Enriching Smart Cities by Optimizing Electric Vehicle Ride-Sharing through Game Theory

D Radakovic, A Singh, AS Varde… - 2022 IEEE 34th …, 2022 - ieeexplore.ieee.org
Pillars of smart cities include smart environment, mobility and economy. We explore impacts
on these to enhance smart cities, heading towards a smart planet. Our motivation emerges …

Opinion Mining on Offshore Wind Energy for Environmental Engineering

I Bittencourt, AS Varde, P Lal - arXiv preprint arXiv:2409.14292, 2024 - arxiv.org
In this paper, we conduct sentiment analysis on social media data to study mass opinion
about offshore wind energy. We adapt three machine learning models, namely, TextBlob …

Hybrid CNN-LSTM and Domain Modeling in Climate-Energy Analysis for a Smart Environment

S Shrestha, B Buckley, AS Varde… - 2023 IEEE 35th …, 2023 - ieeexplore.ieee.org
This study aims to model the effect of local climate on energy generation in power plants in
the United States. It considers climate change as well as the ever-growing electricity …

Power and Solar Energy Predictions Based on Neural Networks and Principal Component Analysis with Meteorological Parameters of Two Different Cities: Case of …

S Diop, PS Traore, ML Ndiaye - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
The overuse of conventional resources based on fossil fuels increases the vulnerability of
our environment. Faced with this effect, increasing the penetration rate of intermittent (non …

Artificial intelligence, machine learning and GIS in environmental engineering: current trends

L Hernández-Alpízar, JA Gómez-Mejía… - Revista Tecnología …, 2024 - revistas.tec.ac.cr
Abstract Recent advances in Artificial Intelligence (AI), Machine Learning (ML), and
Geographic Information Systems (GIS) have significantly enhanced our understanding of …