Leveraging machine learning techniques and in-situ measurements for precise predicting the energy performance of regenerative counter-flow indirect evaporative …

AM Zaki, ME Zayed, LM Alhems - Journal of Building Engineering, 2024 - Elsevier
This study explores the performance augmentation of a regenerative counterflow indirect
evaporative cooler (RCFIEC) both experimentally and numerically. A counter flow heat/mass …

[HTML][HTML] Explainable AI for material property prediction based on energy cloud: a shapley-driven approach

F Qayyum, MA Khan, DH Kim, H Ko, GA Ryu - Materials, 2023 - mdpi.com
The scientific community has raised increasing apprehensions over the transparency and
interpretability of machine learning models employed in various domains, particularly in the …

[HTML][HTML] A CNN-GRU Approach to the Accurate Prediction of Batteries' Remaining Useful Life from Charging Profiles

S Jafari, YC Byun - Computers, 2023 - mdpi.com
Predicting the remaining useful life (RUL) is a pivotal step in ensuring the reliability of lithium-
ion batteries (LIBs). In order to enhance the precision and stability of battery RUL prediction …

Evaluating the effectiveness of author-count based metrics in measuring scientific contributions

B Ahmed, L Wang, G Mustafa, MT Afzal… - IEEE …, 2023 - ieeexplore.ieee.org
The assessment and evaluation of the academic influence of the researcher is a challenging
task. This task allows the scientific community to make valuable decisions, such as …

[HTML][HTML] RETRACTED ARTICLE: Shapley-based interpretation of deep learning models for wildfire spread rate prediction

F Qayyum, NA Samee, M Alabdulhafith, A Aziz… - Fire Ecology, 2024 - Springer
Background Predicting wildfire progression is vital for countering its detrimental effects.
While numerous studies over the years have delved into forecasting various elements of …

Accurate remaining useful life estimation of lithium-ion batteries in electric vehicles based on a measurable feature-based approach with explainable AI

S Jafari, YC Byun - The Journal of Supercomputing, 2024 - Springer
Abstract As Electric Vehicles (EVs) become increasingly prevalent, accurately estimating
Lithium-ion Batteries (LIBs) Remaining Useful Life (RUL) is crucial for ensuring safety and …

[HTML][HTML] Unraveling the Potential of Attentive Bi-LSTM for Accurate Obesity Prognosis: Advancing Public Health towards Sustainable Cities

H Ayub, MA Khan, S Shehryar Ali Naqvi, M Faseeh… - Bioengineering, 2024 - mdpi.com
The global prevalence of obesity presents a pressing challenge to public health and
healthcare systems, necessitating accurate prediction and understanding for effective …

[HTML][HTML] Efficient state of charge estimation in electric vehicles batteries based on the extra tree regressor: A data-driven approach

S Jafari, YC Byun - Heliyon, 2024 - cell.com
Global warming, a significant outcome of climate change, exerts detrimental effects on the
daily lives of individuals and industries. As a result, there is an increased demand for Electric …

[HTML][HTML] Urban Geothermal Resource Potential Mapping Using Data-Driven Models—A Case Study of Zhuhai City

Y Bian, Y Ni, Y Guo, J Wen, J Chen, L Chen, Y Yang - Sustainability, 2024 - mdpi.com
Geothermal energy, with its promise of sustainability and a minimal environmental impact,
offers a viable alternative to fossil fuels that can allow us to meet the increasing energy …

ML Models for Energy Efficiency in Office Buildings: A Comprehensive Comparative Analysis

MS Anjana, A Ramanidevi Devidas… - International Conference …, 2024 - Springer
The impact on the environment and rise in energy demand causes significance in achieving
energy efficiency. Personalized automation in smart buildings is one of the approaches for …