Results 171 to 180 of about 112,863 (285)

The Rise of Human–Computer Integration in Marketing: A Theory Synthesis

open access: yesPsychology &Marketing, Volume 43, Issue 6, Page 1343-1380, June 2026.
ABSTRACT Human–computer integration (HCInt) technologies, which merge human bodily, cognitive, and sensory functions with computational processes, are reshaping the foundations of consumer experience. Unlike traditional human–computer interaction, HCInt entails adaptive and reciprocal coupling through AI‐driven augmentation, wearables, muscle–computer ...
Carlos Velasco   +5 more
wiley   +1 more source

An Overview of Artificial Intelligence and Machine Learning Approaches for Building Energy Analysis, Characterization, Control, and Grid Support Services Provision

open access: yesWIREs Energy and Environment, Volume 15, Issue 2, June 2026.
Artificial Intelligence and Machine Learning Approaches used in Building Energy Analysis, Control, and Provision of Grid Support Services. ABSTRACT Increasing penetrations of variable renewable energy sources like wind and solar photovoltaic (PV) systems are challenging power system stability worldwide.
Jack S. Bryant   +11 more
wiley   +1 more source

Text Mining in Bibliometrics and Science Mapping: A Methodological Review

open access: yesWIREs Computational Statistics, Volume 18, Issue 2, June 2026.
Text mining has become a foundational component of contemporary bibliometrics and science mapping, enabling systematic analysis of the semantic structure, thematic evolution, and cognitive organization of scientific fields. Integrating textual evidence with relational indicators enriches knowledge maps and supports more comprehensive, content‐sensitive
Michelangelo Misuraca
wiley   +1 more source

Fairness at Risk: Where Bias Emerges in Machine Learning

open access: yesExpert Systems, Volume 43, Issue 6, June 2026.
ABSTRACT Artificial intelligence and machine learning (ML) now shape decisions in healthcare, finance and security, but they can reproduce historical prejudice and inequality. Bias in training data and in model implementation can amplify harm, especially for racial and gender minorities.
Otavio de Paula Albuquerque   +2 more
wiley   +1 more source

Predictive Modelling of Service Building and Users Mobility Related Energy Consumption Through Machine Learning and Graph Based Analysis

open access: yesExpert Systems, Volume 43, Issue 6, June 2026.
ABSTRACT Accurately assessing the energy consumption associated with public buildings and the services they provide is essential for supporting sustainable infrastructure planning. This work presents an integrated modelling framework that combines machine learning prediction of building energy use with a graph based representation of user mobility ...
Valerio Bellandi   +6 more
wiley   +1 more source

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