Results 101 to 110 of about 51,876 (192)
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
Both ends of artificial intelligence impacting privacy: a review of violation and protection. [PDF]
Voloch N, Hirschprung RS.
europepmc +1 more source
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
Advancements in Information-Theoretic Methods for Data Analytics. [PDF]
Lee K.
europepmc +1 more source
Abstract Germany's Renewable Energy Sources Act (REA), enacted in 2000 and subsequently amended, subsidized national renewable energy production with fixed feed‐in tariffs for renewable energy sources (RE) from wind, solar, and biogas. Empirical studies suggest that the policy was creating windfall effects for landowners and attribute farmland use ...
Lars Isenhardt +6 more
wiley +1 more source
Enhancing chronic disease management: hybrid graph networks and explainable AI for intelligent diagnosis. [PDF]
Aamir M, Yu YK, Choudhry N, Bhatti UA.
europepmc +1 more source
An in-depth analysis of UAV path planning, including procedures, algorithms, optimization models, and emerging challenges. [PDF]
Nafees M +4 more
europepmc +1 more source
Integrating NLP and Ensemble Learning into Next-Generation Firewalls for Robust Malware Detection in Edge Computing. [PDF]
Moila RL, Velempini M.
europepmc +1 more source
ABSTRACT This study proposes a novel integrated system (SDKC‐DORC) that combines a split‐flow dual‐pressure Kalina cycle with a secondary organic Rankine cycle for the synergistic utilization of solar energy and liquefied natural gas (LNG) cold energy.
Ke Xiao +6 more
wiley +1 more source

