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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

Rough singular integrals associated to surfaces of revolution on product spaces

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Acta Mathematica Sinica,English Series 2025年

作者： hussain AL-QASSEM Leslie CHENG Yibiao PAN Mathematics Program Department of Mathematics Statistics and Physics College of Arts and Sciences Qatar University Department of Mathematics Bryn Mawr College Department of Mathematics University of Pittsburgh

We study the Lpboundedness of singular integral operators along surfaces of revolution on product spaces. The Lpboundedness for these operators are obtained under very weak conditions on kernels. Our results are new and they improve several previously known results. Furthermore, they are natural extensions of many known results on singular integrals in the one-parameter setting and they subsume many other corresponding results on the product space setting.

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Ultrasensitive and selective 4-aminophenol chemical sensor development based on nickel oxide nanoparticles decorated carbon nanotube nanocomposites for green environment

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Journal of Environmental Sciences 2017年第3期29卷 27-38页

作者： mohammad Musarraf hussain Chemistry Department Faculty of ScienceKing Abdulaziz UniversityJeddah 21589P.O.Box 80203Saudi Arabia Center of Excellence for Advanced Material Research(CEAMR) King Abdulaziz UniversityJeddah 21589P.O.Box 80203Saudi Arabia

Nickel oxide nanoparticles decorated carbon nanotube nanocomposites （*** NCs） were prepared in a basic medium by using facile wet-chemical routes. The optical, morphological, and structural properties of *** NCs were characterized using Fourier transformed infra-red （FT-IR）, Ultra-violet visible （UV/Vis） spectroscopy, field-emission scanning electron microscopy （FESEM）, X-ray energy dispersed spectroscopy （XEDS）, X-ray photoelectron spectroscopy （XPS）, and powder X-ray diffraction （XRD） methods. Selective 4-aminophenol （4-AP） chemical sensor was developed by a fiat glassy carbon electrode （GCE, surface area： 0.0316 cm2） fabricated with a thin-layer of NCs. Electrochemical responses including higher sensitivity, large dynamic range （LDR）, limit of detection （LOD）, and long-term stability towards 4-AP were obtained using the fabricated chemical sensors. The calibration curve was found linear （R2 = 0.914） over a wide range of 4-AP concentration （0.1 nmol/L-0.1 tool/L）. In perspective of slope （2 x 10.5 gA/gM）, LOD and sensitivity were calculated as 15.0 ＋ 0.1 pM and -6.33 - 10.4 gA/（***） respectively. The synthesized *** NCs using a wet-chemical method is a significant route for the development of ultrasensitive and selective phenolic sensor based on nano-materials for environmental toxic substances. It is suggested that a pioneer and selective development of 4-AP sensitive sensor using *** NCs by a facile and reliable current us voltage （I-V） method for the major application of toxic agents in biological, green environmental, and health-care fields in near future.

关键词： NiO decorated CNT nanocomposltesOptical evaluationFabricationSensitivity4-AminophenolI-V method

Secure Channel Estimation Using Norm Estimation Model for 5G Next Generation Wireless Networks

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Computers, Materials & Continua 2025年第1期82卷 1151-1169页

作者： Khalil Ullah Song Jian Muhammad Naeem Ul Hassan Suliman Khan mohammad Babar Arshad Ahmad Shafiq Ahmad Faculty of Information Engineering and Automation Kunming University of Science and TechnologyKunming650500China Department of Computer Science Abbottabad University of Science and TechnologyHavelianAbbottabad22500Pakistan Department of Computing and Electronics Engineering Middle East CollegeMuscat124Oman Department of CS&IT Pak-Austria Fachhochschule Institute of Applied Sciences and Technology MangHaripur22621Pakistan Industrial Engineering Department College of EngineeringKing Saud UniversityRiyadh11421Saudi Arabia

The emergence of next generation networks(NextG),including 5G and beyond,is reshaping the technological landscape of cellular and mobile *** networks are sufficiently scaled to interconnect billions of users and *** in academia and industry are focusing on technological advancements to achieve highspeed transmission,cell planning,and latency reduction to facilitate emerging applications such as virtual reality,the metaverse,smart cities,smart health,and autonomous *** continuously improves its network functionality to support these *** input multiple output(MIMO)technology offers spectral efficiency,dependability,and overall performance in *** article proposes a secure channel estimation technique in MIMO topology using a norm-estimation model to provide comprehensive insights into protecting NextG network components against adversarial *** technique aims to create long-lasting and secure NextG networks using this extended *** viability of MIMO applications and modern AI-driven methodologies to combat cybersecurity threats are explored in this ***,the proposed model demonstrates high performance in terms of reliability and accuracy,with a 20%reduction in the MalOut-RealOut-Diff metric compared to existing state-of-the-art techniques.

关键词： Next generation networks massive mimo communication network artificial intelligence 5G adversarial attacks channel estimation information security

Engendered nanoparticles for treatment of brain tumors

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Oncology Research 2025年第1期33卷 15-26页

作者： SOROUSH SOLEYMANI mohammad DOROUDIAN MAHDIEH SOEZI ALI BELADI KIARASH ASGARI ASO MOBARAKSHAHI ARYANA AGHAEIPOUR RONAN MACLOUGHLIN Department of Cell and Molecular Biology School of Biological SciencesUniversity of LeicesterLeicesterLE17RHUK Department of Cell and Molecular Biology Faculty of Biological SciencesKharazmi UniversityTehran15719-14911Iran Cancer Epidemiology Research Center Aja University of Medical SciencesTehran14117-18541Iran Medical Biotechnology Research Center Aja University of Medical SciencesTehran14117-18541Iran Department of Life Sciences Faculty of Natural SciencesImperial College LondonLondonSW72AZUK School of Pharmacy and Biomolecular Sciences Royal College of Surgeons in Ireland(RCSI)DublinD02 YN77Ireland Research and Development Science and Emerging TechnologiesAerogen Ltd.Galway Business ParkGalwayH91 HE94Ireland School of Pharmacy and Pharmaceutical Sciences Trinity CollegeDublinD02 PN40Ireland

Brain metastasis and primary glioblastoma multiforme represent the most common and lethal malignant brain *** median survival time is typically less than a year after *** of the major challenges in treating these cancers is the efficiency of the transport of drugs to the central nervous *** blood-brain barrier is cooperating with advanced stages of *** blood-brain barrier poses a significant challenge to delivering systemic medications to brain *** delivery systems have emerged as promising tools for effectively crossing this ***,the development of smart nanoparticles brings new hope for cancer diagnosis and *** nanoparticles improve drug delivery efficiency,allowing for the creation of targeted and stimuli-responsive delivery *** review highlights recent advancements in nanoparticle and smart nanoparticle technologies for brain cancer treatment,exploring the range of nanoparticles under development,their applications,targeting strategies,and the latest progress in enhancing transport across the blood-brain *** also addresses the ongoing challenges and potential benefits of these innovative approaches.

关键词： Nanoparticles Smart nanoparticles Stimuli responsive nanoparticles Targeted nanoparticles Blood-brain barrier(BBB) Brain cancer

A data-mining approach to biomarker identification from protein profiles using discrete stationary wavelet transform

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2008年第11期9卷 863-870页

作者： hussain MONTAZERY-KORDY mohammad Hossein MIRAN-BAYGI mohammad Hassan MORADI Department of Electrical and Computer Engineering Tarbiat Modares University Faculty of Biomedical Engineering Amir Kabir University of Technology

Objective: To develop a new bioinformatic tool based on a data-mining approach for extraction of the most infor- mative proteins that could be used to find the potential biomarkers for the detection of cancer. Methods: Two independent datasets from serum samples of 253 ovarian cancer and 167 breast cancer patients were used. The samples were examined by surface- enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS). The datasets were used to extract the informative proteins using a data-mining method in the discrete stationary wavelet transform domain. As a dimensionality re- duction procedure, the hard thresholding method was applied to reduce the number of wavelet coefficients. Also, a distance measure was used to select the most discriminative coefficients. To find the potential biomarkers using the selected wavelet coefficients, we applied the inverse discrete stationary wavelet transform combined with a two-sided t-test. Results: From the ovarian cancer dataset, a set of five proteins were detected as potential biomarkers that could be used to identify the cancer patients from the healthy cases with accuracy, sensitivity, and specificity of 100%. Also, from the breast cancer dataset, a set of eight proteins were found as the potential biomarkers that could separate the healthy cases from the cancer patients with accuracy of 98.26%, sensitivity of 100%, and specificity of 95.6%. Conclusion: The results have shown that the new bioinformatic tool can be used in combination with the high-throughput proteomic data such as SELDI-TOF MS to find the potential biomarkers with high discriminative power.

关键词： Proteomics Discrete stationary wavelet transform Data mining Feature selection Biomarker Cancer classification

Spatial modeling of solar photovoltaic power plant in Kabul,Afghanistan

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Journal of Mountain Science 2021年第12期18卷 3291-3305页

作者： NASERI mohammad hussainI mohammad Salem IQBAL mohammad Wasim JAWADI hussain Ali PUYA Marzia Afghanistan National Water and Environmental Research Center(ANWERC) Kabul 1006Afghanistan Department of Geology Faculty of GeosciencesBamyan UniversityBamyan 1601Afghanistan School of Sustainable Engineering and the Built Environment Arizona State UniversityTempe AZ 85287-3005USA Department of Engineering Geology and Hydrogeology Kabul Polytechnic UniversityKabul 1006Afghanistan

Energy planning and solar plant site selections are vital strategic decisions and one of the most complex executive challenges in the interconnected *** is essential to study the potential renewable energy sources in Afghanistan to select the most sustainable sites for solar power production in populated *** study is based on the combination of a Geographic Information System,Remote sensing,and multi-criteria decision-making technique to evaluate the optimal placement of photovoltaic solar power plants in the Kabul province,capital of *** models,Analytical Hierarchy Process(AHP)and Analytical Network Process(ANP),were used to select suitable areas for establishing a solar power *** application of the proposed model has been made possible by integrating four constraints such as climate,environmental,topography,and economical which comprised twelve criteria:solar radiation,yearly average rainfall,land slope,aspect,land use,dust,geology and proximity to faults,main roads,Normalized difference vegetation index,urban areas river and water *** findings indicate that there is no considerable difference between the results of both models since both models identified more than 20%of the total area of Kabul province in suitable *** maps conclude that northern and southern parts of Kabul city and the eastern part of Kabul province came to the range of suitable *** can be concluded that Kabul province is a source of sufficient potential for producing solar *** results of this study can support the plans of the Afghanistan government in solar energy production and the implementation of photovoltaic power plants.

关键词： Photovoltaic Spatial modeling AHP ANP Kabul GIS

Nitrate contamination in groundwater of Kabul Province,Afghanistan:Reasons behind and conceptual management framework discourse

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Journal of Mountain Science 2022年第5期19卷 1274-1291页

作者： JAWADI hussain Ali IQBAL mohammad Wasim NASERI mohammad FARAHMAND Asadullah AZIZI Abdul Haseeb EQRAR mohammad Naiem Afghanistan National Water and Environmental Research Center(ANWERC) Kabul 1006Afghanistan Department of Geology Faculty of GeosciencesBamyan UniversityBamyan CityBamyan 1601Afghanistan School of Sustainable Engineering and the Built Environment Arizona State UniversityTempe AZ 85287-8704USA Department of Hydrogeology Ministry of Energy and WaterKabul 1006Afghanistan CITEngineering International Co. LtdTokyoJapan Department of Geology Faculty of GeosciencesKabul UniversityKabul 1006Afghanistan

Groundwater contamination has been on the rise in *** has become a major concern among the policy *** paper aims to propose practical options for the management of nitrate contamination in one of Afghanistan’s groundwater polluted provinces,*** management framework utilized Mann-Kendall and Sen Slope tests to detect nitrate trend and geostatistical analysis option in Arc GIS 10.5 to assess the nitrate *** explore the impact of various management options,a number of legislative documents were *** results indicate a decline in the nitrate storage of Kabul aquifers from 108 mg/L in 2005 to 0.044 mg/L in *** the whole period of the study,the results show that the nitrate volumes remain lower than the nitrate concentration range proposed by World Health Organization(50 mg/L).Groundwater dynamics in Kabul aquifers were influenced by nitrate derived from precipitation and nitrate input from root zones in agricultural ***,different management options for groundwater pollution from nitrate and corresponding authorities,incorporated urban,rural and agriculture,were *** is expected that this study will help policy makers to better manage the nitrate storage of Kabul aquifers by implementing the proposed management options.

关键词： Nitrate concentration Groundwater Afghanistan Effective parameter Management option

Application of the Dermatology Life Quality Index in Clinical Trials of Biologics for Psoriasis

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Chinese Journal of Integrative Medicine 2012年第3期18卷 179-185页

作者： mohammad Khu rshid Azam Basra Sadath hussain Department of Dermatology and Wound Healing Institute of Immunity and Infection Cardiff University School of Medicine

The significance of patient-reported outcomes（PROs） is increasingly being acknowledged and quality of life（QOL） has become an integral element of the assessment of overall burden of *** has been known for its major impact on patients＇ QOL and various generic,dermatology-specific and psoriasis-specific self- administered psychometric instruments have been used over the years to assess the QOL of psoriasis ***,the Dermatology Life Quality Index（DLQI） is the most widely used QOL measure among these measures in psoriasis-related clinical trials. A number of topical and systemic treatments have been used in the management of psoriasis and lately biologics have emerged as a new and promising treatment modality for difficuIt-to-treat *** evidence on the efficacy of these agents has been growing dramatically with QOL being used as one of the primary outcome measures in many clinical *** aim of this paper is to give an overview of the use of the DLQI as an outcome measure for assessing the QOL impact of biologies on psoriasis ***,the efficacy of five commonly used biologics has been compared in terms of their ability to improve the QOL assessed by the *** review has revealed that there is a variation in the efficacy of various biologies in terms of QOL improvement with the mean reduction in the DLQI scores being highest for ustekinumab 90 mg（mean DLQI score reduction=9.5）,followed by infliximab（8.5）,etanercept 50 mg,twice a week（7.7）,adalimumab（6.3）,and alefacept（4.0）.

关键词： psoriasis quality of life biologics Dermatology Life Quality Index