Results 171 to 180 of about 6,204 (254)

Integrating geospatial intelligence and machine learning for flood susceptibility mapping. [PDF]

open access: yesSci Rep
Rahimi M   +9 more
europepmc   +1 more source

Analysis of Ruddlesden‐Popper and Dion‐Jacobson 2D Lead Halide Perovskites Through Integrated Experimental and Computational Analysis

open access: yesBattery Energy, Volume 4, Issue 2, March 2025.
Optimized ML framework for predicting RP and Dj phases in perovskite solar cells. ABSTRACT Two‐dimensional (2D) lead halide perovskites (LHPs) have captured a range of interest for the advancement of state‐of‐the‐art optoelectronic devices, highly efficient solar cells, next‐generation energy harvesting technologies owing to their hydrophobic nature ...
Basir Akbar, Kil To Chong, Hilal Tayara
wiley   +1 more source

Driving Fan Engagement: The Role of Orientation, Value Creation, and Community Dynamics in Sports Fan Pages

open access: yesJournal of Consumer Behaviour, EarlyView.
ABSTRACT Online fan communities are important peripheral arenas for sports consumption. However, the psychological and social mechanisms that sustain engagement across these digital spaces are not sufficiently understood. This study thus investigates how Orientation Toward Sporting Events (OSE) drives fan page engagement and, subsequently, satisfaction.
Hamid Shaker   +3 more
wiley   +1 more source

Feeling Right Matters: The Impact of Character Design–Appeal Match on Social Media Engagement

open access: yesJournal of Consumer Behaviour, EarlyView.
ABSTRACT In today's saturated digital environment, brands increasingly use characters to capture attention and engage consumers on social media. Yet little research has examined how brand character design interacts with advertising appeals in social media communication.
Luyao Hao, Takeshi Moriguchi
wiley   +1 more source

Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions

open access: yesCivil 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

Random forest regression for catalyst performance prediction and validation of tri‐reforming of methane (TRM)

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract Carbon dioxide‐reduced hydrogen can be synthesized through various methods such as dry‐reforming (DRM), steam reforming (SMR), and partial oxidation (POX). Tri‐reforming of methane (TRM) is a promising technology which combines all the above‐mentioned processes for the simultaneous production of hydrogen and syngas with high energy efficiency.
Paulo A. L. de Souza   +3 more
wiley   +1 more source

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