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Early Detection of Autism in Children Using Transfer Learning

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Intelligent Automation & Soft Computing 2023年第4期36卷 11-22页

作者： taher M.Ghazal Sundus Munir Sagheer Abbas Atifa Athar Hamza Alrababah Muhammad Adnan Khan School of Information Technology Skyline University CollegeSharjah1797UAE Network and Communication Technology Lab Center for Cyber SecurityFaculty of Information Science and Technology Universiti Kebangsaan Malaysia43600Malaysia School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Lahore Garrison University Lahore54000Pakistan Department of Computer Science COMSATS University Islamabad–Lahore CampusLahore54000Pakistan Department of Software Pattern Recognition and Machine Learning LabGachon UniversitySeongnamGyeonggido13120Korea

Autism spectrum disorder(ASD)is a challenging and complex neurodevelopment syndrome that affects the child’s language,speech,social skills,communication skills,and logical thinking *** early detection of ASD is essential for delivering effective,timely *** facial features such as a lack of eye contact,showing uncommon hand or body movements,bab-bling or talking in an unusual tone,and not using common gestures could be used to detect and classify ASD at an early *** study aimed to develop a deep transfer learning model to facilitate the early detection of ASD based on facial fea-tures.A dataset of facial images of autistic and non-autistic children was collected from the Kaggle data repository and was used to develop the transfer learning AlexNet(ASDDTLA)*** model achieved a detection accuracy of 87.7%and performed better than other established ASD detection ***,this model could facilitate the early detection of ASD in clinical practice.

关键词： Autism spectrum disorder convolutional neural network loss rate transfer learning AlexNet deep learning

IoMT-Based Healthcare Framework for Ambient Assisted Living Using a Convolutional Neural Network

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Computers, Materials & Continua 2023年第3期74卷 6867-6878页

作者： Waleed T.Al-Sit Nidal A.Al-Dmour taher M.Ghazal Ghassan F.Issa Department of Computer Engineering Mutah UniversityAl-KarakJordanHigher Colleges of TechnologyDubaiUAE Department of Computer Engineering College of EngineeringMutah UniversityJordan School of Information Technology Skyline University CollegeUniversity City SharjahSharjahUAE Center for Cyber Security Faculty of Information Science and TechnologyUKM43600BangiSelangorMalaysia

In the age of universal computing,human life is becoming smarter owing to the recent developments in the Internet of Medical Things(IoMT),wearable sensors,and telecommunication innovations,which provide more effective and smarter healthcare *** has the potential to shape the future of clinical research in the healthcare *** sensors,patients,healthcare providers,and caregivers can connect through an IoMT network using software,information,and communication *** assisted living(AAL)allows the incorporation of emerging innovations into the routine life events of *** learning(ML)teaches machines to learn from human experiences and to use computer algorithms to“learn”information directly instead of relying on a *** the sample size accessible for learning increases,the performance of the algorithms *** paper proposes a novel IoMT-enabled smart healthcare framework for AAL to monitor the physical actions of patients using a convolutional neural network(CNN)algorithm for fast analysis,improved decision-making,and enhanced treatment *** simulation results showed that the prediction accuracy of the proposed framework is higher than those of previously published approaches.

关键词： Smart healthcare system neural network machine learning

One-pot five-component synthesis of highly functionalized piperidines using oxalic acid dihydrate as a homogenous catalyst

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Chinese Chemical Letters 2012年第5期23卷 569-572页

作者： Seyed Sajad Sajadikhah Malek taher Maghsoodlou Nourallah Hazeri Sayyed Mostafa Habibi-Khorassani Anthony C.Willis Department of Chemistry The University of Sistan and BaluchestanP.O.Box 98135-674ZahedanIran Research School of Chemistry The Australian National UniversityCanberraACT 0200Australia

An efficient green protocol is described for the preparation of highly functionalized piperidines via a one-pot five-component reaction between aromatic aldehydes,anilines andβ-ketoesters in the presence of oxalic acid dihydrate as catalyst in ethanol at ambient *** structure as well as the relative stereochemistry of these compounds was confirmed by single X-ray crystallographic analysis.

关键词： Piperidine Heterocycle Homogeneous catalyst Oxalic acid dihydrate Multi-component reaction

IoMT-Enabled Fusion-Based Model to Predict Posture for Smart Healthcare Systems

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Computers, Materials & Continua 2022年第5期71卷 2579-2597页

作者： taher M.Ghazal Mohammad Kamrul Hasan Siti Norul Huda Abdullah Khairul Azmi Abubakkar Mohammed A.M.Afifi Faculty of Information Science and Technology University Kebangsaan MalaysiaUKM43600SelangorMalaysia Skyline University College SharjahUnited Arab Emirates

Smart healthcare applications depend on data from wearable sensors(WSs)mounted on a patient’s body for frequent monitoring *** systems depend on multi-level data for detecting illnesses and consequently delivering correct diagnostic *** collection of WS data and integration of that data for diagnostic purposes is a difficult *** paper proposes an Errorless Data Fusion(EDF)approach to increase posture recognition *** research is based on a case study in a health *** the rise in smart healthcare systems,WS data fusion necessitates careful attention to provide sensitive analysis of the recognized *** a result,it is dependent on WS inputs and performs group analysis at a similar rate to improve diagnostic *** breakdowns,the constant time factor,aggregation,and analysis results all cause errors,resulting in rejected or incorrect *** paper resolves this problem by using EDF,which is related to patient situational discovery through healthcare surveillance *** of WS data are examined extensively using active and iterative learning to identify errors in specific *** technology improves position detection accuracy,analysis duration,and error rate,regardless of user *** devices play a critical role in the management and treatment of *** can ensure that patients are provided with a unique treatment for their medical *** paper discusses the EDF technique for optimizing posture identification accuracy through multi-feature *** first,the patients’walking patterns are tracked at various time *** characteristics are then evaluated in relation to the stored data using a random forest classifier.

关键词： Data fusion(DF) posture recognition healthcare systems(HCS) wearable sensor(WS) medical data errorless data fusion(EDF)

A global overview of the most important zoonotic bacteria pathogens transmitted from Rattus norvegicus to humans in urban environments

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Infectious Medicine 2022年第3期1卷 192-207页

作者： Sahar Sabour taher Azimi Ahmad Nasser Nahal Hadi Amin Mohsenzadeh Aref Shariati Department of Microbiology Faculty of MedicineAhvaz Jundishapur University of Medical SciencesAhvazIran Department of Bacteriology&Virology School of MedicineShiraz University of Medical ScienceShirazIran Department of Pathobiology School of Public HealthTehran University of Medical SciencesTehranIran Department of Microbiology Ardabil BranchIslamic Azad UniversityArdabilIran Molecular and medicine research center Khomein University of Medical SciencesKhomeinIran

Zoonotic pathogens,comprising over 61%of all pathogenic microorganisms,can be transmitted from different animals to individuals in numerous ways either in the presence or the absence of a *** new emerging human infectious diseases,these pathogens could be categorized into 4 groups,bacteria,viruses,parasites,and *** the wide range of reservoirs for zoonotic pathogens,tremendous attention has been attracted to wild rats,due to their global distribution not only in urban environments but also in the sylvatic and agricultural *** the nonce,zoonotic bacteria transmitted via wild rats have turned into a global public health problem probably due to their ability to induce re-emerging diseases even after eradication and controlling *** the importance of wild rats in spreading pathogens,little data are available about the bacterial diversity present in urban wild rat *** this review,we present a complete list of zoonotic bacterial pathogens isolated from wild rats in urban environments.

关键词： Zoonosis Bacterial diseases Zoonotic diseases Wild rats Rattus rattus

Integration of Sequence Stratigraphic Analysis and 3D Geostatistical Modeling of Pliocene–Pleistocene Delta,F3 Block,Netherlands

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Acta Geologica Sinica(English Edition) 2023年第1期97卷 256-268页

作者： Haris Ahmed KHAN Ali Asghar SHAHID Muhammad Jahangir KHAN taher ZOUAGHI Maria Dolores ALVAREZ Syed Danial Mehdi NAQVI Hydrocarbon Development Institute of Pakistan Plot#18Street#6H-9/1IslamabadPakistan Department of Geoscience University of OsloSem Sælands vei 10371 OsloNorway Department of Earth and Environmental Sciences Bahria UniversityKarachi Campus13 National Stadium RoadKarachi-75260Pakistan Department of Geoexploration Faculty of Earth SciencesKing Abdulaziz University21589 JeddahSaudi Arabia Laboratoire de Géoressources CERTEPôle Technologique de Borj Cédria8020 SolimanTunisia Argentina's Geological and Mining Survey Aveneida General Paz 5445Edificio 25INTIGeneral San MartinArgentina

This research is focused on the analysis of the sequence stratigraphic units of F3 Block,within a wave-dominated delta of Plio–Pleistocene *** wells of F3 block and a 3D seismic data,are utilized in this *** conventional techniques of 3D seismic interpretation were utilized to mark the 11 surfaces on the seismic *** of seismic sequence stratigraphic interpretation,using well logs,and subsequent 3D geostatistical modeling,using seismic data,aided to evaluate the shallow hydrocarbon *** resulting models were obtained using System Tract and Facies models,which were generated by using sequential stimulation method and their variograms made by spherical method,moreover,these models are validated via *** CDF curve generated from upscaling of well logs using geometric method,shows a good relation with less percentage of errors(1 to 2 for Facies and 3 to 4 for System Tract models)between upscaled and raw data that complements the resulted *** approaches help us to delineate the best possible reservoir,lateral extent of system tracts(LST and/or HST)in the respective surface,and distribution of sand and shale in the *** clinoform break points alteration observed on seismic sections,also validates the sequence stratigraphic *** GR log-based Facies model and sequence stratigraphy-based System Tract model of SU-04-2 showed the reservoir characteristics,presence of sand bodies and majorly LST,respectively,mainly adjacent to the main fault of the studied ***,on the seismic section,SU-04-2 exhibits the presence of gas pockets at the same location that also complements the generated Facies and System Tract *** generated models can be utilized for any similar kind of study and for the further research in the F3 block reservoir characterization.

关键词： sequence stratigraphy facies modeling system tract modeling F3 block North Sea

Automated diagnosis and staging of Fuchs' endothelial corneal dystrophy using deep learning

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Eye and Vision 2023年第2期9卷 1-11页

作者： taher Eleiwa Amr Elsawy Eyup Ozcan Mohamed Abou Shousha Bascom Palmer Eye Institute Miller School of MedicineUniversity of MiamiMiamiFlorida 33136USA Department of Ophthalmology Faculty of MedicineBenha UniversityBenhaEgypt Electrical and Computer Engineering University of MiamiCoral GablesFloridaUSA Net Eye Medical Center GaziantepTurkey Biomedical Engineering University of MiamiCoral GablesFloridaUSA.

Background:To describe the diagnostic performance of a deep learning algorithm in discriminating early-stage Fuchs'endothelial corneal dystrophy(FECD)without clinically evident corneal edema from healthy and late-stage FECD eyes using high-definition optical coherence tomography(HD-OCT).Methods:In this observational case-control study,104 eyes(53 FECD eyes and 51 healthy controls)received HDOCT imaging(Envisu R2210,Bioptigen,Buffalo Grove,IL,USA)using a 6 mm radial scan pattern centered on the corneal *** was clinically categorized into early(without corneal edema)and late stage(with corneal edema).A total of 18,720 anterior segment optical coherence tomography(AS-OCT)images(9180 healthy;5400 early-stage FECD;4140 late-stage FECD)of 104 eyes(81 patients)were used to develop and validate a deep learning classification network to differentiate early-stage FECD eyes from healthy eyes and those with clinical *** 5-fold cross-validation on the dataset containing 11,340 OCT images(63 eyes),the network was trained with 80%of these images(3420 healthy;3060 early-stage FECD;2700 late-stage FECD),then tested with 20%(720 healthy;720 early-stage FECD;720 late-stage FECD).Thereafter,a final model was trained with the entire dataset consisting the 11,340 images and validated with a remaining 7380 images of unseen AS-0CT scans of 41 eyes(5040 healthy;1620 early-stage FECD 720 late-stage FECD).Visualization of learned features was done,and area under curve(AUC),specificity,and sensitivity of the prediction outputs for healthy,early and late-stage FECD were ***:The final model achieved an AUC of 0.997±0.005 with 91%sensitivity and 97%specificity in detecting early-stage FECD;an AUC of 0.974±0.005 with a specificity of 92%and a sensitivity up to 100%in detecting late-stage FECD;and an AUC of 0.998±0.001 with a specificity 98%and a sensitivity of 99%in discriminating healthycorneas fromall ***:Deep learning algorithm is an accurate autonomous

关键词： Optical coherence tomography Descemet's membrane Comeal endothelium Fuchs endothelial dystrophy

Optimizing Resource Allocation Framework for Multi-Cloud Environment

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Computers, Materials & Continua 2023年第5期75卷 4119-4136页

作者： Tahir Alyas taher M.Ghazal Badria Sulaiman Alfurhood Ghassan F.Issa Osama Ali Thawabeh Qaiser Abbas Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan School of Information Technology Skyline University CollegeUniversity City Sharjah1797SharjahUAE Center for Cyber Security Faculty of Information Science and TechnologyUniversiti Kebansaan Malaysia(UKM)43600BangiSelangorMalaysia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11564Saudi Arabia Skyline University College University City Sharjah1797SharjahUAE Faculty of Computer and Information Systems Islamic University of Madinah Madinah42351Saudi Arabia

Cloud computingmakes dynamic resource provisioning more *** a functioning service is crucial,and changes are made when particular criteria are *** research explores the decentralized multi-cloud environment for allocating resources and ensuring the Quality of Service(QoS),estimating the required resources,and modifying allotted resources depending on workload and parallelism due to *** allocation is a complex challenge due to the versatile service providers and resource *** engagement of different service and resource providers needs a cooperation strategy for a sustainable quality of *** objective of a coherent and rational resource allocation is to attain the quality of *** also includes identifying critical parameters to develop a resource allocation mechanism.A framework is proposed based on the specified parameters to formulate a resource allocation process in a decentralized multi-cloud *** three main parameters of the proposed framework are data accessibility,optimization,and *** an optimization technique,these three segments are further divided into subsets for resource allocation and long-term service *** CloudSim simulator has been used to validate the suggested *** experiments have been conducted to find the best configurations suited for enhancing collaboration and resource allocation to achieve sustained *** results support the suggested structure for a decentralized multi-cloud environment and the parameters that have been determined.

关键词： Multi-cloud query optimization cloud resources allocation modelling virtualization

Performance Framework for Virtual Machine Migration in Cloud Computing

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Computers, Materials & Continua 2023年第3期74卷 6289-6305页

作者： Tahir Alyas taher M.Ghazal Badria Sulaiman Alfurhood Munir Ahmad Ossma Ali Thawabeh Khalid Alissa Qaiser Abbas Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan School of Information Technology Skyline University CollegeUniversity City SharjahSharjah1797UAE Center for Cyber Security Faculty of Information Science and TechnologyUniversiti Kebansaan Malaysia(UKM)Bangi43600SelangorMalaysia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversitySaudi Arabia School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Dean of Student Affairs Skyline University CollegeUniversity City SharjahSharjah1797UAE Networks and Communications Department College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia Faculty of Computer and Information Systems Islamic University Madinah Madinah42351Saudi Arabia

In the cloud environment,the transfer of data from one cloud server to another cloud server is called *** can be delivered in various ways,from one data centre to *** research aims to increase the migration performance of the virtual machine(VM)in the cloud *** allow cloud customers to store essential data and ***,server usage has grown dramatically due to the virtualization of computer systems,resulting in higher data centre power consumption,storage needs,and operating *** VMs on one data centre manage share resources like central processing unit(CPU)cache,network bandwidth,memory,and application ***-cloud,VMmigration addresses the performance degradation due to cloud server configuration,unbalanced traffic load,resource load management,and fault situations during data *** speed is influenced by the size of the VM,the dirty rate of the running application,and the latency ofmigration *** a result,evaluating VM migration performance while considering all of these factors becomes a difficult *** effort of this research is to assess migration problems on *** simulation results in Matlab show that if the VMsize grows,themigration time of VMs and the downtime can be impacted by three orders *** dirty page rate decreases,themigration time and the downtime grow,and the latency time decreases as network bandwidth increases during the migration time and post-migration overhead calculation when the VMtransfer is *** the simulated cases of VMs migration were performed in a fuzzy inference system with performance graphs.

关键词： Latency cloud computing dirty page ratio storage migration performance