Malicious Code Detection based on Image Processing Using Deep Learning. - Rajesh Kumar 014; Xiaosong Zhang 001; Riaz Ullah Khan; Ijaz Ahad; Jay Kumar (ICCAI, 2018)

Effective and Explainable Detection of Android Malware Based on Machine Learning Algorithms. - Rajesh Kumar 014; Xiaosong Zhang 001; Riaz Ullah Khan; Jay Kumar; Ijaz Ahad (ICCAI, 2018)

Probabilistic Time Context Framework for Big Data Collaborative Recommendation. - Emelia Opoku Aboagye; James C. Gee; Jianbin Gao; Rajesh Kumar 014; Riaz Ullah Khan (ICCAI, 2018)

Evaluating the Performance of ResNet Model Based on Image Recognition. - Riaz Ullah Khan; Xiaosong Zhang 001; Rajesh Kumar 014; Emelia Opoku Aboagye (ICCAI, 2018)

A Hybrid Technique To Detect Botnets, Based on P2P Traffic Similarity. - Riaz Ullah Khan; Rajesh Kumar 014; Mamoun Alazab; Xiaosong Zhang 001 (CCC, 2019)

An Improved Convolutional Neural Network Model for Intrusion Detection in Networks. - Riaz Ullah Khan; Xiaosong Zhang 001; Mamoun Alazab; Rajesh Kumar 014 (CCC, 2019)

A Multimodal Malware Detection Technique for Android IoT Devices Using Various Features. - Rajesh Kumar 014; Xiaosong Zhang 001; Wenyong Wang; Riaz Ullah Khan; Jay Kumar; Abubaker Sharif (IEEE Access, 2019)

Simple and Efficient Computational Intelligence Strategies for Effective Collaborative Decisions. - Emelia Opoku Aboagye; Rajesh Kumar 014 (Future Internet, 2019)

Analysis of ResNet and GoogleNet models for malware detection. - Riaz Ullah Khan; Xiaosong Zhang 001; Rajesh Kumar 014 (J. Comput. Virol. Hacking Tech., 2019)

Blockchain-Federated-Learning and Deep Learning Models for COVID-19 detection using CT Imaging. - Rajesh Kumar 014; Abdullah Aman Khan; Sinmin Zhang; Wenyong Wang; Yousif Abuidris; Waqas Amin; Jay Kumar (CoRR, 2020)

A Subword Guided Neural Word Segmentation Model for Sindhi. - Wazir Ali; Jay Kumar; Zenglin Xu; Congjian Luo; Junyu Lu; Junming Shao; Rajesh Kumar 014; Yazhou Ren 001 (CoRR, 2020)

Neural Joint Model for Part-of-Speech Tagging and Entity Extraction. - Wazir Ali; Rajesh Kumar 014; Yong Dai 001; Jay Kumar; Saifullah Tumrani (ICMLC, 2021)

A Federated Learning Approach for Privacy Protection in Context-Aware Recommender Systems. - Waqar Ali 001; Rajesh Kumar 014; Zhiyi Deng; Yansong Wang; Jie Shao 001 (Comput. J., 2021)

An Integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals. - Rajesh Kumar 014; Wenyong Wang; Jay Kumar; Ting Yang; Abdullah Aman Khan; Wazir Ali; Ikram Ali (Comput. Medical Imaging Graph., 2021)

Trends in Vehicle Re-identification Past, Present, and Future: A Comprehensive Review. - Zakria; Jianhua Deng; Muhammad Saddam Khokhar; Muhammad Umar Aftab; Jingye Cai; Rajesh Kumar 014; Jay Kumar (CoRR, 2021)

IoTMalware: Android IoT Malware Detection based on Deep Neural Network and Blockchain Technology. - Rajesh Kumar 014; Wenyong Wang; Jay Kumar; Zakria; Ting Yang; Waqar Ali 001; Abubackar Sharif (CoRR, 2021)

Privacy-Preserved Blockchain-Federated-Learning for Medical Image Analysis Towards Multiple Parties. - Rajesh Kumar 014; Wenyong Wang; Cheng Yuan; Jay Kumar; Zakria; He Qing; Ting Yang; Abdullah Aman Khan (CoRR, 2021)

An Efficient and Provably Secure ECC-Based Conditional Privacy-Preserving Authentication for Vehicle-to-Vehicle Communication in VANETs. - Ikram Ali; Yong Chen 010; Niamat Ullah; Rajesh Kumar 014; Wen He (IEEE Trans. Veh. Technol., 2021)

Blockchain and homomorphic encryption based privacy-preserving model aggregation for medical images. - Rajesh Kumar 014; Jay Kumar; Abdullah Aman Khan; Zakria; Hub Ali; Bernard Cobbinah Mawuli; Riaz Ullah Khan; Shaoning Zeng (Comput. Medical Imaging Graph., 2022)

Multiscale and Direction Target Detecting in Remote Sensing Images via Modified YOLO-v4. - Zakria; Jianhua Deng; Rajesh Kumar 014; Muhammad Saddam Khokhar; Jingye Cai; Jay Kumar (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

An Online Semantic-Enhanced Graphical Model for Evolving Short Text Stream Clustering. - Jay Kumar; Salah Ud Din; Qinli Yang; Rajesh Kumar 014; Junming Shao (IEEE Trans. Cybern., 2022)

Robust mobile robot navigation in cluttered environments based on hybrid adaptive neuro-fuzzy inference and sensor fusion. - Muhammad Husnain Haider; Zhonglai Wang; Abdullah Aman Khan; Hub Ali; Hao Zheng; Shaban Usman; Rajesh Kumar 014; M. Usman Maqbool Bhutta; Pengpeng Zhi (J. King Saud Univ. Comput. Inf. Sci., 2022)

Application of no-light fault prediction of PON based on deep learning method. - Wei Jiang; Qiulin Qian; Wangwen Yong; Rajesh Kumar 014; Junrui Wu; Hanwen Zhang (Comput. Commun., 2023)

View-aware attribute-guided network for vehicle re-identification. - Saifullah Tumrani; Wazir Ali; Rajesh Kumar 014; Abdullah Aman Khan; Fayaz Ali Dharejo (Multim. Syst., 2023)

A context-enhanced Dirichlet model for online clustering in short text streams. - Jay Kumar; Junming Shao; Rajesh Kumar 014; Salah Ud Din; Cobbinah Bernard Mawuli; Qinli Yang (Expert Syst. Appl., 2023)

LSS: A locality-based structure system to evaluate the spreader's importance in social complex networks. - Aman Ullah; Junming Shao; Qinli Yang; Nasrullah Khan; Bernard Cobbinah Mawuli; Rajesh Kumar 014 (Expert Syst. Appl., 2023)

Online Semi-Supervised Classification on Multilabel Evolving High-Dimensional Text Streams. - Jay Kumar; Junming Shao; Rajesh Kumar 014; Salah Ud Din; Cobbinah Bernard Mawuli; Qinli Yang (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Privacy-preserving blockchain-based federated learning for brain tumor segmentation. - Rajesh Kumar 014; Bernard Mawuli Cobbinah; Aman Ullah; Riaz Ullah Khan; Jay Kumar; Delanyo Kwame Bensah Kulevome; Yunbo Rao; Shaoning Zeng (Comput. Biol. Medicine, 2024)

Effective time-series Data Augmentation with Analytic Wavelets for bearing fault diagnosis. - Delanyo Kwame Bensah Kulevome; Hong Wang; Bernard Mawuli Cobbinah; Ernest Smith Mawuli; Rajesh Kumar 014 (Expert Syst. Appl., 2024)

Responsible Recommendation Services with Blockchain Empowered Asynchronous Federated Learning. - Waqar Ali 001; Rajesh Kumar 014; Xiangmin Zhou; Jie Shao 001 (ACM Trans. Intell. Syst. Technol., 2024)

Privacy-preserving federated transfer learning for enhanced liver lesion segmentation in PET-CT imaging. - Rajesh Kumar 014; Shaoning Zeng; Jay Kumar; Zakria; Xinfeng Mao (Artif. Intell. Medicine, 2025)