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Lightweight fault diagnosis method in embedded system based on knowledge distillation
Deep learning (DL) has garnered attention in mechanical device health management for its ability to accurately identify faults and predict component...
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An Efficient FrWT and IPCA Tools for an Automated Healthcare CAD System
Continuous monitoring of physiological parameters is critical in order to minimize casualties, therefore automated healthcare computer-assisted...
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Scikit-ANFIS: A Scikit-Learn Compatible Python Implementation for Adaptive Neuro-Fuzzy Inference System
The Adaptative neuro-fuzzy inference system (ANFIS) has shown great potential in processing practical data from control, prediction, and inference...
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Resilient neural network-based control of nonlinear heterogeneous multi-agent systems: a cyber-physical system approach
Resilient control and cyber security are of great importance for multiagent systems (MASs) due to the vulnerability during their coordination through...
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Optimizing longitudinal control model parameters of connected and automated vehicles using empirical trajectory data of human drivers in risky car-following scenarios
Connected and automated vehicles (CAVs) have great potential to improve driving safety. A basic performance evaluation criterion of CAVs is whether...
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Hydrate-Based Hydrogen Storage and Transportation System: Energy, Exergy, Economic Analysis
With the rapid depletion of non-renewable fossil fuels that produce greenhouse gas, hydrogen is poised to emerge as a leading clean energy source in...
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Drug-based recommendation system based on deep learning approach for data optimization
In the current training, Artificial Neural Network (ANN) is utilized, which tuned by Particle Swarm Optimization (PSO) to the challenge of predicting...
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Waste-to-energy plant evaluation of combustion stability using an automatic crane system with AI-based waste identification
Waste-to-energy facilities play a major role in realizing volume reduction and stabilization of organic waste, as well as energy recovery and...
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Power system resilience quantification and enhancement strategy for real-time operation
The increased occurrence of extreme weather events worldwide has changed the way power system reliability is determined. The effect of high intensity...
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The prediction of surface roughness and tool vibration by using metaheuristic-based ANFIS during dry turning of Al alloy (AA6013)
In this article, the adaptive neuro-based fuzzy inference system (ANFIS) model is developed to estimate the surface roughness (Ra) and tool...
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Robust dimensionality-reduced epilepsy detection system using EEG wavelet packets and machine learning
PurposeIn response to the challenges in epileptic seizure detection arising from the high dimensionality of EEG signals and the localization of the...
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Inference of a Gene Regulatory Network by Applying OMOPSO to the S-System and the Half-System
Various approaches are used to reconstruct gene regulatory networks from gene expression data. This work applies a multi-objective particle swarm...
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A Modified Reference Signal Selection Method for Feed-Forward Active Road Noise Control System
Active control of road noise has been widely recognized as a promising technology. For a feed-forward active road noise control system, the proper...
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Building an Efficient Retriever System with Limited Resources
Despite significant advancements in Question-Answering (QA) systems based on Large Languge Models (LLMs), the issue of generating imprecise answers...
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Early diagnosis of respiratory system diseases (RSD) using deep convolutional neural networks
The evaluation of respiratory system disorders and their classification has been to be one of the most significant investigated topics in recent...
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Remote Breast Cancer Patient Monitoring System: An Extensive Review
The healthcare domain is one of the fastest-growing fields for the Internet of Things and Artificial Intelligence. The advancement of medical...
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Human motion tracking and system design for dance choreography teaching based on deep learning
This paper studies the dynamic multi-path environment, mainly solves the problems of poor data transmission and high image recognition error in the...
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Numerical analysis of performance of an annular centrifugal contactor for separation of two liquids
The annular centrifugal contactor (ACC) is a vital element in liquid-liquid separation processes. However, despite its advancements, the flow...