Comprehensive review of different artificial intelligence-based methods for credit risk assessment in data science

V Amarnadh, NR Moparthi - Intelligent Decision …, 2023 - journals.sagepub.com
Credit risk is the critical problem faced by banking and financial sectors when the borrower
fails to complete their commitments to pay back. The factors that could increase credit risk …

K-means and alternative clustering methods in modern power systems

SM Miraftabzadeh, CG Colombo, M Longo… - Ieee …, 2023 - ieeexplore.ieee.org
As power systems evolve by integrating renewable energy sources, distributed generation,
and electric vehicles, the complexity of managing these systems increases. With the …

Semaglutide and Tirzepatide reduce alcohol consumption in individuals with obesity

F Quddos, Z Hubshman, A Tegge, D Sane, E Marti… - Scientific Reports, 2023 - nature.com
Abstract Alcohol Use Disorder (AUD) contributes significantly to global mortality. GLP-1
(Glucagon-like peptide-1) and GLP-1/GIP (Glucose-dependent Insulinotropic Polypeptide) …

Overcoming the limits of cross-sensitivity: pattern recognition methods for chemiresistive gas sensor array

H Mei, J Peng, T Wang, T Zhou, H Zhao, T Zhang… - Nano-micro letters, 2024 - Springer
As information acquisition terminals for artificial olfaction, chemiresistive gas sensors are
often troubled by their cross-sensitivity, and reducing their cross-response to ambient gases …

Multi-objective distributed generation hierarchical optimal planning in distribution network: Improved beluga whale optimization algorithm

LL Li, XD Fan, KJ Wu, K Sethanan, ML Tseng - Expert Systems with …, 2024 - Elsevier
This study constructs a distributed generation (DG) multi-objective hierarchical optimal
planning model. A solution method is proposed based on an improved beluga whale …

[HTML][HTML] Advances in Artificial Intelligence (AI)-assisted approaches in drug screening

S Singh, H Gupta, P Sharma, S Sahi - Artificial Intelligence Chemistry, 2024 - Elsevier
Artificial intelligence (AI) is revolutionizing the current process of drug design and
development, addressing the challenges encountered in its various stages. By utilizing AI …

[PDF][PDF] Convolution-Transformer for Image Feature Extraction.

L Yin, L Wang, S Lu, R Wang, Y Yang… - … in Engineering & …, 2024 - researchgate.net
This study addresses the limitations of Transformer models in image feature extraction,
particularly their lack of inductive bias for visual structures. Compared to Convolutional …

Environmental and economic clustering of indonesian provinces: insights from K-Means analysis

TR Noviandy, I Hardi, Z Zahriah… - Leuser Journal of …, 2024 - heca-analitika.com
Indonesia's archipelago presents a distinctive opportunity for targeted sustainable
development due to its complex interplay of economic advancement and environmental …

[HTML][HTML] Exploring collaborative decision-making: A quasi-experimental study of human and Generative AI interaction

X Hao, E Demir, D Eyers - Technology in Society, 2024 - Elsevier
This paper explores the effects of integrating Generative Artificial Intelligence (GAI) into
decision-making processes within organizations, employing a quasi-experimental pretest …