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Efficient Path Planning for Mobile Robot Based on Deep Deterministic Policy Gradient.
Sensors (Basel, Switzerland)
May 8, 2022
When a traditional Deep Deterministic Policy Gradient (DDPG) algorithm is used in mobile robot path planning, due to the limited observable environment of mobile robots, the training efficiency of the path planning model is low, and the convergence s...
Formation Control of Automated Guided Vehicles in the Presence of Packet Loss.
Sensors (Basel, Switzerland)
May 7, 2022
This paper presents the formation tracking problem for non-holonomic automated guided vehicles. Specifically, we focus on a decentralized leader-follower approach using linear quadratic regulator control. We study the impact of communication packet l...
A Feed-Forward Neural Network for Increasing the Hopfield-Network Storage Capacity.
International journal of neural systems
May 6, 2022
In the hippocampal dentate gyrus (DG), pattern separation mainly depends on the concepts of 'expansion recoding', meaning random mixing of different DG input channels. However, recent advances in neurophysiology have challenged the theory of pattern ...
Ensuring the Reliability of Virtual Sensors Based on Artificial Intelligence within Vehicle Dynamics Control Systems.
Sensors (Basel, Switzerland)
May 5, 2022
The use of virtual sensors in vehicles represents a cost-effective alternative to the installation of physical hardware. In addition to physical models resulting from theoretical modeling, artificial intelligence and machine learning approaches are i...
Implementation of Personalized Scenic Spot Recommendation Algorithm Based on Generalized Regression Neural Network for 5G Smart Tourism System.
Computational intelligence and neuroscience
May 5, 2022
On the basis of the analysis of the evolution dynamics and the process of smart tourism service, this paper constructs the evolutionary game model of smart tourism service and reveals the evolution mechanism of smart tourism service based on the netw...
Monitoring Approaches for a Pediatric Chronic Kidney Disease Machine Learning Model.
Applied clinical informatics
May 4, 2022
OBJECTIVE: The purpose of this study is to evaluate the ability of three metrics to monitor for a reduction in performance of a chronic kidney disease (CKD) model deployed at a pediatric hospital.
Sample entropy based prescribed performance control for tailless aircraft.
ISA transactions
May 3, 2022
This paper proposes a sample entropy (SampEn) based prescribed performance controller (SPPC) for the longitudinal control of a supersonic tailless aircraft subject to model uncertainty and nonlinearity. Considering that SampEn can evaluate the system...
A Hybrid Approach for Approximating the Ideal Observer for Joint Signal Detection and Estimation Tasks by Use of Supervised Learning and Markov-Chain Monte Carlo Methods.
IEEE transactions on medical imaging
May 2, 2022
The ideal observer (IO) sets an upper performance limit among all observers and has been advocated for assessing and optimizing imaging systems. For general joint detection and estimation (detection-estimation) tasks, estimation ROC (EROC) analysis h...
Target Convergence Analysis of Cancer-Inspired Swarms for Early Disease Diagnosis and Targeted Collective Therapy.
IEEE transactions on neural networks and learning systems
May 2, 2022
Sensing and perception is generally a challenging aspect of decision-making. In the nanoscale, however, these processes face further complications due to the physical limitations of devising the nanomachines with more limited perception, more noise, ...
How Frequency Injection Locking Can Train Oscillatory Neural Networks to Compute in Phase.
IEEE transactions on neural networks and learning systems
May 2, 2022
Brain-inspired computing employs devices and architectures that emulate biological functions for more adaptive and energy-efficient systems. Oscillatory neural networks (ONNs) are an alternative approach in emulating biological functions of the human...
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