Results 71 to 80 of about 447 (169)

Integrative Mendelian Randomization and Transcriptome Analysis Unveil Dual Pathways in Prostate Cancer Etiology

International Journal of Clinical Practice, Volume 2025, Issue 1, 2025.
Background: Prostate cancer remains a significant global health challenge, influenced by both genetic and environmental factors. Despite extensive research, the specific metabolic pathways contributing to its pathogenesis are not fully understood. Methods: We obtained significant single nucleotide polymorphisms (SNPs) associated with 1400 metabolites ...
Dongdong Wang, Mingwei Zhan, Pengfei Liu, Yi Yu, Rijian Guan, Dawei Cui   +5 more
wiley   +1 more source

Quantifying Uncertainty in ML‐Derived Atmosphere Remote Sensing: Hourly Surface NO2 Estimation With GEMS

Geophysical Research Letters, Volume 51, Issue 18, 28 September 2024.
Abstract Accurate estimation of nitrogen dioxide (NO2) levels at high spatio‐temporal resolution is crucial for atmospheric research and public health assessments. This study introduces a novel machine learning (ML) framework enhanced with uncertainty quantification (UQ) to predict hourly NO2 concentrations over East Asia.
Qin He, Kai Qin, Jason Blake Cohen, Ding Li, Jhoon Kim   +4 more
wiley   +1 more source

Probabilistic machine learning for enhanced chiller sequencing: A risk-based control strategy

Energy and Built Environment
Multiple-chiller systems are widely adopted in large buildings due to their high flexibility and efficiency in providing cooling capacity. A reliable and robust chiller sequencing control strategy is crucial to ensure the energy efficiency and stability ...
Zhe Chen, Jing Zhang, Fu Xiao, Henrik Madsen, Kan Xu   +4 more
doaj   +1 more source

Ethical Considerations in AI-driven Dynamic Pricing in the USA: Balancing Profit Maximization with Consumer Fairness and Transparency

Organizations in the USA are progressively employing AI-driven dynamic pricing as a strategic intervention to flexibly modify their prices based on competition, market demand, and various other factors.
Md Rokibul Hasan, Nisha Gurung, Anik Mitra, Md Sumon Gazi   +3 more
core   +1 more source

Research on the Enhancing Effect of Artificial Intelligence and Machine Learning on the Productivity of Remote Workers [PDF]

The rise of remote work has highlighted the need for tools and technologies that can enhance employee productivity outside of the traditional office setting.
Chen , Si
core   +1 more source

Physics-informed NGBoost for probabilistic prediction of radionuclide effective diffusion coefficients in compacted bentonite

Journal of Physics: Conference Series
Abstract Accurate prediction of the effective diffusion coefficient (De) in compacted bentonite is crucial for assessing the long-term safety of high-level radioactive waste repositories. Current machine learning methods typically provide deterministic point estimates, which fail to capture the inherent geological
Jinjie Zhao, Xinrui Luan
openaire   +1 more source

ESG stock markets and clean energy prices prediction: Insights from advanced machine learning [PDF]

In the post-Paris agreement, the clean energy market has grown significantly due to its undeniable environmental sustainability. Therefore, this study aims to predict clean energy stock prices by analyzing ESG stock markets in ten countries using a ...
Souissi, Bilel, Ghallabi, Fahmi, Ali, Shoaib, Du, Anna Min   +3 more
core   +1 more source

Optimized machine learning models for accurate prediction of the discharge coefficient in hydraulic weirs

Journal of Hydrology and Hydromechanics
Despite the growing reliance on machine learning (ML) models in hydraulic applications, it remains essential to compare both optimized and non-optimized models (regardless of their novelty) to identify the most accurate and reliable predictor.
Belaabed Faris, Arabet Leila, Goudjil Kamel, Ouamane Ahmed   +3 more
doaj   +1 more source

Developing an efficient explainable artificial intelligence approach for accurate reverse osmosis desalination plant performance prediction: application of SHAP analysis

Engineering Applications of Computational Fluid Mechanics
In recent decades, securing drinkable water sources has become a pressing concern for populations in various regions worldwide. Therefore, to address the growing need for potable water, contemporary water purification technologies can be employed to ...
Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram, Sungwon Kim, Kaywan Othman Ahmed, Salim Heddam   +5 more
doaj   +1 more source

Comparative Assessment of Machine Learning Algorithms for Wildfire Susceptibility Mapping in South Wales, Australia [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Wildfire susceptibility mapping is an essential tool for proactive fire management in regions prone to wildfires. This study aims to determine areas of South Wales, Australia, that are susceptible to wildfires using a comprehensive set of environmental ...
A. Rostami, P. Pahlavani, O. Ghorbanzadeh   +2 more
doaj   +1 more source