Results 51 to 60 of about 18,139 (247)
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
Advanced Intelligent Discovery, EarlyView.This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Measuring the Inferential Values of Relations in Knowledge Graphs
AlgorithmsKnowledge graphs, as an important research direction in artificial intelligence, have been widely applied in many fields and tasks. The relations in knowledge graphs have explicit semantics and play a crucial role in knowledge completion and reasoning ...
Xu Zhang +3 more
doaj +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker +2 more
wiley +1 more source
Physics‐Grounded Probabilistic Bits for Hardware‐Efficient Intelligent Inference and Optimization
Advanced Intelligent Systems, EarlyView.Si–SiNx interface traps are harnessed as a complementary metal–oxide–semiconductor‐compatible source of controllable randomness for probabilistic bits. Pulse‐width‐programmed stochastic capture converts nanoscale defect dynamics into Boltzmann‐consistent binary outputs, while a physics‐based Simulation Program with Integrated Circuit Emphasis model ...
Dokyoung Lee +3 more
wiley +1 more source
GWO-FNN: Fuzzy Neural Network Optimized via Grey Wolf Optimization
MathematicsThis study introduces the GWO-FNN model, an improvement of the fuzzy neural network (FNN) architecture that aims to balance high performance with improved interpretability in artificial intelligence (AI) systems.
Paulo Vitor de Campos Souza +1 more
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Logical handling of uncertain, ontology-based, spatial information
, 2008 The paper describes a logical framework for handling uncertain spatial information, and merging it when it comes from multiple sources. For this purpose, we use a simple logical formalization for spatial ontologies and for property ontologies relative to
Prade, Henri +4 more
core +1 more source
Border harm and affective injustice: The politics of anger at the Melilla border, Spain
American Journal of Community Psychology, EarlyView.Abstract This article examines protests in a detention center in Melilla, Spain—a site where structural violence intersects with the everyday harms of confinement. Adopting a justice and dignity‐centered perspective, we analyze grassroots forms of resistance emerging at the border. The study focuses on the protests of Tunisian migrants and explores the
Corina Tulbure
wiley +1 more source
LLM-S2KG: LLM-Based Semantic–Structural Dual Knowledge Graph
Applied SciencesIn knowledge graph construction tasks, recent research often leverages Large Language Models (LLMs) to enhance the efficiency and accuracy of unstructured data processing.
Jiang Jiang, Xiangtao Jiang
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American Journal of Community Psychology, EarlyView.Abstract Firefighters face an array of stressors due to the demands of their occupation, leading to a high prevalence of mental health challenges. Social prescribing represents a novel approach to healthcare that emphasizes a holistic view of health and wellbeing.
Janice Ikeda +2 more
wiley +1 more source
Television, Rituals, Struggle for Public Memory in Serbia during 1990s
Etnoantropološki Problemi, 2008 The aim of the paper is to point to the the role of television (mainly state owned and controlled) and ritual actions, in creating and distributing messages concerning important social and political events during the 1990s. The main argument is that the
Ildiko Erdei
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