AIMC Topic:
Computer Simulation

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Overcoming Challenges of Applying Reinforcement Learning for Intelligent Vehicle Control.

Sensors (Basel, Switzerland) Nov 25, 2021
Reinforcement learning (RL) is a booming area in artificial intelligence. The applications of RL are endless nowadays, ranging from fields such as medicine or finance to manufacturing or the gaming industry. Although multiple works argue that RL can ...
Reinforcement, Psychology Computer Simulation Learning Artificial Intelligence
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Remaining Useful Life Estimation of Aircraft Engines Using a Joint Deep Learning Model Based on TCNN and Transformer.

Computational intelligence and neuroscience Nov 24, 2021
The remaining useful life estimation is a key technology in prognostics and health management (PHM) systems for a new generation of aircraft engines. With the increase in massive monitoring data, it brings new opportunities to improve the prediction ...
Deep Learning Neural Networks, Computer Aircraft Computer Simulation
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A Novel Complete-Surface-Finding Algorithm for Online Surface Scanning with Limited View Sensors.

Sensors (Basel, Switzerland) Nov 19, 2021
Robotised Non-Destructive Testing (NDT) has revolutionised the field, increasing the speed of repetitive scanning procedures and ability to reach hazardous environments. Application of robot-assisted NDT within specific industries such as remanufactu...
Algorithms Computer Simulation Robotics
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A Bio-inspired trajectory planning method for robotic manipulators based on improved bacteria foraging optimization algorithm and tau theory.

Mathematical biosciences and engineering : MBE Nov 18, 2021
In this paper, a novel bio-inspired trajectory planning method is proposed for robotic systems based on an improved bacteria foraging optimization algorithm (IBFOA) and an improved intrinsic Tau jerk (named Tau-J*) guidance strategy. Besides, the ada...
Models, Theoretical Robotics Algorithms Biomimetics Computer Simulation Bacteria
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DeepPhospho accelerates DIA phosphoproteome profiling through in silico library generation.

Nature communications Nov 18, 2021
Phosphoproteomics integrating data-independent acquisition (DIA) enables deep phosphoproteome profiling with improved quantification reproducibility and accuracy compared to data-dependent acquisition (DDA)-based phosphoproteomics. DIA data mining he...
Proteomics Proteome Peptide Library Computational Biology Tandem Mass Spectrometry Data Mining Phosphopeptides Chromatography, Liquid Computer Simulation Phosphoproteins Reproducibility of Results Humans Deep Learning Algorithms Cell Line, Tumor
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A second-order accelerated neurodynamic approach for distributed convex optimization.

Neural networks : the official journal of the International Neural Network Society Nov 16, 2021
Based on the theories of inertial systems, a second-order accelerated neurodynamic approach is designed to solve a distributed convex optimization with inequality and set constraints. Most of the existing approaches for distributed convex optimizatio...
Computer Simulation Neural Networks, Computer
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An inertial neural network approach for robust time-of-arrival localization considering clock asynchronization.

Neural networks : the official journal of the International Neural Network Society Nov 16, 2021
This paper presents an inertial neural network to solve the source localization optimization problem with l-norm objective function based on the time of arrival (TOA) localization technique. The convergence and stability of the inertial neural networ...
Noise Neural Networks, Computer Algorithms Computer Simulation
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Imitation and mirror systems in robots through Deep Modality Blending Networks.

Neural networks : the official journal of the International Neural Network Society Nov 16, 2021
Learning to interact with the environment not only empowers the agent with manipulation capability but also generates information to facilitate building of action understanding and imitation capabilities. This seems to be a strategy adopted by biolog...
Computer Simulation Animals Machine Learning Mirror Neurons Robotics Imitative Behavior
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Keratoconus Severity Classification Using Features Selection and Machine Learning Algorithms.

Computational and mathematical methods in medicine Nov 16, 2021
Keratoconus is a noninflammatory disease characterized by thinning and bulging of the cornea, generally appearing during adolescence and slowly progressing, causing vision impairment. However, the detection of keratoconus remains difficult in the ear...
Early Diagnosis Linear Models Keratoconus Cornea Bayes Theorem Severity of Illness Index Humans Databases, Factual Support Vector Machine Neural Networks, Computer Computer Simulation Computational Biology Decision Trees Machine Learning Logistic Models Algorithms
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Adaptive Critic Learning-Based Robust Control of Systems with Uncertain Dynamics.

Computational intelligence and neuroscience Nov 16, 2021
Model uncertainties are usually unavoidable in the control systems, which are caused by imperfect system modeling, disturbances, and nonsmooth dynamics. This paper presents a novel method to address the robust control problem for uncertain systems. T...
Neural Networks, Computer Algorithms Computer Simulation Feedback Nonlinear Dynamics
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