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Neural Computing and Applications OnlineFirst articles

22-07-2021 | S.I.: AI-based Web Information Processing

Spatial–temporal grid clustering method based on frequent stay point recognition

In order to identify geolocation of defaulter and extract travel information from trajectory data, spatial–temporal grid clustering method are adopted to analysis massive trajectory data. Firstly, the trajectory data are preprocessed, and the …

Authors:
Bin Zhang, Qiuxia Wang, Jing Li, Zhou Ye

22-07-2021 | S.I. : Cybersecurity Applications of Computational Intelligence Open Access

Implementation of the BERT-derived architectures to tackle disinformation challenges

Recent progress in the area of modern technologies confirms that information is not only a commodity but can also become a tool for competition and rivalry among governments and corporations, or can be applied by ill-willed people to use it in …

Authors:
Sebastian Kula, Rafał Kozik, Michał Choraś

22-07-2021 | Original Article

Experimental evaluation of a hybrid global maximum power tracking algorithm based on modified firefly and perturbation and observation algorithms

The classical maximum power point tracking (MPPT) approaches are powerful under uniform irradiance conditions. However, under partial shading conditions, they fail to find the global maximum power point (GMPP) and are trapped in one of the local …

Authors:
Fuad Alhaj Omar, Ahmet Afsin Kulaksiz

22-07-2021 | S.I.: AI-based Web Information Processing

Evaluation of rural financial ecological environment based on machine learning and improved neural network

In order to improve the effect of rural financial ecological environment evaluation, this paper combines machine learning and improved neural network algorithms to construct a rural financial ecological environment evaluation system. First, this …

Authors:
Wen Wei, Qiwen Zhang

22-07-2021 | Original Article

Design of a Stephenson III six-bar path generating mechanism for index finger rehabilitation device using nature-inspired algorithms

The paper presents a new mechanism for an index finger rehabilitation device. The mechanism was designed based on a pre-specified trajectory obtained by performing flexion/extension experimental trials with index finger. These experiments were …

Authors:
Debaditya Chakraborty, Ayush Rathi, Ramanpreet Singh, Vimal Kumar Pathak, Kailash Chaudhary, Himanshu Chaudhary

22-07-2021 | Original Article

An attention-based CNN-LSTM model for subjectivity detection in opinion-mining

Opinion-mining generally refers to analyzing opinions on various topics available in the form of text. It is an essential operation of natural language processing since it enables efficient decision-making and planning for users and businesses.

Authors:
Santwana Sagnika, Bhabani Shankar Prasad Mishra, Saroj K. Meher

22-07-2021 | S.I.: AI-based Web Information Processing

Research on the improvement effect of machine learning and neural network algorithms on the prediction of learning achievement

In order to improve the effect of college student performance prediction, based on machine learning and neural network algorithms, this paper improves the traditional data processing algorithms and proposes a similarity calculation method for …

Authors:
Yingying Su, Shengxu Wang, Yi Li

21-07-2021 | Special issue on Advances of Neural Computing phasing challenges in the era of 4th industrial revolution

On unifying deep learning and edge computing for human motion analysis in exergames development

This work describes a novel methodology for creating exergames on an edge-native platform with the integration of multiple deep neural networks. A prototype of the platform, which includes capabilities for innovative gameplay and advanced user …

Authors:
Antonis Pardos, Andreas Menychtas, Ilias Maglogiannis

21-07-2021 | Original Article

Event-triggered network congestion control of TCP/AWM systems

For the nonlinear TCP/AWM network congestion control system with external disturbances, under the framework of backstepping control method, an adaptive network congestion control strategy based on event-triggered mechanism is proposed. This …

Authors:
Yun Bai, Yuanwei Jing

21-07-2021 | Original Article

Testing for normality with neural networks

In this paper, we treat the problem of testing for normality as a binary classification problem and construct a feedforward neural network that can act as a powerful normality test. We show that by changing its decision threshold, we can control …

Author:
Miloš Simić

21-07-2021 | Original Article Open Access

Data-driven deep density estimation

Density estimation plays a crucial role in many data analysis tasks, as it infers a continuous probability density function (PDF) from discrete samples. Thus, it is used in tasks as diverse as analyzing population data, spatial locations in 2D …

Authors:
Patrik Puchert, Pedro Hermosilla, Tobias Ritschel, Timo Ropinski

21-07-2021 | Original Article Open Access

Using human pose information for handgun detection

Fast automatic handgun detection can be very useful to avoid or mitigate risks in public spaces. Detectors based on deep learning methods have been proposed in the literature to trigger an alarm if a handgun is detected in the image. However …

Authors:
Alberto Velasco-Mata, Jesus Ruiz-Santaquiteria, Noelia Vallez, Oscar Deniz

21-07-2021 | Original Article

Evaluating Parshall flume aeration with experimental observations and advance soft computing techniques

A Parshall flume is a versatile device due to its diverse applications in irrigation canals, mine discharge, dam seepage, sewage treatment plants and many more. It is an economical due to its construction and installation and an accurate in …

Authors:
Sangeeta Bhoria, Parveen Sihag, Balraj Singh, Isa Ebtehaj, Hossein Bonakdari

21-07-2021 | Original Article

Privacy protected user identification using deep learning for smartphone-based participatory sensing applications

In smartphone-based crowd/participatory sensing systems, it is necessary to identify the actual sensor data provider. In this context, this paper attempts to recognize the users’ identity based on their gait patterns (i.e. unique walking …

Authors:
Asif Iqbal Middya, Sarbani Roy, Saptarshi Mandal, Rahul Talukdar

21-07-2021 | S.I. : NCACVIP

Detect and defense against adversarial examples in deep learning using natural scene statistics and adaptive denoising

Despite the enormous performance of deep neural networks (DNNs), recent studies have shown their vulnerability to adversarial examples (AEs), i.e., carefully perturbed inputs designed to fool the targeted DNN. Currently, the literature is rich …

Authors:
Anouar Kherchouche, Sid Ahmed Fezza, Wassim Hamidouche

20-07-2021 | S.I.: AI-based Web Information Processing

Optimization of physical education and training system based on machine learning and Internet of Things

In order to improve the effect of physical education and training, this paper combines machine learning technology to identify sports training features and action prediction, and combines Internet of Things technology to process physical education …

Authors:
Chenhang Wang, Cong Du

20-07-2021 | Original Article

Orthogonal Latin squares-based firefly optimization algorithm for industrial quadratic assignment tasks

The quadratic assignment problem (QAP) is one of the hardest combinatorial optimization tasks. It has many real-world applications such as airport gate assignment, and hospital layout problem. Designing enhanced optimization methodologies for the …

Authors:
Rizk Masoud Rizk-Allah, Adam Slowik, Ashraf Darwish, Aboul Ella Hassanien

20-07-2021 | S.I.: AI-based Web Information Processing

Diagnosis and classification prediction model of pituitary tumor based on machine learning

In order to improve the diagnosis and classification effect of pituitary tumors, this paper combines the current common machine learning methods and classification prediction methods to improve the traditional machine learning algorithms.

Authors:
Anmin Liu, Yan Xiao, Min Wu, Yuzhen Tan, Yujie He, Yang Deng, Liang Tang

20-07-2021 | S.I.: AI-based Web Information Processing

Interactive visual computer vision analysis based on artificial intelligence technology in intelligent education

In order to improve the effect of intelligent education and teaching, under the guidance of artificial intelligence technology, this article combines interactive visual computer vision analysis algorithms to construct an intelligent education …

Authors:
Yan Hu, QiangQiang Li, Shih-wei Hsu

20-07-2021 | Original Article

A novel result on H performance state estimation for Markovian neural networks with time-varying transition rates

This paper is concerned with the $$H_{\infty }$$ H ∞ performance state estimation for Markovian neural networks (MNNs) with time-varying transition rates. The time-varying TRs are considered to be in a polytopic sense. To fully consider the …

Authors:
Yufeng Tian, Zhanshan Wang