Issue 4/2023
Special Section: Neural networks for early cancer detection (pp. 3627– 3809)/Special Section: Quantum Inspired Neural Networks for Engineering Optimization (pp. 3811– 3861)/Regular Papers (pp. 3863–5267)
Content (74 Articles)
Breast Cancer Detection Based on Modified Harris Hawks Optimization and Extreme Learning Machine Embedded with Feature Weighting
Feng Jiang, Qiannan Zhu, Tianhai Tian
Classification of Phonocardiogram Based on Multi-View Deep Network
Guangyang Tian, Cheng Lian, Bingrong Xu, Junbin Zang, Zhidong Zhang, Chenyang Xue
Osteosarcoma Detection from Whole Slide Images Using Multi-Feature Non-Seed-Based Region Growing Segmentation and Feature Extraction
Priti Bansal, Abhishek Singhal, Kshitiz Gehlot
BTSwin-Unet: 3D U-shaped Symmetrical Swin Transformer-based Network for Brain Tumor Segmentation with Self-supervised Pre-training
Junjie Liang, Cihui Yang, Jingting Zhong, Xiaoli Ye
Contrastive Learning with Dynamic Weighting and Jigsaw Augmentation for Brain Tumor Classification in MRI
Guanghua Xiao, Huibin Wang, Jie Shen, Zhe Chen, Zhen Zhang, Xiaomin Ge
Classification and Detection of Cancer in Histopathologic Scans of Lymph Node Sections Using Convolutional Neural Network
Misbah Ahmad, Imran Ahmed, Messaoud Ahmed Ouameur, Gwanggil Jeon
Effectiveness of Federated Learning and CNN Ensemble Architectures for Identifying Brain Tumors Using MRI Images
Moinul Islam, Md. Tanzim Reza, Mohammed Kaosar, Mohammad Zavid Parvez
Special Issue on Quantum Inspired Neural Networks for Engineering Optimization
Hari Mohan Pandey, Abdesslem Layeb, David Windridge
Hybrid Optimization Algorithms for Resource Allocation in Heterogeneous Cognitive Radio Networks
Yuvaraja Teekaraman, Hariprasath Manoharan, Adam Raja Basha, Abirami Manoharan
Securing Blockchain Transactions Using Quantum Teleportation and Quantum Digital Signature
Sheetal Singh, Nikhil Kumar Rajput, Vipin Kumar Rathi, Hari Mohan Pandey, Amit Kumar Jaiswal, Prayag Tiwari
DRFS: Detecting Risk Factor of Stroke Disease from Social Media Using Machine Learning Techniques
S. Pradeepa, K. R. Manjula, S. Vimal, Mohammad S. Khan, Naveen Chilamkurti, Ashish Kr. Luhach
Deep Learning on Image Stitching With Multi-viewpoint Images: A Survey
Ni Yan, Yupeng Mei, Ling Xu, Huihui Yu, Boyang Sun, Zimao Wang, Yingyi Chen
ROCM: A Rolling Iteration Clustering Model Via Extracting Data Features
Linliang Guo, Limin Wang, Xuming Han, Lin Yue, Yihang Zhang, Minghan Gao
Incomplete Multi-view Learning via Consensus Graph Completion
Heng Zhang, Xiaohong Chen, Enhao Zhang, Liping Wang
High-speed Scene Text Detection with Attention and Multi-scale Label Generation
Yanzhao Wang, Xiaodong Gu
CDMC-Net: Context-Aware Image Deblurring Using a Multi-scale Cascaded Network
Qian Zhao, Dongming Zhou, Hao Yang
Discriminative Deep Non-Linear Dictionary Learning for Visual Object Tracking
Long Xu, Ying Wei, Shengxing Shang
LMI-Based Synchronization Conditions to R-L Fractional Time-Varying Delayed Neural Networks with Parametric Uncertainty
Hongmei Zhang, Hai Zhang, Weiwei Zhang, Jinde Cao
Multi-dimensional Taylor Network-Based Fault-Tolerant Control for Nonlinear Systems with Unmodeled Dynamics and Actuator Faults
Arun Bali, Uday Pratap Singh, Rahul Kumar
Super-Resolution Reconstruction of Single Image Combining Bionic Eagle-Eye and Multi-scale
Xiaofen Jia, Zhenhuan Liang, Yongcun Guo, Yourui Huang, Baiting Zhao
A Step-by-Step Gradient Penalty with Similarity Calculation for Text Summary Generation
Shuai Zhao, Qing Li, Tengjiao He, Jinming Wen
Global Attention-Based Graph Neural Networks for Node Classification
Jiusheng Chen, Chengyuan Fang, Xiaoyu Zhang
Vector-Valued Hopfield Neural Networks and Distributed Synapse Based Convolutional and Linear Time-Variant Associative Memories
Rama Murthy Garimella, Marcos Eduardo Valle, Guilherme Vieira, Anil Rayala, Dileep Munugoti
Multi-attribute Graph Convolution Network for Regional Traffic Flow Prediction
Yue Wang, Aite Zhao, Jianbo Li, Zhiqiang Lv, Chuanhao Dong, Haoran Li
Long Short-Term Memory Networks with Multiple Variables for Stock Market Prediction
Fei Gao, Jiangshe Zhang, Chunxia Zhang, Shuang Xu, Cong Ma
DDCNet-Multires: Effective Receptive Field Guided Multiresolution CNN for Dense Prediction
Ali Salehi, Madhusudhanan Balasubramanian
An Outlier-Robust Growing Local Model Network for Recursive System Identification
Jéssyca A. Bessa, Guilherme A. Barreto, Ajalmar R. Rocha-Neto
Action-Aware Network with Upper and Lower Limit Loss for Weakly-Supervised Temporal Action Localization
Mingwen Bi, Jiaqi Li, Xinliang Liu, Qingchuan Zhang, Zhenghong Yang
An Intuitionistic Fuzzy Random Vector Functional Link Classifier
Upendra Mishra, Deepak Gupta, Barenya Bikash Hazarika
Global Exponential Stability of Inertial Cohen–Grossberg Neural Networks with Time-Varying Delays via Feedback and Adaptive Control Schemes: Non-reduction Order Approach
Sunny Singh, Umesh Kumar, Subir Das, Jinde Cao
Neuro-Evolutionary Computing Paradigm for the SIR Model Based on Infection Spread and Treatment
J. F. Gómez-Aguilar, Zulqurnain Sabir, Manal Alqhtani, Muhammad Umar, Khaled M. Saad
A New Time Series Forecasting Model Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Temporal Convolutional Network
Chen Guo, Xumin Kang, Jianping Xiong, Jianhua Wu
A Strip Dilated Convolutional Network for Semantic Segmentation
Yan Zhou, Xihong Zheng, Wanli Ouyang, Baopu Li
Transfer Learning with Ensembles of Deep Neural Networks for Skin Cancer Detection in Imbalanced Data Sets
Aqsa Saeed Qureshi, Teemu Roos
A Recommendation Algorithm Based on a Self-supervised Learning Pretrain Transformer
Yu-Hao Xu, Zhen-Hai Wang, Zhi-Ru Wang, Rong Fan, Xing Wang
Quasi-Synchronization for Fractional-Order Reaction–Diffusion Quaternion-Valued Neural Networks: An LMI Approach
Xiangliang Sun, Xiaona Song, Jingtao Man, Nana Wu
Application of Meta-Heuristic Algorithms for Training Neural Networks and Deep Learning Architectures: A Comprehensive Review
Mehrdad Kaveh, Mohammad Saadi Mesgari
An Interpretive Adversarial Attack Method: Attacking Softmax Gradient Layer-Wise Relevance Propagation Based on Cosine Similarity Constraint and TS-Invariant
Zigang Chen, Renjie Dai, Zhenghao Liu, Long Chen, Yuhong Liu, Kai Sheng
A Fast Adaptive Online Gradient Descent Algorithm in Over-Parameterized Neural Networks
Anni Yang, Dequan Li, Guangxiang Li
ReLP: Reinforcement Learning Pruning Method Based on Prior Knowledge
Weiwei Zhang, Ming Ji, Haoran Yu, Chenghui Zhen
Scalable Affine Multi-view Subspace Clustering
Wanrong Yu, Xiao-Jun Wu, Tianyang Xu, Ziheng Chen, Josef Kittler
RBF Neural Networks Design with Graph Based Structural Information from Dominating Sets
Marcelo Queiroz, Frederico Coelho, Luiz C. B. Torres, Felipe V. Campos, Gabriel Lara, Wagner Alvarenga, Antônio de Pádua Braga
Self-Transfer Learning Network for Multicolor Fabric Defect Detection
Song Lin, Zhiyong He, Lining Sun
Adaptive Multi-layer Contrastive Graph Neural Networks
Shuhao Shi, Pengfei Xie, Xu Luo, Kai Qiao, Linyuan Wang, Jian Chen, Bin Yan
An Attention-Based Spatio-temporal Model for Methane Concentration Forecasting in Coal Mine
Yifei Gao, Xiaohang Zhang, Zhengren Li, Yu Du
Aleatoric Uncertainty for Errors-in-Variables Models in Deep Regression
J. Martin, C. Elster
Nonparallel Support Vector Machine with L2-norm Loss and its DCD-type Solver
Liming Liu, Ping Li, Maoxiang Chu, Rongfen Gong
Underwater Backscatter Recognition Using Deep Fuzzy Extreme Convolutional Neural Network Optimized via Hunger Games Search
Mohammad Khishe, Mokhtar Mohammadi, Ali Ramezani Varkani
Convergence of Batch Gradient Method for Training of Pi-Sigma Neural Network with Regularizer and Adaptive Momentum Term
Qinwei Fan, Le Liu, Qian Kang, Li Zhou
Adaptive DBN Using Hybrid Bayesian Lichtenberg Optimization for Intelligent Task Allocation
D. Kavitha, M. Priyadharshini, R. Anitha, S. Suma, V. Prema, A. Vidhya
Finite-Time Synchronization for Delayed Inertial Neural Networks by the Approach of the Same Structural Functions
Huaying Liao, Zhen Yang, Zhengqiu Zhang, Yin Zhou
Knowledge Graph Attention Network with Attribute Significance for Personalized Recommendation
Chenyu Wang, Haiyang Zhang, Lingxiao Li, Dun Li
Variance-Constrained Resilient State Estimation for Time-Varying Neural Networks with Random Saturation Observation Under Uncertain Occurrence Probability
Yan Gao, Jun Hu, Hui Yu, Junhua Du, Chaoqing Jia
Further Results on Fixed-Time Cluster Synchronization of Coupled Neural Networks
Rujia Huang, Xiaoyang Liu, Jinde Cao
Deep Convolutional Neural Networks with Transfer Learning for Visual Sentiment Analysis
K. Usha Kingsly Devi, V. Gomathi
Online Learning Approach Based on Recursive Formulation for Twin Support Vector Machine and Sparse Pinball Twin Support Vector Machine
Abolfazl Hasanzadeh Shadiani, Mahdi Aliyari Shoorehdeli
A Generalization of Sigmoid Loss Function Using Tsallis Statistics for Binary Classification
Hilman F. Pardede, Purwoko Adhi, Vicky Zilvan, Asri R. Yuliani, Andria Arisal
Biomedical Image Segmentation Using Fuzzy Artificial Cell Swarm Optimization (FACSO)
Shouvik Chakraborty, Kalyani Mali
Active Learning by Extreme Learning Machine with Considering Exploration and Exploitation Simultaneously
Yan Gu, Hualong Yu, Xibei Yang, Shang Gao