[HTML][HTML] Ethics and responsible AI deployment

P Radanliev, O Santos, A Brandon-Jones… - Frontiers in Artificial …, 2024 - frontiersin.org
As Artificial Intelligence (AI) becomes more prevalent, protecting personal privacy is a critical
ethical issue that must be addressed. This article explores the need for ethical AI systems …

Ionic liquid binary mixtures: Machine learning‐assisted modeling, solvent tailoring, process design, and optimization

Y Chen, S Ma, Y Lei, X Liang, X Liu… - AIChE …, 2024 - Wiley Online Library
This work conducts a comprehensive modeling study on the viscosity, density, heat capacity,
and surface tension of ionic liquid (IL)‐IL binary mixtures by combining the group …

[HTML][HTML] Risk Prediction Model for Chronic Kidney Disease in Thailand Using Artificial Intelligence and SHAP

MC Tsai, B Lojanapiwat, CC Chang, K Noppakun… - Diagnostics, 2023 - mdpi.com
Chronic kidney disease (CKD) is a multifactorial, complex condition that requires proper
management to slow its progression. In Thailand, 11.6 million people (17.5%) have CKD …

[HTML][HTML] Machine learning modeling for identifying predictors of unmet need for family planning among married/in-union women in Ethiopia: Evidence from …

SD Kebede, DN Mamo, JB Adem, BE Semagn… - PLOS Digital …, 2023 - journals.plos.org
Unmet need for contraceptives is a public health issue globally that affects maternal and
child health. Reducing unmet need reduces the risk of abortion or childbearing by …

[HTML][HTML] Advanced data analytics modeling for evidence-based data center energy management

W Khan, D De Chiara, AL Kor, M Chinnici - Physica A: Statistical Mechanics …, 2023 - Elsevier
Over the past few decades, the demand for Data Center (DC) services has significantly
increased due to the world's growing need for internet access, social networking, and data …

[HTML][HTML] AI for Automating Data Center Operations: Model Explainability in the Data Centre Context Using Shapley Additive Explanations (SHAP)

Y Gebreyesus, D Dalton, D De Chiara, M Chinnici… - Electronics, 2024 - mdpi.com
The application of Artificial Intelligence (AI) and Machine Learning (ML) models is
increasingly leveraged to automate and optimize Data Centre (DC) operations. However …

[HTML][HTML] Graph embedding approaches for social media sentiment analysis with model explanation

VS Anoop, CS Krishna, UH Govindarajan - International Journal of …, 2024 - Elsevier
ChatGPT, the revolutionary chat agent launched in November 2022, is still an active topic of
discussion among technology enthusiasts. This open-ended chatbot allows human-like …

[HTML][HTML] A meta-classification model for optimized zbot malware prediction using learning algorithms

S Jagan, A Ashish, M Mahdal, KR Isabels, J Dhanke… - Mathematics, 2023 - mdpi.com
Botnets pose a real threat to cybersecurity by facilitating criminal activities like malware
distribution, attacks involving distributed denial of service, fraud, click fraud, phishing, and …

[HTML][HTML] Machine Learning Based Method for Impedance Estimation and Unbalance Supply Voltage Detection in Induction Motors

K Laadjal, AMR Amaral, M Sahraoui, AJM Cardoso - Sensors, 2023 - mdpi.com
Induction motors (IMs) are widely used in industrial applications due to their advantages
over other motor types. However, the efficiency and lifespan of IMs can be significantly …

Unsupervised feature selection using chronological fitting with Shapley Additive explanation (SHAP) for industrial time-series anomaly detection

Q Li, Y Ji, M Zhu, X Zhu, L Sun - Applied Soft Computing, 2024 - Elsevier
With the development of the industrial Internet of Things (IIOT), an amount of industrial
multivariate time series (IMTS) data has been collected by various sensors. IMTS data …