Results 61 to 70 of about 85,074 (191)

Quantitative color fundus photography parameters as potential biomarkers of axial length progression: evidence from a machine learning cohort study

open access: yesFrontiers in Cell and Developmental Biology
PurposeEarly identification of children at risk for accelerated axial elongation is essential for implementing timely myopia control strategies. Quantitative parameters derived from color fundus photography (CFP) may capture subtle structural and ...
Zixun Wang   +9 more
doaj   +1 more source

Liquid propellant sloshing in mobile tanks of arbitrary shape [PDF]

open access: yes
Equations for dynamic behavior of liquid propellants sloshing in mobile tanks of arbitrary ...
Lomen, D. O.
core   +1 more source

Traditional architectural styles in Northwest Henan: a machine learning analysis of influencing factors

open access: yesJournal of Asian Architecture and Building Engineering
As a significant component of traditional Chinese architectural culture, the architectural styles of northwest Henan embody profound historical, cultural, and artistic values.
Tianxi Lu   +2 more
doaj   +1 more source

Predicting the operational carbon emissions of urban community service units by using a two-stage explainable machine learning method: a case study in Nanjing, China

open access: yesJournal of Asian Architecture and Building Engineering
Low-carbon community development is fundamental to urban sustainability. With accelerating urbanization, the growing demand for community services which occur in non-residential units (e.g.
Jiashu Zhang   +5 more
doaj   +1 more source

Estimating the water quality index based on interpretable machine learning models

open access: yesWater Science and Technology
The water quality index (WQI) is an important tool for evaluating the water quality status of lakes. In this study, we used the WQI to evaluate the spatial water quality characteristics of Dianchi Lake. However, the WQI calculation is time-consuming, and
Shiwei Yang   +4 more
doaj   +1 more source

Linear, efficient and symmetric values for TU-games [PDF]

open access: yes
In this paper, we study values for TU-games which satisfy three classical properties: Linearity, efficiency and symmetry. We give the general analytical form of these values and their relation with the Shapley value and the Egalitarian value.
CĂ©lestin Chameni Nembua   +1 more
core  

An interpretable machine learning model for predicting forest fire danger based on Bayesian optimization

open access: yesEmergency Management Science and Technology
As global warming increases forest fire frequency, early prevention and effective management become crucial. This requires models that are both accurate and easily understood.
Zhiyang Liu   +3 more
doaj   +1 more source

Explainable AI for Unraveling the Significance of Visual Cues in High Stakes Deception Detection

open access: yesIEEE Access
Deception, a widespread aspect of human behavior, has significant implications in fields like law enforcement, security, judicial proceedings, and social areas.
Suhaib Salah   +9 more
doaj   +1 more source

Elderly travel mode choice in Thailand-evaluating MNL and machine learning models

open access: yesFrontiers in Built Environment
This investigation analyzes the determinants of transportation mode selection among elderly populations in Thailand through a comparative approach utilizing both traditional statistical modeling and contemporary machine learning techniques.
Anantaya Philuek   +7 more
doaj   +1 more source

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