AIMC Topic: Computer Simulation

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Non-fragile output-feedback synchronization for delayed discrete-time complex-valued neural networks with randomly occurring uncertainties.

Neural networks : the official journal of the International Neural Network Society Dec 9, 2022
This paper is step forward to establish an exponential synchronization criterion for discrete-time complex-valued neural networks (CVNNs) having time-varying delays subject to randomly occurring uncertain weighting parameters, in order to overcome th...
Computer Simulation Feedback Software Algorithms Neural Networks, Computer
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Operational State Recognition of a DC Motor Using Edge Artificial Intelligence.

Sensors (Basel, Switzerland) Dec 9, 2022
Edge artificial intelligence (EDGE-AI) refers to the execution of artificial intelligence algorithms on hardware devices while processing sensor data/signals in order to extract information and identify patterns, without utilizing the cloud. In the f...
Software Neural Networks, Computer Artificial Intelligence Algorithms Computer Simulation
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Intra Prediction Method for Depth Video Coding by Block Clustering through Deep Learning.

Sensors (Basel, Switzerland) Dec 9, 2022
In this paper, we propose an intra-picture prediction method for depth video by a block clustering through a neural network. The proposed method solves a problem that the block that has two or more clusters drops the prediction performance of the int...
Cluster Analysis Deep Learning Computer Simulation Neural Networks, Computer
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Self-regulated learning and the future of diagnostic reasoning education.

Diagnosis (Berlin, Germany) Dec 8, 2022
Diagnostic reasoning is a foundational ability of health professionals. The goal of enhancing clinical reasoning education is improved diagnostic accuracy and reduced diagnostic error. In order to do so, health professions educators need not only hel...
Health Personnel Computer Simulation Artificial Intelligence Humans Problem Solving Diagnostic Errors
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Method of Changing Running Direction of Cheetah-Inspired Quadruped Robot.

Sensors (Basel, Switzerland) Dec 7, 2022
The rapid change of motion direction during running is beneficial to improving the movement flexibility of the quadruped robot, which is of great relevance to its research. How to make the robot change its motion direction during running and achieve ...
Animals Computer Simulation Acinonyx Gait Biomimetics Robotics
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Deep Deterministic Policy Gradient-Based Autonomous Driving for Mobile Robots in Sparse Reward Environments.

Sensors (Basel, Switzerland) Dec 7, 2022
In this paper, we propose a deep deterministic policy gradient (DDPG)-based path-planning method for mobile robots by applying the hindsight experience replay (HER) technique to overcome the performance degradation resulting from sparse reward proble...
Robotics Policy Computer Simulation Automobile Driving Reward
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Hybrid Intelligence-Driven Medical Image Recognition for Remote Patient Diagnosis in Internet of Medical Things.

IEEE journal of biomedical and health informatics Dec 7, 2022
In ear of smart cities, intelligent medical image recognition technique has become a promising way to solve remote patient diagnosis in IoMT. Although deep learning-based recognition approaches have received great development during the past decade, ...
Humans Neural Networks, Computer Intelligence Internet Computer Simulation Machine Learning
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Structural Analysis and Prediction of Hematotoxicity Using Deep Learning Approaches.

Journal of chemical information and modeling Dec 6, 2022
Hematotoxicity has been becoming a serious but overlooked toxicity in drug discovery. However, only a few models have been reported for the prediction of hematotoxicity. In this study, we constructed a high-quality dataset comprising 759 hematotoxic...
Deep Learning Algorithms Drug Discovery Computer Simulation Machine Learning
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Global stability of a continuous bioreactor model under persistent variation of the dilution rate.

Mathematical biosciences and engineering : MBE Dec 6, 2022
In this work, the global stability of a continuous bioreactor model is studied, with the concentrations of biomass and substrate as state variables, a general non-monotonic function of substrate concentration for the specific growth rate, and constan...
Time Factors Computer Simulation Neural Networks, Computer Bioreactors Biomass
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Comparison of Modern Control Methods for Soft Robots.

Sensors (Basel, Switzerland) Dec 3, 2022
With the rise in new soft robotic applications, the control requirements increase. Therefore, precise control methods for soft robots are required. However, the dynamic control of soft robots, which is required for fast movements, is still an open to...
Robotics Movement Biomechanical Phenomena Computer Simulation
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