’ skill levels in …

Network coding can improve the information transmission efficiency and reduces the network resource consumption, so it is a very good platform for information transmission. Certificateless proxy signatures are widely applied in information …

When one enterprise acquires another, the electronic data of the acquired enterprise will be transferred to the acquiring enterprise. In particular, if the data system of acquired enterprise contains a searchable encryption mechanism, the …

Wavelet transform is being widely used in the field of information processing. One-dimension and two-dimension quantum wavelet transforms have been investigated as important tool algorithms. However, three-dimensional quantum wavelet transforms …

Since smartphones embedded with positioning systems and digital maps are widely used, location-based services (LBSs) are rapidly growing in popularity and providing unprecedented convenience in people’s daily lives; however, they also cause great …

Differential privacy has recently become a widely recognized strict privacy protection model of data release. Differential privacy histogram publishing can directly show the statistical data distribution under the premise of ensuring user privacy …

Innovations on the Internet of Everything (IoE) enabled systems are driving a change in the settings where we interact in smart units, recognized globally as smart city environments. However, intelligent video-surveillance systems are critical to …

We study a novel setting in Online Markov Decision Processes (OMDPs) where the loss function is chosen by a non-oblivious strategic adversary who follows a no-external regret algorithm. In this setting, we first demonstrate that MDP-Expert, an …

Vehicle Color Recognition (VCR) plays a vital role in intelligent traffic management and criminal investigation assistance. However, the existing vehicle color datasets only cover 13 classes, which can not meet the current actual demand. Besides …

A new meaningful image encryption algorithm based on compressive sensing (CS) and integer wavelet transformation (IWT) is proposed in this study. First of all, the initial values of chaotic system are encrypted by RSA algorithm, and then they are …

Most of the search-based software remodularization (SBSR) approaches designed to address the software remodularization problem (SRP) areutilizing only structural information-based coupling and cohesion quality criteria. However, in practice apart …

Technical debt is considered detrimental to the long-term success of software development, but despite the numerous studies in the literature, there are still many aspects that need to be investigated for a better understanding of it. In …

Large-scale software-intensive systems often generate logs for troubleshooting purpose. The system logs are semi-structured text messages that record the internal status of a system at runtime. In this paper, we propose ADR (Anomaly Detection by …

Traditionally, a contingent plan, branching on the observations an agent obtains throughout plan execution, must reach a goal state from every possible initial state. However, in many real world problems, no such plan exists. Yet, there are plans …

Human activity recognition is a theme commonly explored in computer vision. Its applications in various domains include monitoring systems, video processing, robotics, and healthcare sector, etc. Activity recognition is a difficult task since …

In this paper I argue that some examples of what we label ‘algorithmic bias’ would be better understood as cases of institutional bias. Even when individual algorithms appear unobjectionable, they may produce biased outcomes given the way that …

Mobile applications have grown rapidly in size. This dramatic increases in size and complexity make mobile applications less accessible to a broader scope of users. The prevailing approach for better accessibility of mobile applications is to …

The Internet of Things (IoT) devices have become part of today’s human life and the amplified use of smart phones as well as number of IoT devices in everyday life has made network security more important. These IoT devices are less secure and …

A terahertz plasmonic sensor based on parallel bulk Dirac semimetals (BDSs) is proposed and numerically investigated in this paper. The physical origin of the sensor is induced by the electromagnetically induced reflectance (EIR)-like effect …

Extreme learning machine (ELM) is a type of randomized neural networks originally developed for linear classification and regression problems in the mid-2000s, and has recently been extended to computational partial differential equations (PDE).

In this paper, we consider the composite optimization problems over the Stiefel manifold. A successful method to solve this class of problems is the proximal gradient method proposed by Chen et al. (SIAM J Optim 30:210–239, 2020.

To address the non-negativity dropout problem of quaternion models, a novel quasi non-negative quaternion matrix factorization (QNQMF) model is presented for color image processing. To implement QNQMF, the quaternion projected gradient algorithm …

A successful DDoS attack disables systems and causes huge economic losses, which is every company’s worst fear. The goal of IT security is to avoid this worst-case situation. Anomaly detection is one of the most imperative currently. However …

In this paper, we present a new corrector-predictor interior-point method for solving semidefinite optimization. We use an algebraic equivalent transformation of the centering equation of the system which defines the central path. The algebraic …

Efficient mid-infrared (MIR) optical modulator is reported and numerically analyzed for both the transverse electric (TE) and transverse magnetic (TM) polarized modes. The proposed design is based on the silicon-on-calcium-fluoride platform with …

We propose a novel all-optical technique for the transmission of multiple channels over a single optical carrier by employing pulse position modulation (PPM). The proposed technique partly solves the issue of low spectral efficiency associated …

Hydrogen will play an essential role for the sustainable mobility of the future. Fuel cells complement pure battery-electric mobility in cases where heavy vehicles need to travel long distances. The attractiveness of this sustainable form of …

In today’s cloud environments, diverse and massive data is growing exponentially. This requires efficient prediction mechanisms to support automatic resource allocation and management. These mechanisms enable anticipating resource consumption …

Higher-order Markov chain plays an important role in analyzing a variety of stochastic processes over time in multi-dimensional spaces. One of the important applications is the study of higher-order PageRank problem. The truncated power method …

The present study explored the occupational aspirations of school-age children (N = 394) comparing differences by gender, level of intelligence and grade level. Results indicated that girls’ aspirations were more realistic, intrinsically …

This paper employed finite-element simulation together with a human body model (HBM) — THUMS to study the head injury risk of a pedestrian involved in a frontal impact with a sedan car. While previous studies have gained an intensive understanding …

Schools are complex physical and social institutions within national education systems. They account for significant energy consumption and like other buildings can demonstrate inefficient patterns of energy use. Poor energy performance of …

In the field practice, industrial wastes are recommended for use in construction to achieve both environmental and economic benefits. A novel technique of supplementing lime to the black cotton soil stabilized with bagasse ash is adopted to …

Setup-related aspects of background-oriented schlieren (BOS) experiments are discussed focusing on a sensitivity parameter S, which represents the relation between light deflection and resulting BOS signal, and the geometric blur. An analytic …

Shrouded rotors have been extensively used in the rotorcraft industry, for example, in compound helicopters for auxiliary propulsion, hovercraft, helicopter tail rotors (Mouille 1970 ; Vuillet and Morelli 1986 ), fan in wing aircraft and vertical …

The combustor and turbine inlet pressures of modern aviation and power-generation gas turbine engines can vary between 30 and 50 bar. Innovative diagnostic methods are needed to understand the complex thermo-physical processes taking place under …

Rock landslide failure boundaries contain large amounts of rock mass structure information, providing many details that help researchers understand the causes of landslide failure. Taking the Zhaobiyan (ZBY) landslide triggered by the 2008 MS 8.0 …

European Union (EU) legislation is increasingly embracing the energy efficiency first (EE1st) principle. This principle seeks to prioritise energy efficiency measures whenever these involve lower costs to society than generators, networks and …

The damage and rupture behavior of water-bearing coal induced by coal mining disturbance can lead to large-scale rock engineering instability and engineering geological disasters. In order to study the influence of water on the pressure stimulated …

Field Programmable Gate Arrays (FPGAs) have become a widely available computational resource for real-time image processing and can be used in time-critical optical process measurements. In this study, we investigate the applicability of the …

Safety-critical systems such as avionics need to be engineered to be cyber resilient meaning that systems are able to detect and recover from attacks or safely shutdown. As there are few development tools for cyber resiliency, designers rely on …

The design and potential application analysis of the novel solar-absorbing integrated facade module and its corresponding building-integrated solar facade water heating system are presented in this study. Compared with the conventional building …

Micropiles can be a suitable option for tilted foundations of inclined buildings standing on soft clay, where other options, such as soil injection, are either unavailable or considered to be inappropriate. In the past, the design parameters of …

In wireless sensor networks (WSNs), the virtual backbone (VB) consists of a subset of nodes, which are responsible for routing tasks. Fault-tolerant VBs are desirable for overcoming the effects of node or link failure in WSNs. Usually, a …

The problem of insufficient accuracy, informativeness and efficiency of recognition of the structure and composition of inhomogeneous surface layers of thin metal-oxide heterostructures during nondestructive testing by spectral optical methods is …

Data points situated near a cluster boundary are called boundary points and they can represent useful information about the process generating this data. The existing methods of boundary points detection cannot differentiate boundary points from …

Nowadays, the need for electrical energy became crucial in the world. The co-generation plants, which simultaneously produce electrical and heat energies, are one of the alternative solutions to supply people and industry with both energies. The …

The maximal covering location problem refers to the problem of finding an optimal placement of given number of facilities to a network. The objective is to maximize the total demands of the covered population within some constraints. Several …

Data from multisite magnetic resonance imaging (MRI) studies contain variance attributable to the scanner that can reduce statistical power and potentially bias results if not appropriately managed. The Adolescent Cognitive Brain Development …

In this paper, the load effect of torque ripple reduction of a wind turbine generator is analyzed on the high-speed shaft gear stage and high-speed shaft bearings, which are the nearest components to the generator. Two generator designs with …

Drivetrain failures result in the largest downtime per failure among the different turbine components. To minimize O&M costs, it is therefore essential to be able to anticipate failure events sufficiently in advance such that scheduled maintenance …

Ship detection plays a pivotal role in efficient marine monitoring, port management, and safe navigation. However, the development of ship detection techniques is vastly behind other detection techniques, such as face detection, pedestrian …

Understanding the business logic of the application helps to detect the race conditions in web applications. There is no logic-aware approach for detecting race conditions. Current solutions can detect only a few race conditions or they have false …

Between 2007 and 2013, the Federal Deposit Insurance Corporation (FDIC) used purchase and assumption (P&A) as a resolution method to auction 492 failed institutions to healthy banks. While existing studies reveal positive value effects on winning …

The rapid development of wireless sensors has accelerated the popularity of wireless body area network (WBAN). WBAN use multiple sensors to collect the patient’s body data, and the data is transferred to the medical cloud for processing and …

Heretofore schemes highly rely on complex feature characterization modules assisting the detection and classification of Diabetic Macular Edema (DME). DME encompasses intrinsic local variations that need to be analyzed for treatment. Accordingly …

Developing a management process suitable for medical industry apps may facilitate a rapid response to internal maintenance demand changes and make the operational model run smoother and more conveniently for the management of small organizations …

The Internet of Things (IoT) is an emerging technology that provides services to any smart device at any place. Due to the large volume of data and dynamicity, the IoT environment faces challenges in terms of overloading and energy consumption. To …

In this study, we propose a new form of score function for both intuitionistic and picture fuzzy sets, which we term the weighted average membership function. By inserting both refusal and neutrality degrees for picture fuzzy sets, we extend the …

When solving practical optimization problems by metaheuristic algorithms (MAs), an important issue is how to balance exploration and exploitation. This article develops a novel hybrid grasshopper optimization algorithm (HGOA) to solve the above …

An efficient transportation system is conducive to maintaining traffic flow and safety. Passenger flow forecasting (PFF), an area of traffic forecasting, is a key part of the efficient transportation system. In recent years, deep-learning-based …

In the last decade, the need for a non-contact biometric model for recognizing candidates has increased, especially after the pandemic of COVID-19 appeared and spread worldwide. This paper presents a novel deep convolutional neural network (CNN) …

Many studies have shown that economic and political freedom better predict overall satisfaction than income or material consumption. However, in the context of post-disaster reconstruction, whether freedom of choice in reconstruction is a better …

Nowadays, supermarkets and retail stores all use software systems with databases to store customer transactions. Over time, the volume of data is also increasing and it contributes a lot of hidden value in this data warehouse, mining data from …

Most of today’s inland freight transport in Switzerland is operated on the road system. In this study, an innovative agent-based simulation approach is developed to investigate the potential shift from road to rail. In a first step, future freight …

This article examines the potential contribution of the diaspora to development in Cameroon. It illuminates the role of institutional dynamics within the Multiple Streams Approach (MSA). Drawing on the concept of problem compatibility, this …

Due to easy access, faster production, and on-demand printing, the applications of 3D printing are proliferating and reaching the mass customization level where individuals can print their self-design products. Many service providers emerge and …

Solid polymer electrolyte based on poly (ethyl methacrylate) (PEMA) and lithium bis(trifluoromethanesulfonyl) imide (LiTFSI) was prepared for electrochemical double-layer capacitor (EDLC) application. Incorporation of 50 wt% LiTFSI elevated the …

This paper studies the tracking of wooden veneer sheets by matching their respective wet and dry colour images. The tracking of veneer sheets has proved to be a challenging task due to random mutations during processing in terms of color changes …

In this study, we propose two hybrid algorithms for link prediction problem in static networks that combine the benefits of both local and global scoring methods, with the objective of compensating the weaknesses of each approach using two …

The purpose of this study was to develop an invention instruction program based on the Theory of Inventive Problem Solving (TRIZ) for preservice invention teachers and test the effects of the program on teachers’ creativity beliefs, creativity …

The need for effective training of cyber security personnel working in critical infrastructures and in the corporate has brought attention to the evolution of Cyber Ranges (CRs) as learning and training tools. Although CRs have been organized for …

In this study, for the first time, an off-grid zero-energy building with hydrogen energy storage integrated with two hydrogen cars is simulated and analyzed transiently. Regarding the novelties, for the first time, two types of wind turbines are …

This paper proposed a dynamic control of gas metal arc welding GMAW process to operate in a short-circuiting mode and free-flight modes (mixed, globular, and spray); the GMAW modeling was based on a nonlinear state-space model of five variables.

Habitat loss and natural vegetation fragmentation are significant causes of global biodiversity decline, impacting plant and animal species negatively. This issue is worrisome in the private areas of Cerrado in Brazil, which is the second-largest …

Commons enjoy recognition as an alternative to the dichotomy of state and market. In contrast to liberal market theorists who frame the commons as resource-based, we build on alternative and critical conceptions that describe the commons as …

Water saturation of rock plays an important role in chipping efficiency and productivity of mechanical excavators. In this study, small-scale linear rock-cutting experiments were performed with a chisel pick on five sandstones, four gypsums, and …

Deep neural network (DNN) models are widely renowned for their resistance to random perturbations. However, researchers have found out that these models are indeed extremely vulnerable to deliberately crafted and seemingly imperceptible …

This research presents a practical study of active disturbance rejection control law (ADRC) for the control of robotic manipulators in the presence of uncertainties. The control objective of the proposed control law is to track the trajectory …

A good stacking method can increase the packaging utility rate and reduce production costs. Much research has focused on 2D arrangements for rectangular, circular, or irregular shapes and regularly shaped 3D objects such as rectangular boxes.

Controlled fire experiments using a gas burner were previously conducted in a purpose-built, two-story, moderately air-tight residential structure to understand the effect of a heating, ventilating, and air conditioning (HVAC) system and door …

Inspired by Freire’s principle of dialogue, in this article we present a series of dialogues and critical syntheses between a science teacher-researcher with 35 years of experience and an early-career science teacher-researcher. We explore being …

Hexagonal molybdenum oxide (h-MoO3) micro-rods were synthesized through a facile hydrothermal method. Thermogravimetric and differential thermal analysis (TGA-DTA) of the sample, over temperatures ranging from 30°C to 700°C, was carried out to …

The use of readily available natural resources and wastes has become critical for achieving industrial sustainability. The current study focuses on the extraction and characterization of cellulosic Areca catechu fruit peduncle fibers (ACFPFs) from …

Cyber-attacks on Internet of Things (IoT) devices are becoming increasingly common due to the rapidly growing number of connected devices and the lack of security measures in many of these devices. Attackers can exploit these flaws using the …

The chicken swarm optimization (CSO) is a novel swarm intelligence algorithm, which mimics the hierarchal order and foraging behavior in the chicken swarm. However, like other population-based algorithms, CSO also suffers from slow convergence and …

The Internet of Things is ushering in the era of connected environments where the number and diversity of data sources (devices and sensors) are inevitably increasing the size of the data that need to be stored locally (at the edge device level) …

The issue of weed classification in paddy fields has received extensive research. There are various methods for resolving the weed classification issue. These methods use color, texture and binary features in classifying the weed image in the …

The knapsack problem is an NP-hard combinatorial optimization problem for which it is difficult to find a polynomial-time solution. Many researchers have used metaheuristic algorithms that find a near-optimal solution in a reasonable amount of …

Microarray data have a crucial role in identifying and classifying different types of cancer tissues. In cancer research, high dimensional of microarray datasets has always caused problems in the design of classifiers. Thus, microarray data before …

The objective of this study was to examine the roles that organizational security climate and perceived costs and rewards of compliance play in predicting the extent to which people endorse compliance or violation of specific information security …

Distributed computing workflow is an effective paradigm to express a range of applications with cloud computing platforms for scientific research explorations. One of the most difficult application areas of cloud computing technology is task …

Optic disc (OD), fovea, and blood vessels are major anatomical structures in a fundus image. In retinal image processing, automated detection of structural parts is crucial in analyzing image patterns and abnormalities caused by eye diseases such …

The present work demonstrates a direct sputtering synthesis approach for a nano-porous ZnO electrode on indium tin oxide (ITO) substrate. Various sophisticated material characterization analytical tools confirmed successful growth of the …

Power saving is the fundamental concern in designing of the routing algorithms for wireless sensor networks (WSNs). In the present optimized energy-efficient routing protocol (OEERP), some sensor nodes (residual nodes) are discarded without being …

Transactions are the bread-and-butter of database management system (DBMS) industry. When you check your bank balance, pay bill, or move money from saving to chequing account, transactions are involved. That transactions are self-similar—whether …

The removal of fog or haze from video frames and images has been a major focus in the area of computer vision since fog has a detrimental effect on monitoring and surveillance systems, as well as on the recognition of scene objects and other …

The study presents the crack mouth opening and propagation of cracks in a composite material printed by material extrusion subjected to monotonic loading. The composite material is made out of a nylon matrix (with embedded short carbon …

Globally the improvement and evaluation of the academic performance of students has been a priority, however the way in which the quality of learning process is evaluated within the classroom is based on traditional methods such as grades or …

Negotiations between manufacturers and retailers often go sour. In an attempt to stand their ground, firms increasingly exercise coercive power and decide to delist products until the conflict is resolved. Using an event study, this paper provides …

The hot compression test, with a true strain of 0.9, was carried out at a temperature of 1100–1250 °C and a strain rate of 0.001–1 s−1 by a Gleeble3800 thermal simulation testing machine for the as-cast TNM alloy. The stress–strain curves were …

Tempered glass is a building material often used in curtain walls and windows of high-rise buildings. Tempered glass is easily damaged by high temperature and thermal radiation in a fire, creating a channel for flame spread. The breakage mechanism …

Health monitoring, rehabilitation, and fitness are just a few domains where human activity recognition can be applied. In this study, a deep learning approach has been proposed to recognise ambulation and fitness activities from data collected by …

Emergency medicine (EM) is one of the attractive research fields in which researchers investigate their efforts to diagnose and treat unforeseen illnesses or injuries. There are many tests and observations are involved in EM. Detection of the …

Data science deals with the discovery of information from large volumes of data. The data studied by scientists in the humanities include large textual corpora. An important objective is to study the ideas and expectations of a society regarding …

Machine learning (ML) models have proved efficient in classifying data samples into their respective categories. The standard ML evaluation methodology assumes that test data samples are derived from pre-observed classes used in the training …

Adult learners are a significant proportion of distance learners and many of these students are working mothers. Several instructional design models center the learner, and this requires understanding the learner needs, strengths, and context.

In this introductory manuscript, we present our vision for this special issue as a space for cultivating collective becomings in/with love, critical hope, and solidarity. We also contemplate our intentions and goals for putting together a special …

Covid text identification (CTI) is a crucial research concern in natural language processing (NLP). Social and electronic media are simultaneously adding a large volume of Covid-affiliated text on the World Wide Web due to the effortless access to …

Students’ misconceptions of various topics in physics have been investigated by many researchers. The detection of misconceptions is very difficult and takes a long time as a human being. Our aim in the study carried out is to determine the …

This paper investigates the effects of pre- and post-global financial crisis shocks on the dependence structure and systemic risk between the return series of the Organization of the Petroleum Exporting Countries (OPEC) oil price and the Gulf …

New technologies have led to digital educational tools to improve learning. Game-Based Learning makes it possible to test whether there is a positive impact on official grades. We have collected the scores of the Kahoot! games, the marks of the …

Much research has been done on the benefits of video games in a physical education context (Camunas-Vega & Alcaide-Risoto, 2020; Fang et al., 2020). However, little attention has so far been paid to the effectiveness of commercial video games …

Modern computational science and engineering applications are being improved by advances in scientific machine learning. Data-driven methods such as dynamic mode decomposition (DMD) can extract coherent structures from spatio-temporal data …

In this paper, we consider the power allocation problem for 5 G wireless networks using massive multiple input multiple output technologies. Two non-linear optimization models are considered to maximize the worst user signal-to-interference noise …

We explore the determinants and value implications of publicly traded real estate companies converting to real estate investment trusts (REITs), which we term REITing, and publicly-traded REITs giving up their REIT status, termed de-REITing.

The use of cell phones has dramatically expanded and developed into a daily habit in the current day. Additionally, consumers have started using a variety of smartphone applications, including social media apps, invoicing apps, and sensitive apps …

Weather prediction is the hottest topic in remote sensing to understand natural disasters and their intensity in an early stage. But in many cases, the typical imaging models have resulted in less forecasting rate. Hence, to overcome this problem …

Laser-induced graphene (LIG) is a highly promising preparation material for electrochemical sensors; however, its preparation speed and nanomaterial modification steps significantly limit its mass production. Herein, this study proposed a new …

This work presents a new nature-inspired meta-heuristic algorithm named spider wasp optimization (SWO) algorithm, which is based on replicating the hunting, nesting, and mating behaviors of the female spider wasps in nature. This proposed …

Effective vector management avoiding exposing the population of beneficial insects that are not the goal at risk is needed to combat the rising worldwide burden of mosquito-borne diseases. Insect sterility techniques, seaweed-mediated bio nano …

In this paper, a novel cryptosystem with just a multi-shuffling process which is highly interactive to differentiate initial conditions is developed. The proposed system replaces the fundamental and well known in cryptography, confusion–diffusion …

Iron is one of the trace elements that plays a vital role in the human immune system, especially against variants of SARS-CoV-2 virus. Electrochemical methods are convenient for the detection due to the simplicity of instrumentation available for …

This paper studies the problem of finite-time robust stabilization of inertial delayed neural networks with external disturbances. The finite-time stability research of inertial neural networks can be applied to important fields such as secure …

This paper introduces and evaluates a general construct for trading off accuracy and overall execution duration in classification-based machine perception problems—namely, the generalized IDK classifier cascade. The aim is to select the optimal …

Electroencephalogram (EEG) signal analysis has become an interesting and required area in the medical industry to analyze brain function for different diseases. But, the EEG signal’s noise features might degrade the signal prediction's exactness …

We report the fabrication of a semiconductor thin layer of ternary chalcogenide, Ge33Se47Sn20, utilizing a thermal evaporation technique for optical applications. The chemical composition and crystal structure studies on Ge33Se47Sn20 thin films …

Detecting changes in data streams, with the data flowing continuously, is an important problem which Industry 4.0 has to deal with. In industrial monitoring, the data distribution may vary after a change in the machine’s operating point; this …

The colony Predation Algorithm (CPA) has been proven to be one of the heuristic algorithms that can efficiently solve global optimization problems. Balancing the paradox between exploration and exploitation capabilities while mitigating premature …

Due to the functionality for mapping domain names to IP addresses, the Domain Name System (DNS) is a critical component of the running of the Internet. However, the current DNS receives many criticisms. For instance, its centralized architecture …

Clustering is a technique for statistical data analysis and is widely used in many areas where class labels are not available. Major problems related to clustering algorithms are handling high-dimensional, imbalanced, and/or varying-density …

Recognition of human activity is a challenging issue, especially in the presence of multiple actions and multiple scenarios. Therefore, in this paper, multi-view multi-modal based human action recognition (HAR) is proposed. Here, initially, motion …

Since wireless sensor network have a finite amount of energy, lowering network energy consumption and prolonging the life of the network are essential considerations for WSN applications. A novel multi-hop clustering routing algorithm based on …

In many developing countries in the tropical region, 3-wheeler vehicles are one of the most common means of transportation for low- and middle-income people. As the 3-wheeler vehicle is small in size, open on both sides, and the engine is placed …

In this work, we intend to propose multiple hybrid algorithms with the idea of giving a choice to the particles of a swarm to update their position for the next generation. To implement this concept, Cuckoo Search Algorithm (CSA), Grey Wolf …

Medical applications of Artificial Intelligence (AI) have consistently shown remarkable performance in providing medical professionals and patients with support for complex tasks. Nevertheless, the use of these applications in sensitive clinical …

In recent times, providing privacy to the medical dataset has been the biggest issue in medical applications. Since, in hospitals, the patient's data are stored in files, the files must be secured properly. Thus, different machine learning models …

We examine firm value and performance implications of the growing trend of nontechnology companies engaging in activities relating to digital technologies. We measure digital activities in firms based on the disclosure of digital words in the …

We analyzed the enormous scale of global human needs, their carbon footprint, and how they are connected to energy availability. We established that most challenges related to resource security and sustainability can be solved by providing …

Deep learning in computer vision is becoming increasingly popular and useful for tracking object movement in many application areas, due to data collection burgeoning from the rise of the Internet of Things (IoT) and Big Data. So far, computer …

Electromyography (EMG) is a form of biological information, which is used in many fields to help people study human muscle movement, especially in the study of bionic hands. EMG signals can be used to explain the activity at a certain moment …

In this article, we address the m-machine no-wait flow shop scheduling problem with sequence dependent setup times. The objective is to minimize total tardiness subject to an upper bound on makespan. Although these constraints and performance …

In 2019, ANSSI released a protected software implementation of AES running on an STM32 platform with ARM Cortex-M architecture, publicly available on Github. The release of the code was shortly followed by a first paper written by Bronchain and …

A novel γ–γ′–γ″ dual-superlattice superalloy, with promising mechanical properties up to elevated temperatures was recently reported by Mignanelli et al. (in: Proceedings of the 9th International Symposium on Superalloy 718 & Derivatives: Energy …

The variety of diseases is increasing day by day, and the demand for hospitals, especially for emergency and radiology units, is also increasing. As in other units, it is necessary to prepare the radiology unit for the future, to take into account …

Calibrating Human Activity Recognition (HAR) models to end-users with Transfer Learning (TL) often yields significant accuracy improvements. Such TL is by design done based on very personal data collected by sensors worn close to the human body.

Satellite range scheduling, a multi-constrained combinatorial optimization problem, is crucial to guaranteeing the normal operation and application of onboard satellites. Traditional methods are dedicated to finding one optimal schedule, having …

Substantial natural environmental damage and economic losses are caused by fire. For this problem, automatic fire-smoke detection and identification are needed. Fire-smoke detection methods based on vision still suffer from significant challenges …

This study aims to employ the supervised machine learning algorithms to examine factors that negatively impacted academic performance among college students on probation (underperforming students). We used the Knowledge Discovery in Databases …

Palmprint shows great potential in biometric-based security due to its advantages of great stability, easy collection, and high accuracy. However, with insufficient training samples, how to extract discriminative features applicable in various …

Chaotic map is a kind of discrete chaotic system. The existing chaotic maps suffer from optimal parameters in terms of chaos measurements. In this study, a novel approach of optimization of parametric chaotic map (PCM) using triple objective …

During the last two decades, due to environmental laws and the competitive environment, the formulation of effective closed-loop supply chain networks has attracted researchers’ attention. On the other hand, although there are many metaheuristics …

Despite it being legal in South Africa to acquire a title deed to a government-issued home, roughly 20 million South Africans do not hold title to their property. Millions of homes are eligible to have ownership transferred from the government to …

The benefits and drawbacks of the SVD-based multimedia image watermarking system are discussed in this paper. To get a suitable video frame for embedding a watermark in this study, key frame selection is initially affected to the video sequence.

Artificial Intelligence (AI) based on knowledge graphs has been invested in realizing human intelligence like thinking, learning, and logical reasoning. It is a great promise to make AI-based systems not only intelligent but also knowledgeable. In …

Guided text generation is one of the key issues when it comes to creating human-like artificial intelligence writing machines. Humans can use their writing skills depending on the topic of the text and the pieces of information they want to …

This study is to determine how a lightweight active soft waist exoskeleton (ASWE) reduces the oxygen consumption and activity of lower back muscles of the wearer performing the repetitive lifting tasks. The heavy and frequent manual lifting …

Streaming graph analysis is gaining importance in various fields due to the natural dynamicity in many real graph applications. However, approximately counting triangles in real-world streaming graphs with duplicate edges and sliding window model …

Recent research works have established the importance of sarcasm detection in the domain of sentiment analysis. Automatic sarcasm detection using social media data is a challenging task in the presence of imbalanced classes. Real-life social media …

This paper reports trench-filling epitaxy of Ge on (001) Si using [100]-oriented patterns, which is effective to fill the micron-deep trench in a short growth time. As a starting substrate, a trench with a width of about 0.6 µm and a depth of …

There is a consistent rise in the usage of sensory devices while framing up the Internet-of-Things (IoT), which generates a large portion of data and increases exponential security concerns. IoT vision aims to provide maximum coverage among the …