Results 201 to 210 of about 3,566,037 (267)

Non-invasive estimation of hemoglobin using machine learning algorithms from i-PPG and PPG signals. [PDF]

Sci Rep
Kaviya Dharshini AS, Jeeva JB.
europepmc   +1 more source

Laminar Burning Velocity of Ammonia‐Hydrogen Mixtures Predicted by Machine Learning

Chemie Ingenieur Technik, EarlyView.
Ammonia–hydrogen blends aid defossilization, but slow combustion kinetics require complex modeling. Although chemical kinetic modeling is computationally expensive, machine learning surrogates offer fast predictions. This study trained GPR, DT, and ANN models on 1445 experimental points.
Georg Klepp, Aditya Sharma, Helene Dörksen   +2 more
wiley   +1 more source

Early Bird Special: Quantifying Tiger Shark Predation on Albatross Fledglings at Kure Atoll. [PDF]

Ecol Evol
Dudzik C, Chin A, McClure EC.
europepmc   +1 more source

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

The Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin, Clémence Fauteux‐Lefebvre, Jules Thibault   +2 more
wiley   +1 more source

AGENTi: APCI-ESI Analyte Ionization Fidelity Pre-Screening Workflow using Multimodel Inference. [PDF]

J Chem Inf Model
Keng M, Merz KM.
europepmc   +1 more source

Evaluating Vaginal Microbiome Effects on Antiretroviral Exposure in the Female Genital Tract Using Pharmacometric and Machine Learning Approaches

Clinical Pharmacology &Therapeutics, EarlyView.
Antiretroviral pre‐exposure prophylaxis (PrEP) is less effective in women than expected, partly because drug exposure within the female genital tract is variable and may be influenced by the vaginal microbiome. We developed an integrated pharmacometrics and machine learning framework to evaluate associations between vaginal microbiome composition and ...
Diqin Yan, Lindsey B. Collins, Christopher Staley, Flavia Kiweewa Matovu, Pamala Jacobson, Melanie Nicol, Shen Cheng   +6 more
wiley   +1 more source

Horizon-Dependent Solar Irradiance Forecasting with Boosted Trees, and Seasonal Baselines Based on Measurements in Sudan. [PDF]

Sensors (Basel)
Mohamed EIE, Akgun D, Ashri S, Khachan A, Elsheikh EAA, Aksoy Tirmikci C.   +5 more
europepmc   +1 more source

Environment Friendly Sustainable End‐Of‐Life Solutions for Plastic Components in Indian Automotive Industries

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Growing concerns about the environmental and social consequences of plastics around the world, manufacturing industries are associated with business are focusing on sustainable end‐of‐life options‐based solutions which aim at increasing the product life cycle.
Sivakumar Kirupanandan, Deepak Mathivathanan, Jayakrishna Kandasamy, Michele Mosca   +3 more
wiley   +1 more source

Contrasting Climate Change Responses of the Rare Moss Genus <i>Tetrastichium</i> (Mitt.) Cardot Across Macaronesia: Implications for Persistence and Conservation. [PDF]

Plants (Basel)
Cedrés-Perdomo RD, Santos G, Martins A, García-Alvarado JJ.   +3 more
europepmc   +1 more source

Mapping the Intellectual Structure of AI‐Driven ESG Cost Modeling: A Bibliometric Analysis of Trends, Themes, and Future Directions

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The bibliometric and qualitative analyses of 470 publications in the Web of Science Core Collection from 2004 through 2025 in this study associated the intellectual structure and thematic evolution of AI‐driven ESG cost modeling. The research commences using an integrated analytical framework consisting of three tools: (1) Bibliometrix (R) for
Nesreen Al‐Malkawi, Adriana Giret
wiley   +1 more source