Jay Kumar

Orcid: 0000-0003-4915-9701

According to our database1, Jay Kumar authored at least 31 papers between 2018 and 2023.

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Bibliography

2023
FedStream: Prototype-Based Federated Learning on Distributed Concept-Drifting Data Streams.
IEEE Trans. Syst. Man Cybern. Syst., November, 2023

Online Semi-Supervised Classification on Multilabel Evolving High-Dimensional Text Streams.
IEEE Trans. Syst. Man Cybern. Syst., October, 2023

A context-enhanced Dirichlet model for online clustering in short text streams.
Expert Syst. Appl., October, 2023

Dynamic context management in context-aware recommender systems.
Comput. Electr. Eng., April, 2023

Semi-supervised federated learning on evolving data streams.
Inf. Sci., 2023

Building a Safer Maritime Environment Through Multi-Path Long-Term Vessel Trajectory Forecasting.
CoRR, 2023

A 750mW 24GS/s 12b Time-Interleaved ADC for Direct RF Sampling in Modern Wireless Systems.
Proceedings of the IEEE International Solid- State Circuits Conference, 2023

NEOS: Non-intrusive Edge Observability stack based on Zero Trust security model for Ubiquitous Computing.
Proceedings of the IEEE International Conference on Edge Computing and Communications, 2023

2022
An Online Semantic-Enhanced Graphical Model for Evolving Short Text Stream Clustering.
IEEE Trans. Cybern., 2022

Learning High-Dimensional Evolving Data Streams With Limited Labels.
IEEE Trans. Cybern., 2022

Multiscale and Direction Target Detecting in Remote Sensing Images via Modified YOLO-v4.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Blockchain and homomorphic encryption based privacy-preserving model aggregation for medical images.
Comput. Medical Imaging Graph., 2022

Inferring context with reliable collaborators: a novel similarity estimation method for recommender systems.
Appl. Intell., 2022

2021
Data stream classification with novel class detection: a review, comparison and challenges.
Knowl. Inf. Syst., 2021

Privacy-Preserved Blockchain-Federated-Learning for Medical Image Analysis Towards Multiple Parties.
CoRR, 2021

A Survey on Semi-parametric Machine Learning Technique for Time Series Forecasting.
CoRR, 2021

IoTMalware: Android IoT Malware Detection based on Deep Neural Network and Blockchain Technology.
CoRR, 2021

Trends in Vehicle Re-identification Past, Present, and Future: A Comprehensive Review.
CoRR, 2021

An Integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals.
Comput. Medical Imaging Graph., 2021

Creating and Evaluating Resources for Sentiment Analysis in the Low-resource Language: Sindhi.
Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, 2021

Neural Joint Model for Part-of-Speech Tagging and Entity Extraction.
Proceedings of the ICMLC 2021: 13th International Conference on Machine Learning and Computing, 2021

2020
A new soft computing approach for order diminution of interval system.
Int. J. Syst. Assur. Eng. Manag., 2020

Online reliable semi-supervised learning on evolving data streams.
Inf. Sci., 2020

A Subword Guided Neural Word Segmentation Model for Sindhi.
CoRR, 2020

Blockchain-Federated-Learning and Deep Learning Models for COVID-19 detection using CT Imaging.
CoRR, 2020

Fake Review Detection Using Behavioral and Contextual Features.
CoRR, 2020

An Online Semantic-enhanced Dirichlet Model for Short Text Stream Clustering.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
A New Corpus for Low-Resourced Sindhi Language with Word Embeddings.
CoRR, 2019

A Multimodal Malware Detection Technique for Android IoT Devices Using Various Features.
IEEE Access, 2019

2018
Effective and Explainable Detection of Android Malware Based on Machine Learning Algorithms.
Proceedings of the 2018 International Conference on Computing and Artificial Intelligence, 2018

Malicious Code Detection based on Image Processing Using Deep Learning.
Proceedings of the 2018 International Conference on Computing and Artificial Intelligence, 2018


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