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Di.i.al Text Document Watermarki.g Based Tamperi.g Attack Detecti.n vi. i.ternet

Computer Systems Sci.nce & Engi.eeri.g 2024年第3期48卷 759-771页

作者： Manal Abdullah alohali.Muna Elsadi. fahd n.al-wesabi Mesfer al Duhayyi. anwer mustafa hi.al Abdelwahed Motwakel Department of i.formati.n Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Sci.nce College of Science&Art at MahayilKing Khalid UniversityAbha62217Saudi Arabia Department of Computer Sci.nce College of Sciences and Humanities-AflajPrince Sattam bin Abdulaziz UniversityAl-Aflaj16733Saudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Owi.g to the rapi. i.crease i. the i.terchange of text i.formati.n through i.ternet networks,the reli.bi.i.y and securi.y of di.i.al content are becomi.g a major research *** detecti.n,Content authenti.ati.n,and i.tegri.y veri.i.ati.n of di.i.al content i.terchanged through the i.ternet were uti.i.ed to solve a major concern i. i.formati.n and communi.ati.n *** authors’di.fi.ulti.s were tamperi.g detecti.n,authenti.ati.n,and i.tegri.y veri.i.ati.n of the di.i.al *** study develops an Automated Data Mi.i.g based Di.i.al Text Document Watermarki.g for Tamperi.g Attack Detecti.n(ADMDTW-TAD)vi. the *** DM concept i. exploi.ed i. the presented ADMDTW-TAD techni.ue to i.enti.y the document’s appropri.te characteri.ti.s to embed larger watermark *** presented secure watermarki.g scheme i.tends to transmi. di.i.al text documents over the i.ternet *** the watermark i. embedded wi.h no damage to the ori.i.al document,i. i. then shared wi.h the *** watermark extracti.n process i. performed to get the ori.i.al document *** experi.en.al vali.ati.n of the ADMDTW-TAD techni.ue i. carri.d out under varyi.g levels of attack volumes,and the outcomes were i.spected i. terms of di.ferent *** si.ulati.n values i.di.ated that the ADMDTW-TAD techni.ue i.proved performance over other models.

关键词： Content authenti.ati.n tamperi.g attacks detecti.n model securi.y di.i.al watermarki.g

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AMachi.e Learni.g Approach to Cyberbullyi.g Detecti.n i. Arabi. Tweets

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Computers, Materi.ls & Conti.ua 2024年第7期80卷 1033-1054页

作者： Dhi.a Musleh Atta Rahman Mohammed Abbas alkherallah Men.al Kamel al-Bohassan mustafa Mohammed alawami.Hayder ali.alsebaa Jawad ali.alnemer Ghazi.Fayez al-Mutai.i.May i.sa aldossary Dalal A.aldowai.i.fahd alhai.ari Department of Computer Sci.nce College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of Computer i.formati.n Systems College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of networks and Communi.ati.ns College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia

Wi.h the rapi. growth of i.ternet usage,a new si.uati.n has been created that enables practi.i.g *** has i.creased over the past decade,and i. has the same adverse effects as face-to-face bullyi.g,li.e anger,sadness,anxi.ty,and *** the anonymi.y people get on the i.ternet,they tend to bemore aggressi.e and express thei. emoti.ns freely wi.hout consi.eri.g the effects,whi.h can be a reason for the i.crease i. cyberbullyi.g and i. i. the mai. moti.e behi.d the current *** study presents a thorough background of cyberbullyi.g and the techni.ues used to collect,preprocess,and analyze the ***,a comprehensi.e revi.w of the li.erature has been conducted to fi.ure out research gaps and effecti.e techni.ues and practi.es i. cyberbullyi.g detecti.n i. vari.us languages,and i. was deduced that there i. si.ni.i.ant room for i.provement i. the Arabi. *** a result,the current study focuses on the i.vesti.ati.n of shortli.ted machi.e learni.g algori.hms i. natural language processi.g(nLP)for the classi.i.ati.n of Arabi. datasets duly collected from Twi.ter(also known as X).i. thi. regard,support vector machi.e(SVM),nai.e Bayes(nB),Random Forest(RF),Logi.ti. regressi.n(LR),Bootstrap aggregati.g(Baggi.g),Gradi.nt Boosti.g(GBoost),Li.ht Gradi.nt Boosti.g Machi.e(Li.htGBM),Adapti.e Boosti.g(AdaBoost),and eXtreme Gradi.nt Boosti.g(XGBoost)were shortli.ted and i.vesti.ated due to thei. effecti.eness i. the si.i.ar ***,the scheme was evaluated by well-known performance measures li.e accuracy,preci.i.n,Recall,and ***,XGBoost exhi.i.ed the best performance wi.h 89.95%accuracy,whi.h i. promi.i.g compared to the state-of-the-art.

关键词： Supervi.ed machi.e learni.g ensemble learni.g cyberbullyi.g Arabi. tweets nLP

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Hand Gesture Recogni.i.n for Di.abled People Usi.g Bayesi.n Opti.i.ati.n wi.h Transfer Learni.g

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i.telli.ent Automati.n & Soft Computi.g 2023年第6期36卷 3325-3342页

作者： Fadwa alrowai. Radwa Marzouk fahd n.al-wesabi.anwer mustafa hi.al Department of Computer Sci.nces College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of i.formati.n Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Mathemati.s Faculty of ScienceCairo UniversityGiza12613Egypt Department of Computer Sci.nce College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Si.n language recogni.i.n can be treated as one of the effi.i.nt solu-ti.ns for di.abled people to communi.ate wi.h *** helps them to convey the requi.ed data by the use of si.n language wi.h no *** latest develop-ments i. computer vi.i.n and i.age processi.g techni.ues can be accurately uti.li.ed for the si.n recogni.i.n process by di.abled *** Si.n Language(ASL)detecti.n was challengi.g because of the enhanci.g i.traclass si.i.ari.y and hi.her *** arti.le develops a new Bayesi.n Opti.i.a-ti.n wi.h Deep Learni.g-Dri.en Hand Gesture Recogni.i.n Based Si.n Language Communi.ati.n(BODL-HGRSLC)for Di.abled *** BODL-HGRSLC techni.ue ai.s to recogni.e the hand gestures for di.abled people’s *** presented BODL-HGRSLC techni.ue i.tegrates the concepts of compu-ter vi.i.n(CV)and DL *** the presented BODL-HGRSLC techni.ue,a deep convoluti.nal neural network-based resi.ual network(Resnet)model i. appli.d for feature ***,the presented BODL-HGRSLC model uses Bayesi.n opti.i.ati.n for the hyperparameter tuni.g *** last,a bi.i.-ecti.nal gated recurrent uni.(Bi.RU)model i. exploi.ed for the HGR procedure.A wi.e range of experi.ents was conducted to demonstrate the enhanced perfor-mance of the presented BODL-HGRSLC *** comprehensi.e compari.on study reported the i.provements of the BODL-HGRSLC model over other DL models wi.h maxi.um accuracy of 99.75%.

关键词： Deep learni.g hand gesture recogni.i.n di.abled people computer vi.i.n bayesi.n opti.i.ati.n

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Red Deer Opti.i.ati.n wi.h Arti.i.i.l i.telli.ence Enabled i.age Capti.ni.g System for Vi.ually i.pai.ed People

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Computer Systems Sci.nce & Engi.eeri.g 2023年第8期46卷 1929-1945页

作者： anwer mustafa hi.al Fadwa alrowai. fahd n.al-wesabi Radwa Marzouk Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Computer Sci.nces College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Sci.nce College of Science&Art at MahayilKing Khalid UniversityMahayilSaudi Arabia Department of i.formati.n Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Mathemati.s Faculty of ScienceCairo UniversityGiza12613Egypt

The problem of produci.g a natural language descri.ti.n of an i.age for descri.i.g the vi.ual content has gai.ed more attenti.n i. natural language processi.g(nLP)and computer vi.i.n(CV).i. can be dri.en by appli.ati.ns li.e i.age retri.val or i.dexi.g,vi.tual assi.tants,i.age understandi.g,and support of vi.ually i.pai.ed people(Vi.).Though the Vi. uses other senses,touch and heari.g,for recogni.i.g objects and events,the quali.y of li.e of those persons i. lower than the standard *** i.age capti.ni.g generates capti.ns that wi.l be read loudly to the Vi.,thereby reali.i.g matters happeni.g around *** arti.le i.troduces a Red Deer Opti.i.ati.n wi.h Arti.i.i.l i.telli.ence Enabled i.age Capti.ni.g System(RDOAi.i.S)for Vi.ually i.pai.ed *** presented RDOAi.i.S techni.ue ai.s i. generati.g i.age capti.ns for *** presented RDOAi.CS techni.ue uti.i.es a neural archi.ectural search network(nASnet)model to produce i.age ***,the RDOAi.i.S techni.ue uses the radi.l basi. functi.n neural network(RBFnn)method to generate a textual *** enhance the performance of the RDOAi.i.S method,the parameter opti.i.ati.n process takes place usi.g the RDO algori.hm for nasnet and the butterfly opti.i.ati.n.algori.hm(BOA)for the RBFnn model,showi.g the novelty of the *** experi.en.al evaluati.n of the RDOAi.i.S method can be tested usi.g a benchmark *** outcomes show the enhancements of the RDOAi.i.S method over other recent i.age capti.ni.g approaches.

关键词： Machi.e learni.g i.age capti.ni.g vi.ually i.pai.ed people parameter tuni.g arti.i.i.l i.telli.ence metaheuri.ti.s

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Machi.e Learni.g Based Depressi.n,Anxi.ty,and Stress Predi.ti.e Model Duri.g COVi.-19 Cri.i.

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Computers, Materi.ls & Conti.ua 2022年第3期70卷 5803-5820页

作者： fahd n.al-wesabi Hadeel alsolai.anwer mustafa hi.al Manar Ahmed Hamza Mesfer al Duhayyi. noha negm Department of Computer Sci.nce King Khalid UniversityMuhayel AseerSaudi Arabia Faculty of Computer and i. Sana’a UniversitySana’aYemen Department of i.formati.n Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversitySaudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of natural and Appli.d Sci.nces College of Community-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia Computer Sci.nce Department King Khaled UniversityKSA Faculty of Sci.nce Mathematics and Computer Science DepartmentMenoufia UniversityEgypt

Corona Vi.us Di.ease-2019(COVi.-19)was reported at fi.st i. Wuhan ci.y,Chi.a by December *** Health Organi.ati.n(WHO)declared COVi.-19 as a pandemi. i.e.,global health cri.i. onMarch 11,*** outbreak of COVi.-19 pandemi. and subsequent lockdowns to curb the spread,not only affected the economi. status of a number of countri.s,but i. also resulted i. i.creased levels of Depressi.n,Anxi.ty,and Stress(DAS)among ***,there i. a need exi.ts to comprehend the relati.nshi. among psycho-soci.l factors i. a country that i. hypotheti.ally affected by hi.h levels of stress and fear;wi.h tremendously-li.i.i.gmeasures of soci.l di.tanci.g and lockdown i. force;and wi.h hi.h rates of new cases and *** thi. moti.ati.n,the current study ai.s at i.vesti.ati.g theDAS levels among college students duri.g COVi.-19 lockdown si.ce they are i.enti.i.d as a hi.hly-suscepti.le *** current study proposes to develop i.telli.ent Feature Subset Selecti.n wi.hMachi.e Learni.g-based DAS predi.ti.e(i.SSML-DAS)*** presented i.SSML-DAS model i.volves data preprocessi.g,Feature Subset Selecti.n(FSS),classi.i.ati.n,and parameter ***,i.SSML-DAS model uses Group Gray Wolf Opti.i.ati.n based FSS(GGWO-FSS)techni.ue to reduce the curse of *** addi.i.n,Beetle Swarm Opti.i.ati.n based Least Square Support Vector Machi.e(BSO-LSSVM)model i. also employed for classi.i.ati.n i. whi.h the wei.ht and bi.s parameters of the LSSVM model are opti.ally adjusted usi.g BSO *** performance of the proposed i.SSML-DAS model was tested usi.g a benchmark DASS-21 dataset and the results were i.vesti.ated under di.ferent *** outcome of the study suggests the development of speci.li.ed programs to handleDAS among populati.n so as to overcome COVi.-19 cri.i..

关键词： Psycho-soci.l factors covi.-19 cri.i. management predi.ti.e models deci.i.n maki.g machi.e learni.g

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Securi.g Arabi. Contents algori.hm for Smart Detecti.g of i.legal Tamperi.g Attacks

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Computers, Materi.ls & Conti.ua 2022年第2期70卷 2879-2894页

作者： Mesfer al Duhayyi. Manal Abdullah alohali.fahd n.al-wesabi.anwer mustafa hi.al Mohammad Medani.Manar Ahmed Hamza Department of natural and Appli.d Sci.nces College of Community-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia Department of i.formati.n Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversitySaudi Arabia Department of Computer Sci.nce King Khalid UniversityMuhayel AseerSaudi Arabia Faculty of Computer and i. Sana’a UniversitySana’aYemen Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Themost common di.i.al medi. exchanged vi. the i.ternet i. i. text *** Arabi. language i. consi.ered one of themost sensi.i.e languages of content modi.i.ati.n due to the presence of di.cri.i.s that can cause a change i. the *** thi. paper,an i.telli.ent scheme i. proposed for i.provi.g the reli.bi.i.y and securi.y of the text exchanged vi. the *** core mechani.m of the proposed scheme depends on i.tegrati.g the hi.den Markov model and zero text watermarki.g *** watermark key wi.l be generated by uti.i.i.g the extracted features of the text analysi. process usi.g the thi.d order and word level of the Markov *** Embeddi.g and detecti.n processes of the proposed scheme wi.l be performed logi.ally wi.hout the effect of the ori.i.al *** proposed scheme i. i.plemented usi.g PHP wi.h VS code *** si.ulati.n results,usi.g varyi.g si.es of standard datasets,show that the proposed scheme can obtai. hi.h reli.bi.i.y and provi.e better accuracy of the common i.legal tamperi.g *** results wi.h other baseli.e techni.ues show the added value of the proposed scheme.

关键词： Tamperi.g detecti.n zero-watermarki.g soft computi.g text analysi. hi.den Markov model

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Metaheuri.ti. Resource allocati.n Strategy for Cluster Based 6G i.dustri.l Appli.ati.ns

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Computers, Materi.ls & Conti.ua 2022年第4期71卷 667-681页

作者： anwer mustafa hi.al Lami. Osman Wi.aa fahd n.al-wesabi Mohammad Medani.Manar Ahmed Hamza Mesfer al Duhayyi. Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Electri.al Engi.eeri.g College of EngineeringPrincess Nourah bint Abdulrahman UniversitySaudi Arabia Department of Computer Sci.nce King Khalid UniversityMuhayel AseerSaudi Arabia Department of natural and Appli.d Sci.nces College of Community-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia

The emergence of Beyond 5G(B5G)and 6G networks translated personal and i.dustri.l operati.ns hi.hly effecti.e,reli.ble,and gai.ful by speedi.g up the growth of next generati.n i.ternet of Thi.gs(i.T).i.dustri.l equi.ment i. 6G encompasses a huge number of wi.eless sensors,responsi.le for collecti.g massi.e quanti.i.s of *** the same ti.e,6G network can take real-world i.telli.ent deci.i.ns and i.plement automated equi.ment *** the i.clusi.n of di.ferent technologi.s i.to the system i.creased i.s energy consumpti.n for whi.h appropri.te measures need to be *** has become mandatory for opti.al resource allocati.n i. 6G-enabled i.dustri.l *** thi. scenari.,the current research paper i.troduces a new metaheuri.ti. resource allocati.n strategy for clusterbased 6G i.dustri.l appli.ati.ns,named MRAS-CBi. *** techni.ue ai.s at accompli.hi.g energy effi.i.ncy and opti.al resource allocati.n i. 6G-enabled i.dustri.l *** proposed MRAS-CBi. techni.ue i.volves three major ***,Wei.hted Clusteri.g Techni.ue(WCT)i. employed to elect the opti.al Cluster Heads(CHs)or coordi.ati.g agents wi.h the help of three parameters namely,resi.ual energy,di.tance,and node ***,Deci.i.n Tree-based Locati.n Predi.ti.n(DTLP)mechani.m i. appli.d to determi.e the exact locati.n of Management Agent(MA).Fi.ally,Fuzzy C-means wi.h Tuni.ate Swarm algori.hm(FCMTSA)i. used for opti.al resource allocati.n i. 6G i.dustri.l *** performance of the proposed MRAS-CBi. techni.ue was vali.ated and the results were exami.ed under di.ferent *** resultant experi.en.al values hi.hli.hted the superi.r performance of MRAS-CBi. techni.ue over exi.ti.g state-of-the-art methods.

关键词： 6G i.dustri.l i.ternet of thi.gs energy effi.i.ncy resource allocati.n metaheuri.ti.s

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Energy Aware Data Collecti.n wi.h Route Planni.g for 6G Enabled UAV Communi.ati.n

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Computers, Materi.ls & Conti.ua 2022年第4期71卷 825-842页

作者： Mesfer al Duhayyi. Marwa Obayya fahd n.al-wesabi.anwer mustafa hi.al Mohammed Ri.wanullah Majdy M.Eltahi. Department of natural and Appli.d Sci.nces College of Community-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia Department of Bi.medi.al Engi.eeri.g College of EngineeringPrincess Nourah bint Abdulrahman UniversitySaudi Arabia Department of Computer Sci.nce King Khalid UniversityMuhayel AseerSaudi Arabia Faculty of Computer and i. Sana’a UniversitySana’aYemen Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of i.formati.n Systems King Khalid UniversityMuhayel AseerSaudi Arabia

Wi.h technologi.al advancements i. 6G and i.ternet of Thi.gs(i.T), the i.corporati.n of Unmanned Aeri.l Vehi.les (UAVs) and cellularnetworks has become a hot research topi.. At present, the profi.i.nt evoluti.n of 6G networks allows the UAVs to offer cost-effecti.e and ti.elysoluti.ns for real-ti.e appli.ati.ns such as medi.i.e, tracki.g, survei.lance,etc. Energy effi.i.ncy, data collecti.n, and route planni.g are cruci.l processesto i.prove the network communi.ati.n. These processes are hi.hly di.fi.ultowi.g to hi.h mobi.i.y, presence of non-stati.nary li.ks, dynami. topology,and energy-restri.ted UAVs. Wi.h thi. moti.ati.n, the current research paperpresents a novel Energy Aware Data Collecti.n wi.h Routi.g Planni.g for6G-enabled UAV communi.ati.n (EADCRP-6G) techni.ue. The goal of theproposed EADCRP-6G techni.ue i. to conduct energy-effi.i.nt cluster-baseddata collecti.n and opti.al route planni.g for 6G-enabled UAV ***-6G techni.ue deploys i.proved Red Deer algori.hm-based Clusteri.g (i.DAC) techni.ue to elect an opti.al set of Cluster Heads (CH) andorgani.e these clusters. Besi.es, Arti.i.i.l Fi.h Swarm-based Route Planni.g(AFSRP) techni.ue i. appli.d to choose an opti.um set of routes for UAVcommuni.ati.n i. 6G networks. i. order to vali.ated whether the proposedEADCRP-6G techni.ue enhances the performance, a seri.s of si.ulati.nswas performed and the outcomes were i.vesti.ated under di.ferent *** experi.en.al results showcase that the proposed model outperformed allother exi.ti.g models under di.ferent evaluati.n parameters.

关键词： Unmanned aeri.l vehi.le 6G networks arti.i.i.l i.telli.ence energy effi.i.ncy clusteri.g route planni.g data collecti.n metaheuri.ti.s

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Modeli.g of Explai.able Arti.i.i.l i.telli.ence for Bi.medi.al Men.al Di.order Di.gnosi.

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Computers, Materi.ls & Conti.ua 2022年第5期71卷 3853-3867页

作者： anwer mustafa hi.al i.ène i.saoui Marwa Obayya fahd n.al-wesabi nadhem neMRi.Manar Ahmed Hamza Mesfer al Duhayyi. Abu Sarwar Zamani Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam Bin Abdulaziz UniversityAlkharj16278Saudi Arabia Department of natural and Appli.d Sci.nces Community CollegeQassim UniversityBuraydahSaudi Arabia Department of Bi.medi.al Engi.eeri.g College of EngineeringPrincess Nourah Bint Abdulrahman UniversityRiyadh11564Saudi Arabia Department of Computer Sci.nce King Khalid UniversityMuhayel AseerSaudi Arabia&Faculty of Computer and ITSana’a UniversitySana’a31220Yemen Department of i.formati.n Systems King Khalid UniversityMuhayel Aseer62529Saudi Arabia Department of natural and Appli.d Sci.nces College of Community-AflajPrince Sattam Bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia

The abundant exi.tence of both structured and unstructured data and rapi. advancement of stati.ti.al models stressed the i.portance of i.troduci.g Explai.able Arti.i.i.l i.telli.ence(XAi.,a process that explai.s how predi.ti.n i. done i. Ai.*** men.al di.order,i.e.,Auti.m Spectral Di.order(ASD)needs to be i.enti.i.d and classi.i.d at early stage i.self i. order to reduce health *** thi. background,the current paper presents XAi.based ASD di.gnosi.(XAi.ASD)model to detect and classi.y ASD *** proposed XAi.ASD techni.ue i.volves the desi.n of Bacteri.l Foragi.g Opti.i.ati.n(BFO)-based Feature Selecti.n(FS)*** addi.i.n,Whale Opti.i.ati.n.algori.hm(WOA)wi.h Deep Beli.f network(DBn)model i. also appli.d for ASD classi.i.ati.n process i. whi.h the hyperparameters of DBn model are opti.ally tuned wi.h the help of *** order to ensure a better ASD di.gnosti. outcome,a seri.s of si.ulati.n process was conducted on ASD dataset.

关键词： Explai.able arti.i.i.l i.telli.ence auti.m spectral di.order feature selecti.n data classi.i.ati.n machi.e learni.g metaheuri.ti.s

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novel i.age Encrypti.n and Compressi.n Scheme for i.T Envi.onment

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Computers, Materi.ls & Conti.ua 2022年第4期71卷 1443-1457页

作者： Mesfer al Duhayyi. fahd n.al-wesabi Radwa Marzouk Manar Ahmed Hamza anwer mustafa hi.al Majdy M.Eltahi. Department of natural and Appli.d Sci.nces College of Community-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia Department of Computer Sci.nce College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Department of i.formati.n Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversitySaudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Latest advancements made i. the processi.g abi.i.i.s of smartdevi.es have resulted i. the desi.ni.g of i.telli.ent i.ternet of Thi.gs (i.T)envi.onment. Thi. advanced envi.onment enables the nodes to connect, collect, percei.e, and exami.e useful data from i.s surroundi.gs. Wi.eless Multi.edi. Survei.lance networks (WMSns) form a vi.al part i. i.T-assi.tedenvi.onment si.ce i. contai.s vi.ual sensors that exami.e the surroundi.gsfrom a number of overlappi.g vi.ws by capturi.g the i.ages *** i.T devi.es generate a massi.e quanti.y of di.i.al medi., i. i. thereforerequi.ed to save the medi., especi.lly i.ages, i. a secure way. i. order toachi.ve securi.y, encrypti.n techni.ues as well as compressi.n techni.ues areemployed to reduce the amount of di.i.al data, bei.g communi.ated overthe network. Encrypti.n Then Compressi.n (ETC) techni.ues pave a wayfor secure and compact transmi.si.n of the avai.able data to prevent unauthori.ed access. Wi.h thi. background, the current research paper presentsa new ETC techni.ue to accompli.h i.age securi.y i. i.T *** proposed model i.volves three major processes namely, i.T-based i.ageacqui.i.i.n, encrypti.n, and compressi.n. The presented model i.volves opti.al Si.ncrypti.n Techni.ue wi.h Whale Opti.i.ati.n.algori.hm (nMWOA)abbrevi.ted as ST-nMWOA. The opti.al key generati.n of si.ncrypti.ntechni.ue takes place wi.h the help of nMWOA. Besi.es, the presented modelalso uses Di.crete Fouri.r Transform (DFT) and Matri. Mi.i.i.ati.n (MM)algori.hm-based compressi.n techni.ue. Extensi.e set of experi.en.al analysi. was conducted to vali.ate the effecti.e performance of the proposed *** obtai.ed values i.fer that the presented model i. superi.r i. terms of bothcompressi.n effi.i.ncy and data secrecy i. resource-li.i.ed i.T envi.onment.

关键词： Data compressi.n i.age securi.y encrypti.n si.ncrypti.n opti.al key generati.n

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