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Steel Surface Defect Recognition in Smart Manufacturing Using Deep Ensemble Transfer Learning-Based Techniques

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 231-250页

作者： Tajmal hussain Jongwon Seok Department of Information and Communication Engineering Changwon National UniversityChangwon51140Republic of Korea

Smart manufacturing and Industry 4.0 are transforming traditional manufacturing processes by utilizing innovative technologies such as the artificial intelligence(AI)and internet of things(IoT)to enhance efficiency,reduce costs,and ensure product *** light of the recent advancement of Industry 4.0,identifying defects has become important for ensuring the quality of products during the manufacturing *** this research,we present an ensemble methodology for accurately classifying hot rolled steel surface defects by combining the strengths of four pre-trained convolutional neural network(CNN)architectures:VGG16,VGG19,Xception,and Mobile-Net V2,compensating for their individual *** evaluated our methodology on the Xsteel surface defect dataset(XSDD),which comprises seven different *** ensemble methodology integrated the predictions of individual models through two methods:model averaging and weighted *** evaluation showed that the model averaging ensemble achieved an accuracy of 98.89%,a recall of 98.92%,a precision of 99.05%,and an f1-score of 98.97%,while the weighted averaging ensemble reached an accuracy of 99.72%,a recall of 99.74%,a precision of 99.67%,and an f1-score of 99.70%.The proposed weighted averaging ensemble model outperformed the model averaging method and the individual models in detecting defects in terms of accuracy,recall,precision,and *** analysis with recent studies also showed the superior performance of our methodology.

关键词： Smart manufacturing CNN steel defects ensemble models

Efficient maximum power point tracker based on neural network and sliding-mode control for buck converters

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Clean Energy 2022年第5期6卷 716-725页

作者： hussain Attia khaled Hossin Department of Electrical and Electronic Engineering American University of Ras Al KhaimahRas Al KhaimahUnited Arab Emirates Department of Mechanical and Industrial Engineering American University of Ras Al KhaimahRas Al KhaimahUnited Arab Emirates

This paper presents detailed design steps of an effective control system aiming to increase the solar energy harvested via photovoltaic power-generation *** design of an intelligent maximum power point tracker(MPPT)supported by a robust sliding-mode(SM)controller is discussed in this *** proposed control scheme is designed to track the MPP and provide a smooth system response by removing the overshoot in the load current during any variation in the connected *** a system is suitable for DC-DC buck converter *** study begins with modelling the buck converter for a continuous current mode *** reference voltage of the tracking system is produced by the proposed neural network(NN)*** proposed intelligent MPPT integrated with an SM controller is simulated in a MATLAB®/Simulink®*** simulation results are analysed to investigate and confirm the satisfaction level of the adopted four-serially connected PV-modules *** system performance is evaluated at a light intensity of 500 W/m^(2) and an ambient temperature of 25°*** only the proposed NN algorithm guarantees the MPP tracking response by delivering 100 W at a resistive load of 13Ω,and 200 W at a load of 6.5Ω,respectively,with 99.77%system ***,this simultaneously demonstrates a current spike of~0.5 A when the load is varied from 50%to 100%.The integrated SM controller demonstrates a robust and smooth response,eliminating the existing current spike.

关键词： photovoltaic panel neural network algorithm MPPT sliding-mode controller buck converter

Antibacterial Characterization of Silver Nanoparticles against *** ATCC-15224

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Journal of Materials Science & Technology 2008年第2期24卷 192-196页

作者： M.Raffi f.hussain T.M.Bhatti J.I.Akhter A.Hameed M.M.Hasan Department of Chemical and Materials Engineering Pakistan Institute of Engineering and Applied Sciences(PIEAS)Islamabad-45650Pakistan Department of Microbiology Faculty of Biological SciencesQuaid-i-Azam UniversityIslamabadPakistan Central Analytical facility Division Pakistan Institute of Nuclear Science and Technology(PINSTECH)Islamabad-45650Pakistan Physics Division Pakistan Institute of Nuclear Science and Technology(PINSTECH)Islamabad-45650Pakistan

Silver nanoparticles of mean size 16 nm were synthesized by inert gas condensation （IGC） method. Crystalline structure, morphology and nanoparticles size estimation were conducted by X-ray diffraction （XRD） and transmission electron microscopy （TEM）. Antibacterial activity of these silver nanoparticles as a function of particles concentration against gram-negative bacterium Escherichia coli （E. coli） was carried out in liquid as well as solid growth media. Scanning electron microscopy （SEM） and TEM studies showed that silver nanoparticles after interaction with *** have adhered to and penetrated into the bacterial cells. Antibacterial properties of silver nanoparticles are attributed to their total surface area, as a larger surface to volume ratio of nanoparticles provides more efficient means for enhanced antibacterial activity.

关键词： Silver Nanoparticles Antibacterial Electron microscopy

Dementia in military and veteran populations:a review of risk factors—traumatic brain injury,post-traumatic stress disorder,deployment,and sleep

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Military Medical Research 2022年第3期9卷 351-364页

作者： Zara Raza Syeda f.hussain Suzanne ftouni Gershon Spitz Nick Caplin Russell G.foster Renata S.M.Gomes Research and Innovation Blind Veterans UK12-14 Harcourt StreetLondonW1H 4HDUK BRAVO VICTOR Research12-14 Harcourt StreetLondonW1H 4HDUK Circadian Therapeutics OxfordOX11BYUK School of Psychological Sciences Monash University18 Innovation WalkClayton CampusWellington RoadMelbourneVIC3800Australia Sleep&Circadian Neuroscience Institute(SCNi) Nuffield Department of Clinical NeurosciencesSir William Dunn School of PathologyOxford Molecular Pathology InstituteUniversity of OxfordSouth Parks RoadOxfordOX13RFUK Northern Hub for Veterans and Military families Research Department of NursingMidwifery and HealthFaculty of Health and Life SciencesNorthumbria UniversityNewcastleNE77XAUK

The military population face a unique set of risk factors that may increase the risk of being diagnosed with *** brain injury(TBI)and post-traumatic stress disorder(PTSD)have a higher prevalence in this group in comparison to the civilian *** delving into the individual relationships between TBI and dementia,and PTSD and dementia,we are able to better explore dementia in the military and veteran *** there are some inconsistencies in results,the TBI-dementia association has become more widely ***-tosevere TBI has been found to increase the risk of being diagnosed with Alzheimer’s disease.A correlation between PTSD and dementia has been established,however,whether or not it is a causal relationship remains *** such as blast,combat and chemical exposure may occur during a deployment,along with TBI and/or PTSD diagnosis,and can impact the risk of ***,there is a lack of literature exploring the direct effects of deployment on dementia *** problems have been observed to occur in those following TBI,PTSD and *** sleep has been associated with possible dementia *** limited studies have focused on the link between sleep and dementia in military and veteran populations,sleep is a valuable factor to study due to its association and interconnection with other military/veteran *** review aims to inform of various risk factors to the cognitive health of military members and veterans:TBI,PTSD,deployment,and sleep.

关键词： Dementia Alzheimer’s disease Traumatic brain injury Post-traumatic stress disorder Military Veteran Deployment Sleep

Experimental investigation of photovoltaic systems for performance improvement using water cooling

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Clean Energy 2023年第4期7卷 721-733页

作者： hussain Attia khaled Hossin Muataz Al Hazza Department of Electrical and Electronic Engineering American University of Ras Al KhaimahRas Al KhaimahUnited Arab Emirates Department of Mechanical and Industrial Engineering American University of Ras Al KhaimahRas Al KhaimahUnited Arab Emirates Mechanical Engineering Department University of BenghaziLibya

This research aims to analyse the comparative performance of two identical photovoltaic(PV)panels with load variations and integrating an automated water-cooling process under the climatic conditions of the United Arab *** work also presents the steps of system design,implementation and performance evaluation of the proposed PV system,and all electrical,control and mechanical components along with how they were integrated within a 100-W PV ***/Simulink?was used only to simulate the behaviours of the PV panel under wide ranges of incident sunlight and ambient *** tests were performed for a day-long operation during a clear summer *** experimental results demonstrate an improvement in the PV system performance compared with the uncooled system by~1.6%in terms of total harvested energy using the proposed water-cooling process with a frequency of 2 minutes of cooling operation every 30 minutes during day hours.

关键词： photovoltaic panel water-cooling power curves MATLAB/Simulink experimental investigation

Traumatic brain injury and sight loss in military and veteran populations–a review

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Military Medical Research 2022年第1期9卷 71-85页

作者： Syeda f.hussain Zara Raza Andrew T.G.Cash Thomas Zampieri Robert A.Mazzoli Randy H.Kardon Renata S.M.Gomes Research&Innovation Blind Veterans UK12-14 Harcourt StreetLondon W1H 4HDUK. Bravo Victor Research12-14 Harcourt StreetLondon W1H 4HDUK Blinded Veterans Association 1101 King StreetSuite 300AlexandriaVirginia 22314USA Department of Ophthalmology Madigan Army Medical Center9040 Jackson AvenueTacomaWashington 98431USA lowa City VA Health Care System and Iowa City VA Center for the Prevention and Treatment of Visual Loss Iowa CityIowa 52246USA department of Ophthalmology and Visual Sciences The University of IowaIowa CityIowa 52242USA Northern Hub for Veterans and Military families Research Department of NursingMidwifery and HealthFaculty of Health and Life SciencesNorthumbria UniversityNewcastle NE77XAUK.

War and combat exposure pose great risks to the vision *** recently,vision related deficiencies and impairments have become common with the increased use of powerful explosive devices and the subsequent rise in incidence of traumatic brain injury(TBI).Studies have looked at the effects of injury severity,aetiology of injury and the stage at which visual problems become *** was little discrepancy found between the frequencies or types of visual dysfunctions across blast and non-blast related groups,however complete sight loss appeared to occur only in those who had a blast-related ***,the more severe the injury,the greater the likelihood of specific visual disturbances occurring,and a study found total sight loss to only occur in cases with greater *** of mild TBI(mTBI)is *** able to identify a potential TBI via visual symptoms may offer a new avenue for diagnosis.

关键词： Traumatic brain injury Visual impairment Military Veteran

M_(4)X_(3) MXenes:Application in Energy Storage Devices

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Nano-Micro Letters 2024年第10期16卷 522-542页

作者： Iftikhar hussain Waqas Ul Arifeen Shahid Ali Khan Sikandar Aftab Muhammad Sufyan Javed Sajjad hussain Muhammad Ahmad Xi Chen Jiyun Zhao PRosaiah khaled fahmi fawy Adnan Younis Sumanta Sahoo Kaili Zhang Department of Mechanical Engineering City University of Hong Kong83 Tat Chee AvenueKowloon TongHong KongPeople's Republic of China School of Mechanical Engineering Yeungnam UniversityDaehak-roGyeongsan-siGyeongbuk-do 38541South Korea Department of Semiconductor Systems Engineering and Clean Energy Sejong UniversitySeoul 05006Republic of Korea School of Physical Science and Technology Lanzhou UniversityLanzhou 730000People's Republic of China Department of Nanotechnology and Advanced Materials Engineering Sejong UniversitySeoul 05006Republic of Korea Department of Physics Saveetha School of EngineeringSaveetha Institute of Medical and Technical Sciences(SIMATS)ThandalamChennai 602105India Department of Chemistry Faculty of ScienceKing Khalid UniversityP.O.Box 900461413 AbhaSaudi Arabia Department of Physics College of ScienceUnited Arab Emirates UniversityP.O.Box 15551Al-AinUnited Arab Emirates School of Chemical Engineering Yeungnam UniversityGyeongsanGyeongbuk 38541South Korea

MXene has garnered widespread recognition in the scientific com-munity due to its remarkable properties,including excellent thermal stability,high conductivity,good hydrophilicity and dispersibility,easy processability,tunable surface properties,and admirable *** have been categorized into different families based on the number of M and X layers in M_(n+1)X_(n),such as M_(2)X,M_(3)X_(2),M_(4)X_(3),and,recently,M_(5)X_(4).Among these families,M_(2)X and M_(3)X_(2),par-ticularly Ti_(3)C_(2),have been greatly explored while limited studies have been given to M_(5)X_(4)MXene ***,studies on the M_(4)X_(3)MXene family have developed recently,hence,demanding a compilation of evaluated ***,this review provides a systematic overview of the latest advancements in M_(4)X_(3)MXenes,focusing on their properties and applications in energy storage *** objective of this review is to provide guidance to researchers on fostering M_(4)X_(3)MXene-based nanomaterials,not only for energy storage devices but also for broader applications.

关键词： MXene M_(4)X_(3)MXenes 2D materials Energy storage Properties

Power swing and voltage collapse identification schemes for correct distance relay operation in power system

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Journal of Central South University 2013年第4期20卷 988-1000页

作者： Ahmad f. Abidin Azah Mohamed hussain Shareef Department of Electrical Electronic and Systems Engineering Universiti Kebangsaan Malaysia

The new techniques were presented for preventing undesirable distance relay maloperation during voltage collapse and power swings in transmission grids. Initially, the work focused on the development of a fast detection of voltage collapse and a three-phase fault at transmission lines by using under impedance fault detector (UIfD) and support vector machine (SVM). Likewise, an intelligent approach was developed to discriminate a fault, stable swing and unstable swing, for correct distance relay operation by using the S-transform and the probabilistic neural network (PNN). To illustrate the effectiveness of the proposed techniques, simulations were carried out on the IEEE 39-bus test system using the PSS/E and MATLAB software.

关键词： under impedance fault detector distance relay fault voltage collapse

Efficient Simplification Methods for Generating High Quality LODs of 3D Meshes

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Journal of Computer Science & Technology 2009年第3期24卷 604-612,F0003页

作者： Muhammad hussain Department of Computer Science King Saud University

Two simplification algorithms are proposed for automatic decimation of polygonal models, and for generating their LODs. Each algorithm orders vertices according to their priority values and then removes them iteratively. for setting the priority value of each vertex, exploiting normal field of its one-ring neighborhood, we introduce a new measure of geometric fidelity that reflects well the local geometric features of the vertex. After a vertex is selected, using other measures of geometric distortion that are based on normal field deviation and distance measure, it is decided which of the edges incident on the vertex is to be collapsed for removing it. The collapsed edge is substituted with a new vertex whose position is found by minimizing the local quadric error measure. A comparison with the state-of-the-art algorithms reveals that the proposed algorithms are simple to implement, are computationally more efficient, generate LODs with better quality, and preserve salient features even after drastic simplification. The methods are useful for applications such as 3D computer games, virtual reality, where focus is on fast running time, reduced memory overhead, and high quality LODs.

关键词： polygonal models simplification LOD modeling multi-resolution modeling