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The Role of Deep Learning in Parking Space Identification and Prediction Systems

Computers, Materials & Continua 2023年第4期75卷 761-784页

作者： Faizan Rasheed yasir saleem Kok-Lim Alvin Yau Yung-Wey Chong Sye Loong Keoh School of Physics Engineering and Computer ScienceUniversity of HertfordshireHatfieldAL109ABUK Department of Computer Science Aberystwyth UniversityAberystwyth SY233FLUK Lee Kong Chian Faculty of Engineering and Science Universiti Tunku Abdul RahmanKajang43200SelangorMalaysia National Advanced IPv6 Centre(NAv6) Universiti Sains MalaysiaPenang11800Malaysia School of Computing Science University of Glasgow Singapore737729Singapore

In today’s smart city transportation,traffic congestion is a vexing issue,and vehicles seeking parking spaces have been identified as one of the causes leading to approximately 40%of traffic *** parking spaces alone is insufficient because an identified available parking space may have been taken by another vehicle when it arrives,resulting in the driver’s frustration and aggravating traffic jams while searching for another parking *** explains the need to predict the availability of parking ***,deep learning(DL)has been shown to facilitate drivers to find parking spaces efficiently,leading to a promising performance enhancement in parking identification and prediction ***,no work reviews DL approaches applied to solve parking identification and prediction *** by this gap,the purpose of this work is to investigate,highlight,and report on recent advances inDLapproaches applied to predict and identify the availability of parking *** of DL-based parking identification and prediction systems is established as a methodology by classifying and categorizing existing literature,and by doing so,the salient and supportive features of different DL techniques for providing parking solutions are ***,several open research challenges are *** work identifies that there are various DL architectures,datasets,and performance measures used to address parking identification and prediction ***,there are some open-source implementations available that can be used directly either to extend existing works or explore a new *** is the first short survey article that focuses on the use of DL-based techniques in parking identification and prediction systems for smart *** study concludes that although the deployment of DL in parking identification and prediction systems provides various benefits,the convergence of these two types of systems and DL brings about new i

关键词： Convolutional neural network deep learning neural networks parking identification parking prediction smart city

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Insight into the phytochemical, biological, and in silico studies of Erythrina suberosa roxb.: A source of novel therapeutic bioactive products from a medicinal plant

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Food Bioscience 2023年第2期52卷 1421-1432页

作者： Abdulhakeem S.Alamri Hammad saleem Irfan Pervaiz Umair Khurshid Juwairiya Butt Tahir Ali Chohan Majid Alhomrani Marcello Locatelli Syafiq Asnawi Zainal Abidin yasir Nasser H Alqahtani Kannan RRRengasamy Mohamad Fawzi Mahomoodally Department of Clinical Laboratory Sciences The Faculty of Applied Medical SciencesTaif UniversityTaifSaudi Arabia Centre of Biomedical Sciences Research(CBSR) Deanship of Scientific ResearchTaif UniversitySaudi Arabia Institute of Pharmaceutical Sciences(IPS) University of Veterinary&Animal Sciences(UVAS)LahorePakistan KITAAS Khaldunia College of PharmacyLahorePakistan Department of Pharmaceutical Chemistry Faculty of PharmacyThe Islamia University of Bahawalpur63100Pakistan School of Life Sciences University of Westminster115 New Cavendish StreetLondonW1W 6UWUK Department of Pharmacy University‘G.d’Annunzio of Chieti-Pescara66100ChietiItaly Jeffrey Cheah School of Medicine and Health Sciences Monash University MalaysiaJalan Lagoon Selatan47500Bandar SunwaySelangor Darul EhsanMalaysia MOI Clinics Security Forces HospitalRiyadhSaudi Arabia Laboratory of Natural Products and Medicinal Chemistry(LNPMC) Department of PharmacologySaveetha Dental CollegeSaveetha Institute of Medical and Technical Sciences(SIMATS)Chennai600077India Department of Health Sciences Faculty of Medicine and Health SciencesUniversity of MauritiusR´eduit80837Mauritius Centre of Excellence for Pharmaceutical Sciences North-West UniversityPrivate Bag X6001Potchefstroom2520South Africa

Background:Erythrina suberosa(***)*** known as corky coral tree is used as a folklore medicine to treat ulcers and *** study explored the phytochemical profiles of methanol and dichloromethane(DCM)extracts from the aerial,root,and flower parts of ***:Total bioactive contents,high-performance liquid chromatography array(HPLC-PDA)polyphenolic quantification,and ultra-high performance liquid chromatography-mass spectrometry(UHPLC-MS)analysis were used to evaluate the phytochemical *** potential was evaluated by determining their antioxidant(DPPH,ABTS,FRAP,CUPRAC,Phosphomolybdenum,and metal chelating)and enzyme inhibitory(cholinesterase,amylase,glucosidase,and tyrosinase)***:The phenolic(46.26 mg GAE/g extract)and flavonoid(32.46 mg QE/g extract)contents were found to be highest in the methanolic extract of roots(EsR-M).HPLC-PDA analysis determined the presence of numerous bioactive compounds,including catechin,syringic acid,p-hydroxy benzoic acid,gallic acid,vanillic acid,epicatechin,rutin,chlorogenic acid,carvacrol,sinapinic acid,and naringenin in considerable amounts.A total of 143 phytochemicals,belonging to phenolic,flavonoid,coumarin,terpenoid,chalcone,saponin,and glycoside classes,were tentatively identified by UHPLC-MS *** methanolic extract(EsA-M)exhibited highest radical scavenging(DPPH 86.81 mgTE/g extract,ABTS 245.17 mgTE/g extract)as well as reducing potential(FRAP 177.12 mgTE/g extract,CUPRAC 177.12 mgTE/g extract).Likewise,it was also noted to be most active for BChE(5.70 mg GALAE/g extract)and tyrosinase inhibition(148.35 mg KAE/g extract).While,roots-DCM extract(EsR-D)presented considerable inhibition for AChE(4.69 mg GALAE/g extract)and amylase(0.81 mmol ACAE/g extract)***,davallioside A,and isovitexin were docked to tyrosinase to depict possible ***:This study has established baseline data on the biological and phytochemical profile of ***

关键词： Erythrina suberosa HPLC-PDA UHPLC-MS Antioxidant Enzyme inhibition Natural products

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