Explainable artificial intelligence for drug discovery and development-a comprehensive survey

R Alizadehsani, SS Oyelere, S Hussain… - IEEE …, 2024 - ieeexplore.ieee.org
The field of drug discovery has experienced a remarkable transformation with the advent of
artificial intelligence (AI) and machine learning (ML) technologies. However, as these AI and …

Explainable diabetes classification using hybrid Bayesian-optimized TabNet architecture

LP Joseph, EA Joseph, R Prasad - Computers in Biology and Medicine, 2022 - Elsevier
Diabetes is a deadly chronic disease that occurs when the pancreas is not able to produce
ample insulin or when the body cannot use insulin effectively. If undetected, it may lead to a …

Early prediction of diabetes using an ensemble of machine learning models

A Dutta, MK Hasan, M Ahmad, MA Awal… - International Journal of …, 2022 - mdpi.com
Diabetes is one of the most rapidly spreading diseases in the world, resulting in an array of
significant complications, including cardiovascular disease, kidney failure, diabetic …

Machine learning for the management of biochar yield and properties of biomass sources for sustainable energy

VG Nguyen, P Sharma, Ü Ağbulut… - Biofuels, Bioproducts …, 2024 - Wiley Online Library
Biochar is emerging as a potential solution for biomass conversion to meet the ever
increasing demand for sustainable energy. Efficient management systems are needed in …

Potential of explainable artificial intelligence in advancing renewable energy: challenges and prospects

VN Nguyen, W Tarełko, P Sharma, AS El-Shafay… - Energy & …, 2024 - ACS Publications
Modern machine learning (ML) techniques are making inroads in every aspect of renewable
energy for optimization and model prediction. The effective utilization of ML techniques for …

[HTML][HTML] Enhanced joint hybrid deep neural network explainable artificial intelligence model for 1-hr ahead solar ultraviolet index prediction

SS Prasad, RC Deo, S Salcedo-Sanz, NJ Downs… - Computer Methods and …, 2023 - Elsevier
Abstract Background and Objective Exposure to solar ultraviolet (UV) radiation can cause
malignant keratinocyte cancer and eye disease. Develo** a user-friendly, portable, real …

Advances in Henry Gas Solubility Optimization: A Physics-Inspired Metaheuristic Algorithm With Its Variants and Applications

MA El-Shorbagy, A Bouaouda, HA Nabwey… - IEEE …, 2024 - ieeexplore.ieee.org
The Henry Gas Solubility Optimization (HGSO) is a physics-based metaheuristic inspired by
Henry's law, which describes the solubility of the gas in a liquid under specific pressure …

Development of a smartphone-based expert system for COVID-19 risk prediction at early stage

M Raihan, MM Hassan, T Hasan, AAM Bulbul… - Bioengineering, 2022 - mdpi.com
COVID-19 has imposed many challenges and barriers on traditional healthcare systems due
to the high risk of being infected by the coronavirus. Modern electronic devices like …

New criteria for wrapper feature selection to enhance bearing fault classification

MA Sahraoui, C Rahmoune, I Meddour… - Advances in …, 2023 - journals.sagepub.com
Classification is a critical task in many fields, including signal processing and data analysis.
The accuracy and stability of classification results can be improved by selecting the most …

Use of feature importance statistics to accurately predict asthma attacks using machine learning: A cross-sectional cohort study of the US population

AA Huang, SY Huang - Plos one, 2023 - journals.plos.org
Background Asthma attacks are a major cause of morbidity and mortality in vulnerable
populations, and identification of associations with asthma attacks is necessary to improve …