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Facial Image-Based Autism Detection:A Comparative Study of Deep Neural Network Classifiers

Computers, Materials & Continua 2024年第1期78卷 105-126页

作者： Tayyaba Farhat Sheeraz Akram Hatoon SAlSagri Zulfiqar Ali awais ahmad Arfan Jaffar Faculty of Computer Science and Information Technology The Superior UniversityLahore54600Pakistan Intelligent Data Visual Computing Research(IDVCR) Faculty of Computer Science and Information TechnologyThe Superior UniversityLahore54600Pakistan Information Systems Department College of Computer and Information SciencesImam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh12571Saudi Arabia School of Computer Science and Electronic Engineering(CSEE) University of EssexWivenhoe ParkColchesterCO43SQUK

Autism Spectrum Disorder(ASD)is a neurodevelopmental condition characterized by significant challenges in social interaction,communication,and repetitive *** and precise ASD detection is crucial,particularly in regions with limited diagnostic resources like *** study aims to conduct an extensive comparative analysis of various machine learning classifiers for ASD detection using facial images to identify an accurate and cost-effective solution tailored to the local *** research involves experimentation with VGG16 and MobileNet models,exploring different batch sizes,optimizers,and learning rate *** addition,the“Orange”machine learning tool is employed to evaluate classifier performance and automated image processing capabilities are utilized within the *** findings unequivocally establish VGG16 as the most effective classifier with a 5-fold cross-validation ***,VGG16,with a batch size of 2 and the Adam optimizer,trained for 100 epochs,achieves a remarkable validation accuracy of 99% and a testing accuracy of 87%.Furthermore,the model achieves an F1 score of 88%,precision of 85%,and recall of 90% on test *** validate the practical applicability of the VGG16 model with 5-fold cross-validation,the study conducts further testing on a dataset sourced fromautism centers in Pakistan,resulting in an accuracy rate of 85%.This reaffirms the model’s suitability for real-world ASD *** research offers valuable insights into classifier performance,emphasizing the potential of machine learning to deliver precise and accessible ASD diagnoses via facial image analysis.

关键词： Autism Autism Spectrum Disorder(ASD) disease segmentation features optimization deep learning models facial images classification

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Enhancing ChatGPT’s Querying Capability with Voice-Based Interaction and CNN-Based Impair Vision Detection Model

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Computers, Materials & Continua 2024年第3期78卷 3129-3150页

作者： awais ahmad Sohail Jabbar Sheeraz Akram Anand Paul Umar Raza Nuha Mohammed Alshuqayran College of Computer and Information Sciences Imam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudia Arabia 2 School of Computer Science and EngineeringKyungpook National UniversityDaegu41566South Korea 3 Department of EngineeringManchester Metropolitan UniversityManchesterM156BHUK

This paper presents an innovative approach to enhance the querying capability of ChatGPT,a conversational artificial intelligence model,by incorporating voice-based interaction and a convolutional neural network(CNN)-based impaired vision detection *** proposed system aims to improve user experience and accessibility by allowing users to interact with ChatGPT using voice ***,a CNN-based model is employed to detect impairments in user vision,enabling the system to adapt its responses and provide appropriate *** research tackles head-on the challenges of user experience and inclusivity in artificial intelligence(AI).It underscores our commitment to overcoming these obstacles,making ChatGPT more accessible and valuable for a broader *** integration of voice-based interaction and impaired vision detection represents a novel approach to conversational ***,this innovation transcends novelty;it carries the potential to profoundly impact the lives of users,particularly those with visual *** modular approach to system design ensures adaptability and scalability,critical for the practical implementation of these ***,the solution places the user at its *** responses for those with visual impairments demonstrates AI’s potential to not only understand but also accommodate individual needs and preferences.

关键词： Accessibility in conversational AI CNN-based impair vision detection ChatGPT voice-based interaction recommender system

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A Framework for Systematic Classification of Assets for Security Testing

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Computers, Materials & Continua 2021年第1期66卷 631-645页

作者： Sadeeq Jan Omer Bin Tauqeer Fazal Qudus Khan George Tsaramirsis awais ahmad Iftikhar ahmad Imran Maqsood Niamat Ullah National Center for Cyber Security Department of CS&ITUniversity of Engineering&TechnologyPeshawarPakistan Department of Information Technology FCITKing Abdulaziz UniversityJeddahSaudi Arabia Dipartimento di Informatica(DI) UniversitàDegli Studi di Milano StataleVia Celoria 18MilanoItaly Department of Computer Science&IT University of Engineering&TechnologyPeshawarPakistan Department of Software Engineering University of Engineering&TechnologyMardanPakistan University of Buner BunerPakistan

Over the last decade,a significant increase has been observed in the use of web-based Information systems that process sensitive information,e.g.,personal,financial,*** this increased use,the security of such systems became a crucial aspect to ensure safety,integrity and authenticity of the *** achieve the objectives of data safety,security testing is ***,with growth and diversity of information systems,it is challenging to apply security testing for each and every ***,it is important to classify the assets based on their required level of security using an appropriate *** this paper,we propose an asset security classification technique to classify the System Under Test(SUT)based on various factors such as system exposure,data criticality and security *** perform an extensive evaluation of our technique on a sample of 451 information ***,we use security testing on a sample extracted from the resulting prioritized systems to investigate the presence of *** technique achieved promising results of successfully assigning security levels to various assets in the tested environments and also found several vulnerabilities in them.

关键词： Security security testing privacy asset classification

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Empowering Diagnosis: Cutting-Edge Segmentation and Classification in Lung Cancer Analysis

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Computers, Materials & Continua 2024年第6期79卷 4963-4977页

作者： Iftikhar Naseer Tehreem Masood Sheeraz Akram Zulfiqar Ali awais ahmad Shafiq Ur Rehman Arfan Jaffar Faculty of Computer Sciences&Information Technology The Superior UniversityLahore54000Pakistan Intelligent Data Visual Computing Research(IDVCR) Lahore54000Pakistan Information System Department College of Computer and Information SciencesImam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia School of Computer Science and Electronic Engineering(CSEE) University of EssexWivenhoe ParkColchesterCO43SQUK

Lung cancer is a leading cause of global mortality *** detection of pulmonary tumors can significantly enhance the survival rate of ***,various Computer-Aided Diagnostic(CAD)methods have been developed to enhance the detection of pulmonary nodules with high ***,the existing method-ologies cannot obtain a high level of specificity and *** present study introduces a novel model for Lung Cancer Segmentation and Classification(LCSC),which incorporates two improved architectures,namely the improved U-Net architecture and the improved AlexNet *** LCSC model comprises two distinct *** first stage involves the utilization of an improved U-Net architecture to segment candidate nodules extracted from the lung ***,an improved AlexNet architecture is employed to classify lung *** the first stage,the proposed model demonstrates a dice accuracy of 0.855,a precision of 0.933,and a recall of 0.789 for the segmentation of candidate *** suggested improved AlexNet architecture attains 97.06%accuracy,a true positive rate of 96.36%,a true negative rate of 97.77%,a positive predictive value of 97.74%,and a negative predictive value of 96.41%for classifying pulmonary cancer as either benign or *** proposed LCSC model is tested and evaluated employing the publically available dataset furnished by the Lung Image Database Consortium and Image Database Resource Initiative(LIDC-IDRI).This proposed technique exhibits remarkable performance compared to the existing methods by using various evaluation parameters.

关键词： Lung cancer segmentation AlexNet U-Net classification

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Recent progress in flexible Zn-ion hybrid supercapacitors: Fundamentals, fabrication designs, and applications

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Carbon Energy 2023年第1期5卷 82-122页

作者： Muhammad Sufyan Javed Sumreen Asim Tayyaba Najam Muhammad Khalid Iftikhar Hussain awais ahmad Mohammed A.Assiri Weihua Han School of Physical Science and Technology Lanzhou UniversityLanzhouGansuChina Institute of Chemistry Khwaja Fareed University of Engineering and Information TechnologyPunjabPakistan College of Chemistry and Environmental Engineering Shenzhen UniversityShenzhenGuangdongChina Department of Mechanical Engineering City University of Hong KongKowloonHong KongChina Departamento de Quimica Organica Universidad de CordobaCordobaSpain Department of Chemistry Faculty of ScienceKing Khalid UniversityAbhaSaudi Arabia

One of the most exciting new developments in energy storage technology is flexible Zn-ion hybrid supercapacitors(f-ZIHSCs),which combine the high energy of Zn-ion batteries with high-power supercapacitors to satisfy the needs of portable flexible ***,the development of f-ZHSCs is still in its infancy,and there are numerous barriers to overcome before they can be widely implemented for practical *** review gives an up-to-date description of recent achievements and underlying concepts in energy storage mechanisms of f-ZIHSCs and emphasizes the critical role of cathode,anode,and electrolyte materials systems in speeding the prosperity of *** innovative nanostructured-based cathode materials for f-ZIHSCs include carbon(e.g.,porous carbon,heteroatom-doped carbon,biomass-derived porous carbon,graphene,etc.),metal-oxides,MXenes,and metal/covalentorganic frameworks,and other materials(e.g.,activated carbon,phosphorene,etc.)are mainly ***,the latest developments in flexible anode and electrolyte frameworks and impacts of electrolyte compositions on the electrochemical properties of f-ZIHSC are ***,the advancements based on fabrication designs,including quasi-solid-state,micro,fiber-shaped,and all climate-changed f-ZIHSCs,are discussed in ***,a summary of current challenges and recommendations for the future progress of advanced f-ZIHSC are *** review article is anticipated to further understand the viable strategies and achievable approaches for assembling high-performance f-ZIHSCs and boost the technical revolutions on cathode,anode,and electrolytes for f-ZIHSC devices.

关键词： electrode electrolyte flexible MOFs MXenes Zn-ion hybrid supercapacitor

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全球化、经济增长与巴基斯坦人类发展

全球化、经济增长与巴基斯坦人类发展

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作者： ahmad awais 江西财经大学

学位级别：硕士

本研究考察了经济全球化和经济增长对巴基斯坦的人类发展影响。该研究将HDI作为因变量,KOFGI、人均GDP和通货膨胀作为三个自变量。KOF全球化指数(KOFGI)作为经济全球化的代理变量,人均GDP作为经济增长的代理变量,人类发展指数(HDI)作为... 详细信息

本研究考察了经济全球化和经济增长对巴基斯坦的人类发展影响。该研究将HDI作为因变量,KOFGI、人均GDP和通货膨胀作为三个自变量。KOF全球化指数(KOFGI)作为经济全球化的代理变量,人均GDP作为经济增长的代理变量,人类发展指数(HDI)作为人类发展的代理变量。作者使用1991年至2020年的时间序列数据,对这些变量进行了统计分析,以确定它们之间的关系以及对巴基斯坦人类发展的影响。结果表明,R平方值为0.994061表明大约99.41%的HDI变化可以用自变量(通货膨胀CPI、美国人均GDP和KOFGI)来解释。F统计量为1450.597(p值:4.77e-29)证实了这些变量与HDI之间在统计上显着的强相关性。Dizon等(2021)和ADIQAKIANI等(2020)也发现经济全球化对人类发展的积极和显著影响。同样,Khan和Ju(2019)认为经济增长对人类发展有积极影响。然而,通货膨胀率的变化不会显着影响人类的整体发展。该研究提出了改善社会经济条件的具体政策,包括国家人类发展战略、加强教育和医疗保健的计划、促进创业和可再生能源、数字基础设施投资、公私伙伴关系、气候变化适应能力、金融包容性、和打击腐败的措施。实施这些政策可以促进巴基斯坦的人类发展、经济增长和可持续发展。

关键词：经济全球化人类发展指数人均国内生产总值通货膨胀

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基于模化实验装置的蒸汽发生器二次侧热工水力特性的初步研究

基于模化实验装置的蒸汽发生器二次侧热工水力特性的初步研究

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作者： awais ahmad 华北电力大学(北京)

学位级别：硕士

本文利用非均匀加热棒束的蒸汽发生器实验装置(M310压水堆核电站SG进行缩比后搭建),对蒸汽发生器二次侧热工水力特性进行了研究。目前,AP1000蒸汽发生器二次侧热段和冷段采用均匀给水方式的适宜性有待进一步分析。在此前提下,利用实验... 详细信息

本文利用非均匀加热棒束的蒸汽发生器实验装置(M310压水堆核电站SG进行缩比后搭建),对蒸汽发生器二次侧热工水力特性进行了研究。目前,AP1000蒸汽发生器二次侧热段和冷段采用均匀给水方式的适宜性有待进一步分析。在此前提下,利用实验记录了在热段和冷段不同给水比例多种工况下20个点的温度分布情况。此外,为了弄清气泡的产生和流动现象,利用高速摄像机对6个不同的可视化点进行了拍摄。实验结果表明,由于非均匀加热的缘故导致二次侧空间上热侧和冷侧密度不均匀,工质之间产生了强烈的横向流动,这也解释了整个二次侧自然循环流动的原因。随着冷段流量的增加,温度也变得相对较为均匀。此外,利用ANSYS-CFX 16.2计算了一个相对简化的实验台架模型,得到了二次侧工质(包括水和蒸汽)相关性质的变化值。对于实验可视化的研究证实了CFD关于在传热管顶部弯管区有更高的传热效率的计算结果,这是因为工质流经弯管区时横向切割传热弯管,导致换热系数突然增大导致的。在U型弯管强湍流作用区,实验过程中所观察到的漩涡脱落现象和CFD数值计算结果中的涡流现象相吻合。

关键词：蒸汽发生器二次侧自然循环流动数值模拟

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蒸汽发生器二次侧流动PIV实验研究

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核动力工程 2017年第5期38卷 4-9页

作者：王聪陆道纲姚志鹏曹琼 awais ahmad 张曙明华北电力大学核科学与工程学院北京102206 国家核电技术研发中心北京102209

基于一个可视化蒸汽发生器模化实验装置,并利用2D的示踪粒子测速方法(2D-PIV)获取了其二次侧相应测点流场图。观察直管段区域的横向流动现象并描述其机理。实验还对比了在冷热2端不同给水比例和不同功率负荷下速度场的差异,发现在冷热... 详细信息

基于一个可视化蒸汽发生器模化实验装置,并利用2D的示踪粒子测速方法(2D-PIV)获取了其二次侧相应测点流场图。观察直管段区域的横向流动现象并描述其机理。实验还对比了在冷热2端不同给水比例和不同功率负荷下速度场的差异,发现在冷热两端非均匀的给水方式(1:4)相比于均匀给水方式,直管段区域的横向流动现象有所减弱。

关键词：蒸汽发生器示踪粒子测速(PIV)实验流动特性

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基于可视化实验台架的蒸汽发生器二次侧自然循环现象研究

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原子能科学技术 2017年第2期51卷 262-267页

作者：王聪陆道纲姚志鹏曹琼 awais ahmad 张曙明华北电力大学核科学与工程学院北京102206 国家核电技术研发中心北京102209

对于传统压水堆核电站的蒸汽发生器,U型管热段热流密度大,冷段热流密度小,两侧不同的热流密度使得二次侧的热侧与冷侧的沸腾情况不一致,而真实的蒸汽发生器体型庞大,结构复杂,其内部真实的流动情况也不得而知。为弄清核电站蒸汽发生器... 详细信息

对于传统压水堆核电站的蒸汽发生器,U型管热段热流密度大,冷段热流密度小,两侧不同的热流密度使得二次侧的热侧与冷侧的沸腾情况不一致,而真实的蒸汽发生器体型庞大,结构复杂,其内部真实的流动情况也不得而知。为弄清核电站蒸汽发生器二次侧的流动现象,搭建了单排非均匀加热管的可视化蒸汽发生器实验台架,并借助高速摄像机对其内部流动情况进行了拍摄,利用所拍摄的图像得到了相应位置气泡的横向流动速度。结果表明,在实验运行过程中,两侧不同的热流密度导致空泡份额差异很大,从而产生横向的自然循环流动现象,这一现象在二次侧流体流经U型弯管时,表现得更为剧烈。

关键词：蒸汽发生器二次侧自然循环流动

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Bioresource Upgrade for Sustainable Energy,Environment,and Biomedicine

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Nano-Micro Letters 2023年第3期15卷 48-97页

作者： Fanghua Li Yiwei Li KSNovoselov Feng Liang Jiashen Meng Shih‑Hsin Ho Tong Zhao Hui Zhou awais ahmad Yinlong Zhu Liangxing Hu Dongxiao Ji Litao Jia Rui Liu Seeram Ramakrishna Xingcai Zhang Center for Nanofibers and Nanotechnology National University of SingaporeSingapore 119260Singapore State Key Laboratory of Urban Water Resource and Environment Harbin Institute of TechnologyHarbin 150090People’s Republic of China School of Engineering Massachusetts Institute of TechnologyCambridgeMA 02139USA John A Paulson School of Engineering and Applied Sciences Harvard UniversityCambridgeMA 02138USA The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics–Department of Biomedical Engineering College of Life Science and TechnologyHuazhong University of Science and TechnologyWuhanHubei 430074People’s Republic of China Centre for Advanced 2D Materials National University of SingaporeSingapore 117546Singapore School of Physics and Astronomy The University of ManchesterManchester M139PLUK Department of Anesthesia Critical Care and Pain MedicineMassachusetts General Hospital and Harvard Medical SchoolBostonMA 02114USA Department of Energy and Power Engineering Tsinghua UniversityBeijing 100084People’s Republic of China Departamento de Quimica Organica Universidad de CordobaEdificio Marie Curie(C‑3)Ctra Nnal IV‑AKm 39614014 CordobaSpain Department of Chemical Engineering Monash UniversityClaytonVIC 3800Australia School of Mechanical and Aerospace Engineering Nanyang Technological UniversitySingapore 639798Singapore

We conceptualize bioresource upgrade for sustainable energy,environment,and biomedicine with a focus on circular economy,sustainability,and carbon neutrality using high availability and low utilization biomass(HALUB).We acme energy-efficient technologies for sustainable energy and material recovery and *** technologies of thermochemical conversion(TC),biochemical conversion(BC),electrochemical conversion(EC),and photochemical conversion(PTC)are summarized for *** biomass could contribute to a biofuel HHV of 35.72 MJ Kg^(-1)and total benefit of 749$/ton biomass via *** surface area of biochar reached 3000 m^(2)g^(-1)via pyrolytic carbonization of waste bean *** biomass can be effectively converted into bio-stimulants and biofertilizers via BC with a high conversion efficiency of more than 90%.Besides,lignocellulosic biomass can contribute to a current density of 672 mA m^(-2)via *** can be 100%selectively synthesized via electrocatalysis through EC and *** learning,techno-economic analysis,and life cycle analysis are essential to various upgrading approaches of *** biomaterials,sustainable living materials and technologies for biomedical and multifunctional applications like nano-catalysis,microfluidic and micro/nanomotors beyond are also *** techniques and systems for the complete conversion and utilization of HALUB for new energy and materials are further discussed.

关键词： High availability low utilization biomass(HALUB) Circular economy Machine learning Energy-efficient conversion Nano-catalysis

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