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Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2026)
Guest Editors: Prof. Paul Andrew
Deadline: 31 December 2026

Special Issue on Artificial Intelligence for Energy Transition and Decarbonization (SI-AIETD26)
Guest Editors: Dr. Elkhatib Kamal, Dr. Reza Ghorbani, Dr. Ahmed Ragab, Prof. Mohamed Kouki
Deadline: 31 July 2027

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Keyword: Resource Management
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Open AccessArticle
11 Pages, 2,131 KB Download PDF
Education and Sustainability Habits – Portuguese Students’ Perspectives

by Natércia Lima, Clara Viegas, Alexandra R. Costa, Claudia Orozco-Rodríguez, Gustavo R. Alves and André Vaz Fidalgo
Journal of Engineering Research and Sciences, Volume 4, Issue 7, Page # 15-25, 2025; DOI: 10.55708/js0407002
Abstract: Even though the use of technology in Education grew during the COVID Pandemic and some habits even contributed positively regarding the planet sustainability, after five years what can be said about students’ perception about it? This work is a follow-up to a previous study made shortly after academic life resumed its normality. A student questionnaire… Read More

(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2025 and the Section Education and Educational Research (EER))

Open AccessArticle
8 Pages, 4,776 KB Download PDF
Prakriti: A Gamified Approach to Saving Water

by Tathagata Bhattacharya, Xiaopu Peng, Ishita Joshi, Ting Cao, Jianzhou Mao and Xiao Qin
Journal of Engineering Research and Sciences, Volume 1, Issue 2, Page # 33-40, 2022; DOI: 10.55708/js0102004
Abstract: Prakriti is a Sanskrit word which signifies Mother Nature. Our game Prakriti is designed to educate people about how they can save water resources and contribute to freshwater resources. This is a multiplayer game designed to set a thrilling, challenging and dramatic effect on the players. The game consists of its formal and dramatic elements.… Read More

(This article belongs to the Section Environmental Engineering (EVE))

Open AccessArticle
9 Pages, 5,031 KB Download PDF
Using Artificial Intelligence Models to Predict the Wind Power to be fed into the Grid

by Sambalaye Diop, Papa Silly Traore, Mamadou Lamine Ndiaye and Issa Zerbo
Journal of Engineering Research and Sciences, Volume 3, Issue 6, Page # 1-9, 2024; DOI: 10.55708/js0306001
Abstract: The Taïba Ndiaye wind farm, connected to the SENELEC grid, plays a key role in offsetting shortfalls in electricity consumption, with an installed capacity of 158.7 MW. Moreover, as an intermittent power station, its production is highly dependent on the environmental conditions in the region. Bad weather can disrupt the electricity network, requiring forecasting methods… Read More

(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences 2023-24 and the Section Electrical Engineering (ELE))

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