Results 111 to 120 of about 2,763 (264)
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source
Logik är ett gammalt och kraftfullt verktyg för att föra korrekta resonemang och människor har under lång tid studerat och tillämpat olika logiska system. Dessa studier har till stor del fokuserat på logik som innefattar ett binärt sanningsbegrepp, det vill säga logik där en utsaga är antingen sann eller falsk. Givetvis är detta en väldigt begränsad vy
openaire +1 more source
Solid Harmonic Wavelet Bispectrum for Image Analysis
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source
Even in highly developed countries such as Japan, urban–rural disparities in inclusion and digitalization persist, offering lessons for other nations confronting similar divides. Diversity and inclusion in school environments appear to be associated with
Junichi Hirose
doaj +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Background: Generativity has been associated with resilience and life satisfaction in older age, including among lesbian, gay, bisexual, and transgender (LGBT+) older adults. Objective: To examine the psychometric properties of the Loyola Generativity
Tatiana Casado +4 more
doaj
Targeting Lilrb4a in Apolipoprotein E4 (APOE4)‐associated Alzheimer's disease (AD) reprograms microglia toward a beneficial, phagocytic state. Genetic deletion or antisense inhibition of Lilrb4a suppresses p‐SHP2/NF‐κB/STAT1 signaling, restores PPAR‐linked lipid and energy metabolism, and reduces amyloid plaque burden and cerebral amyloid angiopathy ...
Changxu Nie +12 more
wiley +1 more source
There appears to be a mounting consciousness in academia that knowledge production and the scholarly dissemination of knowledge do not necessarily lead to general well-being or improvement in society. In this article we start with ourselves by initiating
Kathleen Pithouse-Morgan +1 more
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