Cognitive Computation

• Open Access

State-of-the-Art of Stress Prediction from Heart Rate Variability Using Artificial Intelligence

Yeaminul Haque, Rahat Shahriar Zawad, Chowdhury Saleh Ahmed Rony, Hasan Al Banna, Tapotosh Ghosh, M. Shamim Kaiser, Mufti Mahmud

Machine Un-learning: An Overview of Techniques, Applications, and Future Directions

Siva Sai, Uday Mittal, Vinay Chamola, Kaizhu Huang, Indro Spinelli, Simone Scardapane, Zhiyuan Tan, Amir Hussain

Graph-Based Interactive Matching for Pairs of News Articles

Kunhao Pan, Guowei Zhang, Meng Liao, Jin Xu

A Novel Cognitively Inspired Deep Learning Approach to Detect Drivable Areas for Self-driving Cars

Fengling Jiang, Zeling Wang, Guoqing Yue

Trustworthy Artificial Intelligence Based on an Explicable Temporal Feature Network for Industrial Fault Diagnosis

Junwei Hu, Yong Zhang, Weigang Li, Xiujuan Zheng, Zhiqiang Tian

Fast Clustering for Cooperative Perception Based on LiDAR Adaptive Dynamic Grid Encoding

Xinkai Kuang, Hui Zhu, Biao Yu, Bichun Li

A Novel Feature Fusion Approach for Classification of Motor Imagery EEG Based on Hierarchical Extreme Learning Machine

Lijuan Duan, Zhaoyang Lian, Yuanhua Qiao, Juncheng Chen, Jun Miao, Mingai Li

A Multi-attention Triple Decoder Deep Convolution Network for Breast Cancer Segmentation Using Ultrasound Images

Muhammad Junaid Umer, Muhammad Sharif, Mudassar Raza

MC-GAT: Multi-Channel Graph Attention Networks for Capturing Diverse Information in Complex Graphs

Zhiyao La, Yurong Qian, Hongyong Leng, Tianyu Gu, Weijun Gong, Jiaying Chen

• Open Access

Gradient-Based Competitive Learning: Theory

Giansalvo Cirrincione, Vincenzo Randazzo, Pietro Barbiero, Gabriele Ciravegna, Eros Pasero

Optimizing Sentiment Analysis: A Cognitive Approach with Negation Handling via Mathematical Modelling

Neha Punetha, Goonjan Jain

A Novel Regularized Extreme Learning Machine Based on -Norm and -Norm: a Sparsity Solution Alternative to Lasso and Elastic Net

Hasan Yıldırım, M. Revan Özkale

Non-linear Feature Selection Based on Convolution Neural Networks with Sparse Regularization

Wen-Bin Wu, Si-Bao Chen, Chris Ding, Bin Luo

Global Exponential Synchronization of Clifford-Valued Memristive Fuzzy Neural Networks with Delayed Impulses

Ningning Zhao, Yuanhua Qiao

A Novel Heuristic Exploration Method Based on Action Effectiveness Constraints to Relieve Loop Enhancement Effect in Reinforcement Learning with Sparse Rewards

Zhenghongyuan Ni, Ye Jin, Peng Liu, Wei Zhao

Classification of Developmental and Brain Disorders via Graph Convolutional Aggregation

Ibrahim Salim, A. Ben Hamza

Event-Triggered Adaptive Neural Control for Full State-Constrained Nonlinear Systems with Unknown Disturbances

Ziming Wang, Hui Wang, Xin Wang, Ning Pang, Quan Shi

An Enhanced Interactive and Multi-criteria Decision-Making (TODIM) Method with Probabilistic Dual Hesitant Fuzzy Sets for Risk Evaluation of Arctic Geopolitics

Chenyang Song, Zeshui Xu, Yixin Zhang

A Cognitively Inspired Multi-granularity Model Incorporating Label Information for Complex Long Text Classification

Li Gao, Yi Liu, Jianmin Zhu, Zhen Yu

• Open Access

Synaptic Facilitation: A Key Biological Mechanism for Resource Allocation in Computational Models of Working Memory

Marta Balagué-Marmaña, Laura Dempere-Marco

Real-Time Multi-Class Classification of Respiratory Diseases Through Dimensional Data Combinations

Yejin Kim, David Camacho, Chang Choi

AGD-Net: Attention-Guided Dense Inception U-Net for Single-Image Dehazing

Amit Chougule, Agneya Bhardwaj, Vinay Chamola, Pratik Narang