AIMC Topic:
Computer Simulation

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Control of Dynamic Positioning System with Disturbance Observer for Autonomous Marine Surface Vessels.

Sensors (Basel, Switzerland) Oct 10, 2021
The main goal of the research is to design an efficient controller for a dynamic positioning system for autonomous surface ships using the backstepping technique for the case of full-state feedback in the presence of unknown external disturbances. Th...
Neural Networks, Computer Algorithms Computer Simulation Feedback Ships
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AI for drug discovery is advancing rapidly: We need smart biology for it to fulfill its mission.

Drug discovery today Oct 8, 2021
Translational Science, Biomedical Natural History Drug Development Probability Needs Assessment Computer Simulation Drug Discovery Humans Artificial Intelligence Forecasting
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Prediction Models for Agonists and Antagonists of Molecular Initiation Events for Toxicity Pathways Using an Improved Deep-Learning-Based Quantitative Structure-Activity Relationship System.

International journal of molecular sciences Oct 6, 2021
In silico approaches have been studied intensively to assess the toxicological risk of various chemical compounds as alternatives to traditional in vivo animal tests. Among these approaches, quantitative structure-activity relationship (QSAR) analysi...
Humans Quantitative Structure-Activity Relationship Toxicity Tests Receptors, Cytoplasmic and Nuclear Deep Learning Models, Statistical Pharmaceutical Preparations Algorithms Computer Simulation
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Embodied intelligence via learning and evolution.

Nature communications Oct 6, 2021
The intertwined processes of learning and evolution in complex environmental niches have resulted in a remarkable diversity of morphological forms. Moreover, many aspects of animal intelligence are deeply embodied in these evolved morphologies. Howev...
Biological Evolution Computer Simulation Animals Deep Learning Reward
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An artificial neural network chip based on two-dimensional semiconductor.

Science bulletin Oct 5, 2021
Recently, research on two-dimensional (2D) semiconductors has begun to translate from the fundamental investigation into rudimentary functional circuits. In this work, we unveil the first functional MoS artificial neural network (ANN) chip, including...
Molybdenum Children's Health Insurance Program Semiconductors Neural Networks, Computer Computer Simulation
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A Neural Networks Approach to Determine Factors Associated With Self-Reported Discomfort in Picking Tasks.

Human factors Oct 4, 2021
OBJECTIVE: A neural networks approach has been proposed to handle various inputs such as postural, anthropometric and environmental variables in order to estimate self-reported discomfort in picking tasks. An input reduction method has been proposed,...
Posture Self Report Anthropometry Humans Neural Networks, Computer Computer Simulation
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Spatial rank-based multifactor dimensionality reduction to detect gene-gene interactions for multivariate phenotypes.

BMC bioinformatics Oct 4, 2021
BACKGROUND: Identifying interaction effects between genes is one of the main tasks of genome-wide association studies aiming to shed light on the biological mechanisms underlying complex diseases. Multifactor dimensionality reduction (MDR) is a popul...
Phenotype Computer Simulation Genome-Wide Association Study Algorithms Multifactor Dimensionality Reduction Polymorphism, Single Nucleotide Models, Genetic Epistasis, Genetic
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Competency of Neural Networks for the Numerical Treatment of Nonlinear Host-Vector-Predator Model.

Computational and mathematical methods in medicine Oct 4, 2021
The aim of this work is to introduce a stochastic solver based on the Levenberg-Marquardt backpropagation neural networks (LMBNNs) for the nonlinear host-vector-predator model. The nonlinear host-vector-predator model is dependent upon five classes, ...
Stochastic Processes Predatory Behavior Disease Vectors Nonlinear Dynamics Plant Diseases Vector Borne Diseases Neural Networks, Computer Computer Simulation Animals Computational Biology Models, Biological
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Optimization of running-in surface morphology parameters based on the AutoML model.

PloS one Oct 4, 2021
Running-in is an important and relatively complicated process. The surface morphology prior to running-in affects the surface morphology following the running-in process, which in turn influences the friction and wear characteristics of the workpiece...
Surface Properties Friction Lubrication Materials Testing Oils Computer Simulation Support Vector Machine Decision Trees Machine Learning Forecasting
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An artificial intelligence model to predict hepatocellular carcinoma risk in Korean and Caucasian patients with chronic hepatitis B.

Journal of hepatology Oct 2, 2021
BACKGROUND & AIMS: Several models have recently been developed to predict risk of hepatocellular carcinoma (HCC) in patients with chronic hepatitis B (CHB). Our aims were to develop and validate an artificial intelligence-assisted prediction model of...
Humans Artificial Intelligence Asian People White People Guanine Tenofovir Hepatitis B, Chronic Middle Aged Cohort Studies Liver Neoplasms Carcinoma, Hepatocellular Antiviral Agents Follow-Up Studies Female Adult Male Computer Simulation Republic of Korea
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