Sathishkumar V. E.

Orcid: 0000-0002-8271-2022

Affiliations:
  • Sunway University, Department of Computing and Information Systems, Petaling Jaya, Malaysia
  • Jeonbuk National University, Department of Software Engineering, Jeonju, Republic of Korea
  • Hanyang University (HYU), Department of Industrial Engineering, Seoul, South Korea
  • Sunchon National University, Department of Information and Communication Engineering, Suncheon, Republic of Korea (PhD)


According to our database1, Sathishkumar V. E. authored at least 20 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Season wise bike sharing demand analysis using random forest algorithm.
Comput. Intell., February, 2024

A Secure Method of Communication Through BB84 Protocol in Quantum Key Distribution.
Scalable Comput. Pract. Exp., January, 2024

Correction to: Advanced lightweight feature interaction in deep neural networks for improving the prediction in click through rate.
Ann. Oper. Res., January, 2024

An Empirical Analysis of Multimodal Affective Computing Approaches for Advancing Emotional Intelligence in Artificial Intelligence for Healthcare.
IEEE Access, 2024

A Hybrid Deep Learning Approach for Skin Cancer Classification Using Swin Transformer and Dense Group Shuffle Non-Local Attention Network.
IEEE Access, 2024

An Explainable Deep Learning Network for Environmental Microorganism Classification Using Attention-Enhanced Semi-Local Features.
IEEE Access, 2024

2023
Numerical and Machine Learning Approach for Fe3O4-Au/Blood Hybrid Nanofluid Flow in a Melting/Non-Melting Heat Transfer Surface with Entropy Generation.
Symmetry, August, 2023

Steel Industry Energy Consumption.
Dataset, August, 2023

A Gradient Boosted Decision Tree-Based Influencer Prediction in Social Network Analysis.
Big Data Cogn. Comput., March, 2023

Information Retrieval and Optimization in Distribution and Logistics Management Using Deep Reinforcement Learning.
Int. J. Inf. Syst. Supply Chain Manag., 2023

Multiple Types of Cancer Classification Using CT/MRI Images Based on Learning Without Forgetting Powered Deep Learning Models.
IEEE Access, 2023

Enhanced Feature Model Based Hybrid Neural Network for Text Detection on Signboard, Billboard and News Tickers.
IEEE Access, 2023

2022
Steel Industry Energy Consumption.
Dataset, January, 2022

A Comprehensive Review on Secure Data Sharing in Cloud Environment.
Wirel. Pers. Commun., 2022

The role of contemporary digital tools and technologies in COVID-19 crisis: An exploratory analysis.
Expert Syst. J. Knowl. Eng., 2022

Augmented reality technology based on school physical education training.
Comput. Electr. Eng., 2022

Hyperparameter Optimization for Transfer Learning of VGG16 for Disease Identification in Corn Leaves Using Bayesian Optimization.
Big Data, 2022

A Lightweight Depthwise Separable Convolution Neural Network for Screening Covid-19 Infection from Chest CT and X-ray Images.
Proceedings of the 18th International Conference on Distributed Computing in Sensor Systems, 2022

AI Powered COVID-19 Detection System using Non-Contact Sensing Technology and Deep Learning Techniques.
Proceedings of the 18th International Conference on Distributed Computing in Sensor Systems, 2022

2020
Using data mining techniques for bike sharing demand prediction in metropolitan city.
Comput. Commun., 2020


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