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A Learning Based Brain Tumor Detection System

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Computers, Materials & Continua 2019年第6期59卷 713-727页

作者： sultan Noman Qasem Amar Nazar Attia Qamar Shahaboddin Shamshirband Ahmad Karim Computer Science Department College of Computer and information SciencesAl Imam Mohammad Ibn Saud Islamic University(IMSIU)RiyadhSaudi Arabia Computer Science Department Faculty of Applied SciencesTaiz UniversityTaizYemen Department of Computer Science Bahauddin Zakariya UniversityPakistan Department of Information Technology Bahauddin Zakariya UniversityPakistan Department for Management of Science and Technology Development Ton Duc Thang UniversityHo Chi Minh CityVietnam Faculty of Information Technology Ton Duc Thang UniversityHo Chi Minh CityVietnam

Brain tumor is one of the most dangerous disease that causes due to uncontrollable and abnormal cell *** this paper,we have used MrI brain scan in comparison with CT brain scan as it is less harmful to detect brain *** considered watershed segmentation technique for brain tumor *** proposed methodology is divided as follows:pre-processing,computing foreground applying watershed,extract and supply features to machine learning ***,this study is tested on big data set of images and we achieved acceptable accuracy from K-NN classification algorithm in detection of brain tumor.

关键词： Magnetic resonance imaging brain tumor watershed segmentation K-NN classification

CrISPr-Cas9 mediated phage therapy as an alternative to antibiotics

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Animal Diseases 2023年第4期3卷 231-241页

作者： Fikre Birhanu Balcha sultan Abda Neja Faculty of Veterinary Medicine Hawassa UniversityP.O.Box 05HawassaEthiopia Institute of Bioscience and Technology Texas A&M University2121 West Holcombe BlvdHoustonTX77030USA

Inappropriate use of antibiotics is globally creating public health hazards associated with antibiotic *** often acquire antibiotic resistance by altering their genes through mutation or acquisition of plasmid-encoding resistance *** treat drug-resistant strains of bacteria,the recently developed CrISPr-Cas9 system might be an alternative molecular tool to conventional *** disables antibiotic-resistance genes(plasmids)or deactivates bacterial virulence factors and sensitizes drug-resistant bacteria through site-specific cleavage of crucial domains of their *** molecular tool uses phages as vehicles for CrISPr-cas9 delivery into *** phages are species-specific and natural predators of bacteria,they are capable of easily injecting their DNA to target *** CrISPr system is packaged into phagemid vectors,in such a way that the bacteria containing the antibiotic-resistance plasmid sequence or that containing specific DNA sequences were made to be *** CrISPr delivery,Cas9 is programmed to recognize target sequences through the guide rNA thereby causing double-strand cleavage of targeted bacterial DNA or loss of drug resistance plasmid,which results in cell ***,the safety and efficacy of this newly developed biotechnology tool and the biocontrol product need to be further refined for its usage in clinical translation.

关键词： CrISPr-Cas9 Bacteriophage Phagemid Antibiotic-resistant

A review of optimization methods for computation offloading in edge computing networks

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Digital Communications and Networks 2023年第2期9卷 450-461页

作者： Kuanishbay Sadatdiynov Laizhong Cui Lei Zhang Joshua Zhexue Huang Salman Salloum Mohammad sultan Mahmud College of Computer Science and Software Engineering Shenzhen UniversityShenzhen518061China

Handling the massive amount of data generated by Smart Mobile Devices(SMDs)is a challenging computational *** Computing is an emerging computation paradigm that is employed to conquer this *** can bring computation power closer to the end devices to reduce their computation latency and energy ***,this paradigm increases the computational ability of SMDs by collaboration with edge *** is achieved by computation offloading from the mobile devices to the edge nodes or ***,not all applications benefit from computation offloading,which is only suitable for certain types of *** properties,SMD capability,wireless channel state,and other factors must be counted when making computation offloading ***,optimization methods are important tools in scheduling computation offloading tasks in Edge Computing *** this paper,we review six types of optimization methods-they are Lyapunov optimization,convex optimization,heuristic techniques,game theory,machine learning,and *** each type,we focus on the objective functions,application areas,types of offloading methods,evaluation methods,as well as the time complexity of the proposed *** discuss a few research problems that are still *** purpose for this review is to provide a concise summary that can help new researchers get started with their computation offloading researches for Edge Computing networks.

关键词： Edge computing Computation offloading Latency and energy consumption minimization

Intelligent DoS Attack Detection with Congestion Control Technique for VANETs

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Computers, Materials & Continua 2022年第7期72卷 141-156页

作者： r.Gopi Mahantesh Mathapati B.Prasad sultan Ahmad Fahd N.Al-Wesabi Manal Abdullah Alohali Anwer Mustafa Hilal Department of Computer Science and Engineering Dhanalakshmi Srinivasan Engineering CollegePerambalur621212India Department of Computer Science and Engineering RajaRajeswari College of EngineeringBengaluru560074India Department of Information Technology Vignan’s Institute of Information TechnologyVisakhapatnam530049India Department of Computer Science College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlkharj11942Saudi Arabia Department of Computer Science College of Science&Arts at MahayilKing Khalid UniversityMuhayel Aseer62529Saudi Arabia&Faculty of Computer and ITSana’a UniversitySana’a15347Yemen Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11564Saudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia

VehicularAd hoc Network(VANET)has become an integral part of Intelligent Transportation Systems(ITS)in today’s *** is a network that can be heavily scaled up with a number of vehicles and road side units that keep fluctuating in real *** is susceptible to security issues,particularly DoS attacks,owing to maximum unpredictability in ***,effective identification and the classification of attacks have become the major requirements for secure data transmission in *** the same time,congestion control is also one of the key research problems in VANET which aims at minimizing the time expended on roads and calculating travel time as well as waiting time at intersections,for a *** this motivation,the current research paper presents an intelligent DoS attack detection with Congestion Control(IDoS-CC)technique for *** presented IDoSCC technique involves two-stage processes namely,Teaching and Learning Based Optimization(TLBO)-based Congestion Control(TLBO-CC)and Gated recurrent Unit(GrU)-based DoS detection(GrU-DoSD).The goal of IDoS-CC technique is to reduce the level of congestion and detect the attacks that exist in the *** algorithm is also involved in IDoS-CC technique for optimization of the routes taken by vehicles via traffic signals and to minimize the congestion on a particular route instantaneously so as to assure minimal fuel *** is applied to avoid congestion on ***,GrU-DoSD model is employed as a classification model to effectively discriminate the compromised and genuine vehicles in the *** outcomes from a series of simulation analyses highlight the supremacy of the proposed IDoS-CC technique as it reduced the congestion and successfully identified the DoS attacks in network.

关键词： VANET intelligent transportation systems congestion control attack detection dos attack deep learning

Automated Brain Tumor Diagnosis Using Deep residual U-Net Segmentation Model

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Computers, Materials & Continua 2023年第1期74卷 2179-2194页

作者： r.Poonguzhali sultan Ahmad P.Thiruvannamalai Sivasankar S.Anantha Babu Pranav Joshi Gyanendra Prasad Joshi Sung Won Kim Department of Computer Science and Engineering Periyar Maniammai Institute of Science and TechnologyThanjavur613403India Department of Computer Science College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlkharjSaudi Arabia Department of Computer Science and Engineering Jain Deemed to-be UniversityBangalore560069India Department of Neurology Annapurna Neuro HospitalKathmandu44600Nepal Department of Computer Science and Engineering Sejong UniversitySeoul05006Korea Department of Information and Communication Engineering Yeungnam UniversityGyeongsan-siGyeongbuk-do38541Korea

Automated segmentation and classification of biomedical images act as a vital part of the diagnosis of brain tumors(BT).A primary tumor brain analysis suggests a quicker response from treatment that utilizes for improving patient survival *** location and classification of BTs from huge medicinal images database,obtained from routine medical tasks with manual processes are a higher cost together in effort and *** automatic recognition,place,and classifier process was desired and *** study introduces anAutomatedDeepresidualU-Net Segmentation with Classification model(ADrU-SCM)for Brain Tumor *** presentedADrUSCM model majorly focuses on the segmentation and classification of *** accomplish this,the presented ADrU-SCM model involves wiener filtering(WF)based preprocessing to eradicate the noise that exists in *** addition,the ADrU-SCM model follows deep residual U-Net segmentation model to determine the affected brain ***,VGG-19 model is exploited as a feature ***,tunicate swarm optimization(TSO)with gated recurrent unit(GrU)model is applied as a classification model and the TSO algorithm effectually tunes *** performance validation of the ADrU-SCM model was tested utilizing FigShare dataset and the outcomes pointed out the better performance of the ADrU-SCM approach on recent approaches.

关键词： Brain tumor diagnosis image classification biomedical images image segmentation deep learning

Slope Stability and the rainfall Effect Analysis by Using 2D Physical and Numerical Method

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Slope Stability and the Rainfall Effect Analysis by Using 2D...

作者： Mossa Abdulrahman sultan 绍兴文理学院

学位级别：硕士

边坡稳定性评价是岩土工程的重要方面。用于分析的输入参数是决定性因素,必须准确地确定它们。现场调查,室内实验测试和反演分析是确定输入参数的重要工具。边坡稳定性分析可以明确人工或自然边坡（例如路堤,路堤,开挖和垃圾填埋场）的... 详细信息

边坡稳定性评价是岩土工程的重要方面。用于分析的输入参数是决定性因素,必须准确地确定它们。现场调查,室内实验测试和反演分析是确定输入参数的重要工具。边坡稳定性分析可以明确人工或自然边坡（例如路堤,路堤,开挖和垃圾填埋场）的安全和经济性质。本论文在对研究区工程地质条件进行调查分析的基础上,采用物理模型试验与快速拉格朗日数值模拟方法FLAC开展二维边坡的稳定性分析,考虑到降雨入渗的影响提出了边坡失稳和多层效应影响的预测方法,并对其边坡稳定性进行了分析。采用石英砂以及高岭土混合物的开展基于人工降雨的边坡物理模型试验,用于模拟测试的仪器沿传感器的斜坡中线和两个角度平缓倾斜（30°）和陡坡（45°）嵌入,以确定入渗行为及其破坏模式。试验结果表明,降雨强度的增加不会改变边坡的破坏方式,间歇降雨比连续降雨略大,而且间歇降雨的破坏规模比连续降雨更大。二维分析方法形式已在岩土工程中使用了数十年,主要用于评价岩土边坡的稳定性。在推导安全方程的一般因子之前,本文概述了用于进行这些数值方法分析的几个基本假设和原理。FLAC 3D软件代码允许岩土工程师对现有自然边坡,未加固的人工边坡或带有岩石加固的边坡进行有限元边坡稳定性分析。与FLAC3D集成的计算机程序使查找急性失效表面成为可能自动,并显示相应的安全因素。我们将此开发应用于实际案例。数值模拟结果表明,不良软弱夹层的厚度增加会增加滑动区域并影响滑坡破坏模式。鉴于软弱夹层对边坡稳定性影响的理论和实验研究,软弱夹层对岩质边坡破坏模式及安全系数的影响。

关键词：边坡稳定性 FLAC-3D 物理模型测试故障模式降雨量

Efficient Communication in Wireless Sensor Networks Using Optimized Energy Efficient Engroove Leach Clustering Protocol

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Tsinghua Science and Technology 2024年第4期29卷 985-1001页

作者： N.Meenakshi sultan Ahmad A.V.Prabu J.Nageswara rao Nashwan Adnan Othman Hikmat A.M.Abdeljaber r.Sekar Jabeen Nazeer SrM Institute of Science and Technology KattankulathurChennai 603203India Department of Computer Science College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlkharj 11942Saudi Arabia University Center for research and Development(UCrD) Department of Computer Science and EngineeringChandigarh UniversityGharuanMohali 140413India Department of ECE Koneru Lakshmaiah Education FoundationVaddeswaramGuntur 522502India Department of Computer Science and Engineering Lakireddy Balireddy College of Engineering(A)NTR District 521230India Department of Computer Engineering College of EngineeringKnowledge UniversityErbil 44001Iraq Department of Computer Science Faculty of Information TechnologyApplied Science Private UniversityAmman 11937Jordan Department of Electronics and Communication Engineering(ECE) School of EngineeringPresidency UniversityBangalore 834001India

The Wireless Sensor Network(WSN)is a network that is constructed in regions that are inaccessible to human *** widespread deployment of wireless micro sensors will make it possible to conduct accurate environmental monitoring for a use in both civil and military *** make use of these data to monitor and keep track of the physical data of the surrounding environment in order to ensure the sustainability of the *** data have to be picked up by the sensor,and then sent to the sink node where they may be *** nodes of the WSNs are powered by batteries,therefore they eventually run out of *** energy restriction has an effect on the network life span and environmental *** objective of this study is to further improve the Engroove Leach(EL)protocol’s energy efficiency so that the network can operate for a very long time while consuming the least amount of *** lifespan of WSNs is being extended often using clustering and routing *** Meta Inspired Hawks Fragment Optimization(MIHFO)system,which is based on passive clustering,is used in this study to do *** cluster head is chosen based on the nodes’residual energy,distance to neighbors,distance to base station,node degree,and node *** on distance,residual energy,and node degree,an algorithm known as Heuristic Wing Antfly Optimization(HWAFO)selects the optimum path between the cluster head and Base Station(BS).They examine the number of nodes that are active,their energy consumption,and the number of data packets that the BS *** overall experimentation is carried out under the MATLAB *** the analysis,it has been discovered that the suggested approach yields noticeably superior outcomes in terms of throughput,packet delivery and drop ratio,and average energy consumption.

关键词： wireless sensor networks energy efficient engroove leach protocol meta inspired Hawks fragment optimization heuristic wing antfly optimization

Ultra-thin vertical tft photosensor and photosynapse based on au-doped-graphene under transition metal selenide reaction

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Journal of Materials Science & Technology 2024年第16期183卷 215-222页

作者： Ting Kang Adila rani Wanqi ren M Junaid sultan Nae-Eung Lee Tae Geun Kim School of Electrical Engineering Korea UniversitySeoul 02841South Korea School of Advanced Materials Science&Engineering Sungkyunkwan UniversityGyeonggi-do 16419South Korea

The development of artificial photosensitive synapses with high sensitivity and biomimetic properties that combine innovative concepts and neuromorphic architectures is crucial to achieving highly integrated and flexible intelligent visual ***,graphene heterostructure-based photosensitive synaptic transistors have been extensively studied for this ***,compared to traditional transistors,vertical structure thin film transistors(VTFTs)with ultra-short channels and advantages,such as high integration,have yet to be investigated in photosensitive ***,we report an ultra-thin VTFT featuring a graphene/W_(x)Se_(x-1)van der Waals heterostructure that combines photonic and neuromorphic *** demonstrate a VTFT in which the channel layer is formed by covalently bonded W_(x)Se_(x-1)nanomaterials produced by introducing Se atoms on the surface of a tungsten metal thin film deposited via radio-frequency *** structure successfully simulated the main synaptic function,exhib-ited photosensitive synaptic responses to ultraviolet(λ=365 nm)light,and demonstrated highly reliable electrical ***,the incorporation of gold nanoparticles changed the photosensitive synaptic response properties of the graphene/W_(x)Se_(x-1)heterostructure from excitatory to inhibitory,show-ing a responsivity of about∼14 A W-1,which was attributed to the heterojunction interface resonant effects and efficient charge transfer induced by localized surface *** further enabled optical artificial synaptic applications while operating with low voltage spikes and low light *** work provides a novel strategy for integrating and developing biological and nano-electronic systems.

关键词： Ultra-thin Vertical TFT Au nanoparticles Photo sensor Photo responsivity Photo synapse

Keggin-type H_4PVMo_(11)O_(40)-based catalysts for the isobutane selective oxidation

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Science China Chemistry 2010年第9期53卷 2039-2046页

作者： PAUL Sébastien sultan Manzoor BOrDES-rICHArD Elisabeth Université Lille Nord de France ECLilleUnité de Catalyse et de Chimie du Solide(UMR CNRS 8181)Cité Scientifique Université Lille Nord de France ENSCLUnité de Catalyse et de Chimie du Solide(UMR CNRS 8181)Cité Scientifique

Cesium heteropolysalts Cs3PMo12O40 and HCs3PVMo11O40 were synthesized by modifying the preparation conditions in order to get materials with a much higher surface area than the original Keggin-type heteropolyacids(H3PMo12O40 and H4PVMo11O40).These solids were used as carriers for the dispersion of H4PVMo11O40 heteropolyacid by the incipient wetness impregnation *** textural and structural properties of supports and catalysts were examined by scanning electron microscopy,N2 adsorption-desorption isotherms and raman *** supported catalysts were studied before and after red/ox pretreatments by X-ray photoelectron spectroscopy,which showed that both the surface composition and oxidized to reduced species ratio depend on the used *** catalytic performances of these novel supported catalysts in the selective oxidation of isobutane to methacrylic acid and methacrolein were *** best catalytic properties were obtained when H4PVMo11O40 was supported on *** isobutane conversion and yield of the desired oxygenates increased along the unsupported H4PVMo11O40ries.

关键词： cesium heteropolysalts supports supported H4PVMo11O40 red/ox XPS isobutane selective oxidation Keggin-type heteropolycompounds