Results 111 to 120 of about 95,729 (269)
Advanced Intelligent Discovery, EarlyView.This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
Time Series Forecasting of MSCI Indices With Machine Learning
Düzce Üniversitesi Bilim ve Teknoloji DergisiMachine learning has become an increasingly important tool for understanding the dynamic nature of financial markets and predicting future price movements.
Mehmet Ali Cengiz, Diler Türkoğlu
doaj +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Integrating Feature Selection and Machine Learning Boosting for Accurate Breast Cancer Prediction
Proceedings of the International Conference on Applied Innovations in ITBreast cancer is a prevalent and devastating disease and remains a major contributor to cancer-related mortality among women worldwide. The increasing incidence and fatality rates are often associated with changes in lifestyle and the influence of ...
Wisal Hashim Abdulsalam +2 more
doaj +1 more source
Further Detail Concerning the Deep Learning Model for Mortality After Total Gastrectomy
Annals of Gastroenterological Surgery, EarlyView.
Kentaro Goto +4 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary +1 more
wiley +1 more source
Shanghai Jiaotong Daxue xuebao. Yixue banObjective·Patients with acute myocardial infarction (AMI) undergoing percutaneous coronary intervention (PCI) are at risk of severe complications, such as hypotension and malignant arrhythmias, which directly affect procedural success and patient ...
RUAN Qingqing +5 more
doaj +1 more source
Stroke Prediction Using XGboost and a Fusion of XGboost with Random Forest
INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTAbstract - Stroke is a life-threatening medical condition caused by disrupted blood flow to the brain, representing a major global health concern with significant health and economic consequences. Researchers are working to tackle this challenge by developing automated stroke prediction algorithms, which can enable timely interventions and potentially ...
openaire +1 more source
AS‐pHopt: An Optimal pH Prediction Model Enhanced by Active Site of Enzymes
Advanced Intelligent Discovery, EarlyView.To address the low accuracy of enzyme optimal pH (pHopt) prediction, this study develops active site‐based pHopt (AS‐pHopt), a prediction model enhanced by active site information and pseudo‐label prediction. Integrating key structural and physicochemical features affecting enzyme pHopt, AS‐pHopt uses Evolutionary Scale Modeling (ESM)‐2 with active ...
Wenxiang Song +6 more
wiley +1 more source
A STUDY ON MACHINE LEARNING-BASED APPROACHES FOR EARLY DETECTION OF PARKINSON’S DISEASE
Tạp chí Khoa họcParkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by the gradual loss of dopaminergic neurons in the brain, leading to both motor and non-motor symptoms.
Tran Thi Huong
doaj +1 more source