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Cognitive Computation OnlineFirst articles

18.04.2024

A Novel Method for Human-Vehicle Recognition Based on Wireless Sensing and Deep Learning Technologies

Currently, human-vehicle recognition (HVR) method has been applied in road monitoring, congestion control, and safety protection situations. However, traditional vision-based HVR methods suffer from problems such as high construction cost and low …

verfasst von:
Liangliang Lou, Ruyin Cai, Mingan Lu, Mingmin Wang, Guang Chen

11.04.2024

Synergy of Human-Centered AI and Cyber-Physical-Social Systems for Enhanced Cognitive Situation Awareness: Applications, Challenges and Opportunities

This paper explores the convergence of Human-Centered AI (HCAI) and Cyber-Physical Social Systems (CPSS) in pursuing advanced Cognitive Situation Awareness (CSA). Integrating HCAI principles within CPSS fosters systems prioritizing human needs …

verfasst von:
Saeed Hamood Alsamhi, Santosh Kumar, Ammar Hawbani, Alexey V. Shvetsov, Liang Zhao, Mohsen Guizani

Open Access 11.04.2024

An eXplainable Artificial Intelligence Methodology on Big Data Architecture

Although artificial intelligence has become part of everyone’s real life, a trust crisis against such systems is occurring, thus increasing the need to explain black-box predictions, especially in the military, medical, and financial domains.

verfasst von:
Valerio La Gatta, Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlì

Open Access 10.04.2024

A Perceived Risk Index Leveraging Social Media Data: Assessing Severity of Fire on Microblogging

Fires represent a significant threat to the environment, infrastructure, and human safety, often spreading rapidly with wide-ranging consequences such as economic losses and life risks. Early detection and swift response to fire outbreaks are …

verfasst von:
Carmen De Maio, Giuseppe Fenza, Mariacristina Gallo, Vincenzo Loia, Alberto Volpe

Open Access 10.04.2024

Cognitive Impairment Detection Based on Frontal Camera Scene While Performing Handwriting Tasks

Diagnosing cognitive impairment is an ongoing field of research especially in the elderly. Assessing the health status of the elderly can be a complex process that requires both subjective and objective measures. Subjective measures, such as …

verfasst von:
Federico Candela, Santina Romeo, Marcos Faundez-Zanuy, Pau Ferrer-Ramos

05.04.2024

A Novel Resilient and Intelligent Predictive Model for CPS-Enabled E-Health Applications

Cyber-physical-social-systems interconnect diverse technologies and communication infrastructure to the Internet for environmental sensing and computation. They offer many real-time autonomous services for smart cities, industry, transportation …

verfasst von:
Amjad Rehman, Khalid Haseeb, Teg Alam, Tanzila Saba, Gwanggil Jeon

04.04.2024

Intelligent Inspection Guidance of Urethral Endoscopy Based on SLAM with Blood Vessel Attentional Features

Due to small imaging range of lens, blurring by jitter in the operation process and high similarity of urethral image features observed in different positions, doctors often face challenges in conducting a quick and comprehensive microscopic …

verfasst von:
Jie Lin, Xiangyu Zeng, Yulong Pan, Shangqing Ren, Yige Bao

Open Access 01.04.2024

Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization

Diabetes mellitus (DM) can cause chronic foot issues and severe infections, including Diabetic Foot Ulcers (DFUs) that heal slowly due to insufficient blood flow. A recurrence of these ulcers can lead to 84% of lower limb amputations and even …

verfasst von:
Rusab Sarmun, Muhammad E. H. Chowdhury, M. Murugappan, Ahmed Aqel, Maymouna Ezzuddin, Syed Mahfuzur Rahman, Amith Khandakar, Sanzida Akter, Rashad Alfkey, Anwarul Hasan

23.03.2024

A Mutual Information-Based Many-Objective Optimization Method for EEG Channel Selection in the Epileptic Seizure Prediction Task

Epileptic seizure prediction using multi-channel electroencephalogram (EEG) signals is very important in clinical therapy. A large number of channels lead to high computational complexity with low model performance. To improve the performance and …

verfasst von:
Najwa Kouka, Rahma Fourati, Asma Baghdadi, Patrick Siarry, M. Adel

Open Access 12.03.2024

Shift-Equivariant Similarity-Preserving Hypervector Representations of Sequences

Hyperdimensional Computing (HDC), also known as Vector-Symbolic Architectures (VSA), is a promising framework for the development of cognitive architectures and artificial intelligence systems, as well as for technical applications and emerging …

verfasst von:
Dmitri A. Rachkovskij

12.03.2024

Normal Template Mapping: An Association-Inspired Handwritten Character Recognition Model

In identifying objects, people usually associate memory templates to guide visual attention and determine the category of an object. The initial character images that children learn are usually normal patterns. However, the variation in …

verfasst von:
Jun Miao, Peng Liu, Chen Chen, Yuanhua Qiao

11.03.2024

ArQuAD: An Expert-Annotated Arabic Machine Reading Comprehension Dataset

Machine Reading Comprehension (MRC) is a task that enables machines to mirror key cognitive processes involving reading, comprehending a text passage, and answering questions about it. There has been significant progress in this task for English …

verfasst von:
Rasha Obeidat, Marwa Al-Harbi, Mahmoud Al-Ayyoub, Luay Alawneh

11.03.2024

Motion Selectivity of the Local Filed Potentials in the Primary Visual Cortex of Rats: A Machine Learning Approach

Using rodents as a model of physiological vision studies requires adequate information about their visual cortex. Although the primary visual cortex of rats has different sub-regions, there are few studies on the different response patterns of …

verfasst von:
Abbas Pourhedayat, Marzie Aghababaeipour Dehkordi, Mohammad Reza Daliri

11.03.2024

Synchronization of Hypercomplex Neural Networks with Mixed Time-Varying Delays

This article discusses the fixed-time synchronization (FTS) of hypercomplex neural networks (HCNNs) with mixed time-varying delays. Unlike finite-time synchronization (FNTS) based on initial conditions, the settling time of FTS can be adjusted to …

verfasst von:
Sapna Baluni, Vijay K. Yadav, Subir Das, Jinde Cao

Open Access 17.02.2024

TB-CXRNet: Tuberculosis and Drug-Resistant Tuberculosis Detection Technique Using Chest X-ray Images

Tuberculosis (TB) is a chronic infectious lung disease, which caused the death of about 1.5 million people in 2020 alone. Therefore, it is important to detect TB accurately at an early stage to prevent the infection and associated deaths. Chest …

verfasst von:
Tawsifur Rahman, Amith Khandakar, Ashiqur Rahman, Susu M. Zughaier, Muna Al Maslamani, Moajjem Hossain Chowdhury, Anas M. Tahir, Md. Sakib Abrar Hossain, Muhammad E. H. Chowdhury

15.02.2024

An Enhanced Decision-Making Framework Driven by Complex Semantics Under Nested Probabilistic Linguistic Environments

Language is the most important way of information transmission for human beings, through which people exchange ideas and guide practice. But the semantic expression has uncertainty, which usually brings difficulties to human’s decision-making …

verfasst von:
Weidong Gan, Zeshui Xu, Xinxin Wang

Open Access 12.02.2024

Deep Multi-task Learning for Animal Chest Circumference Estimation from Monocular Images

The applications of deep learning algorithms with images to various scenarios have attracted significant research attention. However, application scenarios in animal breeding managements are still limited. In this paper we propose a new deep …

verfasst von:
Hongtao Zhang, Dongbing Gu

12.02.2024

Impulsive Projection Neural Networks for Variational Inequalities and Sparse Signal Reconstruction Application

Variational inequalities (VIs) have become a general framework for efficient problems in various fields such as optimal control and nonlinear programming. Some real problems in application areas such as signal processing and network resource …

verfasst von:
Jing Xu, Chuandong Li, Xing He, Hongsong Wen

12.02.2024

The Improved Ordering-Based Search Method Incorporating with Ensemble Learning

The Bayesian network provides a useful way to deal with uncertain information, which helps researchers to better understand the human cognitive process. The foundation of the Bayesian network focuses on identifying the qualitative relations …

verfasst von:
Hao Wang, Zidong Wang, Ruiguo Zhong, Xiaohan Liu, Xiaoguang Gao

07.02.2024

Finite-Time Neuro-adaptive Controller Algorithms for Nonlinear Multiagent Systems with State Constraints and Unmodeled Dynamics

Recently, the distributed adaptive algorithm design for multiagent systems has attracted considerable attention due to the fact that multiagent systems have shared broad application in many practical systems including unmanned aircraft clusters …

verfasst von:
Lihua Tan, Xin Wang