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Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Evaluation of an adapted virtual training for master trainers of the WHO Caregiver Skills Training Program during the COVID-19 pandemic. [PDF]

Autism
Ibrahim AT, Yusuf A, Pickard H, Dixon P, Shih A, Shire S, Pickles A, Elsabbagh M.   +7 more
europepmc   +1 more source

A High‐Precision Dynamic Movement Recognition Algorithm Using Multimodal Biological Signals for Human–Machine Interaction

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao, Gang Ma, Zelin Chen, Yiming Ouyang, Hu Jin, Shiwu Zhang   +5 more
wiley   +1 more source

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Virtual reality for CSI training

Multimodal Image Exploitation and Learning 2023, 2023
The EU-funded project, Real-Time On-Site Forensic Trace Qualification (RISEN) aims to enable the use of advanced sensors in the field in order to get results in near real-time. The project also aims to visualize the data by innovative means, such as in virtual reality (VR).
Engström, Philip, Jankiewicz, Bartłomiej, Chirico, Roberto, Peltola, Johannes, Honkamaa, Petri, Iacobellis, Giuliano   +6 more
openaire   +3 more sources

A randomized clinical trial of a virtual-training program for teaching applied-behavior- analysis skills to parents of children with autism spectrum disorder.

Journal of Applied Behavior Analysis, 2020
Parents play an important role in the treatment of their children's symptoms of autism spectrum disorder (ASD); thus, developing effective, efficient, socially acceptable, and accessible procedures for training parents to implement applied-behavior ...
W. Fisher, Kevin C. Luczynski, A. P. Blowers, Megan E Vosters, Maegan D Pisman, Andy R Craig, Stephanie A Hood, M. Machado, Aaron D. Lesser, C. C. Piazza   +9 more
semanticscholar   +1 more source

SLATE: Virtualizing multiscale CT training [PDF]

Journal of X-Ray Science and Technology: Clinical Applications of Diagnosis and Therapeutics, 2012
Training on micro- and nano- computed tomography (CT) scanners has been traditionally conducted via extensive practice on the instrument. This entails presence of an instructor to guide through the training procedure, until reasonable experience is attained.
Sourav, Mishra, Kriti Sen, Sharma, Spencer J, Lee, Edward A, Fox, Ge, Wang   +4 more
openaire   +2 more sources

VIRTUAL ARTHROSCOPY TRAINING:

1999
The purpose of the study is to validate the training efficacy of the PC-based Sheffield Knee Arthroscopy Training System (SKATS, as described in MMVR6). Based on a task analysis of real arthroscopy, an evaluation module has been designed to test the core psycho-motor skills used in arthroscopy.
McCarthy Avril, Harley Peter, Smallwood Rod   +2 more
openaire   +1 more source

Virtual Proprioception for eccentric training

2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Wireless inertial sensors enable quantified feedback, which can be applied to evaluate the efficacy of therapy and rehabilitation. In particular eccentric training promotes a beneficial rehabilitation and strength training strategy. Virtual Proprioception for eccentric training applies real-time feedback from a wireless gyroscope platform enabled ...
Robert, LeMoyne, Timothy, Mastroianni
openaire   +2 more sources