Results 91 to 100 of about 2,534 (254)
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
Advanced Robotics Research, EarlyView.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
MathematicsDespite its widespread use for mitigating multicollinearity in count data models, Poisson ridge regression (PRR) remains methodologically constrained by the choice of the ridge parameter k.
Selman Mermi
doaj +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
Advanced Science, EarlyView.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
A Context-Theoretic Framework for Compositionality in Distributional Semantics
Computational Linguistics, 2021 Daoud Clarke
doaj +1 more source
Advanced Science, EarlyView.PhosSight is a unified deep‐learning framework for phosphoproteome identification, featured by a phosphorylation‐aware detectability predictor. It improves identification sensitivity in DDA through deep re‐localization and rescoring, accelerates DIA searches by detectability‐guided spectral library pruning, and expands phosphoproteome coverage to ...
Ben Wang +10 more
wiley +1 more source
Distributional Memory: A General Framework for Corpus-Based Semantics
Computational Linguistics, 2021 Marco Baroni, Alessandro Lenci
doaj +1 more source
stMixer for Scalable Mosaic Integration and Label Transfer in Spatial Histology and Multi‐Omics
Advanced Science, EarlyView.stMixer is an unsupervised framework for scalable integration and label transfer across spatial histology and multi‐slide multi‐omics data with incomplete modality overlap. It combines self‐looped cross‐attention, multimodal metric learning, and graph‐guided cluster voting to align heterogeneous sections, correct batch effects, and propagate ...
Qixing Yang +3 more
wiley +1 more source
Formal Distributional Semantics: Introduction to the Special Issue
Computational Linguistics, 2021 Gemma Boleda, Aurélie Herbelot
doaj +1 more source
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
Advanced Science, EarlyView.A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
Multimodal Distributional Semantics.
, 2013 Although being one very simple statement, the distributional hypothesis - namely, words that occur in similar contexts are semantically similar - has been granted the role of main assumption in many computational linguistic techniques. This is mostly due to the fact that it allows to easily and automatically construct a representation of word meaning ...
openaire +1 more source