Results 111 to 120 of about 13,208 (247)
Journal of Oral Pathology &Medicine, EarlyView.ABSTRACT Background/Aims Risk prediction models (RPMs) based on histopathological analysis of oral epithelial dysplasia (OED) are increasingly used to stratify patients with oral potentially malignant disorders (OPMDs) and support personalized management.
Diele Carine Barreto Arantes +4 more
wiley +1 more source
Transformer‐Based Contextual Modeling for Predicting Calories From Recipes
Applied AI Letters, Volume 7, Issue 3, October 2026.A transformer‐based regression model with token‐level attention pooling is proposed for predicting calorie content directly from unstructured recipe text. By fine‐tuning RoBERTa in an end‐to‐end manner, attention is learned to be focused on calorie‐relevant tokens such as ingredients, fats, and cooking methods.
Md. Siam Ansary, Amina Brinto
wiley +1 more source
Impact of lightGBM hyperparameters on class imbalance
Class imbalance is a common problem in Machine Learning (ML) that introduces bias during the training phase of ML models, compromising their accuracy and reliability. This problem is particularly critical in fields such as disease diagnosis and credit risk assessment, where it is crucial to accurately predict the minority class.
openaire +2 more sources
Journal of Computational Chemistry, Volume 47, Issue 23, September 5, 2026.Thermodynamic quantities in the hydrated state are essential for understanding hydrothermal biomass decomposition. A general computational framework for evaluating accurate standard‐state solution‐phase thermodynamics of biomass compounds was developed.
Mikito Fujinami +4 more
wiley +1 more source
Carbon and Hydrogen, Volume 28, Issue 3, Page 304-319, September 2026.Artificial intelligence tools are reshaping carbon nanotube research by connecting synthesis, characterization, and application‐oriented design. This review outlines how supervised learning, deep learning, Bayesian optimization, and large language models accelerate data extraction, experiment planning, and structure–property discovery for carbon ...
Yanlong Zhao +6 more
wiley +1 more source
Intrusion Detection Model of Internet of Things Based on LightGBM
IEICE Transactions on Communications, 2021 ZHAO, Guosheng, WANG, Yang, WANG, Jian
openaire +1 more source
Cochrane Evidence Synthesis and Methods, Volume 4, Issue 5, September 2026.ABSTRACT Introduction Artificial intelligence (AI) is a branch of technology enabling machines to emulate complex human skills; it can also entail problem‐solving using bioinspired methods. It is used for automating systematic literature reviews (SLR), that is, defining a clinical question, locating relevant literature, preliminary screening, study ...
Ana M. Barragán +5 more
wiley +1 more source
Building a Product Recommendation Engine with LightGBM
Personalised product recommendation has emerged as a foundational capability for modern e-commerce and digital content platforms, providing a direct pathway to increasing revenue, enhancing user satisfaction, and strengthening long-term customer loyalty.
openaire +1 more source
Global Change Biology Communications, Volume 1, Issue 3, September 2026.Integrating edaphic properties in species distribution models reveals that climate‐driven projections may overpredict suitable habitat and range shifts of forest species. Soil heterogeneity reduces suitable habitats, suggesting more conservative responses to future warming for many species across elevational gradients.
Francesco Rota +5 more
wiley +1 more source
A Refined Rotation Forest-Based Ensemble Classifier for Lithological Mapping with ZY1-02D Hyperspectral Remote Sensing Imagery. [PDF]
Sensors (Basel)Xi J +5 more
europepmc +1 more source