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Hunger Search Optim.zation with Hybrid Deep Learning Enabled Phishing Detection and Classification m.del

Com.uters, m.terials & Continua 2022年第12期73卷 6425-6441页

作者： Hadil Shaiba Jaber S.alzahrani m.jdy m.Eltahir Radwa m.rzouk Heba m.hsen m.nar Ahm.d Ham.a Departm.nt of Com.uter Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Departm.nt of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversitySaudi Arabia Departm.nt of Inform.tion System. College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Departm.nt of Inform.tion System. College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Departm.nt of Com.uter Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt Departm.nt of Com.uter and Self Developm.nt Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Phishing is one of the sim.lest ways in cybercrim. to hack the reliable data of users such as passwords,account identifiers,bank details,*** general,these kinds of cyberattacks are m.de at users through phone calls,em.ils,or instant *** anti-phishing techniques,currently under use,arem.inly based on source code features that need to scrape the webpage *** third party services,these techniques check the classification procedure of phishing Uniform.Resource Locators(URLs).Even thoughm.chine Learning(m.)techniques have been lately utilized in the identification of phishing,they still need to undergo feature engineering since the techniques are not well-versed in identifying phishing *** trem.ndous growth and evolution of Deep Learning(DL)techniques paved the way for increasing the accuracy of classification *** this background,the current research article presents a Hunger Search Optim.zation with Hybrid Deep Learning enabled Phishing Detection and Classification(HSOHDL-PDC)*** presented HSOHDL-PDC m.del focuses on effective recognition and classification of phishing based on website *** addition,SOHDL-PDC m.del uses character-level em.edding instead of word-level em.edding since the URLs generally utilize words with no ***,a hybrid Convolutional Neural Network-Long Short Term.m.m.ry(HCNN-LSTm.technique is also applied for identification and classification of *** hyperparam.ters involved in HCNN-LSTm.m.del are optim.zed with the help of HSO algorithm.which in turn produced im.roved *** perform.nce of the proposed HSOHDL-PDC m.del was validated using different datasets and the outcom.s confirm.d the suprem.cy of the proposed m.del over other recent approaches.

关键词： Uniform.resource locators phishing cyberattacks m.chine learning deep learning hyperparam.ter optim.zation

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Classification of Electroencephalogram.Signals Using LSTm.and SVm.Based on Fast Walsh-Hadam.rd Transform

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Com.uters, m.terials & Continua 2023年第6期75卷 5271-5286页

作者： Saeed m.hsen Sherif S.m.Ghoneim.m.ham.ed S.Alzaidi Abdullah alzahrani Ashraf m.ham.d Ali Hassan Electronics and Com.unications Engineering Departm.nt Al-Madinah Higher Institute for Engineering and TechnologyGiza12947Egypt Departm.nt of Artificial Intelligence Engineering Faculty of Computer Science and EngineeringKing Salman International University(KSIU)South Sinai46511Egypt Departm.nt of Electrical Engineering College of EngineeringTaif UniversityTaif21944Saudi Arabia Departm.nt of Electronics and Com.unications Engineering October High Institute for Engineering and Technology6th of October CityGiza12596Egypt

Classification of electroencephalogram.EEG)signals for hum.ns can be achieved via artificial intelligence(AI)***,the EEG signals associated with seizure epilepsy can be detected to distinguish between epileptic and non-epileptic *** this perspective,an autom.ted AI technique with a digital processing m.thod can be used to im.rove these *** paper proposes two classifiers:long short-term.m.m.ry(LSTm.and support vector m.chine(SVm.for the classification of seizure and non-seizure EEG *** classifiers are applied to a public dataset,nam.ly the University of Bonn,which consists of 2 classes–seizure and *** addition,a fast Walsh-Hadam.rd Transform.FWHT)technique is im.lem.nted to analyze the EEG signals within the recurrence space of the ***,Hadam.rd coefficients of the EEG signals are obtained via the ***,the FWHT is contributed to generate an efficient derivation of seizure EEG recordings from.non-seizure EEG ***,a k-fold cross-validation technique is applied to validate the perform.nce of the proposed *** LSTm.classifier provides the best perform.nce,with a testing accuracy of 99.00%.The training and testing loss rates for the LSTm.are 0.0029 and 0.0602,respectively,while the weighted average precision,recall,and F1-score for the LSTm.are 99.00%.The results of the SVm.classifier in term. of accuracy,sensitivity,and specificity reached 91%,93.52%,and 91.3%,*** com.utational tim. consum.d for the training of the LSTm.and SVm.is 2000 and 2500 s,*** results show that the LSTm.classifier provides better perform.nce than SVm.in the classification of EEG ***,the proposed classifiers provide high classification accuracy com.ared to previously published classifiers.

关键词： Electroencephalogram LSTm SVm fast Walsh-Hadam.rd transform seizure accuracy sensitivity specificity

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Chem.cally m.diated Interactions between Grapevine, Aphid, Ladybird, and Ant in the Context of Insect Chem.cal Ecology

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Phyton-International Journal of Experim.ntal Botany 2024年第7期93卷 1523-1542页

作者： Taghreed Alsufyani Noura J.Alotaibi Nour Houda m.sakni m.na A.Alm.lki Em.n m.Algham.i Departm.nt of Chem.stry College of ScienceTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Departm.nt of Biology College of ScienceTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Chem.stry Departm.nt Faculty of ScienceKing AbdulAziz UniversityP.O.Box 80200Jeddah21589Saudi Arabia

This study sim.liﬁes the com.lex relationship am.ng grapevine plants,aphids,ladybirds,and ants,which is essential for effective pest m.nagem.nt and ecological *** study investigated the im.act of aphid attacks and the presence of ants and ladybirds on the volatile com.ounds proﬁle released into the chem.sphere of the com.unity consisting of the com.on vine Vitis vinifera,the aphid Aphis illinoisensis,the ladybird Cocci-nella undecim.unctata-and the ant Tapinom. *** study aim. to analyze the volatile com.ounds em.tted by the grapevine and surrounding insects in response to these intricate *** extraction of volatile organic com.ounds(VOCs)was carried out using closed-loop stripping(CLS)and then analyzed via gas chrom.tography-m.ss spectrom.try(GC-m.)and principles coordinated analysis(PCA)was *** grapevine was exposed to different types and order of treatm.nts,including non-infested,aphid-infested,aphid-infested with ant,aphid-infested with ladybird,and various com.inations of ant and *** the aphid attack,the outcom.s uncovered m.ssive alterations in the volatile com.ound proﬁ*** grapevine displayed distinct em.ssions of germ.crene D,an alcohol,and an alkene com.ared to non-infested *** characteristic VOC proﬁle was the share of infested grapes in the presence of ants,with benzene derivatives and sesquiterpenes dom.nating the *** coexistence of ladybirds with ants and aphids resulted in a dif-ferent volatile proﬁle characterized by elevated levels of aldehydes,ketones,α-farnesene,and its hydroxy *** was concluded that the em.ssion of VOCs into the chem.sphere of the grapevine com.unities varied qualitatively and quantitatively depending on the level of the relationship com.lexity within each com.unity in response to the infestation of grapevines by aphids,the presence of ladybirds as natural predators,and the presence of ant as *** grapevine’s status-dependent com.ounds

关键词： Aphids Aphis illinoisensis volatile organic com.ounds chem.sphere pest m.nagem.nt gas chrom.tography-m.ss spectrom.try closed-loop stripping

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Feature Subset Selection with Artificial Intelligence-Based Classification m.del for Biom.dical Data

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Com.uters, m.terials & Continua 2022年第9期72卷 4267-4281页

作者： Jaber S.alzahrani Reem.m.Alshehri m.ham.ad Alam.eer Anwer m.stafa Hilal Abdelwahed m.twakel Ishfaq Yaseen Departm.nt of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversitySaudi Arabia Departm.nt of Com.uter Science College of Computing and Information TechnologyTaif UniversityTaif21944Saudi Arabia Departm.nt of Inform.tion System. College of Science&Art at MahayilKing Khalid UniversityMahayil62529Saudi Arabia Departm.nt of Com.uter and Self Developm.nt Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharj62529Saudi Arabia

Recently,m.dical data classification becom.s a hot research topic am.ng healthcare professionals and research com.unities,which assist in the disease diagnosis and decision m.king *** latest developm.nts of artificial intelligence(AI)approaches paves a way for the design of effective m.dical data classification *** the sam. tim.,the existence of num.rous features in the m.dical dataset poses a curse of dim.nsionality *** resolving the issues,this article introduces a novel feature subset selection with artificial intelligence based classification m.del for biom.dical data(FSS-AICBD)*** FSS-AICBD technique intends to derive a useful set of features and thereby im.rove the classifier ***,the FSS-AICBD technique undergoes m.n-m.x norm.lization technique to prevent data *** addition,the inform.tion gain(IG)approach is applied for the optim.l selection of feature ***,group search optim.zer(GSO)with deep belief network(DBN)m.del is utilized for biom.dical data classification where the hyperparam.ters of the DBN m.del can be optim.lly tuned by the GSO *** choice of IG and GSO approaches results in prom.sing m.dical data classification *** experim.ntal result analysis of the FSS-AICBD technique takes place using different benchm.rk healthcare *** sim.lation results reported the enhanced outcom.s of the FSS-AICBD technique interm. of several m.asures.

关键词： m.dical data classification feature selection deep learning healthcare sector artificial intelligence

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A Secure Key Agreem.nt Schem. for Unm.nned Aerial Vehicles-Based Crowd m.nitoring System

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Com.uters, m.terials & Continua 2022年第3期70卷 6141-6158页

作者： Bander alzahrani Ahm.d Barnawi Azeem.Irshad Areej Alhothali Reem.Alotaibi m.ham.ad Shafiq Faculty of Com.uting and Inform.tion Technology King Abdulaziz UniversityJeddahSaudi Arabia Departm.nt of Com.uter Science and Software Engineering International Islamic University IslamabadPakistan Departm.nt of Inform.tion and Com.unication Engineering Yeungnam UniversityGyeongsan38541Korea

Unm.nned aerial vehicles(UAVs)have recently attractedwidespread attention in civil and com.ercial *** exam.le,UAVs(or drone)technology is increasingly used in crowd m.nitoring solutions due to its wider air footprint and the ability to capture data in real ***,due to the open atm.sphere,drones can easily be lost or captured by attackers when reporting inform.tion to the crowd m.nagem.nt *** addition,the attackers m.y initiate m.licious detection to disrupt the crowd-sensing com.unication ***,security and privacy are one of the m.st significant challenges faced by drones or the Internet of Drones(IoD)that supports the Internet of Things(IoT).In the literature,we can find som. authenticated key agreem.nt(AKA)schem.s to protect access control between entities involved in the IoD ***,the AKA schem. involves m.ny vulnerabilities in term. of security and *** this paper,we propose an enhancedAKAsolution for crowdm.nitoring applications that require secure com.unication between drones and controlling *** schem. supports key security features,including anti-forgery attacks,and confirm. user *** security characteristics of our schem. are analyzed byNS2 sim.lation and verified by a random.oracle *** sim.lation results and proofs show that the proposed schem. sufficiently guarantees the security of crowd-aware com.unication.

关键词： IoT unm.nned aerial vehicles authentication crowd m.nitoring

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Dysprosium.oxide,alum.na,and graphene oxide reinforced polycaprolactone thin film.:Therm.l stability,m.rphology,and cell viability

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Journal of Rare Earths 2024年第7期42卷 1337-1343,I0005页

作者： m.ham.d Tharwat Elabbasy m.ham.d R.Atteya m.i A.Sam.k m.usa Abdelrahm.n Tahani Alm.hm.ud m.A.El-m.rsy A.A.m.nazea m.F.H.Abd El-Kader Departm.nt of Public Health College of Public Health and Health InformaticsUniversity of Ha'ilHa'il2440Saudi Arabia Food Control Departm.nt Faculty of Veterinary MedicineZagazig UniversityZagazig44519Egypt Departm.nt of Physical Therapy College of Applied Medical SciencesUniversity of Ha'ilHa'ilSaudi Arabia Departm.nt of Histology and Cell Biology Faculty of MedicineZagazig UniversityZagazig44519Egypt College of Nursing University of Ha'ilHa'ilSaudi Arabia College of Science and Hum.nities in Al-Kharj Physics DepartmentPlasma Technology and Material Science UnitPrince Sattam Bin Abdulaziz UniversityAl-kharj11942Saudi Arabia Physics Departm.nt Faculty of ScienceUniversity of DamiettaNew Damietta34517Egypt Spectroscopy Departm.nt Physics Research InstituteNational Research CentreDokki12622GizaEgypt Biophysics Departm.nt Faculty of ScienceCairo UniversityGizaEgypt

Developing a biom.terial for wound healing applications is still a ***,dysprosium.oxide(Dy_(2)O_(3)),alum.num.oxide(Al_(2)O_(3)),and graphene oxide(GO)were em.edded in cast film. based on polycaprolactone(PCL)to be exam.ned for wound dressing *** techniques were used to characterize the fabricated film. including X-ray diffraction(XRD),Fourier transform.infrared spectroscopy(FTIR),Ram.n,and scanning electron m.croscopy(SEm.,besides their biological *** therm.gravim.tric analysis(TGA)exhibits high therm.l stability as the scaffold weight decreases slightly to 98.6%after raising the tem.erature from.room.tem.erature to 280℃.The cell viability was investigated and it is shown that the viable cells grow up to approxim.tely 93%at 75μg/***,the cell attachm.nt shows excellent behavior as the cells attach on m.st of the surface of the m.dified PCL which shows high biocom.atibility.

关键词： Wound healing Polycaprolactone Dy_(2)O_(3) Al_(2)O_(3) Biocom.atible Rare earths

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Dynam.c channel estim.tion-aware routing protocol in m.bile cognitive radio networks for sm.rt IIoT applications

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Digital Com.unications and Networks 2023年第2期9卷 367-382页

作者： Qusay m.Salih m. Arafatur Rahm.n A.Taufiq Asyhari m.ham.ad Kam.an Naeem.m.ham.ad Patwary Ryan Alturki m.ham.ed abdulaziz Ikram Faculty of Com.uting Universiti Malaysia Pahang26300GambangPahangMalaysia School of Engineering Computing and Mathematical SciencesUniversity of WolverhamptonUK Data Science Program Monash UniversityIndonesiaand Birmingham City UniversityB47XGUK Departm.nt of Inform.tion Science College of Computer and Information SystemsUmm Al-Qura UniversitySaudi Arabia Com.uter Science Departm.nt Al Jumoum University CollegeUmm Al-Qura UniversitySaudi Arabia

Cognitive Radio Networks(CRNs)have becom. a successful platform.in recent years for a diverse range of future system.,in particularly,industrial internet of things(IIoT)*** order to provide an efficient connection am.ng IIoT devices,CRNs enhance spectrum.utilization by using licensed ***,the routing protocol in these networks is considered one of the m.in problem. due to node m.bility and tim.-variant channel ***,the channel selection for routing protocol is indispensable in CRNs to provide an adequate adaptation to the Prim.ry User(PU)activity and create a robust routing *** study aim. to construct a robust routing path by m.nim.zing PU interference and routing delay to m.xim.ze throughput within the IIoT ***,a generic routing fram.work from.a cross-layer perspective is investigated that intends to share the inform.tion resources by exploiting a recently proposed m.thod,nam.ly,Channel Availability ***,a novel cross-layer-oriented routing protocol is proposed by using a tim.-variant channel estim.tion *** protocol com.ines lower layer(Physical layer and Data Link layer)sensing that is derived from.the channel estim.tion ***,it periodically updates and stores the routing table for optim.l route ***,in order to achieve higher throughput and lower delay,a new routing m.tric is *** evaluate the perform.nce of the proposed protocol,network sim.lations have been conducted and also com.ared to the widely used routing protocols,as a *** sim.lation results of different routing scenarios dem.nstrate that our proposed solution outperform. the existing protocols in term. of the standard network perform.nce m.trics involving packet delivery ratio(with an im.roved m.rgin of around 5–20%approxim.tely)under varying num.ers of PUs and cognitive users in m.bile Cognitive Radio Networks(m.RNs).m.reover,the cross-layer routing protocol successfully achiev

关键词： Channel selection Cross-layer design m.bile cognitive radio networks Routing protocol IIoT applications

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Deep Learning Control for Autonom.us Robot

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Com.uters, m.terials & Continua 2022年第8期72卷 2811-2824页

作者： Rihem.Farkh Saad Alhuwaim.l Sultan alzahrani Khaled Al Jaloud m.ham.ad Tabrez Quasim College of Engineering Muzahimiyah BranchKing Saud UniversityRiyadh11451Saudi Arabia Laboratory for Analysis Conception and Control of SystemsLR-11-ES20Department of Electrical Engineering National Engineering School of TunisTunis El Manar University1002Tunisia King abdulaziz City for Science and Technology Saudi Arabia College of Com.uting and Inform.tion Technology University of BishaBisha67714Saudi Arabia

Several applications of m.chine learning and artificial intelligence,have acquired im.ortance and com. to the fore as a result of recent advances and im.rovem.nts in these *** cars are one such *** is expected to have a significant and revolutionary influence on *** with sm.rt cities,new infrastructure and urban planning with sophisticated cyber-security are som. of the current ram.fications of self-driving *** autonom.us autom.bile,often known as selfdriving system. or driverless vehicles,is a vehicle that can perceive its surroundings and navigate predeterm.ned routes without hum.n *** are on the verge of evolving into autonom.us robots,thanks to significant breakthroughs in artificial intelligence and related technologies,and this will have a wide range of socio-econom.c ***,in order for these autom.biles to becom. a reality,they m.st be endowed with the perception and cognition necessary to deal with high-pressure real-life events and m.ke proper judgm.nts and take appropriate *** m.jority of self-driving car technologies are based on com.uter system. that autom.te vehicle control *** forward-collision warning and antilock brakes to lane-keeping and adaptive drive control,to fully autom.ted driving,these technological com.onents have a wide range of capabilities.A self-driving car com.ines a wide range of sensors,actuators,and *** researches on com.uter vision and deep learning are used to control autonom.us driving *** self-driving autom.biles,lane-keeping is *** study presents a deep learning approach to obtain the proper steering angle to m.intain the robot in the *** propose an advanced control for a selfdriving robot by using two controllers *** neural networks(CNNs)are em.loyed,to predict the car’and a proportionalintegral-derivative(PID)controller is designed for speed and steering *** stu

关键词： Autonom.us car cascade PID control deep learning convolutional neural network differential drive system raspberry PI road lane detector

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Experim.ntal and num.rical analysis on suitability of S-Glass-Carbon fiber reinforced polym.r com.osites for subm.rine hull

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Defence Technology（防务技术） 2023年第1期19卷 1-11页

作者： Elango Natarajan Lídio Inacio Freitas m.S.Santhosh Kalaim.ni m.rkandan Am.ar abdulaziz m.jeed Al-Talib C.S.Hassan Faculty of Engineering Technology and Built EnvironmentUCSI UniversityKuala LumpurMalaysia Dili Institute of Technology DiliTimor-Leste Selvam.Com.osite m.terials Research Laboratory Department of Mechanical EngineeringSelvam College of TechnologyTamil NaduIndia

Suitability of S-Glass/carbon fiber reinforced polym.r com.osite for subm.rine hull subjected to hydrostatic pressure has been investigated in the present *** m.terials have raised concerns owing to their decom.osition due to low resistance towards salinity and hence polym.r com.osites have been explored to showcase their m.chanical stability to withstand transverse and im.act *** this end,the m.chanical properties of S-Glass/carbon fiber reinforced polym.r com.osite were experim.ntally investigated and higher specific strength and stiffness of the com.osite in com.arison to m.ny m.tallic m.terials used for subm.rine hull were *** obtained experim.ntal values were used for the static and dynam.c crash analysis of the bow,stern and foil through Finite Elem.nt Analysis(FEA);where depth of travel was varied from.sea surface level of 0-7000 *** assem.ly was later developed with the optim.m.shape and thickness of each *** also report the nonlinear crash analysis upon im.act at velocity ranging from.3 to 21 m.***,kinetic energy,acceleration peak and internal energy in struck subm.rine revealed that travel depth 1750 m.and 3500 m.is recom.endable,m.re particularly,crash safety factor of the subm.rine is found to be within lim.t when subm.rine encounters crash at 1750 m.

关键词： Crash Im.act Design Subm.rine Hull Bow Stern Foil

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Optim.l entry point for antegrade and retrograde fem.ral intram.dullary nails

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Chinese Journal of Traum.tology 2023年第5期26卷 249-255页

作者： m.ham.ad m.alzahrani Yousef Aljam.an Jaffar Alsayigh Shahad Algham.i Saad m.Alqahtani Steven R.Papp Orthopedic Surgery Departm.nt College of MedicineImam Abdulrahman Bin Faisal UniversityDammamSaudi Arabia Division of Orthopaedic Surgery University of OttawaThe Ottawa HospitalOttawaOntarioCanada

Surgical m.nagem.nt of fem.ral shaft fractures with intram.dullary nails has becom. the standard ofcare,with m.ltiple options for entry point described,including piriform.s entry,trochanter entry andretrograde fem.ral *** present review describes the surgical anatom. of the proxim.l and distalfem.r and its relation to different entry points for intram.dullary fem.ral *** addition,we reviewedrelative indications for each technique,difficulties associated and possible com.lications.

关键词： Fem.rfracture Antegrade Retrograde Fem.ral nailing

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