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Chaotic Pigeon inspired Optimiza.ion Technique for Clustered Wireless Sensor Networks

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

作者： Anwer Mustafa Hilal Aisha Hassan Abdalla Hashim Sa.i Dhahbi Da.ia H.Elkamchouchi Jaber S.alzahrani Mrim M.Alnfiai a.ira Sayed A.a.iz 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 informa.ion 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 informa.ion 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 centra.ized format at terminal *** devices are prone to attacks and the security of systems can get *** is a distributed and decentra.ized technique that has the a.ility 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.immuta.ility 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 Optimiza.ion 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 communica.ion in the *** select ClusterHeads(CHs)and orga.ize the clusters,the presented EACPiO-CB model designs a fitness function that involves distinct input ***,BC technology enables the communica.ion between one CH and the other and with the Base Sta.ion(BS)in the *** authors conducted comprehensive set of simula.ions and the outcomes were investigated under different *** simula.ion 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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Search and Rescue Optimiza.ion with Machine Learning Enabled Cybersecurity Model

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Computer Systems Science & Engineering 2023年第5期45卷 1393-1407页

作者： Hanan Abdullah Mengash Jaber S.alzahrani Majdy M.Elta.ir Fahd N.Al-Wesa.i Abdullah mohamed Manar Ahmed Hamza Radwa Marzouk Department of informa.ion Systems 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 informa.ion Systems College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Research Centre Future University in EgyptNew Cairo11745Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Mathema.ics Faculty of ScienceCairo UniversityGiza12613Egypt

Presently,smart cities play a vital role to enhance the qua.ity of living among human beings in several ways such as online shopping,e-learning,ehealthcare,*** the benefits of advanced technologies,issues are also existed from the transforma.ion of the physical word into digital word,particularly in online social networks(OSN).Cyberbullying(CB)is a major problem in OSN which needs to be addressed by the use of automated natural language processing(NLP)and machine learning(ML)*** article devises a novel search and rescue optimiza.ion with machine learning enabled cybersecurity model for online social networks,named SRO-MLCOSN *** presented SRO-MLCOSN model focuses on the identifica.ion of CB that occurred in social networking *** SRO-MLCOSN model initially employs Glove technique for word embedding ***,a multiclass-weighted kernel extreme learning machine(M-WKELM)model is utilized for effectual identifica.ion and categoriza.ion of ***,Search and Rescue Optimiza.ion(SRO)algorithm is exploited to fine tune the parameters involved in the M-WKELM *** experimental va.ida.ion of the SRO-MLCOSN model on the benchmark dataset reported significant outcomes over the other approaches with precision,recall,and F1-score of 96.24%,98.71%,and 97.46%respectively.

关键词： Cybersecurity cyberbullying social networking machine learning search and rescue optimiza.ion

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Optimal Deep Learning Enabled Communica.ion System for Unmanned Aerial Vehicles

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Computer Systems Science & Engineering 2023年第4期45卷 955-969页

作者： Anwer Mustafa Hilal Jaber S.alzahrani Da.ia H.Elkamchouchi Majdy M.Elta.ir Ahmed S.Almasoud Abdelwahed Motwakel Abu Sarwar Zama.i ishfaq Yaseen Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia Department of industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversitySaudi Arabia Department of informa.ion Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh 11671Saudi Arabia Department of informa.ion Systems College of Science&Art at MahayilKing Khalid UniversityMuhayel Aseer62529Saudi Arabia Department of informa.ion Systems College of Computer and Information SciencesPrince Sultan UniversitySaudi Arabia

Recently,unmanned aerial vehicles(UAV)or drones are widely employed for several applica.ion areas such as surveillance,disaster management,*** UAVs are limited to energy,efficient coordina.ion between them becomes essential to optimally utilize the resources and effective communica.ion among them and base sta.ion(BS).Therefore,clustering can be employed as an effective way of accomplishing smart communica.ion systems among multiple *** this aspect,this paper presents a group teaching optimiza.ion algorithm with deep learning enabled smart communica.ion system(GTOADL-SCS)technique for UAV *** proposed GTOADL-SCS model encompasses a two stage process namely clustering and *** the initial stage,the GTOADL-SCS model includes a GTOA based clustering scheme to elect cluster heads(CHs)and orga.ize ***,the GTOADL-SCS model develops a fitness function containing three input parameters as residual energy of UAVs,average neighoring distance,and UAV *** classifica.ion process,the GTOADLSCS model applies pre-trained densely connected network(DenseNet201)feature extractor with gated recurrent unit(GRU)*** ensuring the enhanced performance of the GTOADL-SCS model,a widespread simula.ion analysis is performed and the compara.ive study reported the significant outcomes over the existing approaches with ma.imum packet delivery ra.io(PDR)of 92.60%.

关键词： Unmanned aerial vehicles energy efficiency smart communica.ion system deep learning

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A new photosensitive neuron model and its dyna.ics

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Frontiers of informa.ion Technology & Electronic Engineering 2020年第9期21卷 1387-1396页

作者： Yong LiU Wan-jiang XU Jun MA Fa.is alzahrani Aatef HOBiNY School of Mathema.ics and Sta.istics Yancheng Teachers UniversityYancheng 224002China Department of Physics Lanzhou University of TechnologyLanzhou 730050China School of Science Chongqing University of Posts and TelecommunicationsChongqing 430065China NAAM-Research Group Department of MathematicsKing Abdulaziz UniversityJeddah 21589Saudi Arabia

Biological neurons can receive inputs and capture a va.iety of external stimuli,which can be encoded and transmitted as different electric ***,the membrane potential is adjusted to activate the appropriate firing ***,reliable neuron models should take intrinsic biophysical effects and functional encoding into *** fascina.ing and important question is the physical mecha.ism for the transcription of external *** signals can be transmitted as a transmembrane current or a signal voltage for genera.ing action *** present a photosensitive neuron model to estimate the nonlinear encoding and responses of neurons driven by external optical *** the model,a photocell(phototube)is used to activate a simple FitzHugh-Nagumo(FHN)neuron,and then external optical signals(illumina.ion)are imposed to excite the photocell for genera.ing a time-varying current/voltage *** photocell-coupled FHN neuron can therefore capture and encode external optical signals,similar to artificial *** also present detailed bifurca.ion analysis for estima.ing the mode transition and firing pattern selection of neuronal electrical *** sampled time series can reproduce the main characteristics of biological neurons(quiescent,spiking,bursting,and even chaotic beha.iors)by activa.ing the photocell in the neural *** results could be helpful in giving possible guidance for studying neurodyna.ics and applying neural circuits to detect optical signals.

关键词： Photosensitive neuron Neuron model Bifurca.ion Bursting Photocell

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Enhanced Gorilla Troops Optimizer with Deep Learning Enabled Cybersecurity Threat Detection

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Computer Systems Science & Engineering 2023年第6期45卷 3037-3052页

作者： Fatma S.Alrayes Najm Alotaibi Jaber S.alzahrani Sana Alazwa.i Areej Alhogail a.i M.Al-Shara.i Mahmoud Othman Manar Ahmed Hamza Department of informa.ion Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Prince Saud Al Faisal institute for Diploma.ic Studies RiyadhSaudi Arabia Department of industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversitySaudi Arabia Department of informa.ion Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of informa.ion Systems College of Computer and Information SciencesKing Saud UniversitySaudi Arabia Department of Computer Science College of Computers and Information TechnologyUniversity of BishaSaudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Recent developments in computer networks and internet of Things(ioT)have enabled easy access to *** the government and business sectors face several difficulties in resolving cybersecurity network issues,like novel attacks,hackers,internet criminals,and so ***,malware attacks and software piracy pose serious risks in compromising the security of *** can steal confidential data which results infinancial and reputa.ional *** advent of machine learning(ML)and deep learning(DL)models has been employed to accomplish security in the ioT cloud *** article pre-sents an Enhanced Artificial Gorilla Troops Optimizer with Deep Learning Enabled Cybersecurity Threat Detection(EAGTODL-CTD)in ioT Cloud *** presented EAGTODL-CTD model encompasses the identifica.ion of the threats in the ioT cloud *** proposed EAGTODL-CTD mod-el mainly focuses on the conversion of input binaryfiles to color images,where the malware can be detected using an image classifica.ion *** EAG-TODL-CTD model pre-processes the input data to transform to a compa.ible *** threat detection and classifica.ion,cascaded gated recurrent unit(CGRU)model is exploited to determine class ***,EAGTO approach is employed as a hyperparameter optimizer to tune the CGRU parameters,showing the novelty of our *** performance evalua.ion of the EAGTODL-CTD model is assessed on a dataset comprising two class labels namely ma.ignant and *** experimental values reported the supremacy of the EAG-TODL-CTD model with increased accuracy of 99.47%.

关键词： Cybersecurity computer networks threat detection internet of things cloud computing deep learning

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Compa.ison of Steady State Performances of Practical Large-scale PV Configura.ions

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CSEE Journal of Power and Energy Systems 2020年第2期6卷 353-361页

作者： Saeed alzahrani Ra.ibuzzaman Shah N.Mithulananthan Abdulrhman Alshareef School of informa.ion Technology and Electrical Engineering The University of QueenslandQLD 4072Australia School of Engineering and Technology Central Queensland UniversityPerth CampusWA 6000Australia

The concern regarding global warming and the advancement of power electronic devices have enabled the development of large-scale PVs(*** and GW range)in power systems.A number of internal layouts of AC collector grids are reported in the literature for the large-scale PV(LSPV).This study comprehensively assesses the sta.ic performance of va.ious configura.ions of large-scale *** PV systems are modeled in DigSiLENT Power Factory in *** widely used PV system configura.ions such as ra.ial,star,ring,multiring,and multi-star have been considered in this *** the results given in this paper,it is apparent that the PV system configura.ion has significant effects on fault current and active power *** the given results,it is evident that the control methods employed in PV systems also influence the steady state performance of the system.

关键词： Configura.ions collector grid equivalent model large-scale PV short-circuit current contribution

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improved Ant Lion Optimizer with Deep Learning Driven Ara.ic Hate Speech Detection

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Computer Systems Science & Engineering 2023年第9期46卷 3321-3338页

作者： Abdelwahed Motwakel Badriyya B.Al-ona.i Jaber S.alzahrani Sana Alazwa.i Mahmoud Othman Abu Sarwar Zama.i ishfaq Yaseen Amgad Atta Abdelmageed Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Language Prepara.ion Arabic Language Teaching InstitutePrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversitySaudi Arabia Department of informa.ion Technology College of Computers and Information TechnologyTaif UniversityTaifP.O.Box 11099Taif21944Saudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt

Ara.ic is the world’s first language,categorized by its rich and complicated gramma.ical ***,the Ara.ic morphology can be perplexing because nearly 10,000 roots and 900 patterns were the ba.is for verbs and *** Ara.ic language consists of distinct va.ia.ions utilized in a community and particular *** media sites are a medium for expressing opinions and social phenomena like ra.ism,hatred,offensive language,and all kinds of verbal *** conduct does not impact particular na.ions,communities,or groups only,extending beyond such areas into people’s everyday *** study introduces an improved Ant Lion Optimizer with Deep Learning Dirven Offensive and Hate Speech Detection(iALODL-OHSD)on Ara.ic *** presented iALODL-OHSD model mainly aims to detect and classify offensive/hate speech expressed on social *** the iALODL-OHSD model,a threestage process is performed,namely pre-processing,word embedding,and ***,data pre-processing is performed to transform the Ara.ic social media text into a useful *** addition,the word2vec word embedding process is utilized to produce word *** attentionbased cascaded long short-term memory(ACLSTM)model is utilized for the classifica.ion ***,the iALO algorithm is exploited as a hyperparameter optimizer to boost classifier *** illustrate a brief result analysis of the iALODL-OHSD model,a detailed set of simula.ions were *** extensive compa.ison study portrayed the enhanced performance of the iALODL-OHSD model over other approaches.

关键词： Hate speech offensive speech Ara.ic corpora natural language processing social networks

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Modified Garden Balsan Optimiza.ion Based Machine Learning for intrusion Detection

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Computer Systems Science & Engineering 2023年第8期46卷 1471-1485页

作者： Mesfer Al Duhayyim Jaber S.alzahrani Hanan Abdullah Mengash Mrim M.Alnfiai Radwa Marzouk Gouse Pasha moha.med moha.med Rizwanullah Amgad Atta Abdelmageed Department of Computer Science College of Sciences and Humanities-AflajPrince Sattam bin Abdulaziz UniversityAl-KharjSaudi Arabia Department of industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversityAl QunfidhahSaudi Arabia Department of informa.ion Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of informa.ion Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

The internet of Things(ioT)environment plays a crucial role in the design of smart *** and privacy are the major challenging problems that exist in the design of ioT-enabled real-time *** susceptibilities in ioT-based systems pose security threats which affect smart environment *** detection systems(iDS)can be used for ioT environments to mitigate ioT-related security attacks which use few security *** paper introduces a modified garden balsan optimiza.ionbased machine learning model for intrusion detection(MGBO-MLiD)in the ioT cloud *** presented MGBO-MLiD technique focuses on the identifica.ion and classifica.ion of intrusions in the ioT cloud ***,the presented MGBO-MLiD model applies min-max norma.iza.ion that can be utilized for sca.ing the features in a uniform *** addition,the MGBO-MLiD model exploits the MGBO algorithm to choose the optimal subset of ***,the attention-based bidirectional long short-term(a.iLSTM)method can be utilized for the detection and classifica.ion of *** the final level,the Aquila optimiza.ion(AO)algorithm is applied as a hyperparameter optimizer to fine-tune the a.iLSTM *** experimental va.ida.ion of the MGBO-MLiD method is tested using a benchmark *** extensive compara.ive study reported the betterment of the MGBO-MLiD algorithm over recent approaches.

关键词： Deep learning internet of things cloud computing feature selection intrusion detection

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N-doped carbon nanotubes supported CoSe_(2) nanoparticles:A highly efficient and stable catalyst for H_(2)O_(2) electrosynthesis in a.idic media

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Nano Research 2022年第1期15卷 304-309页

作者： Longcheng Zhang Jie Liang Luchao Yue Zhaoquan Xu Kai Dong Qian Liu Yonglan Luo Tingshuai Li Xiaohong Cheng Guanwei Cui Bo Tang Abdulmohsen a.i Alshehri Kha.id Ahmed alzahrani Xiaodong Guo Xuping Sun School of Chemical Engineering Sichuan UniversityChengdu 610065China institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of ChinaChengdu 610054China Hubei Key Laboratory of Low Dimensional Optoelectronic Materials and Devices Hubei University of Arts and ScienceXiangyang 441053China College of Chemistry Chemical Engineering and Materials ScienceShandong Normal UniversityJinan 250014China Chemistry Department Faculty of Science&Center of Excellence for Advanced Materials ResearchKing Abdulaziz UniversityP.O.Box 80203Jeddah21589Saudi Arabia

Electrocatalytic oxygen reduction reaction(ORR)provides an attractive alterna.ive to anthraquinone process for H_(2)O_(2) *** design of earth-abundant electrocatalysts for H_(2)O_(2) synthesis via a two-electron ORR process in a.ids is attractive but still:very *** this work,we report that nitrogen-doped carbon nanotubes as a multi-functional support for CoSe2 nanoparticles not only keep CoSe_(2) nanoparticles well dispersed but alter the crystal structure,which in turn improves the overall catalYtic beha.iors and thereby renders high O_(2)-to-H_(2)O_(2) conversion *** 0.1 M HClO_(4),such CoSe_(2)@NCNTs hybrid delivers a high H_(2)O_(2) selectivity of 93.2% and a large H_(2)0_(2) yield rate of 172 ppm·h^(-1) with excellent dura.ility up to 24 ***,CoSe_(2)@NCNTs performs effectively for orga.ic dye degrada.ion via electro-Fenton process.

关键词： cobalt selenide nitrogen-doped carbon nanotube electrocatalysis two-electron oxygen reduction reaction hydrogen peroxide

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Morphology controllable urchin-shaped bimetallic nickel-cobalt oxide/carbon composites with enhanced electromagnetic wave absorption performance

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Journal of Materials Science & Technology 2023年第17期148卷 250-259页

作者： Fushan Li Qiuyu Li Hideo Kimura Xiubo Xie Xiaoyu Zhang Nannan Wu Xueqin Sun Ben Bin Xu Hassan Alga.i Ra.i Adel Pashameah Abdullah K.Alana.i Eman alzahrani Handong Li Wei Du Zhanhu Guo Chuanxin Hou School of Environmental and Material Engineering Yantai UniversityYantai 264005China Shandong Laboratory of Yantai Advanced Materials and Green Manufacturing Yantai 264005China School of Material Science and Engineering Shandong University of Science and TechnologyQingdao 266590China Mecha.ical and Construction Engineering Faculty of Engineering and EnvironmentNorthumbria UniversityNewcastle Upon Tyne NE18STUK College of Materials Science and Engineering Taiyuan University of Science and TechnologyTaiyuan 030024China Department of Electrical Engineering Faculty of EngineeringNajran UniversityNajran 11001Saudi Arabia Department of Chemistry Faculty of Applied ScienceUmm Al-Qura UniversityMakkah 24230Saudi Arabia Department of Chemistry College of ScienceTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia integrated Composites Laboratory(iCL) Mechanical and Construction EngineeringNorthumbria UniversityNewcastle Upon Tyne NE18STUK Department of Chemical and Bimolecular Engineering University of TennesseeKnoxvilleTN 37996United States

The microscopic morphology of electromagnetic wave absorbers influences the multiple reflections of electromagnetic waves and impedance matching,determining the absorption ***,the urchin-shaped bimetallic nickel-cobalt oxide/carbon(NiCo_(2)O_(4)/C)composites are prepared via a hy-drothermal route,whose absorption properties are investigated by different morphologies regulated by changing calcina.ion temperature.A minimum reflection loss(RL_(min))of-75.26 dB is achieved at a match-ing thickness of 1.5 mm,and the effective absorption bandwidth(EAB)of 8.96 GHz is achieved at 2 ***-advantages of the synthesized NiCo_(2)O_(4)/C composites contribute to sa.isfactory absorption ***,the interwea.ing of the needle-like structures increases the opportunities for scattering and multiple reflections of incident electromagnetic waves,and builds up a conductive network to fa.ilitate the enhancement of conductive ***,the carbon component in the NiCo_(2)O_(4)/C composites en-hances the interfa.ial pola.iza.ion and reduces the density of the ***,generous oxygen va-cancy defects are introduced into the NiCo_(2)O_(4)/C composites,which induces defect pola.iza.ion and dipole *** summary,the ternary coordina.ion of components,defects and morphology led to out-standing electromagnetic wave absorption,which lightened the path for improving the electromagnetic wave absorption property and enriching the fa.ily of NiCo_(2)O_(4) absorbers with excellent performance.

关键词： NiCo_(2)O_(4)/C Oxygen vacancies interfa.ial pola.iza.ion Electromagnetic wave absorber

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