AIMC Topic:
Computer Simulation

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A New Generation of ResNet Model Based on Artificial Intelligence and Few Data Driven and Its Construction in Image Recognition Model.

Computational intelligence and neuroscience Mar 19, 2022
The paper proposes an A-ResNet model to improve ResNet. The residual attention module with shortcut connection is introduced to enhance the focus on the target object; the dropout layer is introduced to prevent the overfitting phenomenon and improve ...
Neural Networks, Computer Artificial Intelligence Algorithms Computer Simulation Camellia sinensis
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Power and Area Efficient Cascaded Effectless GDI Approximate Adder for Accelerating Multimedia Applications Using Deep Learning Model.

Computational intelligence and neuroscience Mar 19, 2022
Approximate computing is an upsurging technique to accelerate the process through less computational effort while keeping admissible accuracy of error-tolerant applications such as multimedia and deep learning. Inheritance properties of the deep lear...
Computer Simulation Deep Learning Diffusion Semiconductors Multimedia
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Prediction Model of Stress Intensity Factor of Circumferential Through Crack in Elbow Based on Neural Network.

Computational intelligence and neuroscience Mar 18, 2022
Using ANSYS software to establish the finite element model of crack bending tube, the SIF at the tip of the crack is calculated for the difference in the diameter of the pipe, the outer diameter of the elbow, and the bending angle of the bend pipe, a...
Neural Networks, Computer Software Computer Simulation Elbow Stress, Mechanical
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Neural Network-Based Decoding Input Stimulus Data Based on Recurrent Neural Network Neural Activity Pattern.

Doklady biological sciences : proceedings of the Academy of Sciences of the USSR, Biological sciences sections Mar 17, 2022
The paper reports the assessment of the possibility to recover information obtained using an artificial neural network via inspecting neural activity patterns. A simple recurrent neural network forms dynamic excitation patterns for storing data on in...
Neural Networks, Computer Computer Simulation Neurons
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Atomistic Simulations for Reactions and Vibrational Spectroscopy in the Era of Machine Learning─

The journal of physical chemistry. B Mar 14, 2022
Atomistic simulations using accurate energy functions can provide molecular-level insight into functional motions of molecules in the gas and in the condensed phase. This Perspective delineates the present status of the field from the efforts of othe...
Machine Learning Software Computer Simulation Molecular Conformation Spectrophotometry, Infrared
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A Graph Partition-Based Large-Scale Distribution Network Reconfiguration Method.

Computational intelligence and neuroscience Mar 14, 2022
This article focuses on the analysis of large-scale distribution network reconstruction fused with graph theory and graph partitioning algorithms. Graph theory and graph segmentation algorithms have been rushed by many researchers in the fields of me...
Neural Networks, Computer Algorithms Computer Simulation Cluster Analysis
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Optimal Control of Whole Network Control System Using Improved Genetic Algorithm and Information Integrity Scale.

Computational intelligence and neuroscience Mar 14, 2022
WNCS (Whole network control system) is a network-based distributed control system. The control loop formed by the serial network usually includes several subcontrol systems. WNCS optimal control is a complex and multiparameter coupled highly nonlinea...
Neural Networks, Computer Algorithms Computer Simulation Learning Computer Communication Networks
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Application of machine learning based methods in exposure-response analysis.

Journal of pharmacokinetics and pharmacodynamics Mar 11, 2022
Robust estimation of exposure response analysis relies on correct specification of the model structure with traditional parametric approach. However, the assumptions of the handcrafted model may not always hold or verifiable. Here, we conducted a sim...
Machine Learning Computer Simulation Logistic Models Propensity Score
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Neural-Network Adaptive Output-Feedback Saturation Control for Uncertain Active Suspension Systems.

IEEE transactions on cybernetics Mar 11, 2022
The adaptive neural-network (NN) output-feedback control problem is investigated for a quarter-car active suspension system. The sprung mass and the suspension stiffness in the considered suspension system are unknown, and the part states are not mea...
Neural Networks, Computer Algorithms Computer Simulation Feedback Nonlinear Dynamics
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Link Weight Prediction Using Weight Perturbation and Latent Factor.

IEEE transactions on cybernetics Mar 11, 2022
Link weight prediction is an important subject in network science and machine learning. Its applications to social network analysis, network modeling, and bioinformatics are ubiquitous. Although this subject has attracted considerable attention recen...
Machine Learning Algorithms Computer Simulation Computational Biology
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