AIMC Topic: Time

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Early experience with low-pass filtered images facilitates visual category learning in a neural network model.

PloS one Jan 6, 2023
Humans are born with very low contrast sensitivity, meaning that inputs to the infant visual system are both blurry and low contrast. Is this solely a byproduct of maturational processes or is there a functional advantage for beginning life with poor...
Humans Neural Networks, Computer Infant, Newborn Infant Time Spatial Learning
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Intelligent Sensors for dc Fault Location Scheme Based on Optimized Intelligent Architecture for HVdc Systems.

Sensors (Basel, Switzerland) Dec 16, 2022
We develop a probabilistic model for determining the location of dc-link faults in MT-HVdc networks using discrete wavelet transforms (DWTs), Bayesian optimization, and multilayer artificial neural networks (ANNs) based on local information. Likewise...
Neural Networks, Computer Algorithms Computer Simulation Bayes Theorem Time
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Deep Learning Reconstruction for Accelerated Spine MRI: Prospective Analysis of Interchangeability.

Radiology Nov 1, 2022
Background Deep learning (DL)-based MRI reconstructions can reduce examination times for turbo spin-echo (TSE) acquisitions. Studies that prospectively employ DL-based reconstructions of rapidly acquired, undersampled spine MRI are needed. Purpose To...
Humans Prospective Studies Male Middle Aged Deep Learning Magnetic Resonance Imaging Spine Time
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Finite-Time Stabilization of Competitive Neural Networks With Time-Varying Delays.

IEEE transactions on cybernetics Oct 17, 2022
This article investigates finite-time stabilization of competitive neural networks with discrete time-varying delays (DCNNs). By virtue of comparison strategies and inequality techniques, finite-time stabilization of the underlying DCNNs is analyzed ...
Neural Networks, Computer Feedback Time
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Rulkov neural network coupled with discrete memristors.

Network (Bristol, England) Oct 6, 2022
The features of memristive-coupled neural networks have been studied extensively in the continuous field. However, the particularities of the discrete domain are rarely mentioned. This paper constructs a discrete memristor with sine-type conductance ...
Neural Networks, Computer Algorithms Neurons Time Records
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Prediction of Duration of Traffic Incidents by Hybrid Deep Learning Based on Multi-Source Incomplete Data.

International journal of environmental research and public health Sep 1, 2022
Traffic accidents causing nonrecurrent congestion and road traffic injuries seriously affect public safety. It is helpful for traffic operation and management to predict the duration of traffic incidents. Most of the previous studies have been in a c...
Neural Networks, Computer Algorithms Deep Learning Accidents, Traffic Time
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Path planning for autonomous mobile robots using multi-objective evolutionary particle swarm optimization.

PloS one Aug 19, 2022
In this article, a new path planning algorithm is proposed. The algorithm is developed on the basis of the algorithm for finding the best value using multi-objective evolutionary particle swarm optimization, known as the MOEPSO. The proposed algorith...
Algorithms Computer Simulation Robotics Time Biological Evolution
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Finite-time stability of state-dependent delayed systems and application to coupled neural networks.

Neural networks : the official journal of the International Neural Network Society Jul 22, 2022
Finite-time stability and stabilization problems of state-dependent delayed systems are studied in this paper. Different from discrete delays and time-dependent delays which can be well estimated over time, the information of state-dependent delays i...
Neural Networks, Computer Algorithms Time
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Few-Shot Emergency Siren Detection.

Sensors (Basel, Switzerland) Jun 8, 2022
It is a well-established practice to build a robust system for sound event detection by training supervised deep learning models on large datasets, but audio data collection and labeling are often challenging and require large amounts of effort. This...
Neural Networks, Computer Sound Data Collection Time Ambulances
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Robot Navigation Based on Potential Field and Gradient Obtained by Bilinear Interpolation and a Grid-Based Search.

Sensors (Basel, Switzerland) Apr 25, 2022
The original concept of the artificial potential field in robot path planning has spawned a variety of extensions to address its main weakness, namely the formation of local minima in which the robot may be trapped. In this paper, a smooth navigation...
Algorithms Computer Systems Robotics Time
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