Results 41 to 50 of about 85,074 (191)
Explainable AI-driven intelligent system for precision forecasting in cardiovascular disease
Frontiers in MedicineIntroductionCardiovascular diseases (CVDs) are complex and affect a large part of the world’s population; early accurate and timely prediction is also complicated.
Anas Bilal +5 more
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Using Optically Stimulated Luminescence to Unravel Sedimentary Processes of the Usumacinta and Grijalva Rivers (SE Mexico) [PDF]
, 2012 This report provides an optically stimulated luminescence (OSL) chronology for sediment collected through terrace deposits of the Usumacinta and Grijalva rivers in SE Mexico.
Kinnaird, T.K. +2 more
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NATIONAL STATUSES GRANTED FOR PROTECTION REASONS IN IRELAND. Equality ESRI RESEARCH SERIES NUMBER 96 January 2020 [PDF]
, 2020 This study examines the national statuses that may be granted for protection reasons in Ireland. The report focuses on national statuses with a sole basis in Irish domestic law and policy and does not examine in detail EU-harmonised statuses.
Brazil, Patricia, Groarke, Sarah
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Personal bankruptcy prediction using machine learning techniques
Economics and Business ReviewIt has become crucial to have an early prediction model that provides accurate assurance for users about the financial situation of consumers. Recent studies have focused on predicting corporate bankruptcies and credit defaults, not personal bankruptcies.
Brygała Magdalena, Korol Tomasz
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Luminescence Dating of Beach Dunes and Fluvial Sediments, Nayarit, Mexico [PDF]
, 2018 The Pacific coast of the state of Nayarit, Mexico, is dominated by extensive sand dune systems and lagoons. 16 samples from three transects through dunes near the town of Santa Cruz were collected to establish ages of the beach dune ridges and establish ...
Castillo, M. +3 more
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Dianxin kexue在电信行业中，客户流失的准确预测对于相关企业维持市场竞争力和增加收益至关重要。为此提出一个结合CatBoost算法和SHAP（shapley additive explanations）模型的客户流失预测框架，旨在提高预测的准确性，同时增强模型的可解释性。利用新疆某通信公司的实际营业数据，通过数据预处理及特征工程，构建预测模型，选取5种主要关键性能指标评估模型性能。实验结果显示，所提出模型在选取的评价指标上均优于当前主流机器学习预测模型。最后引入SHAP框架增强模型可解释性，揭示影响客户流失的关键因素 ...
王圣节, 张庆红
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OSL Characterisation of Two Fluvial Sequences of the River Usmacinta in its Middle Catchment (SE Mexico) [PDF]
, 2014 The report summarizes luminescence profiling, initially using a SUERC PPSL system in Mexico, and laboratory analysis at SUERC, used to characterise the stratigraphy and interpret sedimentary processes in terrace deposits of the Usumacinta River, SE ...
Castillo Rodriguez, Miguel +4 more
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Soil temperature prediction based on explainable artificial intelligence and LSTM
Frontiers in Environmental ScienceSoil temperature is a key parameter in many disciplines, and its research has important practical significance. In recent years, the prediction of soil temperature by deep learning has achieved good results.
Qingtian Geng, Leilei Wang, Qingliang Li
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AIMS BioengineeringThe liver is a vital gland responsible for various essential functions such as digestion, metabolism, detoxification, and immunity. Liver diseases caused by infections, injuries, or genetic factors are dangerous and require prompt diagnosis and treatment
Sumaiya Noor +2 more
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