John Ayeelyan

Orcid: 0000-0002-3889-0112

Affiliations:
  • National Chung Cheng University, Taiwan
  • Galgotias University, Greater Noida, India (former)


According to our database1, John Ayeelyan authored at least 14 papers between 2020 and 2025.

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

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2025
Federated learning design and functional models: survey.
Artif. Intell. Rev., January, 2025

2023
AIX Implementation in Image-Based PM2.5 Estimation: Toward an AI Model for Better Understanding.
Proceedings of the 15th International Conference on Knowledge and Smart Technology, 2023

Analysis of Defect Associated with Powder Bed Fusion with Deep Learning and Explainable AI.
Proceedings of the 15th International Conference on Knowledge and Smart Technology, 2023

2022
An approach to forecast impact of Covid-19 using supervised machine learning model.
Softw. Pract. Exp., 2022

A Novel Technique to Detect and Track Multiple Objects in Dynamic Video Surveillance Systems.
Int. J. Interact. Multim. Artif. Intell., 2022

A hybrid learning approach for the stage-wise classification and prediction of COVID-19 X-ray images.
Expert Syst. J. Knowl. Eng., 2022

DOA tracking for seamless connectivity in beamformed IoT-based drones.
Comput. Stand. Interfaces, 2022

A Synergic Approach of Deep Learning towards Digital Additive Manufacturing: A Review.
Algorithms, 2022

SPChain: A Smart and Private Blockchain-Enabled Framework for Combining GDPR-Compliant Digital Assets Management With AI Models.
IEEE Access, 2022

Federated Trustworthy AI Architecture for Smart Cities.
Proceedings of the IEEE International Smart Cities Conference, 2022

A Smart and Private Blockchain-enabled Framework for Digital Assets.
Proceedings of the 2022 5th International Conference on Blockchain Technology and Applications, 2022

Maritime UAV Patrol Tasks Based on YOLOv4 Object Detection.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

2021
Suspicious activity detection using deep learning in secure assisted living IoT environments.
J. Supercomput., 2021

2020
Multi-modal prediction of breast cancer using particle swarm optimization with non-dominating sorting.
Int. J. Distributed Sens. Networks, 2020


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