Jay Kumar

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 33

Top Topics

Evolving Data Streams

Malware Detection

Top Venues

IEEE Trans. Cybern.

IEEE Trans. Syst. Man Cybern. Syst.

Publications

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 (2024)
Gabriel Spadon, Jay Kumar, Jinkun Chen, Matthew Smith, Casey Hilliard, Sarah Vela, Romina Gehrmann, Claudio DiBacco, Stan Matwin, Ronald Pelot
Maritime Tracking Data Analysis and Integration with AISdb. CoRR (2024)
Waqar Ali, Jay Kumar, Cobbinah Bernard Mawuli, Lei She, Jie Shao
Dynamic context management in context-aware recommender systems. Comput. Electr. Eng. 107 (2023)
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) (2023)
Cobbinah Bernard Mawuli, Liwei Che, Jay Kumar, Salah Ud Din, Zhili Qin, Qinli Yang, Junming Shao
FedStream: Prototype-Based Federated Learning on Distributed Concept-Drifting Data Streams. IEEE Trans. Syst. Man Cybern. Syst. 53 (11) (2023)
Gabriel Spadon, Jay Kumar, Matthew Smith, Sarah Vela, Romina Gehrmann, Derek Eden, Joshua van Berkel, Amílcar Soares, Ronan Fablet, Ronald Pelot, Stan Matwin
Building a Safer Maritime Environment Through Multi-Path Long-Term Vessel Trajectory Forecasting. CoRR (2023)
Sandeep Santhosh Kumar, Masahiro Kudo, Vlad Cretu, Antoine Morineau, Atsushi Matsuda, Minori Yoshida, Masazumi Marutani, Aadil Hussain Maniyar, Jay Kumar
A 750mW 24GS/s 12b Time-Interleaved ADC for Direct RF Sampling in Modern Wireless Systems. ISSCC (2023)
Cobbinah Bernard Mawuli, Jay Kumar, Ebenezer Nanor, Shangxuan Fu, Liangxu Pan, Qinli Yang, Wei Zhang, Junming Shao
Semi-supervised federated learning on evolving data streams. Inf. Sci. 643 (2023)
Abhijit Kumar, Tauseef Ahmed, Konica Saini, Jay Kumar
NEOS: Non-intrusive Edge Observability stack based on Zero Trust security model for Ubiquitous Computing. EDGE (2023)
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 (2023)
Salah Ud Din, Jay Kumar, Junming Shao, Cobbinah Bernard Mawuli, Waldiodio David Ndiaye
Learning High-Dimensional Evolving Data Streams With Limited Labels. IEEE Trans. Cybern. 52 (11) (2022)
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) (2022)
Rajesh Kumar, Jay Kumar, Abdullah Aman Khan, Zakria, Hub Ali, Cobbinah M. Bernard, Riaz Ullah Khan, Shaoning Zeng
Blockchain and homomorphic encryption based privacy-preserving model aggregation for medical images. Comput. Medical Imaging Graph. 102 (2022)
Waqar Ali, Jay Kumar, Jie Shao
Inferring context with reliable collaborators: a novel similarity estimation method for recommender systems. Appl. Intell. 52 (12) (2022)
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 (2022)
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 (2021)
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 (2021)
Khwaja Mutahir Ahmad, Gang He, Wenxin Yu, Xiaochuan Xu, Jay Kumar, Muhammad Asim Saleem
A Survey on Semi-parametric Machine Learning Technique for Time Series Forecasting. CoRR (2021)
Wazir Ali, Naveed Ali, Yong Dai, Jay Kumar, Saifullah Tumrani, Zenglin Xu
Creating and Evaluating Resources for Sentiment Analysis in the Low-resource Language: Sindhi. WASSA@EACL (2021)
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 (2021)
Wazir Ali, Rajesh Kumar, Yong Dai, Jay Kumar, Saifullah Tumrani
Neural Joint Model for Part-of-Speech Tagging and Entity Extraction. ICMLC (2021)
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 (2021)
Salah Ud Din, Junming Shao, Jay Kumar, Cobbinah Bernard Mawuli, S. M. Hasan Mahmud, Wei Zhang, Qinli Yang
Data stream classification with novel class detection: a review, comparison and challenges. Knowl. Inf. Syst. 63 (9) (2021)
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 (2020)
Salah Ud Din, Junming Shao, Jay Kumar, Waqar Ali, Jiaming Liu, Yu Ye
Online reliable semi-supervised learning on evolving data streams. Inf. Sci. 525 (2020)
Jay Kumar, Junming Shao, Salah Uddin, Wazir Ali
An Online Semantic-enhanced Dirichlet Model for Short Text Stream Clustering. ACL (2020)
Jay Kumar, Afzal Sikander, Monica Mehrotra, Girish Parmar
A new soft computing approach for order diminution of interval system. Int. J. Syst. Assur. Eng. Manag. 11 (2) (2020)
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 (2020)
Jay Kumar
Fake Review Detection Using Behavioral and Contextual Features. CoRR (2020)
Wazir Ali, Jay Kumar, Junyu Lu, Zenglin Xu
A New Corpus for Low-Resourced Sindhi Language with Word Embeddings. CoRR (2019)
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 (2019)
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)
Rajesh Kumar, Xiaosong Zhang, Riaz Ullah Khan, Ijaz Ahad, Jay Kumar
Malicious Code Detection based on Image Processing Using Deep Learning. ICCAI (2018)