- Priyanka Singh
, Samir Kumar Borgohain, Achintya Kumar Sarkar, Jayendra Kumar, Lakhan Dev Sharma:
Feed-Forward Deep Neural Network (FFDNN)-Based Deep Features for Static Malware Detection. Int. J. Intell. Syst. 2023: 1-20 (2023) - Mohamed Soliman, Muhammad Majid Gulzar, Adnan Shakoor:
Design of Adaptive Periodic Event-Triggered Mechanism-Based EID with MRC Based on PSO Algorithm for T-S Fuzzy Systems. Int. J. Intell. Syst. 2023: 1-18 (2023) - Nianyun Song, Dianjie Lu, Chunyu Hu, Weizhi Xu, Guijuan Zhang:
Team Recruitment of Collaborative Crowdsensing under Joint Constraints of Willingness and Trust. Int. J. Intell. Syst. 2023: 1-17 (2023) - Qisong Song, Liya Yu, Shaobo Li, Naohiko Hanajima, Xingxing Zhang, Ruiqiang Pu:
Energy Dispatching Based on an Improved PSO-ACO Algorithm. Int. J. Intell. Syst. 2023: 1-17 (2023) - Xudong Song, Qi Zhang, Rui Sun, Rui Tian, Jialiang Sun, Changxian Li, Yunxian Cui:
A Hybrid Deep Learning Prediction Method of Remaining Useful Life for Rolling Bearings Using Multiscale Stacking Deep Residual Shrinkage Network. Int. J. Intell. Syst. 2023: 1-15 (2023) - Siqi Sun, Cheng Huang, Tiejun Wu, Yi Shen:
SecTKG: A Knowledge Graph for Open-Source Security Tools. Int. J. Intell. Syst. 2023: 1-22 (2023) - Qian Sun, Xiao Peng, Xiaoyi Wang, Zhiyao Zhao, Jiping Xu, Li Wang, Huiyan Zhang, Jiabin Yu, Yuting Bai:
Optimal Deployment for Hybrid Sensor Networks Based on Efficient Node Configuration. Int. J. Intell. Syst. 2023: 1-12 (2023) - Jun Sun, Feng Ye, Nadia Nedjah, Ming Zhang, Dong Xu:
Workload-Aware Performance Tuning for Multimodel Databases Based on Deep Reinforcement Learning. Int. J. Intell. Syst. 2023: 1-17 (2023) - Ali Zakir Syed, Duygu Çelik Ozen, Ahmed Z. Abdelkarim, Suayip Burak Duman, Ibrahim Sevki Bayrakdar, Sacide Duman, Özer Çelik, Kaan Orhan:
Automated Mesiodens Detection with Deep-Learning-Based System Using Cone-Beam Computed Tomography Images. Int. J. Intell. Syst. 2023: 1-8 (2023) - Jinbiao Tan, Jiafu Wan, Dan Xia:
Automobile Component Recognition Based on Deep Learning Network with Coarse-Fine-Grained Feature Fusion. Int. J. Intell. Syst. 2023: 1-14 (2023) - Hao Tang, Uzair Aslam Bhatti, Jingbing Li, Shah Marjan, Mehmood Baryalai, Muhammad Assam, Yazeed Yasin Ghadi, Heba G. Mohamed:
A New Hybrid Forecasting Model Based on Dual Series Decomposition with Long-Term Short-Term Memory. Int. J. Intell. Syst. 2023: 1-15 (2023) - Huimin Tang, Yuan Yuan, Tianxiao Gong:
Industrial Chain Disruption Events Monitoring with Deep Learning Methods: A Practical Application in China. Int. J. Intell. Syst. 2023: 1-10 (2023) - Hui Tian, Weiping Ye, Jia Wang, Hanyu Quan, Chin-Chen Chang:
Certificateless Public Auditing for Cloud-Based Medical Data in Healthcare Industry 4.0. Int. J. Intell. Syst. 2023: 1-18 (2023) - Waseem Ullah, Tanveer Hussain, Fath U Min Ullah, Khan Muhammad, Mahmoud Hassaballah, Joel J. P. C. Rodrigues, Sung Wook Baik, Victor Hugo C. de Albuquerque:
AD-Graph: Weakly Supervised Anomaly Detection Graph Neural Network. Int. J. Intell. Syst. 2023: 1-12 (2023) - Tao Wan, Xianqing Deng, Weichuan Liao, Nan Jiang:
Enhancing Fairness in Federated Learning: A Contribution-Based Differentiated Model Approach. Int. J. Intell. Syst. 2023: 1-14 (2023) - Yilin Wang, Zhen Huang, Minghao Hu, Dongsheng Li, Xicheng Lu, Wei Luo, Dong Yang:
Structure Enhanced Path Reasoning for Knowledge Graph Completion. Int. J. Intell. Syst. 2023: 1-18 (2023) - Depei Wang, Lianglun Cheng, Zhuowei Wang:
Augmenting Feature Representation with Gradient Penalty for Robust Text Categorization. Int. J. Intell. Syst. 2023: 1-19 (2023) - Dezheng Wang, Congyan Chen:
Spatiotemporal Self-Attention-Based LSTNet for Multivariate Time Series Prediction. Int. J. Intell. Syst. 2023: 1-16 (2023) - Lu Wang, Shuaidong Guo, Pengli Zhang, Haodong Yue, Yaxiao Li, Chenyi Wang, Zhuang Cao, Di Cui:
An Efficient Load Prediction-Driven Scheduling Strategy Model in Container Cloud. Int. J. Intell. Syst. 2023: 1-25 (2023) - Zhendong Wang, Jingfei Li, Zhenyu Xu, Shuxin Yang, Daojing He, Sammy Chan:
Application of Deep Neural Network with Frequency Domain Filtering in the Field of Intrusion Detection. Int. J. Intell. Syst. 2023: 1-33 (2023) - Zhangdong Wang, Jiaohua Qin, Xuyu Xiang, Yun Tan:
Privacy-Preserving Image Retrieval Based on Disordered Local Histograms and Vision Transformer in Cloud Computing. Int. J. Intell. Syst. 2023: 1-16 (2023) - Yingshuai Wang, Sachurengui Sachurengui, Dezheng Zhang, Aziguli Wulamu, Hashen Bao:
A Factor Marginal Effect Analysis Approach and Its Application in E-Commerce Search System. Int. J. Intell. Syst. 2023: 1-15 (2023) - Ziao Wang, Weixing Wang, Jingxi Chen, Xuzhuang Zhang, Ziheng Miao:
Posture Risk Assessment and Workload Estimation for Material Handling by Computer Vision. Int. J. Intell. Syst. 2023: 1-19 (2023) - Guojian Wang, Faguo Wu, Xiao Zhang, Jianxiang Liu:
Learning Diverse Policies with Soft Self-Generated Guidance. Int. J. Intell. Syst. 2023: 1-14 (2023) - Ziming Wang, Xirong Xu, Xiaoying Song, Haochen Li, Xiaopeng Wei, Degen Huang:
Multigranularity Pruning Model for Subject Recognition Task under Knowledge Base Question Answering When General Models Fail. Int. J. Intell. Syst. 2023: 1-14 (2023) - Zhifeng Wang, Wenxing Yan, Chunyan Zeng, Yuan Tian, Shi Dong:
A Unified Interpretable Intelligent Learning Diagnosis Framework for Learning Performance Prediction in Intelligent Tutoring Systems. Int. J. Intell. Syst. 2023: 1-20 (2023) - Qi Wang, Jianchao Zeng, Pinle Qin, Pengcheng Zhao, Rui Chai, Zhaomin Yang, Jianshan Zhang:
Semi-White-Box Strategy: Enhancing Data Efficiency and Interpretability of Convolutional Neural Networks in Image Processing. Int. J. Intell. Syst. 2023: 1-16 (2023) - Guihua Wen, Sheng Ye, Huihui Li, Pengcheng Wen, Yuhan Zhang:
Multimodal and Multitask Learning with Additive Angular Penalty Focus Loss for Speech Emotion Recognition. Int. J. Intell. Syst. 2023: 1-13 (2023) - Xiuguo Wu, Sheng-Yong Du:
An Optimized Association Rules Mining Framework for Chinese Social Insurance Fund Data Auditing. Int. J. Intell. Syst. 2023: 1-25 (2023) - Zhiyuan Wu, Ning Liu, Guodong Li, Xinyu Liu, Yue Wang, Lin Zhang:
Meta-Learning-Based Spatial-Temporal Adaption for Coldstart Air Pollution Prediction. Int. J. Intell. Syst. 2023: 1-22 (2023)
