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Intrusion Detection System Through Deep Learning in Routing MANET Networks

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Intelligent Automation & Soft Computing 2023年第7期37卷 269-281页

作者： zainab Ali Abbood DoguÇagdaşAtilla Çagatay Aydin Department Electrical and Computer Engineering Altinbas UniversityIstanbulTurkey Department Computer Technology Engineering Al-Esraa UniversityBaghdadIraq Electric Autonomous and Unmanned Vehicles Application and Research CentreAltinbas UniversityIstanbulTurkey Faculty of Engineering and Architecture Altinbas UniversityIstanbulTurkey Department Electrical and Electronics Engineering Ege UniversityIzmirTurkey

Deep learning(DL)is a subdivision of machine learning(ML)that employs numerous algorithms,each of which provides various explanations of the data it consumes;mobile ad-hoc networks(MANET)are growing in *** reasons including node mobility,due to MANET’s potential to provide small-cost solutions for real-world contact challenges,decentralized management,and restricted bandwidth,MANETs are more vulnerable to security *** protecting MANETs from attack,encryption and authentication schemes have their ***,deep learning(DL)approaches in intrusion detection sys-tems(IDS)can adapt to the changing environment of MANETs and allow a sys-tem to make intrusion decisions while learning about its mobility in the *** are a secondary deﬁance system for mobile ad-hoc networks *** since they monitor network trafﬁc and report anything ***,many scientists have employed deep neural networks(DNNs)to address intrusion detection *** paper used MANET to recognize com-plex patterns by focusing on security standards through efﬁciency determination and identifying malicious nodes,and mitigating network attacks using the three algorithms presented Cascading Back Propagation Neural Network(CBPNN),Feedforward-Neural-Network(FNN),and Cascading-Back-Propagation-Neural-Network(CBPNN)(FFNN).In addition to Convolutional-Neural-Network(CNN),these primary forms of deep neural network(DNN)building designs are widely used to improve the performance of intrusion detection systems(IDS)and the use of IDS in conjunction with machine learning(ML).Further-more,machine learning(ML)techniques than their statistical and logical methods provide MANET network learning capabilities and encourage adaptation to differ-ent *** with another current model,The proposed model has better average receiving packet(ARP)and end-to-end(E2E)*** results have been obtained from CBP,FFNN and CNN 74%,82%and 85%,respectively,by the ti

关键词： ARP CBPNN CNN DNN DL E2E FFNN IDS ML MANET security

Numerical Investigation of the Pulsatile Flow of Viscous Fluid in Constricted Wall Channel with Thermal Radiation

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Advances in Applied Mathematics and Mechanics 2023年第4期15卷 1001-1022页

作者： Amjad Ali zainab Bukhari Hamayun Farooq Zaheer Abbas Centre for Advanced Studies in Pure and Applied Mathematics(CASPAM) Bahauddin Zakariya UniversityMultan 60800Pakistan Department of Mathematics Islamia University of BahawalpurBahawalpur 63100Pakistan

The main theme of the current article is to investigate the heat transfer in the pulsatile flow of an electrically conducting viscous fluid in a constricted channel under the effect of the magnetic field and thermal *** unsteady governing equations simplified for low conducting fluids are solved numerically by finite difference method using stream-vorticity function *** influence of the flow parameters such as the Hartmann number(magnetic parameter),Strouhal number(flow pulsation parameter),Prandtl number,and radiation parameter is studied on the relevant flow *** influence of different emerging parameters on the skin friction coefficient and Nusselt number are examined,as *** general,the profiles are observed to exhibit a relatively more regular pattern upstream of the construction than that downstream of the constriction.

关键词： Constricted channel pulsatileflow thermal radiation magneticﬁeld Strouhal number Prandtl number

New application of microbial fuel cell-based biosensor for monitoring the quality of actual potato chips’processing wastewater

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Waste Disposal and Sustainable Energy 2019年第3期1卷 227-235页

作者： Ahmed Y.Radeef zainab Z.Ismail Department of Environmental Engineering University of BaghdadBaghdadIraq

In this study,a dual-chamber microbial fuel cell(MFC)fed with actual potato chips’processing wastewater(PCPW)was tested as a *** performance of MFC-based biosensor was evaluated in terms of the current measurement range,toxicity detection and sensitivity,and the operational *** results revealed that the MFC can simply be converted to an online biosensor unit to detect the harmful effect of suspended solids and acidic content in the actual PCPW on the anodic attached biofilm and the values of the generated current as well.A notable decrease in the current values was observed indicating the adverse effects of the harmful matters in the PCPW fed to the biosensor *** results proposed a competition between the harmful components and the favorable substrate in binding to the redox *** excellent fitting was obtained between the experimental and predicted results by I_(Km) model with determination coefficient(R^(2))and mean-square-error values of 0.927 and 0.363,***,a new approach was developed based on direct measurement of actual field data to replace the conventional statistical methods.

关键词： Microbial fuel cell Biosensor Modeling Potato chips processing wastewater Biodegradation

Emotion detection on webpages using biosensors integrated to a window-based dynamic control system

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International Journal of Intelligent Computing and Cybernetics 2022年第2期15卷 277-301页

作者： Fatima Isiaka Salihu Aish Abdulkarim Kassim Mwitondi zainab Adamu Computer Science Sheffield Hallam UniversitySheffieldUK Federal University Dutse DutseNigeria Computing Department Sheffield Hallam UniversitySheffieldUK Ahmadu Bello University ZariaNigeria

Purpose-Detecting emotion on user experience of web applications and browsing is important in many *** designers and developers find such approach quite useful in enhancing navigational features of webpages,and biomedical personnel regularly use computer simulations to monitor and control the behaviour of *** the other hand,law enforcement agents rely on human physiological functions to determine the likelihood of falsehood in *** often,online user experience is studied via tangible measures such as task completion time,surveys and comprehensive tests from which data attributes are *** of users’emotion and behaviour in some of these cases depends mostly on task completion time and number of clicks per given time ***,such approaches are generally subjective and rely heavily on distributional assumptions making the results prone to recording ***/methodology/approach-The authors propose a novel method-a window dynamic control system that addresses the foregoing *** data were obtained from laboratory experiments during which forty-four volunteers had their synchronised physiological readings,skin conductance response(SCR),skin temperature(ST),eye movement behaviour and users’activity attributes taken using *** windowbased dynamic control system(PHYCOB I)is integrated to the biosensor which collects secondary data attributes from these synchronised physiological readings and uses them for two *** both detection of optimal emotional responses and users’stress *** method’s novelty derives from its ability to integrate physiological readings and eye movement records to identify hidden correlates on a ***-Results show that the control system detects basic emotions and outperforms other conventional models in terms of both accuracy and reliability,when subjected to model comparison that is,the average recoverable natural structures for the three models with

关键词： Skin conductance response Skin temperature Eye tracker sensors Human physiological functions Online behaviour Dynamic control system

Probing the intrinsic optical quality of CVD grown MoS2

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Nano Research 2017年第5期10卷 1608-1617页

作者： Amina Zafar Haiyan Nan zainab Zafar Zhangting Wu Jie Jiang Yumeng You Zhenhua Ni Department of Physics and Key Laboratory of MEMS of the Ministry of Education Southeast University Nanjing 211189 China Ordered Matter Science Research Center Southeast University Nanjing 211189 China

Optical emission efficiency of two-dimensional layered transition metal dichalcogenides （TMDs） is one of the most important parameters affecting their optoelectronic performance. The optimization of the growth parameters by chemical vapor deposition （CVD） to achieve optoelectronic-grade quality TMDs is, therefore, highly desirable. Here, we present a systematic photoluminescence （PL） spectroscopic approach to assess the intrinsic optical and crystalline quality of CVD grown MoS2 （CVD MoS2）. We propose the use of the intensity ratio between the PL measured in air and vacuum as an effective way to monitor the intrinsic optical quality of CVD MoS2. Low-temperature PL measurements are also used to evaluate the structural defects in MoS2, via defect-associated bound exciton emission, which well correlates with the field-effect carrier mobility of MoS2 grown at different temperatures. This work therefore provides a sensitive, noninvasive method to characterize the optical properties of TMDs, allowing the tuning of the growth parameters for the development of optoelectronic devices.

关键词： transition metaldichalcogenides MoS2 chemical vapor deposition photoluminescence defect mobility

Factors Promoting Retention of Nurses in Three Private Hospitals of Lahore: A Cross Sectional Descriptive Survey

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Novel Framework of Segmentation 3D MRI of Brain Tumors

Open Journal of Nursing（护理学期刊） 2024年第7期 344页

作者： zainab Suleman Najma Balquees Anwar Sadaf Younis Alya Bilquees Anwar Naeema Khan Syed Saemul Hassan

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Computers, Materials & Continua 2023年第2期74卷 3489-3502页

作者： Ibrahim Mahmoud El-Henawy Mostafa Elbaz zainab H.Ali Noha Sakr Department of Computer Science Faculty of Computers and InformaticsZagazig UniversityZagazigEgypt Department of Computer Science Faculty of Computers and InformaticsKafrelsheikh UniversityKafrelsheikhEgypt Department of Embedded Network Sys.and Tec. Faculty of Artificial IntelligenceKafrelsheikh UniversityKafrelsheikhEgypt Computers Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansouraEgypt

Medical image segmentation is a crucial process for computer-aided diagnosis and *** image segmentation refers to portioning the images into small,disjointed parts for simplifying the processes of analysis and *** and speckle noise are different types of noise in magnetic resonance imaging(MRI)that affect the accuracy of the segmentation process ***,image enhancement has a significant role in MRI *** paper proposes a novel framework that uses 3D MRI images from Kaggle and applies different diverse models to remove Rician and speckle noise using the best possible noise-free *** proposed techniques consider the values of Peak Signal to Noise Ratio(PSNR)and the level of noise as inputs to the attention-U-Net model for segmentation of the *** framework has been divided into three stages:removing speckle and Rician noise,the segmentation stage,and the feature extraction *** framework presents solutions for each problem at a different stage of the *** the first stage,the framework uses Vibrational Mode Decomposition(VMD)along with Block-matching and 3D filtering(Bm3D)algorithms to remove the ***,the most significant Rician noise-free images are passed to the three different methods:Deep Residual Network(DeRNet),Dilated Convolution Auto-encoder Denoising Network(Di-Conv-AE-Net),andDenoising Generative Adversarial Network(DGAN-Net)for removing the speckle *** Bm3D have achieved PSNR values for levels of noise(0,0.25,0.5,0.75)for reducing the Rician noise by(35.243,32.135,28.214,24.124)and(36.11,31.212,26.215,24.123)*** framework also achieved PSNR values for removing the speckle noise process for each level as follows:(34.146,30.313,28.125,24.001),(33.112,29.103,27.110,24.194),and(32.113,28.017,26.193,23.121)forDeRNet,Di-Conv-AE-Net,and DGAN-Net,*** experiments that have been conducted have proved the efficiency of the proposed framework a

关键词： MRI Rician noise speckle noise segmentation deep learning

The flow behavior of powder stearin-based methyl ester sulfonates and the effect of glidant

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Particuology 2023年第9期80卷 148-156页

作者： Zulina Abd Maurad Luqman Chuah Abdullah Mohd Shamsul Anuar Nor Nadiah Abdul Karim Shah zainab Idris Malaysian Palm Oil Board 6Persiaran InstitusiBandar Baru Bangi43000SelangorMalaysia Department of Chemical and Environmental Engineering Faculty of EngineeringUniversiti Putra MalaysiaSerdangSelangor43400Malaysia Department of Process and Food Technology Faculty of EngineeringUniversiti Putra MalaysiaSerdangSelangor43400Malaysia

The preparation and behavior of powder stearin-based methyl ester sulfonates(MES)with the addition of builder as a glidant agent was *** is an anionic surfactant and its performance is equivalent to petroleum-based linear alkylbenzene sulfonates(LAS),the workhorses of the detergent *** the same time,zeolites or soda ash were the alternative builders for non-phosphate-based *** behavior of powder MES properties was measured in terms of morphology,particle size,cohesion,caking,and *** that,these palm stearin-based MES of carbon chain 16–18 with ratios of 98:2,80:20,and 60:40 in flakes were ground using a high shear mixer by 23,000 rpm to produce powder *** the particle size of MES powder can reduce the powder's cohesion,caking,and *** addition of zeolite or soda ash as a glidant in powdered MES can improve the caking *** high stearic in MES greatly influenced getting fine particle powders and required more glidant *** powder MES with excellent powder characteristics can perform well as a bio-based cleaning product.

关键词： Methyl ester sulfonates Caking Compaction Cohesion Glidant

The fate of prazosin and levonorgestrel after electrochemical degradation process: Monitoring by-products using LC-TOF/MS

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Journal of Environmental Sciences 2018年第12期30卷 134-146页

作者： Fouad Fadhil Al-Qaim zainab Haider Mussa Ali Yuzir Jalifah Latip Mohamed Rozali Othman Malaysia-Japan International Institute of Technology Universiti Teknologi Malaysia Department of Chemistry Faculty of Science for Women University of Babylon School of Chemical Sciences and Food Technology Faculty of Science and Technology Universiti Kebangsaan Malaysia (UKM) Centre for Water Research and Analysis (ALIR) Faculty of Science and Technology Universiti Kebangsaan Malaysia (UKM)

Prazosin（PRZ） and levonorgestrel（LNG） are widely used as an anti-disease drugs due to their biological activity in the human body. The frequent detection of these compounds in water samples requires alternative technologies for the removal of both compounds. After electrochemical degradation of PRZ and LNG, the parent compounds could be completely removed after treatment, but the identification and characterization of by-products are necessary as well. In this study, the effects of NaCl concentration and applied voltage were investigated during the electrochemical degradation process. The results revealed that the increase of NaCl concentration and applied voltage could promote the generation of hypochlorite OCl-and then enhance the degradation of PRZ and LNG. After initial study, 6 V and 0.2 g NaCl were selected for further experiments（96% and 99% removal of PRZ and LNG after 40 min, respectively）. Energy consumption was also evaluated and calculated for PRZ and LNG at 3, 6 and 8 V. Solid phase extraction（SPE） method plays an important role in enhancing the detection limit of by-products. Furthermore, characterization and identification of chlorinated and non-chlorinated by-products were conducted using an accurate liquid chromatography-time of flight/mass spectrometry LC-TOF/MS instrument. The monitoring of products during the electrochemical degradation process was performed at6 V and 0.2 g NaCl in a 50 m L solution. The results indicated that two chlorinated products were formed during the electrochemical process. The toxicity of by-products toward E. coli bacteria was investigated at 37°C and 20 hr incubation time.

关键词： Prazosin Levonorgestrel Electrochemical degradation Solid phase extraction Chlorinated by-products Toxicity