Results 121 to 130 of about 60,104 (158)

Protocol for an interpretable self-attention artificial neural network framework to predict cancer risk in oral potentially malignant disorders. [PDF]

STAR Protoc
Luo S, Zou X, Lin Z, Li J, Zhang M, Zhou Y, Zhao L, Zheng L, Zhang D.   +8 more
europepmc   +1 more source

Introduction of R&D Environments for Synthetic Q-space Learning : An Instance

Japanese Journal of Magnetic Resonance in Medicine
openaire   +1 more source

Data generation and machine learning-based image restoration in 3D synthetic environments

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Using Synthetic Datasets to Hone Intuitions Within an Adaptive Learning Environment

Lecture Notes in Computer Science, 2021
Adaptive learning typically focuses on the challenge of adjusting the presentation of instructional material based on an automated assessment of real-time student performance. The goal is to move away from a one-size-fits-all approach to learning toward a more personalized experience.
Walter Warwick, Rod Ford, Matt Funke
exaly   +2 more sources

E-Learning Environment Based on Intelligent Synthetic Characters

Lecture Notes in Computer Science, 2005
This paper introduces our approach to apply synthetic characters to behavior training in primary schools. Project groups include research centers from UK, Portugal, and China. Research members include artificial intelligent group, graphical group, educational group and psychological group.
Ruth Aylett, Aylett Ruth, Zhang Mingmin   +2 more
exaly   +2 more sources

Collaborative Virtual Learning Environment Using Synthetic Characters

Lecture Notes in Computer Science, 2005
This research work not only proposes a deep insight to initiative and vivid concept modeling which makes use of several techniques like flash animation, rolling image-based introduction, virtual experiment, etc., but also explores the potential integration of synthetic characters with virtual learning environment to better simulate the social ...
Pan Zhigeng, Jiejie Zhu, Hu Weihua
exaly   +2 more sources

Synthetic Learning Environment

2012
exaly   +2 more sources

Fukushima nuclear plant as a synthetic learning environment

SIGGRAPH Asia 2018 Posters, 2018
A Virtual Reality project of the Fukushima Dai'ichi nuclear power plant was designed, modelled and programmed as a Synthetic Learning Environment (SLE) for education purposes, motivated by the fact that the disaster of March 2011 revealed much about Japan's lack of preparedness for nuclear accidents.
Michael Vallance, Yuto Kurashige, Takurou Magaki   +2 more
openaire   +1 more source

Synthetic learning agents in game-playing social environments

Adaptive Behavior, 2016
This paper investigates the performance of synthetic agents in playing and learning scenarios in a turn-based zero-sum game and highlights the ability of opponent-based learning models to demonstrate competitive playing performances in social environments. Synthetic agents are generated based on a variety of combinations of some key parameters, such as
Chairi Kiourt, Dimitris Kalles
openaire   +1 more source

Optic Flow Helps Humans Learn to Navigate through Synthetic Environments

Perception, 2000
Self-movement through an environment generates optic flow, a potential source of heading information. But it is not certain that optic flow is sufficient to support navigation, particularly navigation along complex, multi-legged paths. To address this question, we studied human participants who navigated synthetic environments with and without salient ...
M P, Kirschen, M J, Kahana, R, Sekuler, B, Burack   +3 more
openaire   +2 more sources