The study explored the impact of regularization on achieved resolution in 3D restorations using the MBPC iterative algorithm and the TSIM system, at different noise levels. Results indicate significant resolution enha...
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Ice thermal energy storage (ITES) is a type of cooling thermal energy storage. It can shift the daytime peak cooling load to nighttime, thereby enhancing the economic benefit of the cooling system and enabling peak lo...
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With the increasing threat presented by climate change, forest fires are becoming more destructive and frequent. These catastrophes present immense danger to our forest ecosystems, infrastructure, and overall health. ...
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We investigated the use of Plug-and-Play methods in structured illumination microscopy using a 2D-processing approach and information from multiple 2D defocused PSFs. The achieved resolution in results from noisy simu...
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Purpose-Parkinson’s disease(PD)is a well-known complex neurodegenerative ***,its identification is based on motor disorders,while the computer estimation of its main symptoms with computational machine learning(ML)ha...
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Purpose-Parkinson’s disease(PD)is a well-known complex neurodegenerative ***,its identification is based on motor disorders,while the computer estimation of its main symptoms with computational machine learning(ML)has a high exposure which is supported by researches ***,ML approaches required first to refine their parameters and then to work with the best model *** process often requires an expert user to oversee the performance of the ***,an attention is required towards new approaches for better forecasting ***/methodology/approach-To provide an available identification model for Parkinson disease as an auxiliary function for clinicians,the authors suggest a new evolutionary classification *** core of the prediction model is a fast learning network(FLN)optimized by a genetic algorithm(GA).To get a better subset of features and parameters,a new coding architecture is introduced to improve GA for obtaining an optimal FLN ***-The proposed model is intensively evaluated through a series of experiments based on Speech and HandPD benchmark *** very popular wrappers induction models such as support vector machine(SVM),K-nearest neighbors(KNN)have been tested in the same *** results support that the proposed model can achieve the best performances in terms of accuracy and ***/value-A novel efficient PD detectionmodel is proposed,which is called *** A-W-FLN utilizes FLN as the base classifier;in order to take its higher generalization ability,and identification capability is alsoembedded to discover themost suitable featuremodel in the detection ***,the proposedmethod automatically optimizes the FLN’s architecture to a smaller number of hidden nodes and solid connecting *** helps the network to train on complex PD datasets with non-linear features and yields superior result.
This paper studies the control method of multiport railway power conditioner (RPC) for power quality regulation and renewable energy integration in cophase railway power system. The circuit topology, operating princip...
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The recent proliferation of distributed energy resources (DERs) in the power network along with the retirement of conventional generators has made it challenging to regulate system frequency. This paper presents a cen...
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This study investigates lightning current waveform effects on the fast-front overvoltages and critical currents that cause backflashover of the insulation of a 150 kV overhead line by means of ATP-EMTP simulations, co...
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