Results 141 to 150 of about 85,695 (269)
Risk Management and Healthcare PolicyJiaxin Zan,1,2 Xiaojing Dong,1,2 Hong Yang,1,2 Jingjing Yan,1,2 Zixuan He,3 Jing Tian,3 Yanbo Zhang1,2,4 1Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, People’s Republic of China; 2Shanxi Provincial Key ...
Zan J +6 more
doaj
Data‐Driven Review and Machine Learning Prediction of Diamond Vacancy Center Synthesis
Advanced Intelligent Systems, EarlyView.A machine learning framework is applied to photoluminescence spectra to extract linewidths and uncover how NV, SiV, GeV, and SnV centers evolve with growth and processing conditions. Unified normalization and k‐fold validation reveal cross‐method trends and enable rapid prediction of defect size and fabrication parameters, offering a data‐driven route ...
Zhi Jiang +3 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
International Journal of Management and EconomicsThe study aims to establish patterns of relations between the profitability of the European Union (EU) banking sectors between 2007 and 2021 and sets of variables appropriate for clusters of countries into which the 27 countries of the EU are divided ...
Bernardelli Michał +2 more
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Advanced Intelligent Systems, EarlyView.A statistical and machine learning‐assisted surface‐enhanced Raman scattering (SERS) framework is developed for label‐free quantification of low‐abundance analytes, including proteins. Combining digital SERS event counting with binomial regression and an artificial neural network (ANN) trained on full spectra, the approach achieves picomolar detection ...
Eni Kume, James Rice
wiley +1 more source
Journal of Asian Architecture and Building EngineeringThis paper reports a study on the flexural performance of prestressed high strength steel reinforced concrete (PHSSRC) beams and proposes machine learning (ML) models for predicting the flexural bearing capacity of steel reinforced concrete (SRC) beams ...
Zhibo Bao, Jun Wang, Yurong Jiao
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Supervised clustering with SHAP values
, 2023 Mestrado Bolonha em Data Analytics for ...
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Chronological Diagnostic Algorithm Predicting Neuropathology in Parkinsonism
Annals of Neurology, EarlyView.Objective Pre‐mortem diagnosis of parkinsonism is often challenging due to atypical presentations, overlapping syndromes, and co‐pathologies. This study aimed to develop a machine learning‐based algorithm predicting neuropathology in parkinsonism using chronological clinical presentations, which has previously been underexplored.
Daisuke Ono +5 more
wiley +1 more source
Precision medicine aims to tailor healthcare strategies to individual differences in genetic, clinical, and environmental factors. However, identifying subgroup-specific causal relationships in complex biomedical data remains a major challenge, especially when standard causal inference methods ...
Sriram, Aditya +3 more
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OPTIMASI BANDWITH MENGGUNAKAN TRAFFIC SHAPPING
Jurnal Informatika, 2010 Perkembangan layanan komunikasi telah berkembang sangat pesat. Salah satunya adalah pemanfaatan penggunaan bandwith untuk mengakases jaringan Internet. Traffic shapping bandwidth dapat memberikan efesiensi dalam hal pemanfaatan bandwidth pada instansi yang melakukan manajemen dalam lalulintas jaringannya.
openaire +2 more sources