The Rise of Human–Computer Integration in Marketing: A Theory Synthesis
Psychology &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
On the recurrent neural network model with robust expectile-based loss function in economic data forecasting. [PDF]
MethodsXSaputra WH, Nariswari R, Owen M.
europepmc +1 more source
On Challenges Using Long Short‐Term Memory Networks in Data‐Driven Inelasticity
Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.ABSTRACT We present a framework that integrates long short‐term memory (LSTM) networks into a two‐dimensional data‐driven mechanics solver. We show that the staggered, double‐minimization algorithm induces solver‐generated noise, and that an LSTM trained on noise‐free stress–strain paths fails to account for these solver artifacts.
Marius Harnisch +3 more
wiley +1 more source
From prediction to sustainability: AI for smart energy management in wastewater treatment plants. [PDF]
Sci RepAlsamhi SH +8 more
europepmc +1 more source
Hybrid Data‐Driven and Physics‐Informed Learning of Cyclic Plasticity For Pipe Steel
Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.ABSTRACT An efficient and explainable machine learning (ML) approach is presented, replacing conventional material models based on the radial return mapping (RRM) algorithm for the constitutive modeling of cyclic plasticity in 3D. The application of transfer learning, based on an existing model for a separate class of steel, leads to a significant ...
Stefan Hildebrand, Sandra Klinge
wiley +1 more source
Quality and Reliability Engineering International, Volume 42, Issue 4, Page 1426-1442, June 2026.ABSTRACT Accurate state of health (SOH) estimation of Li‐ion batteries is essential for ensuring safety, reliability, and prolonging battery lifespan in energy storage systems and electric vehicles. This study proposes a hybrid temporal convolutional network (TCN)–transformer framework that effectively captures both short‐term temporal dynamics and ...
Fusen Guo +6 more
wiley +1 more source
Use of machine learning models to predict mechanical ventilation, ECMO, and mortality in COVID-19. [PDF]
Front Artif IntellMoorman N +3 more
europepmc +1 more source
WIREs 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
Explainable LSTM-AdamW based fault diagnosis of aircraft rotating components using airborne acoustic signals under dynamic operating conditions. [PDF]
Sci RepÖzüpak Y, Aslan E, Zaitsev I.
europepmc +1 more source
Large Language Models for Explainable Medical Text Summarization: A Systematic Literature Review
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.The graphical abstract highlights the three key aspects addressed in this review: the technical background of medical text summarization methods relevant to clinical decision support; the LLM background in providing context for its diagnosis and clinical significance; and clinical decision support with summarization and explainability in patient care ...
Aleka Melese Ayalew +3 more
wiley +1 more source