AIMC Topic: Computer Simulation

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LPAI-A Complete AIoT Framework Based on LPWAN Applicable to Acoustic Scene Classification Scenarios.

Sensors (Basel, Switzerland) Dec 2, 2022
Deploying artificial intelligence on edge nodes of Low-Power Wide Area Networks can significantly reduce network transmission volumes, event response latency, and overall network power consumption. However, the edge nodes in LPWAN bear limited comput...
Acoustics Recognition, Psychology Reaction Time Ursidae Artificial Intelligence Animals Computer Simulation
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A Computational Complexity Perspective on Segmentation as a Cognitive Subcomputation.

Topics in cognitive science Dec 1, 2022
Computational feasibility is a widespread concern that guides the framing and modeling of natural and artificial intelligence. The specification of cognitive system capacities is often shaped by unexamined intuitive assumptions about the search space...
Humans Artificial Intelligence Speech Cognition Learning Computer Simulation
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Developing a Robotic Surgery Curriculum: Selection of Virtual Reality Drills for Content Alignment.

The Journal of surgical research Dec 1, 2022
INTRODUCTION: Despite the importance of simulation-based training for robotic surgery, there is no consensus about its training curricula. Recently, a virtual reality (VR) platform (SimNow, Intuitive, Inc) was introduced with 33 VR drills but without...
Clinical Competence Virtual Reality Computer Simulation Robotic Surgical Procedures Curriculum Robotics
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Modeling and control of cable-driven continuum robot used for minimally invasive surgery.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Dec 1, 2022
Continuum robot has great advantages in minimally invasive surgery (MIS) due to the slenderness and dexterity. But the friction and backlash result in the low trajectory tracking accuracy. This paper aims to study the transmission process of the driv...
Mechanical Phenomena Robotics Equipment Design Computer Simulation Minimally Invasive Surgical Procedures
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Passive tracking of underwater acoustic targets based on multi-beam LOFAR and deep learning.

PloS one Dec 1, 2022
Conventional passive tracking methods for underwater acoustic targets in sonar engineering generate time azimuth histogram and use it as a basis for target azimuth and tracking. Passive underwater acoustic targets only have azimuth information on the...
Sound Deep Learning Computer Simulation Acoustics Engineering
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A novel hybrid optimization enabled robust CNN algorithm for an IoT network intrusion detection approach.

PloS one Dec 1, 2022
Due to the huge number of connected Internet of Things (IoT) devices within a network, denial of service and flooding attacks on networks are on the rise. IoT devices are disrupted and denied service because of these attacks. In this study, we propos...
Computer Simulation Animals Algorithms Neural Networks, Computer Cetacea Entropy Heuristics
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DLA-H: A Deep Learning Accelerator for Histopathologic Image Classification.

Journal of digital imaging Nov 30, 2022
It is more than a decade since machine learning and especially its leading subtype deep learning have become one of the most interesting topics in almost all areas of science and industry. In numerous contexts, at least one of the applications of dee...
Deep Learning Computer Simulation Software Algorithms Neural Networks, Computer Humans
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Machine Learning Modeling and Insights into the Structural Characteristics of Drug-Induced Neurotoxicity.

Journal of chemical information and modeling Nov 30, 2022
Neurotoxicity can be resulted from many diverse clinical drugs, which has been a cause of concern to human populations across the world. The detection of drug-induced neurotoxicity (DINeurot) potential with biological experimental methods always requ...
Machine Learning Humans Computer Simulation
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Delay-Dependent Switching Approaches for Stability Analysis of Two Additive Time-Varying Delay Neural Networks.

IEEE transactions on neural networks and learning systems Nov 30, 2022
This article analyzes the exponentially stable problem of neural networks (NNs) with two additive time-varying delay components. Disparate from the previous solutions on this similar model, switching ideas, that divide the time-varying delay interval...
Time Factors Computer Simulation Neural Networks, Computer Algorithms
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IBLF-Based Adaptive Neural Control of State-Constrained Uncertain Stochastic Nonlinear Systems.

IEEE transactions on neural networks and learning systems Nov 30, 2022
In this article, the adaptive neural backstepping control approaches are designed for uncertain stochastic nonlinear systems with full-state constraints. According to the symmetry of constraint boundary, two cases of controlled systems subject to sym...
Nonlinear Dynamics Uncertainty Learning Computer Simulation Neural Networks, Computer
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