Rajesh Kumar

Orcid: 0000-0003-0813-7485

Affiliations:
  • University of Electronic Science and Technology of China, Computer Science Department, Chengdu, China


According to our database1, Rajesh Kumar authored at least 30 papers between 2018 and 2024.

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Bibliography

2024
Responsible Recommendation Services with Blockchain Empowered Asynchronous Federated Learning.
ACM Trans. Intell. Syst. Technol., August, 2024

Effective time-series Data Augmentation with Analytic Wavelets for bearing fault diagnosis.
Expert Syst. Appl., 2024

Privacy-preserving blockchain-based federated learning for brain tumor segmentation.
Comput. Biol. Medicine, 2024

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

LSS: A locality-based structure system to evaluate the spreader's importance in social complex networks.
Expert Syst. Appl., October, 2023

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

View-aware attribute-guided network for vehicle re-identification.
Multim. Syst., August, 2023

Application of no-light fault prediction of PON based on deep learning method.
Comput. Commun., 2023

2022
Robust mobile robot navigation in cluttered environments based on hybrid adaptive neuro-fuzzy inference and sensor fusion.
J. King Saud Univ. Comput. Inf. Sci., November, 2022

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

2021
An Efficient and Provably Secure ECC-Based Conditional Privacy-Preserving Authentication for Vehicle-to-Vehicle Communication in VANETs.
IEEE Trans. Veh. Technol., 2021

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

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

2019
Analysis of ResNet and GoogleNet models for malware detection.
J. Comput. Virol. Hacking Tech., 2019

Simple and Efficient Computational Intelligence Strategies for Effective Collaborative Decisions.
Future Internet, 2019

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

An Improved Convolutional Neural Network Model for Intrusion Detection in Networks.
Proceedings of the Cybersecurity and Cyberforensics Conference, 2019

A Hybrid Technique To Detect Botnets, Based on P2P Traffic Similarity.
Proceedings of the Cybersecurity and Cyberforensics Conference, 2019

2018
Evaluating the Performance of ResNet Model Based on Image Recognition.
Proceedings of the 2018 International Conference on Computing and Artificial Intelligence, 2018

Probabilistic Time Context Framework for Big Data Collaborative Recommendation.
Proceedings of the 2018 International Conference on Computing and Artificial Intelligence, 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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