AIMC Topic: Computer Simulation

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Multi-scopic neuro-cognitive adaptation for legged locomotion robots.

Scientific reports Sep 28, 2022
Dynamic locomotion is realized through a simultaneous integration of adaptability and optimality. This article proposes a neuro-cognitive model for a multi-legged locomotion robot that can seamlessly integrate multi-modal sensing, ecological percepti...
Computer Simulation Cognition Robotics Locomotion Adaptation, Physiological
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Producing chemically accurate atomic Gaussian process regression models by active learning for molecular simulation.

Journal of computational chemistry Sep 27, 2022
Machine learning is becoming increasingly more important in the field of force field development. Never has it been more vital to have chemically accurate machine learning potentials because force fields become more sophisticated and their applicatio...
Machine Learning Computer Simulation Peptides Glycine
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A path planning approach for mobile robots using short and safe Q-learning.

PloS one Sep 26, 2022
Path planning is a major challenging problem for mobile robots, as the robot is required to reach the target position from the starting position while simultaneously avoiding conflicts with obstacles. This paper refers to a novel method as short and ...
Algorithms Computer Simulation Learning Robotics
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Logistics Finance Collaborative Development Model Based on Machine Learning.

Computational intelligence and neuroscience Sep 24, 2022
In the context of rapid social development, a logistics financial model that can meet the financing needs of small and medium-sized enterprises and has high returns is widely used in all aspects of the logistics financial industry. Logistics finance ...
Neural Networks, Computer Machine Learning Algorithms Computer Simulation Transportation
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Can We Predict Clinical Pharmacokinetics of Highly Lipophilic Compounds by Integration of Machine Learning or In Vitro Data into Physiologically Based Models? A Feasibility Study Based on 12 Development Compounds.

Molecular pharmaceutics Sep 23, 2022
While high lipophilicity tends to improve potency, its effects on pharmacokinetics (PK) are complex and often unfavorable. To predict clinical PK in early drug discovery, we built human physiologically based PK (PBPK) models integrating either (i) ma...
Humans Machine Learning Computer Simulation Pharmaceutical Preparations Feasibility Studies Models, Biological Solubility Biological Availability Pharmacokinetics
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A guide to systems-level immunomics.

Nature immunology Sep 22, 2022
The immune system is highly complex and distributed throughout an organism, with hundreds to thousands of cell states existing in parallel with diverse molecular pathways interacting in a highly dynamic and coordinated fashion. Although the character...
Machine Learning Computer Simulation Immune System
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Predictive Control of the Mobile Robot under the Deep Long-Short Term Memory Neural Network Model.

Computational intelligence and neuroscience Sep 21, 2022
At present, there is a phenomenon of network data packet loss in the trajectory tracking control system, which will degrade or even destabilize the system's performance. Therefore, this work first explains the theory of the deep long-short term memor...
Neural Networks, Computer Computer Simulation Robotics
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Intelligent Detection and Diagnosis of Power Failure Relying on BP Neural Network Algorithm.

Computational intelligence and neuroscience Sep 21, 2022
The development of economy and the needs of urban planning have led to the rapid growth of power applications and the corresponding frequent occurrence of power failures, which many times lead to a series of economic losses due to failure to repair i...
Neural Networks, Computer Algorithms Computer Simulation Feedback Electric Power Supplies
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Ensemble Dilated Convolutional Neural Network and Its Application in Rotating Machinery Fault Diagnosis.

Computational intelligence and neuroscience Sep 21, 2022
Fault diagnosis of rotating machinery is an attractive yet challenging task. This paper presents a novel intelligent fault diagnosis scheme for rotating machinery based on ensemble dilated convolutional neural networks. The novel fault diagnosis fram...
Neural Networks, Computer Machine Learning Algorithms Computer Simulation
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Recursive Minimum-Variance Filter Design for State-Saturated Complex Networks With Uncertain Coupling Strengths Subject to Deception Attacks.

IEEE transactions on cybernetics Sep 19, 2022
In this article, the recursive filtering problem is investigated for state-saturated complex networks (CNs) subject to uncertain coupling strengths (UCSs) and deception attacks. The measurement signals transmitted via the communication network may su...
Neural Networks, Computer Computer Simulation Time Factors Deception
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