Results 211 to 220 of about 91,735 (266)

Honey Botanical Origin Authentication Using HS-SPME-GC-MS Volatile Profiling and Advanced Machine Learning Models (Random Forest, XGBoost, and Neural Network). [PDF]

Foods
Pourmoradian A, Barzegar M, Carbonell-Barrachina ÁA, Noguera-Artiaga L.   +3 more
europepmc   +1 more source

Experimental Modal Analysis‐Driven Gaussian Process Regression Modeling of Rectangular Steel Beams With Various Hole Geometries

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Understanding the dynamic behavior of structural components is crucial for optimizing performance and ensuring structural integrity. This study presents a new method that combines a systematic experimental investigation of four distinct hole geometries (circular, square, compact rectangular, and long rectangular) with varying hole counts, all ...
Amir Hossein Rabiee, Majid Rajaei, Mohammad Hossein Mahdavi Nasab, Parsa Shafiei   +3 more
wiley   +1 more source

Identifying influencing factors associated with sleep quality in undergraduates based on partial least squares regression and XGBoost. [PDF]

Front Psychol
Xie Y, Chen Y, Han Y, Zhai S, Xiao L, Yin D, Chen Y.   +6 more
europepmc   +1 more source

Opening the Black Box of Nonprofit Reputation and Volunteer Attraction With Supervised Machine Learning

Nonprofit Management and Leadership, EarlyView.
ABSTRACT With the aim to explore the potential of machine learning for nonprofit research, this article contrasts traditional linear regression with four contemporary supervised machine learning approaches. Concretely, we predict (1) reputation ratings and (2) the total number of volunteers for 4021 non‐profit organizations in the U.S.
Moritz Schmid, Hannes Lampe, Jurgen Willems   +2 more
wiley   +1 more source

Leveraging explainable artificial intelligence and spatial analysis for communicable diseases in Asia (2000-2022) based on health, climate, and socioeconomic factors. [PDF]

Int J Health Geogr
Rahman MS, Shiddik MAB.
europepmc   +1 more source

Lions as Bone Accumulators? Exploring Multi‐Predator Contributions to the Olduvai Carnivore Site (OCS) (Tanzania) Through AI and Metric Analyses

International Journal of Osteoarchaeology, EarlyView.
ABSTRACT Lions (Panthera leo) are apex predators with a well‐documented influence on ecological dynamics, yet their potential role as bone‐accumulating agents remains poorly understood and often debated. Previous taphonomic studies have largely attributed bone accumulations in African savannah ecosystems to other carnivores, such as spotted hyenas ...
Blanca Jiménez‐García, Enrique Baquedano, Manuel Domínguez‐Rodrigo   +2 more
wiley   +1 more source

Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 540-550, March 2025.
ABSTRACT We employed a mechanistic learning approach, integrating on‐treatment tumor kinetics (TK) modeling with various machine learning (ML) models to address the challenge of predicting post‐progression survival (PPS)—the duration from the time of documented disease progression to death—and overall survival (OS) in Head and Neck Squamous Cell ...
Kevin Atsou, Anne Auperin, Jôel Guigay, Sébastien Salas, Sebastien Benzekry   +4 more
wiley   +1 more source

KG2ML: integrating knowledge graphs and positive unlabeled learning for identifying disease-associated genes. [PDF]

Front Bioinform
Kumar P, Metzger VT, Purushotham ST, Kedia P, Bologa CG, Lambert CG, Yang JJ.   +6 more
europepmc   +1 more source

Machine‐learning approaches for characterizing the raindrop size distributions in Western Pacific tropical cyclones

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Long‐term disdrometer observations are utilized to derive Z–R relationships for ‐the Western Pacific tropical cyclones. A hybrid moment‐based approach is employed to determine the interrelationships among pairs of gamma distribution parameters. Enhanced estimates of rainfall rate and slope parameter are obtained using machine‐learning techniques ...
Jayalakshmi Janapati, Balaji Kumar Seela, Spandana Vadloori, Pay‐Liam Lin, Chuan‐Chi Tu, Everette Joseph   +5 more
wiley   +1 more source

Machine-learning model for 30-day mortality in sepsis-associated delirium patients: A retrospective MIMIC-IV cohort study. [PDF]

Medicine (Baltimore)
Yin J, Pan X, Chen D, Zhang J, Jin G.
europepmc   +1 more source