John Paul Martin

According to our database, John Paul Martin authored at least 17 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Speech recognition in edge environments: an exploration of support and impact of model compression.

Carolene Joy, John Paul Martin, Christina Terese Joseph, Manu Madhavan

Lang. Resour. Evaluation, March, 2026

2025

Towards Interpretable Detection of Synthetic Imagery: Combining ResNet-Based Classification with Explainable AI.

Divya Krishna Babu Mukku, Abhishek Harsh, Adarsh Singh Parihar, Akasswh Kiran Boddu, John Paul Martin

Proceedings of the Pattern Recognition and Machine Intelligence, 2025

2024

Proximity Aware Bi-objective Edge Server Placement in Scalable Internet of Vehicles Environment.

Tom Kurian, John Paul Martin, Christina Terese Joseph

Proceedings of the Machine Learning, Image Processing, Network Security and Data Sciences, 2024

IAD-Fed: Internet Addiction Diagnosis from EEG Signals Using Federated Learning in Edge Environments.

G. Anantha Krishnan, John Paul Martin, Christina Terese Joseph, Tom Kurian

Proceedings of the Machine Learning, Image Processing, Network Security and Data Sciences, 2024

Enhancing Sleep Apnea Detection with Lightweight Models: Interpretable Convolutional Neural Network Deployed on Raspberry Pi.

Jayadeep J, Christina Terese Joseph, John Paul Martin

Proceedings of the IEEE International Conference on E-health Networking, 2024

Investigating Salient Object Detection Methods Tailored for Edge Computing Infrastructure.

Elsa Sebastian, John Paul Martin

Proceedings of the Computing, Communication and Learning - Third International Conference, 2024

2023

Fog Assisted Personalized Dynamic Pricing for Smartgrid.

Christina Terese Joseph, John Paul Martin, K. Chandrasekaran, S. P. Raja

IEEE Trans. Comput. Soc. Syst., December, 2023

Improving Industry 4.0 Readiness: Monolith Application Refactoring using Graph Attention Networks.

Tanisha Rathod, Christina Terese Joseph, John Paul Martin

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2021

Machine Learning Powered Autoscaling for Blockchain-Based Fog Environments.

John Paul Martin, Christina Terese Joseph, K. Chandrasekaran, A. Kandasamy

Proceedings of the Blockchain and Applications - 3rd International Congress, 2021

2020

CREW: Cost and Reliability aware Eagle-Whale optimiser for service placement in Fog.

John Paul Martin, A. Kandasamy, K. Chandrasekaran

Softw. Pract. Exp., 2020

Mobility aware autonomic approach for the migration of application modules in fog computing environment.

John Paul Martin, A. Kandasamy, K. Chandrasekaran

J. Ambient Intell. Humaniz. Comput., 2020

HTmRPL++ : A Trust-Aware RPL Routing Protocol for Fog Enabled Internet of Things.

Nishanth Subramanian, Shashwatha Mitra G. B, John Paul Martin, K. Chandra Sekaran

Proceedings of the 2020 International Conference on COMmunication Systems & NETworkS, 2020

2019

Elucidating the challenges for the praxis of fog computing: An aspect-based study.

John Paul Martin, A. Kandasamy, K. Chandrasekaran, Christina Terese Joseph

Int. J. Commun. Syst., 2019

Location Privacy Using Data Obfuscation in Fog Computing.

Chandan Naik, M. Siddhartha, John Paul Martin, K. Chandrasekaran

Proceedings of the TENCON 2019, 2019

Fuzzy Reinforcement Learning based Microservice Allocation in Cloud Computing Environments.

Christina Terese Joseph, John Paul Martin, K. Chandrasekaran, A. Kandasamy

Proceedings of the TENCON 2019, 2019

2018

Exploring the support for high performance applications in the container runtime environment.

John Paul Martin, A. Kandasamy, K. Chandrasekaran

Hum. centric Comput. Inf. Sci., 2018

Machine Learning Approaches for Resource Allocation in the Cloud: Critical Reflections.

Akarsh Murali, Nibir Nirjas Das, Shiv Shankar Sukumaran, K. Chandrasekaran, Christina Terese Joseph, John Paul Martin

Proceedings of the 2018 International Conference on Advances in Computing, 2018