Rajesh Kumar

According to our database, Rajesh Kumar authored at least 27 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Online Semi-Supervised Classification on Multilabel Evolving High-Dimensional Text Streams.

Jay Kumar, Junming Shao, Rajesh Kumar, Salah Ud Din, Cobbinah Bernard Mawuli, Qinli Yang

IEEE Trans. Syst. Man Cybern. Syst., October, 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

Expert Syst. Appl., October, 2023

A context-enhanced Dirichlet model for online clustering in short text streams.

Jay Kumar, Junming Shao, Rajesh Kumar, Salah Ud Din, Cobbinah Bernard Mawuli, Qinli Yang

Expert Syst. Appl., October, 2023

View-aware attribute-guided network for vehicle re-identification.

Saifullah Tumrani, Wazir Ali, Rajesh Kumar, Abdullah Aman Khan, Fayaz Ali Dharejo

Multim. Syst., August, 2023

Application of no-light fault prediction of PON based on deep learning method.

Wei Jiang, Qiulin Qian, Wangwen Yong, Rajesh Kumar, Junrui Wu, Hanwen Zhang

Comput. Commun., 2023

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, M. Usman Maqbool Bhutta, Pengpeng Zhi

J. King Saud Univ. Comput. Inf. Sci., November, 2022

An Online Semantic-Enhanced Graphical Model for Evolving Short Text Stream Clustering.

Jay Kumar, Salah Ud Din, Qinli Yang, Rajesh Kumar, Junming Shao

IEEE Trans. Cybern., 2022

Multiscale and Direction Target Detecting in Remote Sensing Images via Modified YOLO-v4.

Zakria, Jianhua Deng, Rajesh Kumar, Muhammad Saddam Khokhar, Jingye Cai, Jay Kumar

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Blockchain and homomorphic encryption based privacy-preserving model aggregation for medical images.

Rajesh Kumar, Jay Kumar, Abdullah Aman Khan, Zakria, Hub Ali, Bernard Cobbinah Mawuli, Riaz Ullah Khan, Shaoning Zeng

Comput. Medical Imaging Graph., 2022

2021

An Efficient and Provably Secure ECC-Based Conditional Privacy-Preserving Authentication for Vehicle-to-Vehicle Communication in VANETs.

Ikram Ali, Yong Chen, Niamat Ullah, Rajesh Kumar, Wen He

IEEE Trans. Veh. Technol., 2021

Privacy-Preserved Blockchain-Federated-Learning for Medical Image Analysis Towards Multiple Parties.

Rajesh Kumar, Wenyong Wang, Cheng Yuan, Jay Kumar, Zakria, He Qing, Ting Yang, Abdullah Aman Khan

CoRR, 2021

IoTMalware: Android IoT Malware Detection based on Deep Neural Network and Blockchain Technology.

Rajesh Kumar, Wenyong Wang, Jay Kumar, Zakria, Ting Yang, Waqar Ali, Abubackar Sharif

CoRR, 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, Jay Kumar

CoRR, 2021

An Integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals.

Rajesh Kumar, Wenyong Wang, Jay Kumar, Ting Yang, Abdullah Aman Khan, Wazir Ali, Ikram Ali

Comput. Medical Imaging Graph., 2021

A Federated Learning Approach for Privacy Protection in Context-Aware Recommender Systems.

Waqar Ali, Rajesh Kumar, Zhiyi Deng, Yansong Wang, Jie Shao

Comput. J., 2021

Neural Joint Model for Part-of-Speech Tagging and Entity Extraction.

Wazir Ali, Rajesh Kumar, Yong Dai, Jay Kumar, Saifullah Tumrani

Proceedings of the ICMLC 2021: 13th International Conference on Machine Learning and Computing, 2021

2020

A Subword Guided Neural Word Segmentation Model for Sindhi.

Wazir Ali, Jay Kumar, Zenglin Xu, Congjian Luo, Junyu Lu, Junming Shao, Rajesh Kumar, Yazhou Ren

CoRR, 2020

Blockchain-Federated-Learning and Deep Learning Models for COVID-19 detection using CT Imaging.

Rajesh Kumar, Abdullah Aman Khan, Sinmin Zhang, Wenyong Wang, Yousif Abuidris, Waqas Amin, Jay Kumar

CoRR, 2020

2019

Analysis of ResNet and GoogleNet models for malware detection.

Riaz Ullah Khan, Xiaosong Zhang, Rajesh Kumar

J. Comput. Virol. Hacking Tech., 2019

Simple and Efficient Computational Intelligence Strategies for Effective Collaborative Decisions.

Emelia Opoku Aboagye, Rajesh Kumar

Future Internet, 2019

A Multimodal Malware Detection Technique for Android IoT Devices Using Various Features.

Rajesh Kumar, Xiaosong Zhang, Wenyong Wang, Riaz Ullah Khan, Jay Kumar, Abubaker Sharif

IEEE Access, 2019

An Improved Convolutional Neural Network Model for Intrusion Detection in Networks.

Riaz Ullah Khan, Xiaosong Zhang, Mamoun Alazab, Rajesh Kumar

Proceedings of the Cybersecurity and Cyberforensics Conference, 2019

A Hybrid Technique To Detect Botnets, Based on P2P Traffic Similarity.

Riaz Ullah Khan, Rajesh Kumar, Mamoun Alazab, Xiaosong Zhang

Proceedings of the Cybersecurity and Cyberforensics Conference, 2019

2018

Evaluating the Performance of ResNet Model Based on Image Recognition.

Riaz Ullah Khan, Xiaosong Zhang, Rajesh Kumar, Emelia Opoku Aboagye

Proceedings of the 2018 International Conference on Computing and Artificial Intelligence, 2018

Probabilistic Time Context Framework for Big Data Collaborative Recommendation.

Emelia Opoku Aboagye, James C. Gee, Jianbin Gao, Rajesh Kumar, Riaz Ullah Khan

Proceedings of the 2018 International Conference on Computing and Artificial Intelligence, 2018

Effective and Explainable Detection of Android Malware Based on Machine Learning Algorithms.

Rajesh Kumar, Xiaosong Zhang, Riaz Ullah Khan, Jay Kumar, Ijaz Ahad

Proceedings of the 2018 International Conference on Computing and Artificial Intelligence, 2018

Malicious Code Detection based on Image Processing Using Deep Learning.

Rajesh Kumar, Xiaosong Zhang, Riaz Ullah Khan, Ijaz Ahad, Jay Kumar

Proceedings of the 2018 International Conference on Computing and Artificial Intelligence, 2018