Results 81 to 90 of about 343,488 (306)
Semantic particularity measure for functional characterization of gene sets using gene ontology. [PDF]
BACKGROUND: Genetic and genomic data analyses are outputting large sets of genes. Functional comparison of these gene sets is a key part of the analysis, as it identifies their shared functions, and the functions that distinguish each set.
Charles Bettembourg +2 more
doaj +1 more source
ONTOLOGY BASED TECHNICAL SKILL SIMILARITY [PDF]
Online job boards have become a major platform for technical talent procurement and job search. These job portals have given rise to challenging matching and search problems.
Balachander, Yeshwanth Bashyam
core +1 more source
Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang +5 more
wiley +1 more source
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source
Incremental Construction of an Associative Network from a Corpus [PDF]
This paper presents a computational model of the incremental construction of an associative network from a corpus. It is aimed at modeling the development of the human semantic memory.
Denhière, Guy, Lemaire, Benoît
core +1 more source
Cross-modal Deep Metric Learning with Multi-task Regularization
DNN-based cross-modal retrieval has become a research hotspot, by which users can search results across various modalities like image and text. However, existing methods mainly focus on the pairwise correlation and reconstruction error of labeled data ...
Huang, Xin, Peng, Yuxin
core +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley +1 more source
Towards ontology interoperability through conceptual groundings [PDF]
. The widespread use of ontologies raises the need to resolve heterogeneities between distinct conceptualisations in order to support interoperability.
Dietze, Stefan, Domingue, John
core +2 more sources
The Interplay of Semantics and Morphology in Word Embeddings
We explore the ability of word embeddings to capture both semantic and morphological similarity, as affected by the different types of linguistic properties (surface form, lemma, morphological tag) used to compose the representation of each word.
Avraham, Oded, Goldberg, Yoav
core +1 more source

