Results 141 to 150 of about 91,735 (266)
Turning Slowly Predicts Future Diagnosis of Parkinson's Disease: A Decade‐Long Longitudinal Analysis
Annals of Neurology, EarlyView.Objective Wearable technology allows accurate measurement of turning while walking, with cross‐sectional studies indicating that difficulty turning presents even in preclinical phases of Parkinson's disease. The aim of our study was to quantify rate of change of turning performance in a cohort of older adults, and test whether turning decline can ...
Morad Elshehabi +9 more
wiley +1 more source
Cauchy: Jurnal Matematika Murni dan AplikasiClassifying imbalanced datasets presents significant challenges, often leading to biased model performance, particularly in multiclass classification.
Nabila Ayunda Sovia +3 more
doaj +1 more source
Annals of Neurology, EarlyView.Objective The optimal treatment for distal medium vessel occlusion (DMVO) stroke remains uncertain, and evidence comparing endovascular therapy (EVT) with medical management (MM) is limited. We aimed to develop and validate a predictive modeling tool to assess individual treatment benefit in DMVO stroke using explainable counterfactual treatment ...
Mohamed F. Doheim +14 more
wiley +1 more source
Izslēgšanas metode XGBoost algoritmam
, 2019 Dropout method, DART algorithm, XGBoost algorithm and XGBoost hyperparameters (α, λ, γ, srinkage un subsample) related to model regularization were researched. Ways of graphically depicting the effect of dropouts and XGBoost hyperparameters on the contribution of individual decion trees on the output of the model and on the overfit of the model were ...
openaire +1 more source
The Anatomical Record, EarlyView.Comparative histological and semi‐automated image analysis of primate lips: Masson's trichrome‐stained sagittal sections were segmented to quantify the connective tissue, adipose, and muscular components, enabling interspecific comparisons of labial architecture.
Liat Rotenstreich +5 more
wiley +1 more source
Genomic Structural Variations Provide Insights Into Litter Size and Teat Number Traits in Hu Sheep
Animal Research and One Health, EarlyView.Here, we conducted whole genome sequencing on 300 Hu sheep with an average depth of 16.51X. Two candidate genes associated with litter size and teat number traits were identified, namely MAST2 and AFDN. ABSTRACT Litter size and the teat number are important economic indicators in sheep production.
Xin Xiang +3 more
wiley +1 more source
Using Xgboost Models for Daily Rainfall Prediction
Anales de Geografía de la Universidad ComplutenseMachine learning models for predicting daily precipitation have gained traction in recent years. Understanding the benefits of using this technology in different regions is a relevant research topic. For this reason, this study aims to evaluate daily precipitation estimated forecasts from climate data between 1983 and 2019 in Itirapina, São Paulo ...
Rafael Grecco Sanches +6 more
openaire +1 more source
Physically Based Predictive Modelling of Archaeological Proxies Using Cropmarks
Archaeological Prospection, EarlyView.ABSTRACT Cropmarks, as archaeological proxies, offer a valuable means of detecting buried sites through remote sensing. Yet, the scalability of such methods across varied archaeological contexts remains underexplored, and AI‐based modelling approaches are still in early stages.
Elias Gravanis, Athos Agapiou
wiley +1 more source
Biofuels, Bioproducts and Biorefining, EarlyView.Abstract Biomass gasification technology has been extensively researched around the world; however, there is a need to evaluate the current research landscape and evolutionary direction of research in the broader context of energy transition. A systematic bibliometric analysis of the Web of Science database was performed for articles that fall within ...
Olasunkanmi Opeoluwa Adeoye +5 more
wiley +1 more source
Zhendong Ceshi yu Zhenduan针对声音信号分析在诊断带式输送机托辊故障中的高维特征存在信息冗余、计算量大和诊断效果不理想等问题，笔者构建了声音信号特征精简策略，基于Circle混沌映射、Levy飞行策略和正弦因子改进了霜冰优化算法（rime optimization algorithm，简称RIME），记作CLSRIME。再结合极致梯度提升模型（extreme gradient boosting，简称XGBOOST），构建了CLSRIME‑XGBOOST带式输送机托辊轴承故障诊断方法。首先，利用梅尔倒谱系数（Mel⁃scale ...
doaj +1 more source