Results 51 to 60 of about 12,263,359 (280)
A survey of 3D object detection algorithms
智能科学与技术学报, 2023 3D object detection is a fundamental problem in autonomous driving，virtual reality，robotics，and other applications.Its goal is to extract the most accurate 3D box characterizing interested targets from the disordered point clouds，such as the closest 3D ...
Zhe HUANG, Yongcai WANG, Deying LI
doaj
Application of a Moodle-based blended teaching in medical education [PDF]
Jichu yixue yu linchuang, 2021 The construction of a professional learning management system(LMS)platform is one of the important tasks in modern medical education reform. Peking Union Medical College (PUMC) had built the LMS based on open-source software modular object-oriented ...
ZHANG Yan-li, WANG Zhi-gang, SHI Fu-ren, YANG Xiao-lin
doaj
English Review: Journal of English Education, 2023 Studies about an attitude toward learning English have been conducted almost everywhere because of its important influence on the English learning process.
Rosina F. J. Lekawael +2 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
The immersive virtual environment of the Digital Fulldome: Considerations of relevant psychological processes [PDF]
, 2012 One of the most recent additions to the range of Immersive Virtual Environments has been the digital fulldome. However, not much empirical research has been conducted to explore its potential and benefits over other types of presentation formats. In this
Hedge, Craig +2 more
core +4 more sources
The PRIMA Thesaurus for Materials Science and Engineering
Advanced Engineering Materials, EarlyView.The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa +8 more
wiley +1 more source
A low complexity heuristic to solve a learning objects recommendation problem
Smart Learning Environments, 2020 The recommendation of learning objects in virtual learning environments has become the focus of research to improve online learning experience. Several approaches have been presented in an attempt to model the individual characteristics of the students ...
Samuel Henrique Falci +3 more
doaj +1 more source
Construction and validation of a virtual learning object on intestinal elimination ostomy
Investigación y Educación en Enfermería, 2016 To construct and validate a virtual learning object (VLO) on intestinal elimination stoma.Applied, descriptive and quantitative study. In 2014, eight stoma therapists and eight experts in computer science took part of the research. The VLO included four steps: i) planning, ii) construction of VLO and changes of content; iii) development of dynamic, and
Soares Rodrigues Braga, Cecílio +8 more
openaire +4 more sources
Learning a human-perceived softness measure of virtual 3D objects [PDF]
Proceedings of the ACM Symposium on Applied Perception, 2016 We introduce the problem of computing a human-perceived softness measure for virtual 3D objects. As the virtual objects do not exist in the real world, we do not directly consider their physical properties but instead compute the human-perceived softness of the geometric shapes.
Manfred Lau +3 more
openaire +2 more sources
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
Advanced Engineering Materials, EarlyView.This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source