AIMC Topic: Learning

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Distributed deep reinforcement learning based on bi-objective framework for multi-robot formation.

Neural networks : the official journal of the International Neural Network Society Dec 1, 2023
Improving generalization ability in multi-robot formation can reduce repetitive training and calculation. In this paper, we study the multi-robot formation problem with the ability to generalize the target position. Since the generalization ability o...
Algorithms Reward Reinforcement, Psychology Learning Robotics
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Decentralized policy learning with partial observation and mechanical constraints for multiperson modeling.

Neural networks : the official journal of the International Neural Network Society Dec 1, 2023
Extracting the rules of real-world multi-agent behaviors is a current challenge in various scientific and engineering fields. Biological agents independently have limited observation and mechanical constraints; however, most of the conventional data-...
Learning Neural Networks, Computer Cognition
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Learning to See.

Journal of general internal medicine Dec 1, 2023
Machine Learning Learning Humans
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Using artificial intelligence to grade practical laboratory examinations: Sacrificing students' learning experiences for saving time?

Anatomical sciences education Dec 1, 2023
The use of artificial intelligence (AI) by students has recently been made a key topic among educators because of the potential to transform students' learning experiences. However, the use of AI-based software by instructors has not received the sam...
Educational Measurement Curriculum Students Time Factors Anatomy Humans Software Artificial Intelligence Learning
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Curricula for teaching end-users to kinesthetically program collaborative robots.

PloS one Dec 1, 2023
Non-expert users can now program robots using various end-user robot programming methods, which have widened the use of robots and lowered barriers preventing robot use by laypeople. Kinesthetic teaching is a common form of end-user robot programming...
Robotics Learning Humans Biomechanical Phenomena Curriculum Physical Examination
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Learning Skill Characteristics From Manipulations.

IEEE transactions on neural networks and learning systems Nov 30, 2023
Percutaneous coronary intervention (PCI) has increasingly become the main treatment for coronary artery disease. The procedure requires high experienced skills and dexterous manipulations. However, there are few techniques to model PCI skill so far. ...
Percutaneous Coronary Intervention Swine Robotics Animals Humans Neural Networks, Computer Algorithms Learning
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DHI-GAN: Improving Dental-Based Human Identification Using Generative Adversarial Networks.

IEEE transactions on neural networks and learning systems Nov 30, 2023
In this work, a novel semisupervised framework is proposed to tackle the small-sample problem of dental-based human identification (DHI), achieving enhanced performance via a "classifying while generating" paradigm. A generative adversarial network (...
Forensic Anthropology Concept Formation Humans Neural Networks, Computer Learning
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Application of transfer learning to predict drug-induced human in vivo gene expression changes using rat in vitro and in vivo data.

PloS one Nov 30, 2023
The liver is the primary site for the metabolism and detoxification of many compounds, including pharmaceuticals. Consequently, it is also the primary location for many adverse reactions. As the liver is not readily accessible for sampling in humans;...
Machine Learning Learning Neural Networks, Computer Humans Liver Animals Gene Expression Rats
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A Scoping Review of the Use of Robotics Technologies for Supporting Social-Emotional Learning in Children with Autism.

Journal of autism and developmental disorders Nov 28, 2023
This scoping review synthesises the current research into robotics technologies for promoting social-emotional learning in children with autism spectrum disorder. It examines the types of robotics technologies employed, their applications, and the ga...
Humans Social Learning Emotions Social Skills Autism Spectrum Disorder Robotics Learning Child
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Diagnosing injection-production system faults in the same well using the rough set-LVQ neural network.

PloS one Nov 27, 2023
This study proposed a reverse calculation model of the unique rod pump injection and production system structures in the same well to diagnose and resolve defects, after which dynamometer diagrams of the system production and injection pumps were dra...
Algorithms Learning Neural Networks, Computer
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