Results 141 to 150 of about 138,100 (224)
Deep Learning Methods in Soft Robotics: Architectures and Applications
Advanced Intelligent Systems, EarlyView.Soft robotics has seen intense research over the past two decades and offers a promising approach for future robotic applications. However, standard industrial methods may be challenging to apply to soft robots. Recent advances in deep learning provide powerful tools to analyze and design complex soft machines that can operate in unstructured ...
Tomáš Čakurda +3 more
wiley +1 more source
Early detection of risk of reading difficulties using a working memory assessment battery
British Educational Research Journal, Volume 48, Issue 6, Page 1183-1197, December 2022., 2022 Abstract Research suggests a role for aspects of the working memory system in reading. While much of the evidence points to a role for working memory capacity and the phonological loop, more recent work indicates a role for the central executive component, although findings remain unclear.
Susan J. Atkinson, Colin R. Martin
wiley +1 more source
SGOR: Outlier Removal by Leveraging Semantic and Geometric Information for Robust Point Cloud Registration [PDF]
arXivIn this paper, we introduce a new outlier removal method that fully leverages geometric and semantic information, to achieve robust registration. Current semantic-based registration methods only use semantics for point-to-point or instance semantic correspondence generation, which has two problems.
arxiv
Machine Learning‐Assisted Simulations and Predictions for Battery Interfaces
Advanced Intelligent Systems, EarlyView.This review summarizes machine learning (ML)‐assisted simulations and predictions at battery interfaces. It highlights how employing ML algorithms with machine vision, enables the lithium dendrite growth simulation, the solid–electrolyte interphase formation, and other interfacial dynamics.
Zhaojun Sun +4 more
wiley +1 more source
The Era of Semantic Decoding [PDF]
arXivRecent work demonstrated great promise in the idea of orchestrating collaborations between LLMs, human input, and various tools to address the inherent limitations of LLMs. We propose a novel perspective called semantic decoding, which frames these collaborative processes as optimization procedures in semantic space. Specifically, we conceptualize LLMs
arxiv
Some of the features of mastering word semantics while learning the second language
, 1966 A. Jacikevičius
openalex +2 more sources
Semantics and Syntax in Complementation [PDF]
, 1978 Edith A. Moravcsik, Peter Menzel
openalex +1 more source
Advanced Intelligent Systems, EarlyView.This study develops a deep learning‐based pipeline named π‐PhenoDrug for cell phenotype‐driven drug activity screening. π‐PhenoDrug integrates cell segmentation, morphological profile construction, and phenotype analysis modules, and it can assess drug effects on living cells in both supervised and unsupervised modes.
Xiao Li +7 more
wiley +1 more source
Phenobot: An Autodigital Modeling System for in situ Phenotyping in Horticulture
Advanced Intelligent Systems, EarlyView.This study introduces a robotic phenotyping system for precision agriculture, integrating environmental understanding, motion planning, and in situ plant phenotyping. The system autonomously navigates through real‐world agricultural environments, collects high‐quality plant data, and reconstructs accurate 3D plant models. Results demonstrate the system'
Kewei Hu +5 more
wiley +1 more source