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Journal of Arid Land 2016年第5期8卷 787-798页

作者： Raafat H ABD EL-wahab Botany Department Faculty of ScienceSuez Canal University Science Department Faculty of Basic EducationPublic Authority for Applied Education and Training

Knowledge about plant diversity along disturbance gradients is essential for conservation and management of fragmented coastal *** study examined the effects of human disturbance intensity in coastal habitats of Kuwait on diversity,composition,identity and assemblage of vascular plant *** survey data from 113 plots （5m×5m each） were randomly selected in 51 sites at coastal fragmented habitats at three levels of disturbance intensities （high,moderate and low） and were statistically *** results revealed that about 76% of the recorded species are considered threatened species in Kuwait,most of which are being lost in high disturbed *** led to the dominance of Zygophyllum qatarense,Cornulaca aucheri and Salsola imbricata,which are species of disturbance ***,total plant cover and species diversity were higher in moderate and low disturbed habitats than in high disturbed *** diversity between high and low disturbed habitats was higher than either between high and moderate,or between moderate and low disturbed *** analyses showed statistically significant differences in composition of plant assemblages,which indicate high beta diversity between the habitat *** urbanization and industrialization are among the most serious threats that contribute to declines in biological diversity and rapid fragmentation of coastal habitats in *** protective enclosures in the disturbed habitats,planting endangered and vulnerable species,and establishing a natural reserve at Nuwaiseeb are recommended conservation actions to avoid loss of the fragmented coastal habitats and to facilitate restoration of native plants.

关键词： plant diversity disturbance gradient threatened species habitat fragmentation coastal habitat salt marsh restoration

A Review on Fretting Wear Mechanisms,Models and Numerical Analyses

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Computers, Materials & Continua 2019年第5期59卷 405-432页

作者： Tongyan Yue Magd Abdel wahab State Grid Xinyuan Maintenance Branch BeijingChina Department of Electrical Energy MetalsMechanical Constructions&SystemsSoete LaboratoryFaculty of Engineering and ArchitectureGhent UniversityGhentBelgium Division of Computational Mechanics Ton Duc Thang UniversityHo Chi Minh CityVietnam Faculty of Civil Engineering Ton Duc Thang UniversityHo Chi Minh CityVietnam

Fretting wear is a material damage in contact surfaces due to micro relative displacement between *** causes some general problems in industrial applications,such as loosening of fasteners or sticking in components supposed to move relative to each *** wear is a complicated problem involving material properties of tribosystem and working conditions of *** to these various factors,researchers have studied the process of fretting wear by experiments and numerical modelling *** paper reviews recent literature on the numerical modelling method of fretting *** a briefly introduction on the mechanism of fretting wear,numerical models,which are critical issues for fretting wear modelling,are *** paper is concluded by highlighting possible research topics for future work.

关键词： Fretting wear wear models wear mechanisms numerical modelling

Optimal Deep Belief Network Enabled Cybersecurity Phishing Email Classification

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Computer Systems Science & Engineering 2023年第3期44卷 2701-2713页

作者： Ashit Kumar Dutta T.Meyyappan Basit Qureshi Majed Alsanea Anas Waleed Abulfaraj Manal M.Al Faraj Abdul Rahaman wahab Sait Department of Computer Science and Information Systems College of Applied SciencesAlMaarefa UniversityAd DiriyahRiyadh13713Kingdom of Saudi Arabia Department of Computer Science Alagappa UniversityKaraikudi630003India Department of Computer Science Prince Sultan UniversityRiyadh11586Kingdom of Saudi Arabia Department of Computing Arabeast CollegesRiyadh11583Kingdom of Saudi Arabia Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah23613Kingdom of Saudi Arabia Department of Archives and Communication King Faisal UniversityAl AhsaHofuf31982Kingdom of Saudi Arabia

Recently,developments of Internet and cloud technologies have resulted in a considerable rise in utilization of online media for day to day *** results in illegal access to users’private data and compromises *** is a popular attack which tricked the user into accessing malicious data and gaining the *** identification of phishing emails can be treated as an essential process in the domain of *** article focuses on the design of bio-geography based optimization with deep learning for Phishing Email detection and classification(BBODL-PEDC)*** major intention of the BBODL-PEDC model is to distinguish emails between legitimate and *** BBODL-PEDC model initially performs data pre-processing in three levels namely email cleaning,tokenization,and stop word ***,TF-IDF model is applied for the extraction of useful feature ***,optimal deep belief network(DBN)model is used for the email classification and its efficacy can be boosted by the BBO based hyperparameter tuning *** performance validation of the BBODL-PEDC model can be performed using benchmark dataset and the results are assessed under several *** comparative studies reported the superior outcomes of the BBODL-PEDC model over the recent approaches.

关键词： Cybersecurity phishing email data classification deep learning biogeography based optimization hyperparameter tuning

Performance comparison of zero-Schottky-barrier and doped contacts carbon nanotube transistors with strain applied

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Nano-Micro Letters 2010年第2期2卷 126-133页

作者： Md.Abdul wahab Khairul Alam Department of Electrical and Electronic Engineering United International University Department of Electrical and Electronic Engineering East West University

Atomistic quantum simulation is performed to compare the performance of zero-Schottky-barrier and doped source-drain contacts carbon nanotube field effect transistors(CNTFETs) with strain applied. The doped source-drain contact CNTFETs outperform the Schottky contact devices with and without strain applied. The off-state current in both types of contact is similar with and without strain applied. This is because both types of contact offer very similar potential barrier in off-state. However, the on-state current in doped contact devices is much higher due to better modulation of on-state potential profile, and its variation with strain is sensitive to the device contact type. The on/off current ratio and the inverse subthreshold slope are better with doped source-drain contact, and their variations with strain are relatively less sensitive to the device contact type. The channel transconductance and device switching performance are much better with doped source-drain contact, and their variations with strain are sensitive to device contact type.

关键词： Zero-Schottky-barrier Doped contact Strain Inverse subthreshold slope Intrinsic cut-off frequency

Evaluation of Some Promising Soybean Genotypes to Infestation with Cotton Leafworm (Spodoptera littoralis) under Field Conditions

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Agricultural Sciences 2023年第1期14卷 88-113页

作者： Eman Ibrahim Abdel-wahab Magda Hanna Naroz Food Legumes Research Department Field Crops Research Institute Agricultural Research Center Giza Egypt Economic Entomology and Pesticides Faculty of Agriculture Cairo University Giza Egypt

A two-year study was carried out in Giza Agricultural Experiments and Research Station, Agricultural Research Center (ARC), Giza, Egypt in the 2020 and 2021 summer seasons to evaluate the relative tolerance of ten soybean genotypes for cotton leafworm infestation under field conditions. Soybean genotypes H11L145, H155, H113, H4L4, H15L17, H129, H30, H19L96, Giza 111, and Crawford were distributed in randomized complete blocks design with three replications. Soybean genotypes differed significantly for cotton leafworm at the 6th, 7th, and 8th week from sowing. Low values of cotton leafworm assemblages were recorded for H113, H4L4, H15L17, Giza 111, and H129. Low percentages of the larval survival number and weight, as well as the number of the survival of pupa were recorded by feeding on leaves of genotypes H4F4, H15L17, and Giza 111 under laboratory conditions. There were significant differences among the studied genotypes in most yield attributes in both seasons. Soybean genotypes H15L17, Giza 111, H113, H129, H19L96, and H4L4 gave higher seed yield per ha, meanwhile soybean genotypes H155, H19L96, H30, Giza 111, and H15L17 had higher seed oil content than the other genotypes in both seasons. The number and weight of larvae surviving, as well as the number of pupa survival, were negatively correlated with leaf total phenols and seed oil content. It can be concluded that soybean genotypes H15L17, H4L4, and Giza 111 are promising genotypes with desirable seed oil content for tolerating cotton leafworm i

关键词： Soybean Genotypes Cotton Leafworm Seed Yield Seed Oil Content Phenotypic Correlation

Multiscale Analysis of the Effect of Debris on Fretting Wear Process Using a Semi-Concurrent Method

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Computers, Materials & Continua 2020年第1期62卷 17-35页

作者： Shengjie Wang Tongyan Yue Magd Abdel wahab Soete Laboratory Faculty of Engineering and ArchitectureGhent UniversityTechnologiepark Zwijnaarde 903Zwijnaarde B-9052Belgium State Grid Xinyuan Maintenance Branch BeijingChina Division of Computational Mechanics Ton Duc Thang UniversityHo Chi Minh CityVietnam Faculty of Civil Engineering Ton Duc Thang UniversityHo Chi Minh CityVietnam

Fretting wear is a phenomenon,in which wear happens between two oscillatory moving contact surfaces in microscale *** this paper,the effect of debris between pad and specimen is analyzed by using a semi-concurrent multiscale ***,the macroscale fretting wear model is ***,the part with the wear profile is imported from the macroscale model to a microscale model after running in ***,an effective pad’s radius is extracted by analyzing the contact pressure in order to take into account the effect of the ***,the effective radius is up-scaled from the microscale model to the macroscale model,which is used after running in *** this way,the effect of debris is considered by changing the radius of the pad in the macroscale *** to the smaller number of elements in the microscale model compared with the macroscale model containing the debris layer,the semi-concurrent method proposed in this paper is more computationally ***,the results of this semi-concurrent method show a better agreement with experimental data,compared to the results of the model ignoring the effect of debris.

关键词： Fretting wear debris multiscale analysis semi-concurrent

Review on the Prediction of Residual Stress in Welded Steel Components

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Computers, Materials & Continua 2020年第2期62卷 495-523页

作者： Junyan Ni Xincun Zhuang Magd Abdel wahab Soete Laboratory Faculty of Engineering and ArchitectureGhent UniversityGhentBelgium Institute of Forming Technology and Equipment School of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghaiChina National Engineering Research Center of Die&Mold CAD Shanghai Jiao Tong UniversityShanghaiChina Division of Computational Mechanics Ton Duc Thang UniversityHo Chi MinhVietnam Faculty of Civil Engineering Ton Duc Thang UniversityHo Chi MinhVietnam

Residual stress after welding has negative effects on the service life of welded steel components or *** work reviews three most commonly used methods for predicting residual stress,namely,empirical,semi-empirical and process simulation *** principles adopted by these methods are *** features and limitations of each method are discussed as *** empirical method is the most practical but its accuracy relies heavily on *** theories are employed in the semi-empirical method,while other aspects,such as temperature variation and phase transformation,are simply *** process simulation method has been widely used due to its capability of handling with large and complex *** improve its accuracy and efficiency,several improvements need to be done for each simulation aspect of this method.

关键词： Computational simulation steel welding residual stress

Improvement of Flat Surfaces Quality of Aluminum Alloy 6061-O By A Proposed Trajectory of Ball Burnishing Tool

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Computers, Materials & Continua 2019年第8期61卷 555-568页

作者： Ruba Alghazoul Almohanad Makki Magd Abdel wahab Faculty of Mechanical and Electrical Engineering Al Baath UniversityHomsSyria Institute of Research and Development Duy Tan University03 Quang TrungDa NangVietnam Soete Laboratory Faculty of Engineering and ArchitectureGhent UniversityGentBelgium

Burnishing is a profitable process of surface finishing due to its ability to be automated,which makes burnishing method more desirable than other finishing *** obtain high surface finish,non-stop operation is required for CNC machine and we can attain that by choosing a suitable trajectory of the finishing *** other words,burnishing paths should be multidirectional rather than monotonic,in order to cover uniformly the ***,the burnishing force is also a key parameter of the burnishing process because it determines the degree of plastic deformation,and that makes determining the optimum burnishing force an essential step of the burnishing process a ***,we consider the strategy of ball burnishing path and the burnishing force as variable parameters in this *** this paper,we propose a new strategy of burnishing tool path with trochoid cycles that achieves a multidirectional burnishing of the surface according to various *** into consideration the optimum burnishing force,to improve flat surface finish of AL6061-O samples by reducing the surface roughness parameter(Rz).Experiments carried out on 3-axis milling machine show that the proposed trochoidal path is more effective than the conventional one.

关键词： Ball burnishing surface quality trajectories roughness

Deep Learning with Backtracking Search Optimization Based Skin Lesion Diagnosis Model

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Computers, Materials & Continua 2022年第1期70卷 1297-1313页

作者： C.S.S.Anupama L.Natrayan E.Laxmi Lydia Abdul Rahaman wahab Sait Jose Escorcia-Gutierrez Margarita Gamarra Romany F.Mansour Department of Electronics&Instrumentation Engineering V.R.Siddhartha Engineering CollegeVijayawada520007India Department of Mechanical Engineering Saveetha School of EngineeringSIMATSChennai602105India Department of Computer Science and Engineering Vignan’s Institute of Information TechnologyVisakhapatnam530049India Department of Archives and Communication King Faisal University31982Kingdom of Saudi Arabia Electronic and Telecommunicacions Program Universidad Autonoma del CaribeBarranquilla08001Colombia Department of Computational Science and Electronic Universidad de la CostaCUCBarranquilla08001Colombia Department of Mathematics Faculty of ScienceNew Valley UniversityEl-Kharga72511Egypt

Nowadays,quality improvement and increased accessibility to patient data,at a reasonable cost,are highly challenging tasks in healthcare *** of Things(IoT)and Cloud Computing(CC)architectures are utilized in the development of smart healthcare *** entities can support real-time applications by exploiting massive volumes of data,produced by wearable sensor *** advent of evolutionary computation algorithms andDeep Learning(DL)models has gained significant attention in healthcare diagnosis,especially in decision making *** cancer is the deadliest disease which affects people across the *** skin lesion classification model has a highly important application due to its fine-grained variability in the presence of skin *** current research article presents a new skin lesion diagnosis model i.e.,Deep Learning with Evolutionary Algorithm based Image Segmentation(DL-EAIS)for IoT and cloud-based smart healthcare ***,the dermoscopic images are captured using IoT devices,which are then transmitted to cloud servers for further ***,Backtracking Search optimization Algorithm(BSA)with Entropy-Based Thresholding(EBT)i.e.,BSA-EBT technique is applied in image *** by,Shallow Convolutional Neural Network(SCNN)model is utilized as a feature *** addition,Deep-Kernel Extreme LearningMachine(D-KELM)model is employed as a classification model to determine the class labels of dermoscopic *** extensive set of simulations was conducted to validate the performance of the presented method using benchmark *** experimental outcome infers that the proposed model demonstrated optimal performance over the compared techniques under diverse measures.

关键词： Intelligent models skin lesion dermoscopic images smart healthcare internet of things