AIMC Topic: Computer Simulation

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Application of deep learning methods: From molecular modelling to patient classification.

Experimental cell research Jul 8, 2022
We are now well into the information driven age with complex, heterogeneous, datasets in the biological sciences continuing to grow at a rapid pace. Moreover, distilling of such datasets, to find new governing principles, are underway. Leading the su...
Humans Neural Networks, Computer Machine Learning Computer Simulation Deep Learning
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Visual and buying sequence features-based product image recommendation using optimization based deep residual network.

Gene expression patterns : GEP Jul 8, 2022
A recommendation system is an imaginative resolution for managing the restrictions in e-commerce services with item details and user details. Also, it is used to determine the user preferences to recommend the items they expected to buy. Several conv...
Computer Simulation Deep Learning Models, Economic Commerce
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Cognitive Heterogeneous Wireless Network and Artificial Intelligence-Based Supply Chain Efficiency Optimization Application.

Computational intelligence and neuroscience Jul 8, 2022
Cognitive radio can specifically perceive the surrounding environment, can understand and learn the changes in the surrounding environment, and can adjust its own adaptation method, channel calculation, and other transmission parameters at any time. ...
Artificial Intelligence Computer Simulation Cognition Computer Communication Networks Wireless Technology
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Tutorial: Artificial neural networks to analyze single-case experimental designs.

Psychological methods Jul 7, 2022
Since the start of the 21st century, few advances have had as far-reaching impact in science as the widespread adoption of artificial neural networks in fields as diverse as fundamental physics, clinical medicine, and psychology. In research methods,...
Humans Neural Networks, Computer Research Design Computer Simulation Monte Carlo Method
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Robust Fixed-Time H∞ Trajectory Tracking Control for Marine Surface Vessels Based on a Self-Structuring Neural Network.

Computational intelligence and neuroscience Jul 7, 2022
In this study, a robust fixed-time H∞ trajectory tracking controller for marine surface vessels (MSVs) is proposed based on self-structuring neural network (SSNN). First, a fixed-time H Lyapunov stability theorem is proposed to guarantee that the MSV...
Neural Networks, Computer Algorithms Computer Simulation
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Employing Artificial Neural Networks to Identify Reaction Coordinates and Pathways for Self-Assembly.

The journal of physical chemistry. B Jul 6, 2022
Capturing the autonomous self-assembly of molecular building blocks in computer simulations is a persistent challenge, requiring to model complex interactions and to access long time scales. Advanced sampling methods allow to bridge these time scales...
Neural Networks, Computer Computer Simulation Molecular Conformation
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Design and Research of an Articulated Tracked Firefighting Robot.

Sensors (Basel, Switzerland) Jul 6, 2022
Aiming to improve the situation where a firefighting robot is affected by conditions of space and complex terrain, a small four-track, four-drive articulated tracked fire-extinguishing robot is designed, which can flexibly perform fire detection and ...
Computer Simulation Biomechanical Phenomena Models, Theoretical Robotics Motion
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A Two-Stage Feature Point Detection and Marking Approach Based on the Labeled Multi-Bernoulli Filter.

Sensors (Basel, Switzerland) Jul 6, 2022
In recent years, various algorithms using random finite sets (RFS) to solve the issue of simultaneous localization and mapping (SLAM) have been proposed. Compared with the traditional method, the advantage of the RFS method is that it can avoid data ...
Algorithms Computer Simulation Robotics Bayes Theorem
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Recurrent neural network based high-precision position compensation control of magnetic levitation system.

Scientific reports Jul 6, 2022
For improving the dynamic quality and steady-state performance, the hybrid controller based on recurrent neural network (RNN) is designed to implement the position control of the magnetic levitation ball system in this study. This hybrid controller c...
Neural Networks, Computer Algorithms Computer Simulation Feedback Magnetic Phenomena
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Deep learning from phylogenies to uncover the epidemiological dynamics of outbreaks.

Nature communications Jul 6, 2022
Widely applicable, accurate and fast inference methods in phylodynamics are needed to fully profit from the richness of genetic data in uncovering the dynamics of epidemics. Standard methods, including maximum-likelihood and Bayesian approaches, gene...
Humans Computer Simulation Male Disease Outbreaks Phylogeny Deep Learning Bayes Theorem
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