Results 221 to 230 of about 3,566,037 (267)

Measuring Neighborhood Socioeconomic Status from Sky and Street: An Ensemble Learning Framework. [PDF]

Trans Urban Data Sci Technol
Li Y, Long Y, Suel E, Zhang Y, Robinson BE, Cavanaugh AC, Su N, Ezzati M.   +7 more
europepmc   +1 more source

From patterns to predictions: a framework for the spatial epidemiology of wildlife diseases

Ecography, EarlyView.
Wildlife diseases pose a significant threat to biodiversity conservation, public health, and livestock. Spatial epidemiology provides a robust framework to understand disease dynamics and guide policy and management. However, the rapid proliferation of spatial methods has largely occurred in isolation across disciplines, leaving the field without a ...
Cesar Herraiz, Pelayo Acevedo
wiley   +1 more source

Monthly soil temperature modelling across different depths using machine learning algorithms in northeast India. [PDF]

Sci Rep
Pradhan AK, Jhajharia D, Behura KB, Ghosh S, Touseef M, Singh LK, Devi SR, Ghosh M, Mohanty AK, Yurembam GS, Chanu TL, Gupta S, Patle GT.   +12 more
europepmc   +1 more source

Recent Progress of Metal Halide Perovskite‐Based S‐Scheme Heterojunction for Solar Energy Conversion

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Recent advances in metal halide perovskite‐based S‐scheme photocatalytic heterojunctions are systematically reviewed in this work. Synthetic protocols, state‐of‐the‐art characterizations for tracking interfacial charge transfer, and their diverse photocatalytic applications are thoroughly explored.
Xinhe Wu, Shujie Yin, Jiachao Xu, Lihong Tan, Guohong Wang   +4 more
wiley   +1 more source

In Silico Models Using Simple Molecular Descriptors Predict Placental and Breast Milk Transfer of Cannabinoids from <i>Cannabis sativa</i>. [PDF]

Int J Mol Sci
Sobańska AW, Hekner A, Maciejek K, Sobański AM.   +3 more
europepmc   +1 more source

Artificial Intelligence in Ophthalmology: From Methodological Advances to Clinical Translation and Future Directions

Eye &ENT Research, EarlyView.
ABSTRACT Artificial intelligence (AI) is reshaping ophthalmology from task‐specific image analysis toward multimodal, longitudinal, and clinically integrated decision support. This narrative review summarizes the methodological evolution of ophthalmic AI, including traditional machine learning, task‐specific deep learning, self‐supervised learning ...
Yuxin Liu, Hanruo Liu
wiley   +1 more source

Predicting women's intention to use contraceptives in East Africa: a machine learning analysis of predictors. [PDF]

BMC Womens Health
Birlie AA, Desta TW, Eticha BL, Kabtyimer AM, Kassaw AB, Jemil HW, Bedada TD.   +6 more
europepmc   +1 more source

Machine learning‐based prediction of elevated N terminal pro brain natriuretic peptide among US general population

ESC Heart Failure, Volume 12, Issue 2, Page 859-868, April 2025.
Abstract Aims Natriuretic peptide‐based pre‐heart failure screening has been proposed in recent guidelines. However, an effective strategy to identify screening targets from the general population, more than half of which are at risk for heart failure or pre‐heart failure, has not been well established.
Yuichiro Mori, Shingo Fukuma, Kyohei Yamaji, Atsushi Mizuno, Naoki Kondo, Kosuke Inoue   +5 more
wiley   +1 more source

Accurate surgery time prediction (ASTP) strategy based on artificial intelligence techniques. [PDF]

Sci Rep
El-Balka RM, Rabie AH, Saleh AI, Sakr N.
europepmc   +1 more source

Application of Machine Learning Approaches in Electrophoresis—A Comprehensive Review

ELECTROPHORESIS, EarlyView.
This review paper highlights key research on the applications of machine learning tools in electrophoresis. ABSTRACT The electrophoretic technique is widely used to analyze and purify charged molecules based on their size, shape, and charge using an electric field for various applications, including DNA fingerprinting, genetic research, disease ...
Umaeer Al Hammad, Aminul Islam Khan, Prashanta Dutta   +2 more
wiley   +1 more source