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Vimal Shanmuganathan
PeerJ Author & Reviewer
1,530 Points

Contributions by role

Reviewer 30
Editor 1,500

Contributions by subject area

Artificial Intelligence
Computational Linguistics
Natural Language and Speech
Text Mining
Sentiment Analysis
Algorithms and Analysis of Algorithms
Computer Networks and Communications
Data Science
Network Science and Online Social Networks
Data Mining and Machine Learning
World Wide Web and Web Science
Computer Vision
Neural Networks
Bioinformatics
Multimedia
Agents and Multi-Agent Systems
Brain-Computer Interface
Human-Computer Interaction
Computer Education
Cryptography
Security and Privacy
Cryptocurrency
Blockchain
Embedded Computing
Digital Libraries

Vimal Shanmuganathan

PeerJ Author & Reviewer

Summary

Dr. Vimal Shanmuganathan is in the Department of Artificial Intelligence and Data Science, Ramco Institute of Technology, India. His areas of interest include Game Modeling, Artificial Intelligence, Cognitive Radio Networks, Network Security, Machine Learning and Big Data Analytics. He has acted as session chair, organizing committee member, advisory committee and outreach committee member for various international conferences. He has also served as Guest Editor for several International journals and has edited two books. He is a member of (ACM, IEEE, IET, etc.).He holds a Post doc in AI based Medical data handling for clinical decision and PhD degree in Cognitive Radio Networking and Security techniques using AI from Anna University Chennai, Tamilnadu, India

Algorithms & Analysis of Algorithms Artificial Intelligence Autonomous Systems Bioinformatics Blockchain Brain-Computer Interface Computer Architecture Computer Networks & Communications Cryptography Data Mining & Machine Learning Data Science Databases Human-Computer Interaction Natural Language & Speech Network Science & Online Social Networks Neural Networks Scientific Computing & Simulation Security & Privacy World Wide Web & Web Science

Work details

Associate Professor

Ramco Institute of Technology
Artificial Intelligence and Data Science

Websites

  • Google Scholar

PeerJ Contributions

  • Edited 14

Academic Editor on

February 23, 2024
A comparison of deep transfer learning backbone architecture techniques for printed text detection of different font styles from unstructured documents
Supriya Mahadevkar, Shruti Patil, Ketan Kotecha, Ajith Abraham
https://doi.org/10.7717/peerj-cs.1769
December 18, 2023
Voice spoofing detection using a neural networks assembly considering spectrograms and mel frequency cepstral coefficients
Carlos Alberto Hernández-Nava, Eric Alfredo Rincón-García, Pedro Lara-Velázquez, Sergio Gerardo de-los-Cobos-Silva, Miguel Angel Gutiérrez-Andrade, Roman Anselmo Mora-Gutiérrez
https://doi.org/10.7717/peerj-cs.1740
September 19, 2023
A new hybrid method combining search and direct based construction ideas to generate all 4 × 4 involutory maximum distance separable (MDS) matrices over binary field extensions
Gökhan Tuncay, Fatma Büyüksaraçoğlu Sakallı, Meltem Kurt Pehlivanoğlu, Gülsüm Gözde Yılmazgüç, Sedat Akleylek, Muharrem Tolga Sakallı
https://doi.org/10.7717/peerj-cs.1577
May 19, 2023
Drought stress detection technique for wheat crop using machine learning
Ankita Gupta, Lakhwinder Kaur, Gurmeet Kaur
https://doi.org/10.7717/peerj-cs.1268
March 10, 2023
Classification and prediction of spinal disease based on the SMOTE-RFE-XGBoost model
Biao Zhang, Xinyan Dong, Yuwei Hu, Xuchu Jiang, Gongchi Li
https://doi.org/10.7717/peerj-cs.1280
June 7, 2022
A longitudinal study of topic classification on Twitter
Mohamed Reda Bouadjenek, Scott Sanner, Zahra Iman, Lexing Xie, Daniel Xiaoliang Shi
https://doi.org/10.7717/peerj-cs.991
May 19, 2022
Identifying defective solar cells in electroluminescence images using deep feature representations
Alaa S. Al‐Waisy, Dheyaa Ahmed Ibrahim, Dilovan Asaad Zebari, Shumoos Hammadi, Hussam Mohammed, Mazin Abed Mohammed, Robertas Damaševičius
https://doi.org/10.7717/peerj-cs.992
May 18, 2022
A systematic review on machine learning models for online learning and examination systems
Sanaa Kaddoura, Daniela Elena Popescu, Jude D. Hemanth
https://doi.org/10.7717/peerj-cs.986
May 3, 2022
Multi-modal affine fusion network for social media rumor detection
Boyang Fu, Jie Sui
https://doi.org/10.7717/peerj-cs.928
February 21, 2022
Utilizing grid search cross-validation with adaptive boosting for augmenting performance of machine learning models
Muhammad Adnan, Alaa Abdul Salam Alarood, M. Irfan Uddin, Izaz ur Rehman
https://doi.org/10.7717/peerj-cs.803
January 25, 2022
Determining the factors affecting customer satisfaction using an extraction-based feature selection approach
Weishen Wu, Dalianus Riantama
https://doi.org/10.7717/peerj-cs.850
January 20, 2022
A systematic literature review on spam content detection and classification
Sanaa Kaddoura, Ganesh Chandrasekaran, Daniela Elena Popescu, Jude Hemanth Duraisamy
https://doi.org/10.7717/peerj-cs.830
October 26, 2021
Intelligent scaling for 6G IoE services for resource provisioning
Abdullah Alharbi, Hashem Alyami, Poongodi M, Hafiz Tayyab Rauf, Seifedine Kadry
https://doi.org/10.7717/peerj-cs.755
September 17, 2021
An adaptive hybrid XdeepFM based deep Interest network model for click-through rate prediction system
Qiao Lu, Silin Li, Tuo Yang, Chenheng Xu
https://doi.org/10.7717/peerj-cs.716