AIMC Topic: Computer Simulation

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Robotic Surgery: At the Crossroads of a Data Explosion.

World journal of surgery Oct 11, 2021
BACKGROUND: For the last 20 years, controversies in robotic surgery focused on cost reduction, development of new platforms and technologies, creation and validation of curriculum and virtual simulators, and conduction of randomized clinical trials t...
Robotics Laparoscopy Curriculum Explosions Robotic Surgical Procedures Humans 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 Ships Algorithms Computer Simulation Feedback
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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
Forecasting Computer Simulation Drug Discovery Humans Artificial Intelligence Needs Assessment Translational Science, Biomedical Natural History Drug Development Probability
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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...
Toxicity Tests Receptors, Cytoplasmic and Nuclear Computer Simulation Deep Learning Pharmaceutical Preparations Quantitative Structure-Activity Relationship Models, Statistical Humans Algorithms
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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...
Deep Learning Computer Simulation Biological Evolution Reward Animals
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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...
Semiconductors Molybdenum Neural Networks, Computer Children's Health Insurance Program 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,...
Humans Posture Neural Networks, Computer Self Report Computer Simulation Anthropometry
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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...
Epistasis, Genetic Algorithms Multifactor Dimensionality Reduction Computer Simulation Polymorphism, Single Nucleotide Phenotype Genome-Wide Association Study Models, 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, ...
Plant Diseases Stochastic Processes Models, Biological Predatory Behavior Computer Simulation Animals Disease Vectors Neural Networks, Computer Nonlinear Dynamics Vector Borne Diseases Computational Biology
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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 Support Vector Machine Machine Learning Decision Trees Forecasting Computer Simulation
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