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Posture Detection of Heart Disease Using Multi-Head Attention Vision Hybrid(MHAVH)Model

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Computers, Materials & Continua 2024年第5期79卷 2673-2696页

作者： Hina Naz Zuping Zhang mohammed Al-Habib Fuad A.Awwad Emad A.A.Ismail Zaid ali Khan School of Computer Science and Engineering Central South UniversityChangsha410003China Department of Quantitative analysis College of Business AdministrationKing Saud UniversityP.O.Box 71115Riyadh11587Saudi Arabia Electrical and Computer Engineering University of VictoriaVictoriaV9A1B8Canada

Cardiovascular disease is the leading cause of death *** disease causes loss of heart muscles and is also responsible for the death of heart cells,sometimes damaging their functionality.A person’s life may depend on receiving timely assistance as soon as ***,minimizing the death ratio can be achieved by early detection of heart attack(HA)*** the United States alone,an estimated 610,000 people die fromheart attacks each year,accounting for one in every four ***,by identifying and reporting heart attack symptoms early on,it is possible to reduce damage and save many lives *** objective is to devise an algorithm aimed at helping individuals,particularly elderly individuals living independently,to safeguard their *** address these challenges,we employ deep learning *** have utilized a vision transformer(ViT)to address this ***,it has a significant overhead cost due to its memory consumption and computational complexity because of scaling dot-product ***,since transformer performance typically relies on large-scale or adequate data,adapting ViT for smaller datasets is more *** response,we propose a three-in-one steam model,theMulti-Head Attention Vision Hybrid(MHAVH).Thismodel integrates a real-time posture recognition framework to identify chest pain postures indicative of heart attacks using transfer learning techniques,such as ResNet-50 and VGG-16,renowned for their robust feature extraction *** incorporatingmultiple heads into the vision transformer to generate additional metrics and enhance heart-detection capabilities,we leverage a 2019 posture-based dataset comprising RGB images,a novel creation by the author that marks the first dataset tailored for posture-based heart attack *** the limited online data availability,we segmented this dataset into gender categories(male and female)and conducted testing on both segmented and original dat

关键词： Image analysis posture of heart attack(PHA)detection hybrid features VGG-16 ResNet-50 vision transformer advance multi-head attention layer

The User Analysis of Amazon Using Artificial Intelligence at Customer Churn

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Journal of Data Analysis and Information Processing 2024年第1期12卷 40-48页

作者： mohammed ali Alzahrani Information Technology Department Computing and ICT Faculty Taif University Taif Saudi Arabia

Customer churns remains a key focus in this research, using artificial intelligence-based technique of machine learning. Research is based on the feature-based analysis four main features were used that are selected on the basis of our customer churn to deduct the meaning full analysis of the data set. Data-set is taken from the Kaggle that is about the fine food review having more than half a million records in it. This research remains on feature based analysis that is further concluded using confusion matrix. In this research we are using confusion matrix to conclude the customer churn results. Such specific analysis helps e-commerce business for real time growth in their specific products focusing more sales and to analyze which product is getting outage. Moreover, after applying the techniques, Support Vector Machine and K-Nearest Neighbour perform better than the random forest in this particular scenario. Using confusion matrix for obtaining the results three things are obtained that are precision, recall and accuracy. The result explains feature-based analysis on fine food reviews, Amazon at customer churn Support Vector Machine performed better as in overall comparison.

关键词： Customer Churn Machine Learning Amazon Fine Food Reviews Data Science Artificial Intelligence

Experimental and computational study of annealed nickel sulfide quantum dots for catalytic and antibacterial activity

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Nano Materials Science 2024年第3期6卷 355-364页

作者： Muhammad Ikram Sawaira Moeen ali Haider Anwar Ul-Hamid Haya Alhummiany Hamoud H.Somaily Souraya Goumri-Said mohammed Benali Kanoun Solar Cell Applications Research Lab Department of PhysicsGovernment College University LahoreLahore54000PunjabPakistan Department of Clinical Sciences Faculty of Veterinary and Animal SciencesMuhammad Nawaz ShareefUniversity of Agriculture66000MultanPunjabPakistan Core Research Facilities King Fahd University of Petroleum&MineralsDhahran31261Saudi Arabia Department of Physics Faculty of ScienceUniversity of JeddahP.O.Box 13151Jeddah21493Saudi Arabia Department of Physics Faculty of ScienceKing Khalid UniversityP.O.Box 9004AbhaSaudi Arabia Physics Department College of Science and General StudiesAlfaisal UniversityP.O.Box 50927Riyadh11533Saudi Arabia Department of Mathematics and Sciences College of Humanities and SciencesPrince Sultan UniversityP.O.Box 66833Riyadh11586Saudi Arabia

This research investigates the hydrothermal synthesis and annealing duration effects on nickel sulfide(NiS_(2) quantum dots(QDs)for catalytic decolorization of methylene blue(MB)dye and antimicrobial *** size increased with longer annealing,reducing catalytic ***–vis,XRD,TEM,and FTIR analyses probed optical structural,morphological,and vibrational *** confirmed NiS2's anorthic structure,with crystallite size growing from 6.53 to 7.81 nm during extended ***–Vis exhibited a bathochromic shift,reflecting reduced band gap energy(Eg)in NiS_(2).TEM revealed NiS_(2)QD formation,with agglomerated QD average size increasing from 7.13 to 9.65 nm with prolonged *** NiS_(2) showed significant MB decolorization(89.85%)in acidic *** NiS_(2) QDs demonstrated notable antibacterial activity,yielding a 6.15mm inhibition zone against Escherichia coli(***)compared to ***-principles computation supported a robust interaction between MB and NiS_(2),evidenced by obtained adsorption *** study highlights the nuanced relationship between annealing duration,structural changes,and functional properties in NiS_(2)QDs,emphasizing their potential applications in catalysis and antibacterial interventions.

关键词： NiS_(2) antibacterial quantum dots dye degradation DFT

A gated recurrent unit model to predict Poisson’s ratio using deep learning

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第1期16卷 123-135页

作者： Fahd Saeed Alakbari Mysara Eissa Mohyaldinn mohammed Abdalla Ayoub Ibnelwaleed A.Hussein ali Samer Muhsan Syahrir Ridha Abdullah Abduljabbar Salih Petroleum Engineering Department Universiti Teknologi PETRONAS32610Bandar Seri IskandarPerakMalaysia Institute of Hydrocarbon Recovery Universiti Teknologi PETRONAS32610Bandar Seri IskandarPerakMalaysia Gas Processing Center College of EngineeringQatar UniversityP.O.Box 2713DohaQatar Department of Chemical Engineering College of EngineeringQatar UniversityP.O.Box 2713DohaQatar Mechanical Engineering Department Universiti Teknologi PETRONAS32610Bandar Seri IskandarPerakMalaysia

Static Poisson’s ratio(vs)is crucial for determining geomechanical properties in petroleum applications,namely sand *** models have been used to predict vs;however,the published models were limited to specific data ranges with an average absolute percentage relative error(AAPRE)of more than 10%.The published gated recurrent unit(GRU)models do not consider trend analysis to show physical *** this study,we aim to develop a GRU model using trend analysis and three inputs for predicting n s based on a broad range of data,n s(value of 0.1627-0.4492),bulk formation density(RHOB)(0.315-2.994 g/mL),compressional time(DTc)(44.43-186.9 μs/ft),and shear time(DTs)(72.9-341.2μ s/ft).The GRU model was evaluated using different approaches,including statistical error *** GRU model showed the proper trends,and the model data ranges were wider than previous *** GRU model has the largest correlation coefficient(R)of 0.967 and the lowest AAPRE,average percent relative error(APRE),root mean square error(RMSE),and standard deviation(SD)of 3.228%,1.054%,4.389,and 0.013,respectively,compared to other *** GRU model has a high accuracy for the different datasets:training,validation,testing,and the whole datasets with R and AAPRE values were 0.981 and 2.601%,0.966 and 3.274%,0.967 and 3.228%,and 0.977 and 2.861%,*** group error analyses of all inputs show that the GRU model has less than 5% AAPRE for all input ranges,which is superior to other models that have different AAPRE values of more than 10% at various ranges of inputs.

关键词： Static Poisson’s ratio Deep learning Gated recurrent unit(GRU) Sand control Trend analysis Geomechanical properties

Development of a Novel Noise Reduction Algorithm for Smart Checkout RFID System in Retail Stores

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Computers, Materials & Continua 2024年第7期80卷 1277-1304页

作者： Shazielya Shamsul mohammed A.H.ali Salwa Hanim Abdul-Rashid Atef M.Ghaleb Fahad M.Alqahtani Department of Mechanical Engineering Faculty of EngineeringUniversiti MalayaKuala Lumpur50603Malaysia Centre for Sustainable and Smart Manufacturing(CSSM) Faculty of EngineeringUniversiti MalayaKuala Lumpur50603Malaysia Department of Industrial Engineering College of EngineeringAlfaisal UniversityRiyadh11533Saudi Arabia Department of Industrial Engineering College of EngineeringKing Saud UniversityP.O.Box 800Riyadh11421Saudi Arabia

This paper presents a smart checkout system designed to mitigate the issues of noise and errors present in the existing barcode and RFID-based systems used at retail stores’checkout *** is achieved by integrating a novel AI algorithm,called Improved Laser Simulator Logic(ILSL)into the RFID *** enhanced RFID system was able to improve the accuracy of item identification,reduce noise interference,and streamline the overall checkout *** potential of the systemfor noise detection and elimination was initially investigated through a simulation study usingMATLAB and ILSL ***,it was deployed in a small-scale environment to validate its real-world *** show that RFID with the proposed new algorithm ILSL and AI basket is capable of accurately detecting the related itemswhile eliminating noise originating fromunrelated objects,achieving an accuracy rate of 88%.

关键词： Smart checkout system RFID technology improved laser simulator logic(ILSL) reduce noise checkout process

Incident Detection Based on Differential Analysis

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Journal of Information Security 2024年第3期15卷 378-409页

作者： mohammed ali Elseddig Mohamed Mejri Computer Science and Information Technology Sudan University of Science and Technology Khartoum Sudan Computer Science Department Laval University Quebec Canada

Internet services and web-based applications play pivotal roles in various sensitive domains, encompassing e-commerce, e-learning, e-healthcare, and e-payment. However, safeguarding these services poses a significant challenge, as the need for robust security measures becomes increasingly imperative. This paper presented an innovative method based on differential analyses to detect abrupt changes in network traffic characteristics. The core concept revolves around identifying abrupt alterations in certain characteristics such as input/output volume, the number of TCP connections, or DNS queries—within the analyzed traffic. Initially, the traffic is segmented into distinct sequences of slices, followed by quantifying specific characteristics for each slice. Subsequently, the distance between successive values of these measured characteristics is computed and clustered to detect sudden changes. To accomplish its objectives, the approach combined several techniques, including propositional logic, distance metrics (e.g., Kullback-Leibler Divergence), and clustering algorithms (e.g., K-means). When applied to two distinct datasets, the proposed approach demonstrates exceptional performance, achieving detection rates of up to 100%.

关键词： IDS SOC SIEM KL-Divergence K-Mean Clustering Algorithms Elbow Method

A Review and Bibliometric Analysis of the Current Studies for the 6G Networks

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Computer Modeling in Engineering & Sciences 2024年第9期140卷 2165-2206页

作者： Qusay M.Salih Md.Arafatur Rahman Ahmad Firdaus mohammed Rajih Jassim Hasan Kahtan Jasni Mohamad Zain Ahmed Hussein ali Faculty of Computing Universiti Malaysia Pahang Al-Sultan Abdullah(UMPSA)PekanPahang26600Malaysia Department of Medical Equipment Technology Engineering Al Salam University CollegeBaghdadIraq School of Mathematics and Computer Science University of WolverhamptonWolverhampton01902UK Department of Production Engineering and Metallurgy University of TechnologyBaghdadIraq Cardiff School of Technologies Cardiff Metropolitan UniversityCardiffCF52YBUK Institute for Big Data Analytics and Artificial Intelligence(IBDAAI) Kompleks Al-KhawarizmiUniversiti Teknologi MARAShah AlamSelangor40450Malaysia Department Computer Science Al-Salam University CollegeBaghdadIraq

The race to develop the next generation of wireless networks,known as Sixth Generation(6G)wireless,which will be operational in 2030,has already *** realize its full potential over the next decade,6G will undoubtedly necessitate additional improvements that integrate existing solutions with cutting-edge ***,the studies about 6G are mainly limited and scattered,whereas no bibliometric study covers the 6G ***,this study aims to review,examine,and summarize existing studies and research activities in *** study has examined the Scopus database through a bibliometric analysis of more than 1,000 papers published between 2017 and ***,we applied the bibliometric analysis methods by including(1)document type,(2)subject area,(3)author,and(4)country of *** study’s results reflect the research 6G community’s trends,highlight important research challenges,and elucidate potential directions for future research in this interesting area.

关键词： 6G bibliometric wireless networks review

Assessment of the environmental kuznets curve within EU-27:Steps toward environmental sustainability(1990-2019)

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Environmental Science and Ecotechnology 2024年第2期18卷 91-103页

作者： Safwan mohammed Abid Rashid Gill Kaushik Ghosal Main Al-Dalahmeh Karam Alsafadi Szilárd Szabó Judit Oláh ali Alkerdi Akasairi Ocwa Endre Harsanyi Institute of Land Use Engineering and Precision Farming TechnologyFaculty of Agricultural and Food Sciences and Environmental ManagementUniversity of DebrecenBöszörményi 138H-4032DebrecenHungary Institutes for Agricultural Research and Educational Farm University of DebrecenBöszörményi 138H-4032DebrecenHungary Department of Economics The Islamia University of BahawalpurPakistan Department of Mining Engineering Indian Institute of Engineering Science and TechnologyShibpurP.O.711103Botanic GardenHowrahWest Bengal711103India Institute of Management and Organization Sciences Faculty of Economics and BusinessUniversity of DebrecenEgyetem Tér 14032DebrecenHungary School of Geographical Sciences Nanjing University of Information Science and TechnologyNanjing210044China Department of Physical Geography and Geoinformatics Faculty of Sciences and TechnologyUniversity of DebrecenEgyetem tér 14032DebrecenHungary Faculty of Economics and Business University of Debrecen4032DebrecenHungary Department of Trade and Finance Faculty of Economics and ManagementCzech University of Life SciencesPrague16500PragueCzech Republic Department of Agricultural Economics Faculty of AgricultureKahramanmaras SütçüImam UniversityTurkey Department of Agriculture Production Faculty of AgricultureKyambogo University P.O.B.1KyambogoKampalaUganda

Reducing environmental pollution is a critical goal in global environmental economics and economic *** European Union(EU)faces environmental challenges due to its development *** we present a comprehensive approach to assess the impact of carbon dioxide(CO_(2))emissions,energy consumption(EC),population structure(POP),economy(GDP),and policies on the environment within the EU using the environmental Kuznets curve(EKC).Our research reveals that between 1990 and 2019,the EU-27 experienced an increase of t1.18 million tonnes of oil equivalent(Mtoe)per year in energy consumption(p<0.05),while CO_(2)emissions decreased by 24.25 million tonnes(Mt)per year(p<0.05).The highest reduction in CO_(2)emissions occurred in Germany(7.52 Mt CO_(2)annually),and the lowest in Latvia(0.087 Mt CO_(2)annually).The empirical EKC analysis shows an inverted-U shaped relationship between GDP and CO_(2)emissions in the ***,a 1%increase in GDP results in a 0.705%increase in carbon emission,while a 1%increase in GDP2 leads to a 0.062%reduction in environmental pollution in the long run(p<0.01).These findings indicate that economic development within the EU has reached a stage where economic growth positively impacts the ***,this study provides insights into the effectiveness of environmental policies in mitigating degradation and promoting green growth in the EU 27 countries.

关键词： Invasion risk Climate change Adaptive genomic variation Genomic offset Habitat suitability

Sex and racial disparities in non-alcoholic fatty liver disease-related cardiovascular events: National inpatient sample analysis (2019)

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World Journal of Cardiology 2024年第3期16卷 137-148页

作者： Rupak Desai ali Tariq Alvi Advait Vasavada Yashwitha Sai Pulakurthi Bhavin Patel Adil Sarvar mohammed Shreyans Doshi Ikechukwu Ogbu Independent Researcher AtlantaGA 30079United States Department of Internal Medicine HCA Florida Westside HospitalPlantationFL 33324United States Department of Internal Medicine M.P.Shah Medical CollJamnagar 361008India Department of Internal Medicine Saint Michael Medical CenterNewarkNJ 07102United States Department of Internal Medicine Trinity Health Oakland HospitalPontiacMI 48341United States Department of Internal Medicine Central Michigan University College of MedicineSaginawMI 48602United States Department of Internal Medicine UCF College of Medicine HCA GME ConsortiumGainesvilleFL 32605United States Department of Internal Medicine Mountainview HospitalLas VegasNV 89108United States

BACKGROUND Non-alcoholic fatty liver disease(NAFLD)increases cardiovascular disease(CVD)risk irrespective of other risk ***,large-scale cardiovascular sex and race differences are poorly *** To investigate the relationship between NAFLD and major cardiovascular and cerebrovascular events(MACCE)in subgroups using a nationally representative United States inpatient *** We examined National Inpatient Sample(2019)to identify adult hospitalizations with NAFLD by age,sex,and race using ICD-10-CM *** and demographic characteristics,comorbidities,and MACCE-related mortality,acute myocardial infarction(AMI),cardiac arrest,and stroke were compared in NAFLD cohorts by sex and *** regression analyses were adjusted for sociodemographic characteristics,hospitalization features,and *** We examined 409130 hospitalizations[median 55(IQR 43-66)years]with *** was more common in females(1.2%),Hispanics(2%),and Native Americans(1.9%)than *** often reported non-elective admissions,Medicare enrolment,the median age of 55(IQR 42-67),and poor *** had higher obesity and uncomplicated diabetes but lower hypertension,hyperlipidemia,and complicated diabetes than *** had a median age of 48(IQR 37-60),were Medicaid enrollees,and had non-elective *** had greater diabetes and obesity rates than whites but lower hypertension and ***,all-cause mortality,AMI,cardiac arrest,and stroke were all greater in elderly individuals(Pality,highlighting a need for tailored interventions and care.

关键词： Non-alcoholic fatty liver disease Cardiovascular disease Major cardiovascular and cerebrovascular events Sex/gender disparities Mortality