Results 101 to 110 of about 72,345 (262)
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
JOIV: International Journal on Informatics VisualizationThe expanse of rice fields is a critical metric as it is intimately linked to agricultural productivity in a given locale. This study investigates the application of satellite imagery to quantify trice fields' acreage and temporal variations.
Achmad Fauzan, Anang Kurnia
doaj +1 more source
Hybrid ensemble model for lactation milk yield prediction of holstein cows [PDF]
Kafkas Universitesi Veteriner Fakültesi DergisiMachine learning (ML) algorithms are widely employed across various domains to identify patterns and relationships in large datasets, and to perform tasks such as prediction and classification.
Derviş TOPUZ, Selçuk TEKGÖZ
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
Transportation and Information Technologies in RussiaBackground. Accurate forecasting of the energy consumption of electric vehicles is a critically important task for improving the efficiency of vehicle operation and reducing drivers' anxiety about power reserve.
Vladislav V. Matviyuk
doaj +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
Leveraging Machine Learning to Predict Academic Specialization Pathways in Higher Education
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)This study developed a machine learning-based model to predict academic concentration selection among information systems students at Universitas Multimedia Nusantara (UMN).
Rendy Wirawan Tamrin, Wella
doaj +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
Football match result prediction using XGBoost algorithm
, 2023 Tema ovog rada je predikcija ishoda nogometnih utakmica uporabom XGBoost algoritma. U tu svrhu korištena je aplikacija u Jupyter Notebooku i programskom jeziku Python.
Jakelić, Berislav
core +1 more source
Advanced Intelligent Discovery, EarlyView.An explainable CatBoost model was trained to predict the bandgaps of 474 phosphate crystals based on composition and density descriptors. SHAP analysis identified two key variables—d‐electron‐count dispersion and atomic‐density dispersion—as the primary drivers of the model's predictions.
Wenhu Wang +3 more
wiley +1 more source