Researchers at the Indian Institute of Technology Gandhinagar (IITGN) have developed an adaptive charging strategy for ...
A Systematic Review of Adoption, Barriers and Strategic Implications and published in Administrative Sciences, reviewed 37 peer-reviewed studies from 2015 to 2025 and found that AI-driven demand ...
New research debunks machine learning’s ability to pick winning mutual funds, revealing it mainly helps investors avoid ...
FAYETTEVILLE, GA, UNITED STATES, May 26, 2026 /EINPresswire.com/ -- Lead (Pb) contamination in agricultural soils is an ...
Abstract: Federated Learning (FL) is an emerging computing paradigm to collaboratively train Machine Learning (ML) models across multi-source data while preserving privacy. The major challenge of ...
Artificial intelligence is rapidly changing the job market, automating jobs across industries. Therefore, in such a scenario, upskilling oneself in industry-relevant AI skills becomes even more ...
Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...
Abstract: This research aims to formulate an optimal control algorithm for a hydrothermal air-conditioning system, with the objective of minimizing energy consumption while simultaneously ensuring ...
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