Results 231 to 240 of about 95,729 (269)

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

Improving road safety in smart cities using machine learning techniques. [PDF]

Sci Rep
Abid MS, Hussain M, Nabi S, Sehar T, Hussain D, Gu YH.   +5 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

Construction of a predictive early warning model based on machine learning neural network for prognosis of patients with traumatic brain injury. [PDF]

Front Surg
Li J, Wang H, Cao X, Sun L, Zhu C, Li H.
europepmc   +1 more source

Assimilation of solar‐induced fluorescence satellite observations in the European Centre for Medium‐Range Weather Forecasts integrated forecast system

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This work demonstrates the potential of the assimilation of satellite solar‐induced fluorescence (SIF) retrievals at eight‐day and 0.1° resolutions in the integrated forecast system (IFS), developed at the European Centre for Medium‐Range Weather Forecasts (ECMWF), at global scale, to provide a more realistic representation of the vegetation temporal ...
Sébastien Garrigues, Patricia de Rosnay, Peter Weston, Christoph Rüdiger, Cédric Bacour, David Fairbairn, Pierre Vanderbecken, Oscar Rojas‐Munoz, Ewan Pinnington, Anna Agusti‐Panareda, Souhail Boussetta, Jean‐Christophe Calvet, Richard Engelen   +12 more
wiley   +1 more source

SHAP-explained machine-learning model for high-risk gastric cancer identification. [PDF]

Front Oncol
Oh HJ, Kim CH, Jun JK, Suh M, Choi KS, Choi IJ, Park B.   +6 more
europepmc   +1 more source

Terrain Classification for Planetary Rovers Using Wireless In‐Wheel Sensor Modules and Machine Learning

Journal of Field Robotics, EarlyView.
ABSTRACT Safe and reliable mobility over different kinds of ground is important for planetary rovers on space missions. Since terrain changes might affect the mobility of the rover, energy consumption, and safety, detecting the type of ground in real‐time is vital.
Md Masrul Khan, Sultan Shaharea, Manseeb M. Mannaf, Shihab Ahemed, Fahim Islam Anik, Md Jarir Hossain, Helal An Nahiyan, Sourav Karmaker   +7 more
wiley   +1 more source

Predicting groundwater storage from seasonal managed aquifer recharge: insights from machine learning and explainable AI techniques. [PDF]

Environ Earth Sci
Fernandes VJ, de Louw PGB, Ritsema CJ, Bartholomeus RP.   +3 more
europepmc   +1 more source

Can Sustainable Development Goal Classification Tools Be Trusted? Analysing the Spanish National Research Council Output on Gender Equality

Sustainable Development, EarlyView.
ABSTRACT Evaluating research contributions to the Sustainable Development Goals (SDGs) remains challenging, particularly for SDG 5 (Gender Equality), which is cross‐cutting, thematically complex and apparently underrepresented in scientific output. This study evaluates the abilities and limitations of automated classification systems (Web of Science ...
Núria Bautista‐Puig, Daniela De Filippo, Borja González‐Albo, Fernanda Morillo   +3 more
wiley   +1 more source

Applying machine learning to predict stunting in children under 5 years old based on water, sanitation and hygiene behaviors and infrastructure. [PDF]

PLoS One
Sinharoy S, Reese H, Clasen T, Sinharoy SS.   +3 more
europepmc   +1 more source