Results 161 to 170 of about 241,667 (307)
This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari+6 more
wiley +1 more source
The Operational Semantics of Action Notation
Action notation is used in the action semantics fratnework, for specifying actions representing program behaviour. It is defined by a structural operational semantics together with a bisimulation-based equivalence that satisfies some simple algebraic laws.
openaire +3 more sources
A Task and Motion Planning Framework for Partially Observable Household Manipulation Scenes
This paper presents a novel TAMP framework tackling partial observability, cluttered scenes, and vague goals via symbolic reasoning and occlusion‐aware planning. It outperforms prior learning, policy, and LLM‐based methods in six real and simulated household tasks.
Yuhong Ma+3 more
wiley +1 more source
Solar tracking systems allow an increase in the use of solar energy for its conversion with photovoltaic technology due to the alignment with the sun.
Diego A. Flores-Hernández+2 more
doaj +1 more source
Intelligent Supportive System for People with Profound Intellectual and Multiple Disabilities
A holistic INSENSION system is developed—a novel intelligent decision support system leveraging state‐of‐the‐art noninvasive audio‐visual sensor technologies together with machine learning algorithms and expert knowledge, to detect and interpret behaviors and communications (nonverbal signals—NVSs) of people with PIMD in challenging real‐world ...
Gašper Slapničar+10 more
wiley +1 more source
An Action Semantics for ML Concurrency Primitives
Peter D. Mosses, Martín A. Musicante
openalex +2 more sources
The scope and limits of action semantics [PDF]
Michiel van Elk+2 more
openalex +1 more source
AKG‐VO: Adaptive Keyframe Generation Method for Improving Visual Odometry in Autonomous Vehicles
An adaptive keyframe generation method for pose estimation is proposed, incorporating optical flow‐based interframe gap estimation and video frame interpolation techniques. By limiting interframe gaps, meaningful keyframes are generated to enhance tracking reliability.
Donghyun Lee+3 more
wiley +1 more source
Forecasting Research Trends Using Knowledge Graphs and Large Language Models
When research trends can be anticipated, academia and industry are able to allocate limited resources more effectively and accelerate innovation. By constructing knowledge graphs using large language models, this study analyzes the time evolution of nuclear materials research concepts and suggests a data‐driven approach of forecasting research trends ...
Maciej Tomczak+7 more
wiley +1 more source
This study proposes RefineCatDiff, a refinement framework for high‐quality medical image segmentation. By developing a categorical distribution‐based discrete diffusion process for refinement, the framework aligns well with the characteristics of image segmentation tasks. Experimental results on multiple datasets across different modalities demonstrate
Feng Liu+8 more
wiley +1 more source