AIMC Topic: Computer Simulation

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A Neural Learning Approach for a Data-Driven Nonlinear Error Correction Model.

Computational intelligence and neuroscience Jan 23, 2023
A nonlinear error correction model (ECM) is developed to fit nonlinear relationships between the nonstationary time series in a cointegration relationship. Different from the previous parametric methods, this paper constructs a hybrid neural network ...
Neural Networks, Computer Algorithms Computer Simulation Time Factors Nonlinear Dynamics
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A subgradient-based neurodynamic algorithm to constrained nonsmooth nonconvex interval-valued optimization.

Neural networks : the official journal of the International Neural Network Society Jan 20, 2023
In this paper, a subgradient-based neurodynamic algorithm is presented to solve the nonsmooth nonconvex interval-valued optimization problem with both partial order and linear equality constraints, where the interval-valued objective function is nonc...
Neural Networks, Computer Algorithms Computer Simulation
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Video-based formative and summative assessment of surgical tasks using deep learning.

Scientific reports Jan 19, 2023
To ensure satisfactory clinical outcomes, surgical skill assessment must be objective, time-efficient, and preferentially automated-none of which is currently achievable. Video-based assessment (VBA) is being deployed in intraoperative and simulation...
Computer Simulation Reproducibility of Results Deep Learning Clinical Competence Certification
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Improved Bidirectional RRT* Algorithm for Robot Path Planning.

Sensors (Basel, Switzerland) Jan 16, 2023
In order to address the shortcomings of the traditional bidirectional RRT* algorithm, such as its high degree of randomness, low search efficiency, and the many inflection points in the planned path, we institute improvements in the following directi...
Algorithms Research Design Computer Simulation Robotics Records
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DCP-SLAM: Distributed Collaborative Partial Swarm SLAM for Efficient Navigation of Autonomous Robots.

Sensors (Basel, Switzerland) Jan 16, 2023
Collaborative robots represent an evolution in the field of swarm robotics that is pervasive in modern industrial undertakings from manufacturing to exploration. Though there has been much work on path planning for autonomous robots employing floor p...
Algorithms Computer Simulation Robotics
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Robust Control Based on Adaptive Neural Network for the Process of Steady Formation of Continuous Contact Force in Unmanned Aerial Manipulator.

Sensors (Basel, Switzerland) Jan 15, 2023
Contact force control for Unmanned Aerial Manipulators (UAMs) is a challenging issue today. This paper designs a new method to stabilize the UAM system during the formation of contact force with the target. Firstly, the dynamic model of the contact p...
Neural Networks, Computer Computer Simulation Uncertainty Cephapirin
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Device simulations with A U-Net model predicting physical quantities in two-dimensional landscapes.

Scientific reports Jan 13, 2023
Although Technology Computer-Aided Design (TCAD) simulation has paved a successful and efficient way to significantly reduce the cost of experiments under the device design, it still encounters many challenges as the semiconductor industry goes throu...
Neural Networks, Computer Machine Learning Computer Simulation Semiconductors Physical Examination
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Systematic Review of Machine Learning applied to the Prediction of Obesity and Overweight.

Journal of medical systems Jan 13, 2023
Obesity and overweight has increased in the last year and has become a pandemic disease, the result of sedentary lifestyles and unhealthy diets rich in sugars, refined starches, fats and calories. Machine learning (ML) has proven to be very useful in...
Humans Artificial Intelligence Machine Learning Forecasting Computer Simulation Diet Deep Learning Overweight Obesity
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Composition of Hybrid Deep Learning Model and Feature Optimization for Intrusion Detection System.

Sensors (Basel, Switzerland) Jan 12, 2023
Recently, with the massive growth of IoT devices, the attack surfaces have also intensified. Thus, cybersecurity has become a critical component to protect organizational boundaries. In networks, Intrusion Detection Systems (IDSs) are employed to rai...
Computer Simulation Deep Learning Benchmarking Computer Security
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A tree-based modeling approach for matched case-control studies.

Statistics in medicine Jan 11, 2023
Conditional logistic regression (CLR) is the indisputable standard method for the analysis of matched case-control studies. However, CLR is strongly restricted with respect to the inclusion of non-linear effects and interactions of confounding variab...
Humans Machine Learning Computer Simulation Case-Control Studies Logistic Models
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