Results 191 to 200 of about 212,260 (313)
Business Strategy and the Environment, EarlyView.ABSTRACT Social media platforms today have become essential for consumer‐brand interactions, with visual content playing a pivotal role in shaping engagement and brand perception. Although text‐based user‐generated content (UGC) has been widely studied, the potential of visual UGC, particularly in the travel, tourism and hospitality (TTH) sector ...
Chinchu Abraham +2 more
wiley +1 more source
IoT-enabled hybrid Slime Mould Algorithm-Support Vector Machine model for early detection of cardiovascular diseases. [PDF]
Sci RepVenkatesan C +5 more
europepmc +1 more source
Journal of Consumer Behaviour, EarlyView.ABSTRACT Grounded in ambivalence theories, this research examined factors shaping consumer ambivalence toward AI‐generated content and investigated differences between commercial and noncommercial contexts. As a preliminary study, sentiment analysis of Reddit data using a support vector machine (SVM) revealed that most consumer sentiment toward AI ...
Garim Lee +3 more
wiley +1 more source
A systematic review of machine learning on clinical MALDI-TOF MS. [PDF]
Brief BioinformSchmidt-Santiago L +5 more
europepmc +1 more source
Chronic Diseases and Translational Medicine, EarlyView.Shared differential metabolites identified across the three sample groups. (A) Venn diagram of differential metabolites between the two comparison groups; Based on the detected levels of these overlapping differential metabolites, (B) d‐Arabitol, (C) Triclosan, (D) Iloprost, (E) Tetracosanoic acid, and (F) Omeprazole sulfone. Box plots were constructed
Mengtao Qian +4 more
wiley +1 more source
Novel method for risk stratification of radiation-induced breast fibrosis: subgroup hypothesis verified by machine learning. [PDF]
NPJ Breast CancerSami A +5 more
europepmc +1 more source
Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions
Civil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley +1 more source
Development and validation of a machine learning-based risk prediction model for non-suicidal self-injury in adolescents. [PDF]
Front PsychiatryZhao Y, Wang Q, Liu W.
europepmc +1 more source
Porous Carbon Materials for Carbon Dioxide Capture
Carbon Energy, EarlyView.This work aims to address the current status and challenges associated with the regulation of pore structures, as well as the influence of pore structures on CO2 capture. Systematic quantitative analysis of structure–property relationships, combined with machine learning approaches, can effectively evaluate the contributions of structural ...
Zhifu Liu +6 more
wiley +1 more source