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World Journal of Clinical Pediatrics 2021年第3期10卷 15-28页

作者： mohammed al-Beltagi Department of Pediatrics University Medical CenterKing Abdulla Medical CityArabian Gulf UniversityManama P.O.Box 26671BahrainBahrain Department of Pediatrics Faculty of MedicineTanta UniversityTanta 0000000Al GharbiaEgypt

Medical comorbidities are more common in children with autism spectrum disorders(ASD)than in the general *** genetic disorders are more common in children with ASD such as Fragile X syndrome,Down syndrome,Duchenne muscular dystrophy,neurofibromatosis type I,and tuberous sclerosis *** with autism are also more prone to a variety of neurological disorders,including epilepsy,macrocephaly,hydrocephalus,cerebral palsy,migraine/headaches,and congenital abnormalities of the nervous ***,sleep disorders are a significant problem in individuals with autism,occurring in about 80%of ***(GI)disorders are significantly more common in children with ASD;they occur in 46%to 84%of *** most common GI problems observed in children with ASD are chronic constipation,chronic diarrhoea,gastroesophageal reflux and/or disease,nausea and/or vomiting,flatulence,chronic bloating,abdominal discomfort,ulcers,colitis,inflammatory bowel disease,food intolerance,and/or failure to *** categories of inborn-errors of metabolism have been observed in some patients with autism including mitochondrial disorders,disorders of creatine metabolism,selected amino acid disorders,disorders of folate or B12 metabolism,and selected lysosomal storage disorders.A significant proportion of children with ASD have evidence of persistent neuroinflammation,altered inflammatory responses,and immune ***-brain antibodies may play an important pathoplastic mechanism in *** disorders are significantly more common in individuals with ASD from all age *** influence the development and severity of *** could cause problematic behaviours in at least a significant subset of affected ***,it is important to consider the child with autism as a whole and not overlook possible symptoms as part of *** physician should rule out the presence of a medical condition before moving on to other interventions o

关键词： Autism Children Medical comorbidity Epilepsy Sleep disorders allergy Gastrointestinal diseases

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COVID-19 Automatic Detection Using Deep Learning

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Computer Systems Science & Engineering 2021年第10期39卷 15-35页

作者： Yousef Sanajalwe mohammed Anbar Salam al-E’mari National Advanced IPv6 Centre of Excellence(Nav6) Universiti Sains Malaysia11800 USMPenangMalaysia Computer Science Department Northern Border University(NBU)9280 NBUAr’arthe Kingdom of Saudi Arabia

The novel coronavirus disease 2019(COVID-19)is a pandemic disease that is currently affecting over 200 countries around the world and impacting billions of *** first step to mitigate and control its spread is to identify and isolate the infected ***,because of the lack of reverse transcription polymerase chain reaction(RT-CPR)tests,it is important to discover suspected COVID-19 cases as early as possible,such as by scan analysis and chest X-ray by ***,chest X-ray analysis is relatively time-consuming since it requires more than 15 minutes per *** this paper,an automated novel detection model of COVID-19 cases is proposed to perform real-time detection of COVID-19 *** proposed model consists of three main stages:image segmentation using Harris Hawks optimizer,synthetic image augmentation using an enhanced Wasserstein And Auxiliary Classifier Generative Adversarial Network,and image classification using Conventional Neural *** chest X-ray images datasets are used to train and test the proposed *** demonstrate that the proposed model is very efficient in the automatic detection of COVID-19 positive *** achieved 99.4%accuracy,99.15%precision,99.35%recall,99.25%F-measure,and 98.5%specificity.

关键词： Conventional neural network COVID-19 deep learning enhanced Wasserstein and auxiliary classifier generative adversarial network image classification image segmentation chest x-rays

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An End-to-End Transformer-Based Automatic Speech Recognition for Qur’an Reciters

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Computers, Materials & Continua 2023年第2期74卷 3471-3487页

作者： mohammed Hadwan Hamzah A.alsayadi Salah al-Hagree Department of Information Technology College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Computer Science College of Applied SciencesTaiz UniversityTaiz6803Yemen Computer Science Department Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Computer Science Department Faculty of SciencesIbb UniversityYemen Department of Computer Sciences&Information Ibb UniversityYemen

The attention-based encoder-decoder technique,known as the trans-former,is used to enhance the performance of end-to-end automatic speech recognition(ASR).This research focuses on applying ASR end-toend transformer-based models for the Arabic language,as the researchers’community pays little attention to *** Muslims Holy Qur’an book is written using Arabic diacritized *** this paper,an end-to-end transformer model to building a robust Qur’an *** is *** acoustic model was built using the transformer-based model as deep learning by the PyTorch framework.A multi-head attention mechanism is utilized to represent the encoder and decoder in the acoustic *** filter bank is used for feature *** build a language model(LM),the Recurrent Neural Network(RNN)and Long short-term memory(LSTM)were used to train an n-gram word-based *** a part of this research,a new dataset of Qur’an verses and their associated transcripts were collected and processed for training and evaluating the proposed model,consisting of 10 h *** recitations performed by 60 *** experimental results showed that the proposed end-to-end transformer-based model achieved a significant low character error rate(CER)of 1.98%and a word error rate(WER)of 6.16%.We have achieved state-of-the-art end-to-end transformer-based recognition for Qur’an reciters.

关键词： Attention-based encoder-decoder recurrent neural network long short-term memory qur’an reciters recognition diacritized arabic text

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On the Rayleigh-Plateau instability

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Applied Mathematics(A Journal of Chinese Universities) 2012年第2期27卷 127-138页

作者： ali al Riyabi mohammed Boutat Sad Hilout Laboratoire de Mathématiques Université de PoitiersBoulevard Marie et Pierre CurieTéléport 2BP 3017986962 Futuroscope Chasseneuil cedexFrance

In this paper,we study the surface instability of a cylindrical pore in the absence of *** instability is called the Rayleigh-Plateau *** consider the model developed by Spencer et al.[18],Kirill et al.[10]and Boutat et al.[2]in the case without *** obtain a nonlinear parabolic PDE of order *** show the local existence and uniqueness of the solution of this problem by using Faedo-Galerkin *** main results are the global existence of the solution and the convergence to the mean value of the initial data for long *** tests are also presented in this study.

关键词： parabolic nonlinear partial differential equation initial boundary value problem local solution uniqueness stability.

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An Ensemble Learning Based Approach for Detecting and Tracking COVID19 Rumors

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Computers, Materials & Continua 2022年第1期70卷 1721-1747页

作者： Sultan Noman Qasem mohammed al-Sarem Faisal Saeed Computer Science Department College of Computer and Information SciencesAl Imam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia Computer Science Department Faculty of Applied ScienceTaiz UniversityTaiz6803Yemen College of Computer Science and Engineering Taibah UniversityMedinaSaudi Arabia Information System Department Saba’a Region UniversityMareebYemen

Rumors regarding epidemic diseases such as COVID 19,medicines and treatments,diagnostic methods and public emergencies can have harmful impacts on health and political,social and other aspects of people’s lives,especially during emergency situations and health *** huge amounts of content being posted to social media every second during these situations,it becomes very difficult to detect fake news(rumors)that poses threats to the stability and sustainability of the healthcare sector.A rumor is defined as a statement for which truthfulness has not been *** COVID 19,people found difficulty in obtaining the most truthful news easily because of the huge amount of unverified information on social *** methods have been applied for detecting rumors and tracking their sources for COVID 19-related ***,very few studies have been conducted for this purpose for the Arabic language,which has unique ***,this paper proposes a comprehensive approach which includes two phases:detection and *** the detection phase of the study carried out,several standalone and ensemble machine learning methods were applied on the Arcov-19 dataset.A new detection model was used which combined two models:The Genetic algorithm Based Support Vector Machine(that works on users’and tweets’features)and the stacking ensemble method(that works on tweets’texts).In the tracking phase,several similarity-based techniques were used to obtain the top 1%of similar tweets to a target tweet/post,which helped to find the source of the *** experiments showed interesting results in terms of accuracy,precision,recall and F1-Score for rumor detection(the accuracy reached 92.63%),and showed interesting findings in the tracking phase,in terms of ROUGE L precision,recall and F1-Score for similarity techniques.

关键词： Rumor detection rumor tracking similarity techniques COVID-19 social media analytics

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A Systematic Literature Review of Deep Learning algorithms for Segmentation of the COVID-19 Infection

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Computers, Materials & Continua 2023年第6期75卷 5717-5742页

作者： Shroog alshomrani Muhammad Arif mohammed A.al Ghamdi Department of Computer Science College of Computer and Information SciencesUmm AlQura UniversityMakkah24231Saudi Arabia

Coronavirus has infected more than 753 million people,ranging in severity from one person to another,where more than six million infected people died ***-aided diagnostic(CAD)with artificial intelligence(AI)showed outstanding performance in effectively diagnosing this virus in *** tomography is a complementary diagnostic tool to clarify the damage of COVID-19 in the lungs even before symptoms appear in *** paper conducts a systematic literature review of deep learning methods for classifying the segmentation of COVID-19 infection in the *** used the methodology of systematic reviews and meta-analyses(PRISMA)flow *** research aims to systematically analyze the supervised deep learning methods,open resource datasets,data augmentation methods,and loss functions used for various segment shapes of COVID-19 infection from computerized tomography(CT)chest *** have selected 56 primary studies relevant to the topic of the *** have compared different aspects of the algorithms used to segment infected areas in the CT *** to deep learning in the segmentation of infected areas still need to be developed to predict smaller regions of infection at the beginning of their appearance.

关键词： COVID-19 segmentation chest CT images deep learning systematic review 2D and 3D supervised deep learning

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Pre-autism:What a paediatrician should know about early diagnosis of autism

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World Journal of Clinical Pediatrics 2023年第5期12卷 273-294页

作者： mohammed al-Beltagi Department of Pediatric Faculty of MedicineTanta UniversityTanta 31511AlgahrbiaEgypt Department of Pediatric University Medical CenterKing Abdulla Medical CityArabian Gulf UniversityDr.Sulaiman Al Habib Medical GroupManama 26671ManamaBahrain

Autism,also known as an autism spectrum disorder,is a complex neurodevelopmental disorder usually diagnosed in the first three years of a child's life.A range of symptoms characterizes it and can be diagnosed at any age,including adolescence and ***,early diagnosis is crucial for effective management,prognosis,and ***,there are no established fetal,prenatal,or newborn screening programs for autism,making early detection *** review aims to shed light on the early detection of autism prenatally,natally,and early in life,during a stage we call as“pre-autism”when typical symptoms are not yet *** fetal,neonatal,and infant biomarkers may predict an increased risk of autism in the coming *** developing a biomarker array,we can create an objective diagnostic tool to diagnose and rank the severity of autism for each *** biomarkers could be genetic,immunological,hormonal,metabolic,amino acids,acute phase reactants,neonatal brainstem function biophysical activity,behavioral profile,body measurements,or radiological ***,every biomarker has its accuracy and *** factors can make early detection of autism a real *** improve early detection,we need to overcome various challenges,such as raising community awareness of early signs of autism,improving access to diagnostic tools,reducing the stigma attached to the diagnosis of autism,and addressing various culturally sensitive concepts related to the disorder.

关键词： Autism Pre-autism Biomarkers Autism spectrum disorder Biophysical profile Neurodevelopment Antenatal Neonatal

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Network Quality Assessment in Heterogeneous Wireless Settings: An Optimization Approach

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Computers, Materials & Continua 2022年第4期71卷 439-455页

作者： Sultan H.almotiri mohammed A.al Ghamdi Computer Science Department College of Computer and Information ScienceUmm AlQura UniversityMakkahKingdom of Saudi Arabia

The identification of an effective network which can efficiently meet the service requirements of the target,while maintaining ultimate performance at an increased level is significant and challenging in a fully interconnected wireless *** wrong selection can contribute to unwanted situations like frustrated users,slow service,traffic congestion issues,missed and/or interrupted calls,and wastefulness of precious network *** schemes estimate the handoff need and cause the network screening process by a single *** strategies are not effective enough because traffic characteristics,user expectations,network terminology and other essential device metrics are not taken into *** article describes an intelligent computing technique based on Multiple-Criteria Decision-Making(MCDM)approach developed based on integrated Fuzzy AHP-TOPSIS which ensures flexible usability and maximizes the experience of end-users in miscellaneous wireless *** different components the handover need is assessed and the desired network is ***,fuzzy sets provide effective solutions to address decision making problems where experts counter uncertainty to make a *** proposed research endeavor will support designers and developers to identify,select and prioritize best attributes for ensuring flexible usability in miscellaneous wireless *** results of this research endeavor depict that this proposed computational procedure would be the most conversant mechanism for determining the usability and experience of end-users.

关键词： Wireless sensor networks fuzzy logic AHP-TOPSIS miscellaneous network intelligent computing techniques

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Scan Cell Positioning for Boosting the Compression of Fan-Out Networks

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Journal of Computer Science & Technology 2009年第5期24卷 939-948页

作者： Ozgur Sinanoglu mohammed al-Mulla Noora A.Shunaiber alex Orailoglu Math and Computer Science Department Kuwait University Computer Science and Engineering Department University of CaliforniaSan DiegoLa JollaCA92093 U.S.A.

Ensuring a high manufacturing test quality of an integrated electronic circuit mandates the application of a large volume test set. Even if the test data can be fit into the memory of an external tester, the consequent increase in test application time reflects into elevated production costs. Test data compression solutions have been proposed to address the test time and data volume problem by storing and delivering the test data in a compressed format, and subsequently by expanding the data on-chip. In this paper, we propose a scan cell positioning methodology that accompanies a compression technique in order to boost the compression ratio, and squash the test data even further. While we present the application of the proposed approach in conjunction with the fan-out based decompression architecture, this approach can be extended for application along with other compression solutions as well. The experimental results also confirm the compression enhancement of the proposed methodology.

关键词： scan-based testing test data compression scan cell reordering scan architecture design

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Toward Optimal Cost-Energy Management Green Framework for Sustainable Future Wireless Networks

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Computers, Materials & Continua 2021年第7期68卷 1321-1339页

作者： mohammed H.alsharif Abu Jahid Mahmoud A.albreem Peerapong Uthansakul Jamel Nebhen Khalid yahya Department of Electrical Engineering College of Electronics and Information EngineeringSejong UniversitySeoul05006Korea Department of Electrical and Computer Engineering University of OttawaOttawaK1N 6N5ONCanada Department of Electronics and Communications Engineering A’Sharqiyah UniversityIbra400Oman School of Telecommunication Engineering Suranaree University of TechnologyNakhon RatchasimaThailand College of Computer Engineering and Sciences Prince Sattam bin Abdulaziz UniversityAlkharj11942Saudi Arabia Department of Mechatronics Faculty of Engineering and ArchitectureIstanbul Gelisim UniversityIstanbul34310Turkey

The design of green cellular networking according to the trafc arrivals has the capability to reduce the overall energy consumption to a cluster in a cost-effective *** cell zooming approach has appealed much attention that adaptively ofoads the BS load demands adjusting the transmit power based on the trafc intensity and green energy ***,the researchers are focused on implementing renewable energy resources,which are considered the most attractive practices in designing energy-efcient wireless networks over the long term in a cost-efcient way in the existing *** utilization of available solar can be adapted to acquire cost-effective and reliable power supply to the BSs,especially that sunlight is free,available everywhere,and a good alternative energy option for the remote ***,planning a photovoltaic scheme necessitates viability assessment to avoid poor power supply,particularly for ***,cellular operators need to consider both technical and economic factors before the implementation of solar-powered *** paper proposed the usercentric cell zooming policy of solar-powered cellular base stations taking into account the optimal technical criteria obtained by the HOMER software *** results have shown that the proposed system can provide operational expenditure(OPEX)savings of up to 47%.In addition,the efcient allocation of resource blocks(RBs)under the cell zooming technique attain remarkable energy-saving performance yielding up to 27%.

关键词： Wireless networks beyond 5G green communications sustainability OPEX communication systems

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