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Intelligent Optimization-Based Clustering with Encryption Technique for Internet of Drones Environment

Computers, Materials & Continua 2022年第12期73卷 6617-6634页

作者： Dalia H.Elkamchouchi Jaber S.alzahrani Hany Mahgoub Amal S.Mehanna Anwer Mustafa Hilal Abdelwahed Motwakel Abu Sarwar Zamani Ishfaq Yaseen Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh 11671Saudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversitySaudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Faculty of Computers and Information Computer Science DepartmentMenoufia UniversityEgypt Department of Digital Media Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo 11845Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

The recent technological developments have revolutionized the functioning of Wireless Sensor Network(WSN)-based industries with the development of Internet of Things(IoT).Internet of Drones(IoD)is a division under IoT and is utilized for communication amongst *** drones are naturally mobile,it undergoes frequent topological *** alterations in the topology cause route election,stability,and scalability problems in *** is considered as an effective method to transmit the images in IoD *** current study introduces an Atom Search Optimization basedClusteringwith Encryption Technique for Secure Internet of Drones(ASOCE-SIoD)*** key objective of the presented ASOCE-SIoD technique is to group the drones into clusters and encrypt the images captured by *** presented ASOCE-SIoD technique follows ASO-based Cluster Head(CH)and cluster construction *** addition,signcryption technique is also applied to effectually encrypt the images captured by drones in IoD *** process enables the secure transmission of images to the ground *** order to validate the efficiency of the proposed ASOCE-SIoD technique,several experimental analyses were conducted and the outcomes were inspected under different *** comprehensive comparative analysis results established the superiority of the proposed ASOCE-SIoD model over recent approaches.

关键词： Internet of drones atom search algorithm clustering encryption signcryption

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Cat and Mouse Optimizer with Artificial Intelligence Enabled Biomedical Data Classification

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Computer Systems Science & Engineering 2023年第3期44卷 2243-2257页

作者： B.Kalpana S.Dhanasekaran T.Abirami Ashit Kumar Dutta Marwa Obayya Jaber S.alzahrani Manar Ahmed Hamza Department of Information Technology RMD Engineering CollegeChennai601206India Department of Information Technology Kalasalingam Academy of Research and EducationSrivilliputtur626126India Department of Information Technology Kongu Engineering CollegeErode638060India Department of Computer Science and Information Systems College of Applied SciencesAlMaarefa UniversityAd DiriyahRiyadh13713Kingdom of Saudi Arabia Department of Biomedical Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversitySaudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Biomedical data classification has become a hot research topic in recent years,thanks to the latest technological advancements made in ***-dical data is usually examined by physicians for decision making process in patient *** manual diagnosis is a tedious and time consuming task,numerous automated models,using Artificial Intelligence(AI)techniques,have been presented so *** this motivation,the current research work presents a novel Biomedical Data Classification using Cat and Mouse Based Optimizer with AI(BDC-CMBOAI)*** aim of the proposed BDC-CMBOAI technique is to determine the occurrence of diseases using biomedical ***,the proposed BDC-CMBOAI technique involves the design of Cat and Mouse Optimizer-based Feature Selection(CMBO-FS)technique to derive a useful subset of *** addition,Ridge Regression(RR)model is also utilized as a classifier to identify the existence of *** novelty of the current work is its designing of CMBO-FS model for data ***,CMBO-FS technique is used to get rid of unwanted features and boosts the classification *** results of the experimental analysis accomplished by BDC-CMBOAI technique on benchmark medical dataset established the supremacy of the proposed technique under different evaluation measures.

关键词： Artificial intelligence biomedical data feature selection cat and mouse optimizer ridge regression

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Rare case of secondary hemophagocytic lymphohistiocytosis in a patient with disseminated histoplasmosis

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Pediatric Investigation 2023年第3期7卷 222-224页

作者： Hatem alzahrani Melanie Pancoast Kody Finstad Nicole Pele Francisca Fasipe Mohamed Elsaid Department of Pediatric Oncology King Faisal Specialist Hospital and Research Center MadinahRiyadhSaudi Arabia John Peter Smith Hospital Fort WorthTexasUSA School of Medicine University of MissouriSpringfieldMissouriUSA Department of Pediatric Mercy Children’s HospitalSpringfieldMissouriUSA Department of Pathology Mercy Children’s HospitalSpringfieldMissouriUSA Division of Hematology/Oncology Mercy Children’s HospitalSpringfieldMissouriUSA

To the editor:A previously healthy 3-month-old male presented to his pediatrician with an isolated fever for a few days.A complete blood count(CBC)revealed hemoglobin(Hb)81 g/L,mean cell volume(MCV)79 fl,white blood cell count(WBC)1.9×10^(9)/L,absolute neutrophil count(ANC)3.2×10^(9)/L,and platelet count 260×10^(9)/*** CBC a few days later showed worsening of the leukopenia and *** hospital admission,the patient had a history of fever and lethargy for 11 *** history revealed that his father is a farm *** physical examination showed massive hepatosplenomegaly.

关键词： patient anemia editor

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Improved Chameleon Swarm Optimization-Based Load Scheduling for IoT-Enabled Cloud Environment

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Computer Systems Science & Engineering 2023年第8期46卷 1371-1383页

作者： Manar Ahmed Hamza Shaha Al-Otaibi Sami Althahabi Jaber S.alzahrani Abdullah Mohamed Abdelwahed Motwakel Abu Sarwar Zamani Mohamed I.Eldesouki Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam Bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Computer Science College of Science&Art atMahayilKing Khalid UniversityMuhayel Aseer62529Saudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversityMecaa24382Saudi Arabia Research Centre Future University in EgyptNew Cairo11845Egypt Department of Information System College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlKharjSaudi Arabia

Internet of things(IoT)and cloud computing(CC)becomes widespread in different application domains such as business,e-commerce,healthcare,*** recent developments of IoT technology have led to an increase in large amounts of data from various *** IoT enabled cloud environment,load scheduling remains a challenging process which is applied for ensuring network stability with maximum resource *** load scheduling problem was regarded as an optimization problem that is solved by *** this view,this study develops a new Circle Chaotic Chameleon Swarm Optimization based Load Scheduling(C3SOA-LS)technique for IoT enabled cloud *** proposed C3SOA-LS technique intends to effectually schedule the tasks and balance the load uniformly in such a way that maximum resource utilization can be ***,the presented C3SOA-LS model involves the design of circle chaotic mapping(CCM)with the traditional chameleon swarm optimization(CSO)algorithm for improving the exploration process,shows the novelty of the *** proposed C3SOA-LS model computes an objective with the minimization of energy consumption and *** experimental outcome implied that the C3SOA-LS model has showcased improved performance and uniformly balances the load over other approaches.

关键词： Cloud environment load scheduling energy consumption internet of things metaheuristics

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CoFe-LDH nanowire arrays on graphite felt: A high-performance oxygen evolution electrocatalyst in alkaline media

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Chinese Chemical Letters 2022年第2期33卷 890-892页

作者： Biao Deng Jie Liang Luchao Yue Tingshuai Li Qian Liu Yang Liu Shuyan Gao Abdulmohsen Ali Alshehri Khalid Ahmed alzahrani Yonglan Luo Xuping Sun Chemical Synthesis and Pollution Control Key Laboratory of Sichuan Province School of Chemistry and Chemical EngineeringChina West Normal UniversityNanchong 637002China Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of ChinaChengdu 610054China Institute for Advanced Study Chengdu UniversityChengdu 610106China School of Materials Science and Engineering Henan Normal UniversityXinxiang 453007China Chemistry Department Faculty of ScienceKing Abdulaziz UniversityP.O.Box 80203Jeddah 21589Saudi Arabia

Developing non-noble-metal oxygen evolution reaction(OER) electrocatalysts with high performance is critical to electrocatalytic water splitting. In this work, we fabricated Co Fe-layered double hydroxide(LDH) nanowire arrays on graphite felt(Co Fe-LDH/GF) via a hydrothermal method. The Co Fe-LDH/GF, as a robust integrated 3 D OER anode, exhibits excellent catalytic activity with the need of low overpotential of 252 and 285 mV to drive current densities of 10 and 100 mA/cm^(2) in 1.0 mol/L KOH, respectively. In addition, it also maintains electrochemical durability for at least 24 h. This work would open up avenues for the development of GF like attractive catalyst supports for oxygen evolution applications.

关键词： LDH Graphite felt Electrocatalyst Oxygen evolution Alkaline media

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Reaction Mechanism and Deactivation Modes of Heterogeneous Catalytic Systems

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催化学报 2011年第3期32卷 387-404页

作者： K.KUMBILIEVA L.PETROV Y.ALHAMED A.alzahrani InstituteofCatalysis BulgarianAcademyofSciencesSolTaBulgaria SABICChairofCatalysis KingAbdulazizUniversityJeddahSaudiArabia

解决催化剂释放的问题在过程设计是必要的。做这，有催化剂释放的过程的动力学的各种各样的方面，和他们的不同机制，被讨论。催化剂释放不能经常被避免，但是它的机制上的更多的知识能帮助发现运动工具减少它的有害后果。当释放被焦炭... 详细信息

解决催化剂释放的问题在过程设计是必要的。做这，有催化剂释放的过程的动力学的各种各样的方面，和他们的不同机制，被讨论。催化剂释放不能经常被避免，但是它的机制上的更多的知识能帮助发现运动工具减少它的有害后果。当释放被焦炭引起时，焦炭先锋的产生是在释放动力学的决定的步。释放的不同类型被区分导致这个过程的不同进化。不一致的 coking 的现象能被连接到催化剂表面不一致。为有活跃地点的超过一种类型的催化剂的班，解释在释放模式为观察趋势被建议。为用工业尺寸的催化剂粒子的催化过程， intraparticle 散开抵抗的影响是重要的。分析证明为很多个过程，反应率的减少由于释放是在散开控制下面的更少。为某些反应机制，在那里存在在散开控制下面的进程的率在运动控制政体超过率的操作条件。一个重要问题是在催化剂释放期间的选择的变化。选择也可以减少或增加，并且在释放期间取决于反应机制。当没有散开抵抗时，变化更大。为乙烯氧化物生产的过程的在催化剂活动和选择的催化剂和它的影响的故意的毒害被讨论。

关键词：化学动力学催化高压化学燃烧

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Manta Ray Foraging Optimization with Machine Learning Based Biomedical Data Classification

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Computers, Materials & Continua 2022年第11期73卷 3275-3290页

作者： Amal Al-Rasheed Jaber S.alzahrani Majdy M.Eltahir Abdullah Mohamed Anwer Mustafa Hilal Abdelwahed Motwakel Abu Sarwar Zamani Mohamed I.Eldesouki Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversityMecca24382Saudi Arabia Department of Information Systems College of Science&Art at MahayilKing Khalid UniversityAbha62529Saudi Arabia Research Centre Future University in EgyptNew Cairo11845Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Information System College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

The biomedical data classification process has received significant attention in recent times due to a massive increase in the generation of healthcare data from various *** developments of artificial intelligence(AI)and machine learning(ML)models assist in the effectual design of medical data classification ***,this article concentrates on the development of optimal Stacked Long Short Term Memory Sequence-toSequence Autoencoder(OSAE-LSTM)model for biomedical data *** presented OSAE-LSTM model intends to classify the biomedical data for the existence of ***,the OSAE-LSTM model involves min-max normalization based pre-processing to scale the data into uniform *** by,the SAE-LSTM model is utilized for the detection and classification of diseases in biomedical *** last,manta ray foraging optimization(MRFO)algorithm has been employed for hyperparameter optimization *** utilization of MRFO algorithm assists in optimal selection of hypermeters involved in the SAE-LSTM *** simulation analysis of the OSAE-LSTM model has been tested using a set of benchmark medical datasets and the results reported the improvements of the OSAELSTM model over the other approaches under several dimensions.

关键词： Biomedical data classification deep learning manta ray foraging optimization healthcare machine learning artificial intelligence

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Occupational injuries and burn out among orthopedic oncology surgeons

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World Journal of Orthopedics 2022年第12期13卷 1056-1063页

作者： Abdulrahman M Alaseem Robert E Turcotte Nathalie Ste-Marie Mohammad M alzahrani Saad M Alqahtani Krista A Goulding Department of Orthopedic Surgery College of MedicineKing Saud UniversityRiyadh 12372Saudi Arabia Department of Orthopedic Surgery McGill University Health CentreMontreal H4A3J1Canada Department of Orthopedic Surgery College of MedicineImam Abdulrahman Bin Faisal universityDammam 34212Saudi Arabia Department of Orthopaedic Surgery Mayo ClinicPhoenixArizona 85054USA

BACKGROUND Orthopedic oncology surgeons commonly engage in prolonged and complex surgical *** types of surgeries increase the risk of physical and psychological stressors,which may in turn make these physicians prone to workrelated occupational *** The aim of this study was to explore in orthopedic oncologists,the prevalence of work-related physical injuries and psychological *** A modified version of the physical discomfort survey was developed to assess occupational injuries among orthopedic oncology surgeon members of the Musculoskeletal Tumor Society,the Canadian Orthopedic Oncology Society and European Musculoskeletal Oncology *** survey was sent by email,and it explored musculoskeletal complaints,psychological disturbances,treatment required for these complaints and the requirement of time off *** A total of 67 surgeon responses were collected.A high number of orthopedic oncologists(84%)reported an occupational *** back pain(39%)was the most prevalent musculoskeletal condition,followed by lumbar disk herniation(16%),shoulder tendinitis(15%)and lateral epicondylitis(13%).Of the cohort,46%required surgery and 31%required time off work due to their ***-three respondents reported a psychological ***(27%),anxiety(20%)and insomnia(20%)were the most commonly *** required off work due to injury was associated with old age and years in *** Orthopedic oncology surgeons report a high prevalence of work-related *** back related injury and burnout were the most reported *** operative room ergonomics and prevention of stress related to the work environment should be areas to explore in upcoming research.

关键词： Orthopedic oncology Surgeons Occupational Musculoskeletal Injuries

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Echo Location Based Bat Algorithm for Energy Efficient WSN Routing

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Computers, Materials & Continua 2022年第6期71卷 6351-6364页

作者： Anwer Mustafa Hilal Siwar Ben Haj Hassine Jaber S.alzahrani Masoud Alajmi Fahd N.Al-Wesabi Mesfer Al Duhayyim Ishfaq Yaseen Abdelwahed Motwakel Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Computer Science College of Science and ArtsKing Khalid UniversityMahayil AsirSaudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversitySaudi Arabia Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Faculty of Computer and IT Sana’a UniversitySana’aYemen Department of Natural and Applied Sciences College of Community-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia

Due to the wide range of applications,Wireless Sensor Networks(WSN)are increased in day to day life and becomes *** has marked its importance in both practical and research *** is the most significant resource,the important challenge in WSN is to extend its *** energy reduction is a key to extend the network’s *** of sensor nodes is one of the well-known and proved methods for achieving scalable and energy conserving *** this paper,an energy efficient protocol is proposed using metaheuristic Echo location-based BAT algorithm(ECHO-BAT).ECHO-BAT works in two *** Stage clusters the sensor nodes and identifies tentativeCluster Head(CH)along with the entropy value using BAT *** second stage aims to find the nodes if any,with high residual energy within each *** will be replaced by the member node with high residual energy with an objective to choose the CH with high energy to prolong the network’s *** performance of the proposed work is compared with Low-Energy Adaptive Clustering Hierarchy(LEACH),Power-Efficient Zoning Clustering Algorithm(PEZCA)and Chaotic Firefly Algorithm CH(CFACH)in terms of lifetime of network,death of first nodes,death of 125th node,death of the last node,network throughput and execution *** results show that ECHO-BAT outperforms the other methods in all the considered *** overall delivery ratio has also significantly optimized and improved by approximately 8%,proving the proposed approach to be an energy efficient WSN.

关键词： Wireless sensor networks BAT algorithm energy efficient clustering cluster head energy consumption

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Chaotic Pigeon Inspired Optimization Technique for Clustered Wireless Sensor Networks

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Computers, Materials & Continua 2022年第12期73卷 6547-6561页

作者： Anwer Mustafa Hilal Aisha Hassan Abdalla Hashim Sami Dhahbi Dalia H.Elkamchouchi Jaber S.alzahrani Mrim M.Alnfiai Amira Sayed A.Aziz Abdelwahed Motwakel Department of Electrical and Computer Engineering International Islamic University Malaysia53100Kuala LumpurMalaysia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversitySaudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaifP.O.Box 11099Taif21944Saudi Arabia Department of Digital Media Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt

Wireless Sensor Networks(WSN)interlink numerous Sensor Nodes(SN)to support Internet of Things(loT)*** the data gathered from SNs can be divulged,tempered,and *** WSN data processes manage the data in a centralized format at terminal *** devices are prone to attacks and the security of systems can get *** is a distributed and decentralized technique that has the ability to handle security issues in *** security issues include transactions that may be copied and spread across numerous nodes in a peer-peer network *** breaches the mutual trust and allows data immutability which in turn permits the network to go *** some instances,few nodes die or get compromised due to heavy power *** current article develops an Energy Aware Chaotic Pigeon Inspired Optimization based Clustering scheme for Blockchain assisted WSN technique abbreviated as EACPIO-CB *** primary objective of the proposed EACPIO-CB model is to proficiently group the sensor nodes into clusters and exploit Blockchain(BC)for inter-cluster communication in the *** select ClusterHeads(CHs)and organize the clusters,the presented EACPIO-CB model designs a fitness function that involves distinct input ***,BC technology enables the communication between one CH and the other and with the Base Station(BS)in the *** authors conducted comprehensive set of simulations and the outcomes were investigated under different *** simulation results confirmed the better performance of EACPIO-CB method over recent methodologies.

关键词： Blockchain wireless sensor networks clustering energy efficiency security data transmission

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