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Resource Allocation and Optimization in Device-to-Device Communication 5G Networks

Computers, Materials & Continua 2021年第10期69卷 1201-1214页

作者： fahad ahmed Al-Zahrani Imran Khan Mahdi Zareei Asim Zeb Abdul Waheed Computer Engineering Department Umm Al-Qura UniversityMecca24381Saudi Arabia Department of Electrical Engineering University of Engineering and Technology PeshawarP.O.B.814Pakistan Tecnologico de Monterrey School of Engineering and SciencesZapopan45201Mexico Department of Computer Science Abbottabad University of Science and TechnologyHavelian22500Pakistan Department of Information Technology Hazara University MansehraMansehra21120Pakistan School of Electrical and Computer Engineering Seoul National UniversitySeoul08826Korea

The next-generation wireless networks are expected to provide higher capacity,system throughput with improved energy *** of the key technologies,to meet the demand for high-rate transmission,is deviceto-device(D2D)communication which allows users who are close to communicating directly instead of transiting through base stations,and D2D communication users to share the cellular user chain under the control of the cellular *** a new generation of cellular network technology,D2D communication technology has the advantages of improving spectrum resource utilization and improving system throughput and has become one of the key technologies that have been widely concerned in the ***,due to the sharing of cellular network resources,D2D communication causes severe interference to existing cellular *** of the most important factors in D2D communication is the spectrum resources utilization and energy consumption which needs considerable attention from research *** address these issues,this paper proposes an efficient algorithm based on the idea of particle swarm *** main idea is to maximize the energy efficiency based on the overall link optimization of D2D user pairs by generating an allocation matrix of spectrum and *** D2D users are enabled to reuse multiple cellular user’s resources by enhancing their total energy efficiency based on the quality of service constraints and the modification of location and speed in particle *** constraint also provides feasibility to solve the original fractional programming *** results indicate that the proposed scheme effectively improved the energy efficiency and spectrum utilization as compared with other competing alternatives.

关键词： 5G networks D2D communication resource allocation

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An Optimal Method for Speech Recognition Based on Neural Network

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Intelligent Automation & Soft Computing 2023年第5期36卷 1951-1961页

作者： Mohamad Khairi Ishak DagØivind Madsen fahad ahmed Al-Zahrani School of Electrical and Electronic Engineering Universiti Sains MalaysiaNibong Tebal14300Malaysia University of South-Eastern Norway Bredalsveien 143511HønefossNorway Computer Engineering Department Umm Al-Qura UniversityMecca24381Saudi Arabia

Natural language processing technologies have become more widely available in recent years,making them more useful in everyday *** learning systems that employ accessible datasets and corporate work to serve the whole spectrum of problems addressed in computational linguistics have lately yielded a number of promising *** methods were particularly advantageous for regional languages,as they were provided with cut-ting-edge language processing tools as soon as the requisite corporate information was *** bulk of modern people are unconcerned about the importance of *** aloud,on the other hand,is an effective technique for nour-ishing feelings as well as a necessary skill in the learning *** paper pro-posed a novel approach for speech recognition based on neural *** attention mechanism isﬁrst utilized to determine the speech accuracy andﬂuency assessments,with the spectrum map as the feature extraction *** increase phoneme identiﬁcation accuracy,reading precision,for example,employs a new type of deep *** makes use of the exportchapter tool,which provides a corpus,as well as the TensorFlow framework in the experimental *** experimentalﬁndings reveal that the suggested model can more effectively assess spoken speech accuracy and readingﬂuency than the old model,and its evalua-tion model’s score outcomes are more accurate.

关键词： Machine learning neural networks speech recognition signal processing learning process ﬂuency and accuracy

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Review of heart transplantation from hepatitis C-positive donors

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World Journal of Transplantation 2022年第12期12卷 394-404页

作者： Palak Patel Nirav Patel fahad ahmed Jason Gluck Department of Cardiology West Roxbury VA CenterWest RoxburyMA 02132United States Department of Cardiology University of ConnecticutHarford HospitalHartfordCT 06102United States Department of Cardiology University of CaliforniaCA 90065United States Department of Internal Medicine Hartford HospitalHartfordCT 06106United States Advanced Heart Failure Hartford HospitalHartfordCT 06102United States

Significant scarcity of a donor pool exists for heart transplantation(HT)as the prevalence of patients with end-stage refractory heart failure is increasing *** the discovery of effective direct-acting antiviral and favorable short-term outcomes following HT,the hearts from hepatitis C virus(HCV)patient are being utilized to increase the donor ***-term outcomes with regards to graft function,coronary artery vasculopathy,and kidney and liver disease is comparable in HCV-negative recipients undergoing HT from HCVpositive donors compared to HCV-negative donors.A significant high incidence of donor-derived HCV transmission was observed with great success of achieving sustained viral response with the use of direct-acting *** accepting HCV-positive organs,the donor pool has expanded with younger donors,a shorter waitlist time,and a reduction in waitlist ***,the longterm outcomes and impact of specific HCV genotypes remains to be *** reviewed the current literature on HT from HCV-positive donors.

关键词： Heart transplant Hepatitis C-positive donors Direct-acting antiviral Coronary allograft vasculopathy Allograft rejection

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Detection of Different Stages of Alzheimer’s Disease Using CNN Classifier

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Computers, Materials & Continua 2023年第9期76卷 3933-3948页

作者： S M Hasan Mahmud Md Mamun Ali Mohammad Fahim Shahriar fahad ahmed Al-Zahrani Kawsar ahmed Dip Nandi Francis M.Bui Department of Computer Science American International University-Bangladesh(AIUB)Dhaka1229Bangladesh Centre for Advanced Machine Learning and Applications(CAMLAs) DhakaBangladesh Department of Software Engineering Daffodil International UniversityDhakaBangladesh Department of Computer Engineering Umm Al-Qura UniversityMecca24381Saudi Arabia Department of ECE University of SaskatchewanSaskatoonSK S7N5A9Canada Group of Biophotomatiχ Department of ICTMBSTUSantoshTangail1902Bangladesh

Alzheimer’s disease(AD)is a neurodevelopmental impairment that results in a person’s behavior,thinking,and memory *** common symptoms ofADare losingmemory and early *** addition to these,there are several serious impacts ***,the impact ofADcanbemitigatedby early-stagedetection though it cannot be cured ***-stage detection is the most challenging task for controlling and mitigating the impact of *** study proposes a predictive model to detect AD in the initial phase based on machine learning and a deep learning approach to address the *** build a predictive model,open-source data was collected where five stages of images of AD were available as Cognitive Normal(CN),Early Mild Cognitive Impairment(EMCI),Mild Cognitive Impairment(MCI),Late Mild Cognitive Impairment(LMCI),and *** stage of AD is considered as a class,and then the dataset was divided into three parts binary class,three class,and five *** this research,we applied different preprocessing steps with augmentation techniques to efficiently *** integrates a random oversampling technique to handle the imbalance problem from target classes,mitigating the model overfitting and *** three machine learning classifiers,such as random forest(RF),K-Nearest neighbor(KNN),and support vector machine(SVM),and two deep learning methods,such as convolutional neuronal network(CNN)and artificial neural network(ANN)were applied on these *** analyzing the performance of the used models and the datasets,it is found that CNN with binary class outperformed 88.20%*** result of the study indicates that the model is highly potential to detect AD in the initial phase.

关键词： Alzheimer’s disease early detection convolutional neural network data augmentation random oversampling machine learning

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Early-Stage Cervical Cancerous Cell Detection from Cervix Images Using YOLOv5

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Computers, Materials & Continua 2023年第2期74卷 3727-3741页

作者： Md Zahid Hasan Ontor Md Mamun Ali Kawsar ahmed Francis M.Bui fahad ahmed Al-Zahrani S.M.Hasan Mahmud Sami Azam Department of Software Engineering(SWE) Daffodil International University(DIU)SukrabadDhaka1207Bangladesh Group of Biophotomatiχ Department of Information and Communication TechnologyMawlana Bhashani Science and Technology UniversitySantoshTangail1902Bangladesh Department of Electrical and Computer Engineering University of Saskatchewan57 Campus DriveSaskatoonS7N5A9SKCanada Computer Engineering Department Umm Al-Qura UniversityMecca24381Saudi Arabia Department of Computer Science American International University-Bangladesh(AIUB)KuratoliDhaka1229Bangladesh College of Engineering IT and EnvironmentCharles Darwin UniversityCasuarina0909NTAustralia

Cervical Cancer(CC)is a rapidly growing disease among women throughout the world,especially in developed and developing *** this many women have ***,it is curable if it can be diagnosed and detected at an early stage and taken proper *** the high cost,awareness,highly equipped diagnosis environment,and availability of screening tests is a major barrier to participating in screening or clinical test diagnoses to detect CC at an early *** solve this issue,the study focuses on building a deep learning-based automated system to diagnose CC in the early stage using cervix cell *** system is designed using the YOLOv5(You Only Look Once Version 5)model,which is a deep learning *** build the model,cervical cancer pap-smear test image datasets were collected from an open-source repository and these were labeled and *** the YOLOv5 models were applied to the labeled dataset to train the *** versions of the YOLOv5 model were applied in this study to find the best fit model for building the automated system to diagnose CC at an early *** of the model’s variations performed *** model can effectively detect cervical cancerous cell,according to the findings of the *** the medical field,our study will be quite *** can be a good option for radiologists and help them make the best selections possible.

关键词： Cervical cancer pap-smear deep learning cancerous cell YOLOv5 model

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An Optimized Algorithm for CR-MIMO Wireless Networks

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Computers, Materials & Continua 2022年第4期71卷 697-715页

作者： Imran Khan Fahd N.Al-Wesabi Marwa Obayya Anwer Mustafa Hilal Manar ahmed Hamza Mohammed Rizwanullah fahad ahmed Al-Zahrani Hirofumi Amano Samih M.Mostafa Department of Electrical Engineering University of Engineering&TechnologyPeshawarPakistan Department of Computer Science King Khalid UniversityMuhayel AseerKSA Department of Biomedical Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversitySaudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Computer Engineering Department Umm Al-Qura UniversityMecca24381Saudi Arabia Research Institute for Information Technology Kyushu UniversityFukuoka819-0395Japan Computer Science-Mathematics Department Faculty of ScienceSouth Valley UniversityQena83523Egypt

With the rapid development of wireless communication technology,the spectrum resources are increasingly strained which needs optimal *** radio(CR)is one of the key technologies to solve this *** sensing not only includes the precise detection of the communication signal of the primary user(PU),but also the precise identification of its modulation type,which can then determine the a priori information such as the PU’service category,so as to use this information to make the cognitive user(CU)aware to discover and use the idle spectrum more effectively,and improve the spectrum *** sensing is the primary feature and core part of *** sensing algorithms includes energy detection,cyclostationary feature detection,matched filter detection,and so *** energy detection algorithm has a simple structure and does not require prior knowledge of the PU transmitter signal,but it is easily affected by noise and the threshold is not easy to *** combination of multiple-input multiple-output(MIMO)with CR improves the spectral efficiency and multipath fading *** best utilize the PU spectrum while minimizing the overall transmit power,an iterative technique based on semidefinite programming(SDP)and minimum mean squared error(MMSE)is ***,this article proposed a new method for max-min fairness *** compared to existing algorithms,the simulation results show that the proposed algorithms perform better in terms of total transmitted power and signal-tointerference plus noise ratio(SINR).Furthermore,the proposed algorithm effectively improved the system performance in terms of number of iterations,interference temperature threshold and balance SINR level which makes it superior over the conventional schemes.

关键词： Cognitive radio spectrum utilization bandwidth primary user

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Spatial distribution and source identification of heavy metal pollution in roadside surface soil:a study of Dhaka Aricha highway,Bangladesh

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Ecological Processes 2016年第1期5卷 16-31页

作者： fahad ahmed A.N.M.Fakhruddin M.D.Toufick Imam Nasima Khan Tanzir ahmed Khan Md.Mahfuzur Rahman Abu Tareq Mohammad Abdullah Department of Environmental Sciences Jahangirnagar UniversitySavarDhaka 1342Bangladesh Institute of Food Science&Technology(IFST) Bangladesh Council of Scientific&Industrial Research(BCSIR)DhakaBangladesh

Introduction:In this study,metal pollution and their sources in surface soils were evaluated by pollution indices and multivariate statistical techniques in association with a geographical information system(GIS).Methods:Surface soil samples were collected in dry season from different locations of Dhaka Aricha highway and analyzed by energy dispersive X-ray fluorescence(EDXRF).Results:Thirteen different metals were found in the tested *** indices are determined by enrichment factor in an order of Zr>Sn>P>Mn>Zn>Rb>Fe>Ba>Sr>Ti>K>Ca>*** resulting geoaccumulation index(Igeo)value shows the following order:Sn>Zr>P>Mn>Zn>Rb>Fe>Ba>Ti>Sr>K>Ca>*** factors(CFs)of the metals range from 1.422 to 3.979(Fe);0.213 to 1.089(Al);0.489 to 3.484(Ca);1.496 to 2.372(K);1.287 to 3.870(Ti);2.200 to 14.588(Mn);5.938 to 56.750(Zr);0.980 to 3.500(Sr);2.321 to 4.857(Rb);2.737 to 6.526(Zn);16.667 to 27.333(Sn);3.157 to 16.286(P);and 0.741 to 3.328(Ba).Pollution load index calculated from the CFs indicates that soils are strongly contaminated by Zr and *** component analysis(PCA)of parameters exhibits three major components.R-mode cluster analysis reveals three distinct groups in both site and metal basis clustering that shows a similar pattern with the ***:These results might be helpful for future monitoring of further increase of heavy metal concentrations in surface soils along highways.

关键词： Heavy metals Geoaccumulation index(I_(geo)) Contamination factor(CF) Pollution load index(PLI) Principal component analysis(PCA) Dhaka Aricha highway

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Chest radiological finding of COVID-19 in patients with and without diabetes mellitus:Differences in imaging finding

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World Journal of Radiology 2022年第1期14卷 13-18页

作者： Sunay Gangadharan Storm Parker fahad Wali ahmed Department of Radiology University Hospitals Sussex NHS Foundation TrustBrighton BN25BEUnited Kingdom Department of Medical Oncology King Faisal Specialist Hospital and Research CentreMadinah 42522Saudi Arabia

The pandemic of novel coronavirus disease 2019(COVID-19)is caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).Diabetes mellitus is a risk factor for developing severe illness and a leading cause of death in patients with *** can precipitate hyperglycaemic emergencies and cause prolonged hospital *** resistance is thought to cause endothelial dysfunction,alveolar capillary micro-angiopathy and interstitial lung fibrosis through pro-inflammatory *** studies have also demonstrated the presence of microvascular thrombi in affected sections of lung,which may be associated with *** imaging using x-ray(CXR)and computed tomography(CT)of chest is used to diagnose,assess disease progression and severity in *** article reviews current literature regarding chest imaging findings in patients with diabetes affected by COVID-19.A literature search was performed on *** with diabetes infected with SARSCoV-2 are likely to have more severe infective changes on CXR and CT chest *** of airspace consolidation on CXR is associated with higher mortality,particularly in the presence of co-morbidities such as ischaemic heart *** controlled diabetes is associated with more severe acute lung injury on ***,no association has been identified between poorlycontrolled diabetes and the incidence of pulmonary thromboembolism in patients with COVID-19.

关键词： Diabetes mellitus COVID-19 Chest X-Ray Chest imaging using x-ray Computed tomography of chest

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Benign lymph node microenvironment is associated with response to immunotherapy

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Precision Clinical Medicine 2020年第1期3卷 44-53页

作者： Maria I.Toki Deepika Kumar fahad S.ahmed David L.Rimm Mina L.Xu Department of Pathology Yale University School of MedicineNew HavenCT 06510USA Department of Medicine Yale University School of MedicineNew HavenCT 06510USA

Introduction:Benign lymph nodes have been considered the hubs of immune surveillance in cancer *** microenvironment of these lymphoid tissues can be immune suppressed,hence allowing for tumor *** the spectrum of benign findings in bystander lymph nodes in immune checkpoint blockade therapy could prove to be key to understanding the mechanism and assessing treatment ***:Benign lymph nodes and spleen were evaluated from patients treated with immunotherapy who subsequently received postmortem *** used quantitative immunofluorescence(QIF)to assess tumor infiltrating lymphocytes(TIL)and macrophage marker expression and characterized activation status using a novelmultiplexed QIF assay including CD3,GranzymeB,and *** performedimmunohistochemistry to correlate results of ***:Benign lymph nodes from non-responders to immunotherapy showed significantly higher expression of cytotoxic markers and proliferation index(Ki67)in T cells compared to *** expression of PD-L1 in macrophages was also *** was no significant difference in CD3+expression,but higher levels of CD8+T cells as well as CD20+B cells were seen in lymph nodes of *** significant differences were seen between responder and non-responder splenic *** were supported by traditional immunostaining ***:While most studies in biomarkers for immunotherapy focus on tumor microenvironment,we show that benign lymph node microenvironment may predict response to *** responding patients,bystander lymph nodes appear to have been mobilized,resulting in reduced cytotoxic T ***,patients whose disease progressed on immunotherapy demonstrate higher levels of macrophages that express increased PD-L1,and activated T cells not recruited to the tumor site.

关键词： response to immunotherapy lymph node microenvironment quantitative immunofluorescence

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In vitro evaluation of antimicrobial and antioxidant activity of Dragon’s blood tree(Dracaena cinnabari Balf.f.)of Socotra Island(Yemen)

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Journal of Coastal Life Medicine 2013年第2期 123-129页

作者： Abu-Taleb ahmed Yehia fahad ahmed Mohsen Alzowahi Tukaram Angadrao Kadam Rafik Usman Shaikh Department of Microbiology School of Life SciencesS.R.T.M.UniversityNanded-431606(MS)India Department of Microbiology Taiz UniversityYemen

Objective:To evaluate the performance of preliminary phytochemical,antioxidant and antimicrobial activities of Dracaena cinnabari Balf.f.(Agavaceae)(***)resin,collected from Socotra Island(Yemen).Methods:The powdered stem resin is extracted with different solvents by using Soxhlet apparatus and evaluated for antioxidant and antimicrobial activity against three Gram positive bacteria(Bacillus cereus NCIM 2106,Staphylococcus aureus NCIM 2127,and Micrococcus luteus NCIM 2169),seven Gram negative bacteria(Escherichia coli NCIM 2924,Pseudomonas aeruginosa NCIM 2863,Salmonella typhimurium NCIM 2501,Klebsiella aerogenes NCIM 2281,Proteus morganii NCIM 2860,Escherichia coli dh5α,Escherichia coli CSH)and three fungi(Candida albicans MTCC 227,Aspergillus flavus MTCC 873,Aspergillus niger MTCC 1781).Results:The antimicrobial activity data revealed that,the selected microorganisms possess varied sensitivity response to chloroform extract followed by methanol and benzene extract of *** stem *** samples also possess a potent DPPH,OH and SO radical scavenging *** addition,the preliminary phytochemical analysis demonstrated the presence of alkaloids,flavonoids,terpenoids and other organic compounds which could be reason for antimicrobial activities of *** ***:The present study is strengthened for the discovery and development of new antioxidant and antimicrobial drugs from *** resin which encourage us to continue with pure fractions.

关键词： Dracaena cinnabari Socotra Yemen Resin Antimicrobial Antioxidant Phytochemical screening

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