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

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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

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

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

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

Lean HC gas injection pilots analysis and IPR back calculation to examine the impact of asphaltene deposition on flow performance

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Petroleum Research 2019年第1期4卷 84-95页

作者： fahad I.Syed Mohamed Boukhatem ahmed A.al Kiyoumi Abu Dhabi National Oil Company(ADNOC)Offshore Abu DhabiUnited Arab Emirates

Gas injection is one of the most economical and effective approach to improve oil ***,outcome of such approach is contingent to reservoir heterogeneities impacting gas override and ***,injected fluid composition and its compatibility with the reservoir fluid potentially impact flow assurance issues such as asphaltene precipitation into the wellbore and surface *** objective of this paper is to examine the lesson learnt from a couple of field scale 5 spot patterned lean hydrocarbon gas injection pilots which were deployed in a heterogeneous carbonate formation of a giant field located offshore Abu Dhabi under secondary and tertiary drive *** pilots provides a valuable insight on production performance,pressure support,gravity override,fluid composition and evidence of asphaltene deposition that resulted in heavy production loss prior to the solvent *** paper presents the overall pilot performance including pattern recovery,fluid front movement,potential role of heterogeneity in gas breakthrough timings and the operational events to witness asphaltene deposition affecting the flow *** deposited asphaltene cake thickness was measured mechanically during routine tubing clearance check operation that was helpful in estimating production loss due to altered production tubing flow *** an integrated approach is applied to confirm the AOP laboratory measurements with the actual deposits of asphaltene that were found in to the production *** order to confirm the effect of asphaltene deposition on inflow from near wellbore formation to the wellbore,a straightforward yet innovative nodal analysis approach was applied to study well performance using the calibrated and history matched well *** was noticed that not only the outflow was altered because of asphaltene deposition into wellbore but also the inflow(productivity index)was seriously impacted potentially due to asphaltene depos

关键词： Gas injection Well performance Asphaltene deposition Formation damage

A Novel Layered Double Hydroxide and Dodecyl alcohol Assisted PCM Composite with High Latent Heat Storage Capacity and Thermal Conductivity

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Journal of Thermal Science 2024年第2期33卷 537-547页

作者： al-ahmed Amir SARI Ahmet KHAN Firoz al-RASHEIDI Masoud Hekimoğlu Gökhan AFZAal Mohammad A.alSULAMI ahmed DAFalLA Hatim SalHI Billel A.alSULAIMAN fahad Interdisciplinary Research Center for Renewable Energy and Power Systems(IRC-REPS) King Fahd University of Petroleum&MineralsDhahran31261Saudi Arabia Department of Metallurgical and Material Engineering Karadeniz Technical UniversityTrabzon61080Turkey Maths and Natural Sciences Division Higher Colleges of TechnologyP.O.Box 7947SharjahUnited Arab Emirates Department of Mechanical Engineering King Fahd University of Petroleum&MineralsDhahran31261Saudi Arabia Core Research Facilities King Fahd University of Petroleum&MineralsDhahran31261Saudi Arabia Interdisciplinary Research Center for Membranes and Water Security King Fahd University of Petroleum&MineralsDhahran31261Saudi Arabia

Dodecyl alcohol(DDA) is a promising solid-liquid phase change material(PCM) due to its favorable latent heat storage(LHS) ***,the leakage issue of PCM in a melted state during the heating period and low thermal conductivity restricts its utilization potential in thermal energy storage(TES) *** the same context,the present work aims to overcome the leakage issue and improve the thermal conductivity of the *** this in mind,a novel leak-proof layered double hydroxide(LDH)/DDA composite PCM is proposed through a solution-based impregnation *** leak-proof impregnation ratio of the DDA impregnated within the cavities of the synthesized al/Fe-LDH was determined to be 60%.Detailed morphological,physicochemical,and thermal properties of the fabricated composite were studied by scanning electron microscopy(SEM),Fourier transforms infrared(FTIR) spectroscopy,X-ray diffraction(XRD)spectroscopy,differential scanning calorimetry(DSC),thermalgravimetric analysis(TGA),and thermal cycling *** results show that the LDH/DDA composite has a suitable phase change temperature(about 20℃) for passive solar thermal management of building *** composite PCM showed high LHS enthalpy(about136 J/g),good thermal stability,and cycling LHS *** also showed nearly 152% higher thermal conductivity compared to that of pure DDA,ultimately reducing the melting and solidification time of the pure DDA by 44.9% and 45.5%,respectively.

关键词： dodecyl alcohol layered double hydroxide composite PCM thermal conductivity thermal energy storage(TES)

A Mutual Authentication and Cross Verification Protocol for Securing Internet-of-Drones (IoD)

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Computers, Materials & Continua 2022年第9期72卷 5845-5869页

作者： Saeed Ullah Jan Irshad ahmed Abbasi fahad algarni Department of Computer Science&IT University of MalakandChakadara18800Pakistan Faculty of Science&Arts Belqarn Department of Computer ScienceUniversity of BishaSabtul Alaya 61985Saudi Arabia Faculty of Computing and Information Technology University of BishaBisha 67714Saudi Arabia

With the rapid miniaturization in sensor technology,Internet-ofDrones(IoD)has delighted researchers towards information transmission security among drones with the control station server(CSS).In IoD,the drone is different in shapes,sizes,characteristics,and *** can be classified on the purpose of its deployment,either in the civilian or military ***’s manufacturing,equipment installation,power supply,multi-rotor system,and embedded sensors are not issues for *** main thing is to utilize a drone for a complex and sensitive task using an infrastructureless/self-organization/resource-less network type called Flying Ad Hoc Network(FANET).Monitoring data transmission traffic,emergency and rescue operations,border surveillance,search and physical phenomenon sensing,and so on can be achieved by developing a robust mutual authentication and cross-verification scheme for IoD deployment civilian *** several protocols are available in the literature,they are either design issues or suffering from other vulnerabilities;still,no one claims with conviction about foolproof security ***,in this paper,the researchers highlighted the major deficits in prior protocols of the domain,i.e.,these protocols are either vulnerable to forgery,side channel,stolen-verifier attacks,or raised the outdated data transmission *** order to overcome these loopholes and provide a solution to the existing vulnerabilities,this paper proposed an improved and robust public key infrastructure(PKI)based authentication scheme for the IoD *** proposed protocol’s security analysis section has been conducted formally using BAN(Burrows-Abadi-Needham)logic,ProVerif2.03 simulation,and informally using discussion/pragmatic *** the performance analysis section of the paper has been assessed by considering storage,computation,and communication *** comparing the proposed protocol with prior works,it has been demonstrate

关键词： Cryptography authentication confidentiality reachability ZSP

Impacts of center pivot irrigation system uniformity on growth of potato crop and residual soil nitrogen

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International Journal of Agricultural and Biological Engineering 2019年第1期12卷 126-131页

作者： Khalid A.al-Gaadi Abdalhaleem A.Hassaballa ElKamil Tola ahmed G.Kayad Rangaswamy Madugundu fahad Assiri Mohamed Edrris ahmed alameen Haroon Edrees Precision Agriculture Research Chair(PARC) King Saud UniversityRiyadhSaudi Arabia Department of Agricultural Engineering College of Food and Agriculture SciencesKing Saud UniversityRiyadhSaudi Arabia Department of Agricultural&Biological Engineering Faculty of EngineeringUniversity of KhartoumSudan Saudi Agricultural Development Company(INMA) Wadi Al-DawasirSaudi Arabia

Maintaining the homogeneity of soil nitrogen(N)and plant vigor across agricultural fields is a major concern for farmers and agricultural scheme planners,particularly fields that are irrigated through pressurized systems,such as center ***,this study was carried out on a 30 hm2 potato field located 650 km south of Riyadh,the capital city of the Kingdom of Saudi Arabia,to investigate the impacts of the center pivot irrigation distribution uniformity on the crop development and the spatial distribution of residual soil *** performance test was designed to investigate water application rate and distribution *** overall water application uniformity coefficients(Cu),determined through Christiansen(Cud)and Heerman(CuH)methods,were determined at 81.29%and 80.64%,***,the overall water distribution uniformity(Du)was determined at 70%.A considerable variability in the distribution uniformity of irrigation water was observed across the experimental field(a Du value of 67%over the medium spans compared to a Du value of 88%over the inner spans).Results of this study showed a linear correlation between the irrigation water distribution uniformity and the soil N(R^(2)=0.88).On the other hand,the vegetation cover distribution,indicated by the Cumulative Normalized Difference Vegetation Index(CNDVI),was not found to be much responsive to the irrigation distribution uniformity(R^(2)=0.11).A time series of successive NDVI maps extracted throughout the potato crop growth stages showed a consistent trend in the distribution of NDVI across the field,with R2 values that ranged between 0.25-0.73.

关键词： irrigation performance uniformity center pivot potato soil nitrogen NDVI

An integrative risk assessment approach to enhancing patient safety in Continuous Renal Replacement Therapy(CRRT)

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Journal of Safety Science and Resilience 2024年第3期5卷 344-354页

作者： ahmed Saad Juman alsadi Dima Tareq al-Absi Muhra almulla Mecit Can Emre Simsekler ahmed Adel Sadeq fahad Omar Mazhar Basha Islam Khatab Noha Abu Khater Andrea Molesi Siddiq Anwar Departnent of Management Science and Engineering Khalifa University of Science&TechnologyAbu DhabiUAE Department of Pharmacy Sheikh Shakhbout Medical CiyAbu DhabiUAE Departnent of Critical Care Sheikh Shakhbout Medical CityAbu DhabiUAE Departnent of Intermal Medicine Sheikh Shakhbout Medical CityAbu DhabiUAE

Continuous Renal Replacement Therapy(CRRT)serves as an intervention strategy for the management of acute kidney injury(AKl)in critically ill ***,owing to its complex nature and the potential for com-plications,the implementation of CRRT demands continuous monitoring to prevent patient safety *** study aims to identify and validate prevalent risks linked to CRRT within a real-world clinical setting,intending to propose preventive measures grounded in expert *** systematically categorize and visually depict the risks,their consequences,preventive measures,and recovery controls,our study employed the Bowtie method in conjunction with the Systems Engineering Initiative for Patient Safety(SEIPS)*** addition to considering patient-related factors that exhibit variability among critically ill individuals,our key findings showed that the most influential risks impacting the effective delivery of CRRT are incidents of clotted filters,bleeding risks arising from the necessity of anticoagulation for filter efficacy,vascular catheter-related bloodstream infections,variations in proficiency levels among healthcare professionals regarding CRRT modalities,especially in oper-ating the CRRT machines,high nursing workload,frequent nursing turnover,occurrences of hypophosphatemia,variability in CRRT prescribing patterns,and issues related to communication among *** research sheds light on the primary risks associated with CRRT and provides practical and viable strategies for effective ***,the Bowtie diagram developed as part of this study serves as a valuable tool for visually representing the healthcare system and facilitating the identification of system-related risks within healthcare settings.

关键词： Patient safety Riskmanagement CRRT Continuous Renal Replacement Therapy Acutekidneyinjury,Bowtiemethod SEIPS