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ORCIDRajesh Kumar 0014
Person information
- affiliation: University of Electronic Science and Technology of China, Computer Science Department, Chengdu, China
Other persons with the same name
- Rajesh Kumar — disambiguation page
- Rajesh Kumar 0001 — Johns Hopkins University, Baltimore, MD, USA
- Rajesh Kumar 0002
![[0000-0002-6019-0702]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-6019-0702")
— Malaviya National Institute of Technology, Jaipur, India - Rajesh Kumar 0003 — University of California, Santa Barbara
- Rajesh Kumar 0004 — Aker Kværner Offshore Partner
- Rajesh Kumar 0005 — United Technologies Research Center
- Rajesh Kumar 0006 — Intel Corporation, Hillsboro
- Rajesh Kumar 0007 — Dept. of Mathematics, PGDAV Evening College, University of Delhi
- Rajesh Kumar 0008 — Directorate of Forensic Science, Ministry of Home Affairs, Govt. of India, New Delhi
- Rajesh Kumar 0009 — Int. Institute of Information Technology, CSTAR, Hyderabad, India
- Rajesh Kumar 0010 — Netaji Subhas Institute of Technology, Department of Instrumentation and Control Engineering, New Delhi, India
- Rajesh Kumar 0011 — Sant Longowal Institute of Engineering and Technology, Longowal, India (and 1 more)
- Rajesh Kumar 0012 — Birla Institute of Technology and Science, Pilani, India (and 1 more)
- Rajesh Kumar 0013 — Thapar University, Computer Science and Engineering Department, Patiala, India
- Rajesh Kumar 0015 — North Eastern Regional Institute of Science and Technology, NERIST, Department of Electronics and Communication, Nirjuli, India
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Journal Articles
- 2024
[j18]Rajesh Kumar, Bernard Mawuli Cobbinah, Aman Ullah, Riaz Ullah Khan, Jay Kumar, Delanyo Kwame Bensah Kulevome, Yunbo Rao, Shaoning Zeng:
Privacy-preserving blockchain-based federated learning for brain tumor segmentation. Comput. Biol. Medicine 177: 108646 (2024)- [j17]Delanyo Kwame Bensah Kulevome, Hong Wang, Bernard Mawuli Cobbinah, Ernest Smith Mawuli, Rajesh Kumar:
Effective time-series Data Augmentation with Analytic Wavelets for bearing fault diagnosis. Expert Syst. Appl. 249: 123536 (2024) - [j16]Waqar Ali, Rajesh Kumar, Xiangmin Zhou, Jie Shao:
Responsible Recommendation Services with Blockchain Empowered Asynchronous Federated Learning. ACM Trans. Intell. Syst. Technol. 15(4): 78:1-78:24 (2024) - 2023
- [j15]Wei Jiang, Qiulin Qian, Wangwen Yong, Rajesh Kumar, Junrui Wu, Hanwen Zhang:
Application of no-light fault prediction of PON based on deep learning method. Comput. Commun. 208: 210-219 (2023) - [j14]Jay Kumar, Junming Shao, Rajesh Kumar, Salah Ud Din, Cobbinah Bernard Mawuli, Qinli Yang:
A context-enhanced Dirichlet model for online clustering in short text streams. Expert Syst. Appl. 228: 120262 (2023) - [j13]Aman Ullah, Junming Shao, Qinli Yang, Nasrullah Khan, Bernard Cobbinah Mawuli, Rajesh Kumar:
LSS: A locality-based structure system to evaluate the spreader's importance in social complex networks. Expert Syst. Appl. 228: 120326 (2023) - [j12]Saifullah Tumrani, Wazir Ali, Rajesh Kumar, Abdullah Aman Khan, Fayaz Ali Dharejo:
View-aware attribute-guided network for vehicle re-identification. Multim. Syst. 29(4): 1853-1863 (2023) - [j11]Jay Kumar, Junming Shao, Rajesh Kumar, Salah Ud Din, Cobbinah Bernard Mawuli, Qinli Yang:
Online Semi-Supervised Classification on Multilabel Evolving High-Dimensional Text Streams. IEEE Trans. Syst. Man Cybern. Syst. 53(10): 5983-5995 (2023) - 2022
- [j10]Rajesh Kumar, Jay Kumar, Abdullah Aman Khan, Zakria, Hub Ali, Bernard Cobbinah Mawuli, Riaz Ullah Khan, Shaoning Zeng:
Blockchain and homomorphic encryption based privacy-preserving model aggregation for medical images. Comput. Medical Imaging Graph. 102: 102139 (2022) - [j9]Muhammad Husnain Haider, Zhonglai Wang, Abdullah Aman Khan, Hub Ali, Hao Zheng, Shaban Usman, Rajesh Kumar, M. Usman Maqbool Bhutta, Pengpeng Zhi:
Robust mobile robot navigation in cluttered environments based on hybrid adaptive neuro-fuzzy inference and sensor fusion. J. King Saud Univ. Comput. Inf. Sci. 34(10 Part B): 9060-9070 (2022) - [j8]Zakria, Jianhua Deng, Rajesh Kumar, Muhammad Saddam Khokhar, Jingye Cai, Jay Kumar:
Multiscale and Direction Target Detecting in Remote Sensing Images via Modified YOLO-v4. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 1039-1048 (2022) - [j7]Jay Kumar, Salah Ud Din, Qinli Yang, Rajesh Kumar, Junming Shao:
An Online Semantic-Enhanced Graphical Model for Evolving Short Text Stream Clustering. IEEE Trans. Cybern. 52(12): 13809-13820 (2022) - 2021
- [j6]Waqar Ali, Rajesh Kumar, Zhiyi Deng, Yansong Wang, Jie Shao:
A Federated Learning Approach for Privacy Protection in Context-Aware Recommender Systems. Comput. J. 64(7): 1016-1027 (2021) - [j5]Rajesh Kumar, Wenyong Wang, Jay Kumar, Ting Yang, Abdullah Aman Khan, Wazir Ali, Ikram Ali:
An Integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals. Comput. Medical Imaging Graph. 87: 101812 (2021) - [j4]Ikram Ali, Yong Chen, Niamat Ullah, Rajesh Kumar, Wen He:
An Efficient and Provably Secure ECC-Based Conditional Privacy-Preserving Authentication for Vehicle-to-Vehicle Communication in VANETs. IEEE Trans. Veh. Technol. 70(2): 1278-1291 (2021) - 2019
- [j3]Rajesh Kumar, Xiaosong Zhang, Wenyong Wang, Riaz Ullah Khan, Jay Kumar, Abubaker Sharif:
A Multimodal Malware Detection Technique for Android IoT Devices Using Various Features. IEEE Access 7: 64411-64430 (2019) - [j2]Emelia Opoku Aboagye, Rajesh Kumar:
Simple and Efficient Computational Intelligence Strategies for Effective Collaborative Decisions. Future Internet 11(1): 24 (2019) - [j1]Riaz Ullah Khan, Xiaosong Zhang, Rajesh Kumar:
Analysis of ResNet and GoogleNet models for malware detection. J. Comput. Virol. Hacking Tech. 15(1): 29-37 (2019)
Conference and Workshop Papers
- 2021
- [c7]Wazir Ali, Rajesh Kumar, Yong Dai, Jay Kumar, Saifullah Tumrani:
Neural Joint Model for Part-of-Speech Tagging and Entity Extraction. ICMLC 2021: 239-245 - 2019
- [c6]Riaz Ullah Khan, Xiaosong Zhang, Mamoun Alazab, Rajesh Kumar:
An Improved Convolutional Neural Network Model for Intrusion Detection in Networks. CCC 2019: 74-77 - [c5]Riaz Ullah Khan, Rajesh Kumar, Mamoun Alazab, Xiaosong Zhang:
A Hybrid Technique To Detect Botnets, Based on P2P Traffic Similarity. CCC 2019: 136-142 - 2018
- [c4]Rajesh Kumar, Xiaosong Zhang, Riaz Ullah Khan, Jay Kumar, Ijaz Ahad:
Effective and Explainable Detection of Android Malware Based on Machine Learning Algorithms. ICCAI 2018: 35-40 - [c3]Rajesh Kumar, Xiaosong Zhang, Riaz Ullah Khan, Ijaz Ahad, Jay Kumar:
Malicious Code Detection based on Image Processing Using Deep Learning. ICCAI 2018: 81-85 - [c2]Riaz Ullah Khan, Xiaosong Zhang, Rajesh Kumar, Emelia Opoku Aboagye:
Evaluating the Performance of ResNet Model Based on Image Recognition. ICCAI 2018: 86-90 - [c1]Emelia Opoku Aboagye, James C. Gee, Jianbin Gao, Rajesh Kumar, Riaz Ullah Khan:
Probabilistic Time Context Framework for Big Data Collaborative Recommendation. ICCAI 2018: 118-121
Informal and Other Publications
- 2021
- [i5]Zakria, Jianhua Deng, Muhammad Saddam Khokhar, Muhammad Umar Aftab, Jingye Cai, Rajesh Kumar, Jay Kumar:
Trends in Vehicle Re-identification Past, Present, and Future: A Comprehensive Review. CoRR abs/2102.09744 (2021) - [i4]Rajesh Kumar, Wenyong Wang, Jay Kumar, Zakria, Ting Yang, Waqar Ali, Abubackar Sharif:
IoTMalware: Android IoT Malware Detection based on Deep Neural Network and Blockchain Technology. CoRR abs/2102.13376 (2021) - [i3]Rajesh Kumar, Wenyong Wang, Cheng Yuan, Jay Kumar, Zakria, He Qing, Ting Yang, Abdullah Aman Khan:
Privacy-Preserved Blockchain-Federated-Learning for Medical Image Analysis Towards Multiple Parties. CoRR abs/2104.10903 (2021) - 2020
- [i2]Rajesh Kumar, Abdullah Aman Khan, Sinmin Zhang, Wenyong Wang, Yousif Abuidris, Waqas Amin, Jay Kumar:
Blockchain-Federated-Learning and Deep Learning Models for COVID-19 detection using CT Imaging. CoRR abs/2007.06537 (2020) - [i1]Wazir Ali, Jay Kumar, Zenglin Xu, Congjian Luo, Junyu Lu, Junming Shao, Rajesh Kumar, Yazhou Ren:
A Subword Guided Neural Word Segmentation Model for Sindhi. CoRR abs/2012.15079 (2020)
Coauthor Index
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