ARUN SAMPAUL THOMAS

ARUN SAMPAUL THOMAS

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
2 March 2023 in International Journal of Image and Graphics
Verified
Journal Article
Closed access
PDF file
SKS. Sathish Kumar
S. Sathish Kumar
ASAn. Sigappi
An. Sigappi
ATARUN SAMPAUL THOMAS
ARUN SAMPAUL THOMAS
YRY. Harold Robinson
Y. Harold Robinson
SRS. P. Raja
S. P. Raja


21 June 2024
Verified
Book Chapter
Closed access
SMS. Muthukaruppasamy
S. Muthukaruppasamy
NGNANDHA GOPAL
NANDHA GOPAL
ATARUN SAMPAUL THOMAS
ARUN SAMPAUL THOMAS
The distribution of electricity system will be impacted by the growing number of electric vehicles (EVs). As a result, an infrastructure must be developed to help charging station owners efficiently handle EV customers' charging needs and guarantee that their demands are met without going over the electricity grid's limits. EV users will have issues within a few decades because charging sites will not be available, and the grid will get crowded as a lot of EVs try to charge at the same time. Thus, EV charging trends could be coordinated with the help of artificial intelligence (AI) and blockchain, and charging stations can be connected to the grid. AI is capable of identifying the best times and routes for charging electric vehicles based on the current price of energy. While distributing demand throughout the grid to prevent power spikes, blockchain technology can validate transactions at charging stations. They allow optimised management of energy, decentralised electrical networks, sustainable integration, and future charging infrastructure to expedite the resilient energy systems.


16 November 2024
Verified
Book Chapter
Closed access
PDF file
MFMichele Fiorini
Michele Fiorini
ATARUN SAMPAUL THOMAS
ARUN SAMPAUL THOMAS
PDP. K. Dutta
P. K. Dutta
SKS. Sathish Kumar
S. Sathish Kumar
BKBeulah J. Karthikeyan
Beulah J. Karthikeyan

28 February 2025
Verified
Book Chapter
Closed access
ATARUN SAMPAUL THOMAS
ARUN SAMPAUL THOMAS
SMS. Muthukaruppasamy
S. Muthukaruppasamy
PDP. Deivendran
P. Deivendran
NGNANDHA GOPAL
NANDHA GOPAL
Jose AnandJose Anand
Jose Anand
ITS, an acronym for “Intelligent Transport Systems,” has the potential to significantly transform the administration and commute of cities. More and more people are opting for advanced ITS systems to make transportation safer, more efficient, and more environmentally friendly. The ability of Graph Neural Networks (GNNs) to process complex connections and unexpected input is driving their rising popularity. Intelligent transportation systems utilize graph neural networks.Using common baseline models and statistics in each transportation domain, urban planners and decision-makers design and assess GNN-based frameworks. “Graph Neural Networks for Intelligent Transportation Systems: A Survey” examines the advantages and disadvantages of GNNs and their application in ITS. Future studies find that geographically dispersed networks (GNNs) boost the sustainability, robustness, and efficiency of transportation networks. Enhanced efficiency is another perk.