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Early Detection of Autism in Children Using Transfer Learning

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Intelligent Automation & Soft Computing 2023年第4期36卷 11-22页

作者： Taher m.Ghazal Sundus munir Sagheer Abbas Atifa Athar Hamza Alrababah muhammad Adnan khan School of Information Technology Skyline University CollegeSharjah1797UAE Network and Communication Technology Lab Center for Cyber SecurityFaculty of Information Science and Technology Universiti Kebangsaan Malaysia43600Malaysia School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Lahore Garrison University Lahore54000Pakistan Department of Computer Science COMSATS University Islamabad–Lahore CampusLahore54000Pakistan Department of Software Pattern Recognition and Machine Learning LabGachon UniversitySeongnamGyeonggido13120Korea

Autism spectrum disorder(ASD)is a challenging and complex neurodevelopment syndrome that affects the child’s language,speech,social skills,communication skills,and logical thinking *** early detection of ASD is essential for delivering effective,timely *** facial features such as a lack of eye contact,showing uncommon hand or body movements,bab-bling or talking in an unusual tone,and not using common gestures could be used to detect and classify ASD at an early *** study aimed to develop a deep transfer learning model to facilitate the early detection of ASD based on facial fea-tures.A dataset of facial images of autistic and non-autistic children was collected from the Kaggle data repository and was used to develop the transfer learning AlexNet(ASDDTLA)*** model achieved a detection accuracy of 87.7%and performed better than other established ASD detection ***,this model could facilitate the early detection of ASD in clinical practice.

关键词： Autism spectrum disorder convolutional neural network loss rate transfer learning AlexNet deep learning

Non-maximal Tripartite Entanglement Degradation of Dirac and Scalar Fields in Non-Inertial Frames

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Communications in Theoretical Physics 2014年第3期61卷 281-288页

作者： Salman khan Niaz Ali khan m.K.khan Department of Physics COMSATS Institute of Information Technology Chak Shahzad Department of Physics Quaid-i-Azam University

The π-tangle is used to study the behavior of entanglement of a nonmaximal tripartite state of both Dirac and scalar fields in accelerated frame. For Dirac fields, the degree of degradation with acceleration of both one-tangle of accelerated observer and π-tangle, for the same initial entanglement, is different by just interchanging the values of probability amplitudes. A fraction of both one-tangles and the π-tangle always survives for any choice of acceleration and the degree of initial entanglement. For scalar field, the one-tangle of accelerated observer depends on the choice of values of probability amplitudes and it vanishes in the range of infinite acceleration, whereas for π-tangle this is not always true. The dependence of π-tangle on probability amplitudes varies with acceleration. In the lower range of acceleration,its behavior changes by switching between the values of probability amplitudes and for larger values of acceleration this dependence on probability amplitudes vanishes. Interestingly, unlike bipartite entanglement, the degradation of π-tangle against acceleration in the case of scalar fields is slower than for Dirac fields.

关键词：狄拉克场纠缠态标量场降解非惯性系加速度观察者概率

Quantum model of Bertrand Duopoly

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Chinese Physics Letters 2010年第8期27卷 11-14页

作者： Salman khan m. Ramzan m. K. khan Department of Physics Quaid-i-Azam University lslamabad 45320 Pakistan

We present a quantum model of Bertrand duopoly and study the entanglement behavior on the profit functions of the firms. Using the concept of optimal response of each firm to the price of the opponent, we find only one Nash equilibirum point for the maximally entangled initial state. The presence of quantum entanglement in the initial state gives payoffs higher to the firms than the classical payoffs at the Nash equilibrium. As a result, the dilemma-like situation in the classical game is resolved.

关键词： Firmness Enterprises Quantum model

An Optimal Framework for SDN Based on Deep Neural Network

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Computers, materials & Continua 2022年第10期73卷 1125-1140页

作者： Abdallah Abdallah mohamad Khairi Ishak Nor Samsiah Sani Imran khan Fahad RAlbogamy Hirofumi Amano Samih m.mostafa Department of Industrial Engineering School of Applied Technical Sciences German Jordanian UniversityAmman35247Jordan School of Electrical and Electronic Engineering Universiti Sains MalaysiaNibong Tebal14300Malaysia Center for Artificial Intelligence Technology Faculty of Information Science and TechnologyThe National University of Malaysia(UKM)Bangi43600SelangorMalaysia Department of Electrical Engineering University of Engineering and TechnologyPeshawar814Pakistan Turabah University College Computer Sciences ProgramTaif UniversityTaif21944Saudi Arabia Research Institute for Information Technology Kyushu UniversityFukuoka819-0395Japan Computer Science-mathematics Department Faculty of ScienceSouth Valley UniversityQena83523Egypt

Software-defined networking(SDN)is a new paradigm that promises to change by breaking vertical integration,decoupling network control logic from the underlying routers and switches,promoting(logical)network control centralization,and introducing network ***,the controller is similarly vulnerable to a“single point of failure”,an attacker can execute a distributed denial of service(DDoS)attack that invalidates the controller and compromises the network security in *** address the problem of DDoS traffic detection in SDN,a novel detection approach based on information entropy and deep neural network(DNN)is *** approach contains a DNN-based DDoS traffic detection module and an information-based entropy initial inspection *** initial inspection module detects the suspicious network traffic by computing the information entropy value of the data packet’s source and destination Internet Protocol(IP)addresses,and then identifies it using the DDoS detection module based on *** assaults were found when suspected irregular traffic was *** reveal that the algorithm recognizes DDoS activity at a rate of more than 99%,with a much better accuracy *** false alarm rate(FAR)is much lower than that of the information entropy-based detection ***,the proposed framework can shorten the detection time and improve the resource utilization efficiency.

关键词： Deep neural network computer networks data security optimization

Neuroprotective effects of Alda-1 mitigate spinal cord injury in mice:involvement of Alda-1-induced ALDH2 activation-mediated suppression of reactive aldehyde mechanisms

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Neural Regeneration Research 2022年第1期17卷 185-193页

作者： mushfiquddin khan Fei Qiao Pavan Kumar S.m.Touhidul Islam Avtar K.Singh Jeseong Won Inderjit Singh Department of Pediatrics Medical University of South CarolinaCharlestonSCUSA Department of Pathology and Laboratory medicine Medical University of South CarolinaCharlestonSCUSA Ralph H.Johnson VA medical Center CharlestonSCUSA

Spinal cord injury(SCI)is associated with high production and excessive accumulation of pathological 4-hydroxy-trans-2-nonenal(4-HNE),a reactive aldehyde,formed by SCI-induced metabolic dysregulation of membrane *** aldehyde load causes redox alteration,neuroinflammation,neurodegeneration,pain-like behaviors,and locomotion *** scavenging of reactive aldehydes results in limited improved motor and sensory *** this study,we targeted the activity of mitochondrial enzyme aldehyde dehydrogenase 2(ALDH2)to detoxify 4-HNE for accelerated functional recovery and improved pain-like behavior in a male mouse model of contusion SCI.N-(1,3-benzodioxol-5-ylmethyl)-2,6-dichlorobenzamide(Alda-1),a selective activator of ALDH2,was used as a therapeutic tool to suppress the 4-HNE *** was induced by an impactor at the T9–10 vertebral *** animals were initially treated with Alda-1 at 2 hours after injury,followed by once-daily treatment with Alda-1 for 30 consecutive *** function was evaluated by the Basso mouse Scale,and pain-like behaviors were assessed by mechanical allodynia and thermal ***2 activity was measured by enzymatic assay.4-HNE protein adducts and enzyme/protein expression levels were determined by western blot analysis and histology/*** resulted in a sustained and prolonged overload of 4-HNE,which parallels with the decreased activity of ALDH2 and low functional ***-1 treatment of SCI decreased 4-HNE load and enhanced the activity of ALDH2 in both the acute and the chronic phases of ***,the treatment with Alda-1 reduced neuroinflammation,oxidative stress,and neuronal loss and increased adenosine 5′-triphosphate levels stimulated the neurorepair process and improved locomotor and sensory ***,the results provide evidence that enhancing the ALDH2 activity by Alda-1 treatment of SCI mice suppresses the 4-HNE load that attenuates neuroinfl

关键词： 4-hydroxy-trans-2-nonenal Alda-1 ALDH2 Basso mouse Scale score functional recovery mitochondrial function neuroinflammation neuroprotection pain spinal cord injury

monte-Carlo simulation of a stochastic differential equation

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Plasma Science and Technology 2017年第12期19卷 6-14页

作者： Arif ULLAH majid khan m KAmRAN R khan 盛正卯 Hefei National Laboratory for Physical Sciences at the microscale University of Science and Technology of ChinaHefei 230026People's Republic of China Department of Physics Quaid-i-Azam University Islamabad Pakistan Department of Physics Institute of Fusion Theory and SimulationsZhejiang UniversityHangzhou 310027People's Republic of China Department of Physics COMSATS Institute of Information TechnologyChack ShahzadIslamabadPakistan Department of Physics Abdul Wali Khan University23200 MardanKPKPakistan

For solving higher dimensional diffusion equations with an inhomogeneous diffusion coefficient,monte Carlo（mC） techniques are considered to be more effective than other algorithms, such as finite element method or finite difference method. The inhomogeneity of diffusion coefficient strongly limits the use of different numerical techniques. For better convergence, methods with higher orders have been kept forward to allow mC codes with large step size. The main focus of this work is to look for operators that can produce converging results for large step sizes. As a first step, our comparative analysis has been applied to a general stochastic ***, our formulization is applied to the problem of pitch angle scattering resulting from Coulomb collisions of charge particles in the toroidal devices.

关键词： monte-Carlo simulation stochastic differential equations toroidal plasmas numerical methods

Quantum monty Hall Problem under Decoherence

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Communications in Theoretical Physics 2010年第7期54卷 47-54页

作者： Salman khan m.Ramzan m.K.khan Department of Physics Quaid-i-Azam University

我们在振幅抑制的影响下面在量门帝霍尔问题上学习 decoherence 的效果，动摇，并且 dephasing 隧道。在 decoherence 的效果下面，有在动摇的情况下的比赛的纳什平衡，这被显示出为艾莉斯的量策略的隧道。而在 dephasing 噪音的情况下... 详细信息

我们在振幅抑制的影响下面在量门帝霍尔问题上学习 decoherence 的效果，动摇，并且 dephasing 隧道。在 decoherence 的效果下面，有在动摇的情况下的比赛的纳什平衡，这被显示出为艾莉斯的量策略的隧道。而在 dephasing 噪音的情况下，比赛没由量隧道被影响。为抑制隧道的振幅，鲍勃的发薪关于 50% 的 decoherence 被发现对称，最大值为他的古典策略发生在 decoherence 的这价值。然而，它是提及价值的在动摇的情况下隧道，鲍勃的古典策略对艾莉斯的策略的任何选择仍然保持总是主导。

关键词：量子通道退相干去极化相干效应纳什均衡相干噪声消相干阻尼

Physical aspects of magnetized Jeffrey nanomaterial flow with irreversibility analysis

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Chinese Physics B 2022年第8期31卷 485-493页

作者： Fazal Haq muhammad Ijaz khan Sami Ullah khan Khadijah m Abualnaja m A El-Shorbagy Department of mathematics Karakoram International University Main CampusGilgit 15100Pakistan Department of mathematics and Statistics Riphah International University I-14Islamabad 44000Pakistan Department of mechanics and Engineering Science Peking UniversityBeijing 100871China Department of mathematics COMSATS University IslamabadSahiwal 57000Pakistan Department of mathematics and Statistics College of ScienceTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Department of mathematics College of Science and Humanities in Al-KharjPrince Sattam bin Abdulaziz UniversityAl-Kharj 11942Saudi Arabia Department of Basic Engineering Science Faculty of EngineeringMenoufia UniversityShebin El-Kom 32511Egypt

This research presents the applications of entropy generation phenomenon in incompressible flow of Jeffrey nanofluid in the presence of distinct thermal features. The novel aspects of various features, such as Joule heating, porous medium,dissipation features, and radiative mechanism are addressed. In order to improve thermal transportation systems based on nanomaterials, convective boundary conditions are introduced. The thermal viscoelastic nanofluid model is expressed in terms of differential equations. The problem is presented via nonlinear differential equations for which analytical expressions are obtained by using the homotopy analysis method(HAm). The accuracy of solution is ensured. The effective outcomes of all physical parameters associated with the flow model are carefully examined and underlined through various curves. The observations summarized from current analysis reveal that the presence of a permeability parameter offers resistance to the flow. A monotonic decrement in local Nusselt number is noted with Hartmann number and Prandtl ***, entropy generation and Bejan number increases with radiation parameter and fluid parameter.

关键词： Jeffrey nonmaterial entropy generation magnetohydrodynamics(mHD) Bejan number porous medium Brownian motion

Decoherence Effects on multiplayer Cooperative Quantum Games

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Communications in Theoretical Physics 2011年第8期56卷 228-234页

作者： Salman khan m.Ramzan m.Khalid.khan Department of Physics Quaid-i-Azam University

We study the behavior of cooperative multiplayer quantum games [***,***,***,and ***,***.A 327 (2004) 98; *** and ***,Quantum ***.7 (2007) 111] in thepresence of decoherence using different quantum channels such as amplitude damping,depolarizing and phase *** is seen that the outcomes of the games for the two damping channels with maximum values of decoherence reduce tosame ***,in comparison to phase damping channel,the payoffs of cooperators are strongly damped underthe influence amplitude damping channel for the lower values of decoherence *** the case of depolarizingchannel,the game is a no-payoff game irrespective of the degree of entanglement in the initial state for the larger valuesof decoherence *** decoherence gets the cooperators worse off.

关键词：量子通道游戏相干效应合作强阻尼消相干初始状态去极化