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Review of Techniques for Integrating Security in Software Development Lifecycle

Computers, Materials & Continua 2025年第1期82卷 139-172页

作者： Hassan Saeed Imran Shafi jamil ahmad Adnan Ahmed Khan Tahir Khurshaid Imran Ashraf College of Electrical and Mechanical Engineering National University of Sciences and Technology(NUST)Rawalpindi46604Pakistan Department of Computer Science Abasyn University Islamabad CampusIslamabad45510Pakistan Military College of Signals National University of Sciences and Technology(NUST)Rawalpindi46600Pakistan Department of Electrical Engineering Yeungnam UniversityGyeongsan38541Republic of Korea Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Republic of Korea

Software-related security aspects are a growing and legitimate concern,especially with 5G data available just at our *** conduct research in this field,periodic comparative analysis is needed with the new techniques coming up *** purpose of this study is to review the recent developments in the field of security integration in the software development lifecycle(SDLC)by analyzing the articles published in the last two decades and to propose a way *** review follows Kitchenham’s review *** review has been divided into three main stages including planning,execution,and *** the selected 100 articles,it becomes evident that need of a collaborative approach is necessary for addressing critical software security risks(CSSRs)through effective risk management/estimation *** risks using a numeric scale enables a comprehensive understanding of their severity,facilitating focused resource allocation and mitigation *** a comprehensive understanding of potential vulnerabilities and proactive mitigation efforts facilitated by protection poker,organizations can prioritize resources effectively to ensure the successful outcome of projects and initiatives in today’s dynamic threat *** review reveals that threat analysis and security testing are needed to develop automated tools for the *** estimation of effort required to prioritize potential security risks is a big challenge in software *** accuracy of effort estimation can be further improved by exploring new techniques,particularly those involving deep *** is also imperative to validate these effort estimation methods to ensure all potential security threats are *** challenge is selecting the right model for each specific security *** achieve a comprehensive evaluation,researchers should use well-known benchmark checklists.

关键词： Software development lifecycle systematic literature review critical software security risks national institute of standards and technology DevSecOps open web application security project McGraw’s touch points

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EfficientNet-Based Robust Recognition of Peach Plant Diseases in Field Images

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Computers, Materials & Continua 2022年第4期71卷 2073-2089页

作者： Haleem Farman jamil ahmad Bilal Jan Yasir Shahzad Muhammad Abdullah Atta Ullah Department of Computer Science Islamia College Peshawar25120Pakistan Department of Computer Science FATA University Kohat26100Pakistan Department of Computer Science University of Peshawar25120Pakistan Agriculture Research Institute MingoraSwat19130Pakistan

Plant diseases are a major cause of degraded fruit quality andyield losses. These losses can be significantly reduced with early detection ofdiseases to ensure their timely treatment, particularly in developing *** this regard, an expert system based on deep learning model where the expertknowledge, particularly the one acquired by plant pathologist, is recursivelylearned by the system and is applied using a smart phone application for use inthe target field environment, is being proposed. In this paper, a robust diseasedetection method is developed based on convolutional neural network (CNN),where its powerful features extraction capabilities are leveraged to detectdiseases in images of fruits and leaves. The features extraction pipelines ofseveral state-of-the-art pretrained networks are fine-tuned to achieve optimaldetection performance. A novel dataset is collected from peach orchards andextensively augmented using both label-preserving and non-label-preservingtransformations. The augmented dataset is used to study the effects of finetuning the pretrained networks’ feature extraction pipeline as opposed tokeeping the network parameters unchanged. The CNN models, particularlyEfficientNet exhibited superior performance on the target dataset once theirfeature extraction pipelines are fine-tuned. The optimal model is able toachieve 96.6% average accuracy, 90% sensitivity and precision, and 98%specificity on the test set of images.

关键词： Peach diseases EfficientNet data augmentation transfer learning

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Optimized Predictive Framework for Healthcare Through Deep Learning

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Computers, Materials & Continua 2021年第5期67卷 2463-2480页

作者： Yasir Shahzad Huma Javed Haleem Farman jamil ahmad Bilal Jan Abdelmohsen A.Nassani Department of Computer Science University of PeshawarPeshawar25120Pakistan Department of Computer Science Islamia College PeshawarPeshawar25120Pakistan Department of Computer Science FATA UniversityKohat26100Pakistan Department of Management College of Business AdministrationKing Saud UniversityRiyadhSaudi Arabia

Smart healthcare integrates an advanced wave of information technology using smart devices to collect health-related medical science *** data usually exist in unstructured,noisy,incomplete,and heterogeneous *** these limitations remains an open challenge in deep learning to classify health *** this paper,a long short-term memory(LSTM)based health condition prediction framework is proposed to rectify imbalanced and noisy data and transform it into a useful form to predict accurate health *** imbalanced and scarce data is normalized through coding to gain consistency for accurate results using synthetic minority oversampling *** proposed model is optimized and ne-tuned in an end to end manner to select ideal parameters using tree parzen estimator to build a probabilistic *** patient’s medication is pigeonholed to plot the diabetic condition’s risk factor through an algorithm to classify blood glucose metrics using a modern surveillance error grid *** proposed model can efciently train,validate,and test noisy data by obtaining consistent results around 90%over the state of the art machine and deep learning techniques and overcoming the insufciency in training data through transfer *** overall results of the proposed model are further tested with secondary datasets to verify model sustainability.

关键词： Recurrent neural network long short-term memory deep learning Bayesian optimization surveillance error grid hyperparameter

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Negotiation Based Combinatorial Double Auction Mechanism in Cloud Computing

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Computers, Materials & Continua 2021年第11期69卷 2123-2140页

作者： Zakir Ullah Asif Umer Mahdi Zaree jamil ahmad Faisal Alanazi Noor Ul Amin Arif Iqbal Umar Ali Imran Jehangiri Muhammad Adnan Department of Information Technology Hazara University MansehraMansehra21300Pakistan Tecnologico de Monterrey School of Engineering and SciencesZapopan45201Mexico Prince Sattam bin Abdulaziz University College of EngineeringDepartment of Electrical EngineeringAlkharj16273Saudi Arabia

Cloud computing is a demanding business platform for services related to the field of *** goal of cloud customers is to access resources at a sustainable price,while the goal of cloud suppliers is to maximize their services ***,the customers would bid for every single resource type,which was a limitation of cloud resources *** solve these issues,researchers have focused on a combinatorial auction in which the resources are offered by the providers in bundles so that the user bids for their required ***,in this allocation mechanism,some drawbacks need to be tackled,such as due to the lower average bid price the users are dropped from the auction *** solve this problem,we proposed a“Negotiation based Combinatorial Double Auction Mechanism for Resource Allocation(N-CDARA)in cloud computing”.The proposed method negotiates with dropped *** average bid price users are asked by our proposed mechanism to increase their bids,as by the quoted bids they will be dropped by the *** of the users that are close to winning accept the proposal and increase their bid *** proposed mechanism is implemented in a CloudSim simulation *** are compared with the latest model and performance study shows that in our proposed scheme more users win and get their requested services and the utilization of offered services is increased up to 18.4%than the existing schemes.

关键词： Cloud computing combinatorial double auction negotiation resource utilization users serve

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New Modified Controlled Bat Algorithm for Numerical Optimization Problem

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Computers, Materials & Continua 2022年第2期70卷 2241-2259页

作者： Waqas Haider Bangyal Abdul Hameed jamil ahmad Kashif Nisar Muhammad Reazul Haque Ag.Asri Ag.Ibrahim Joel J.P.C.Rodrigues M.Adil Khan Danda B.Rawat Richard Etengu Department of Computing and Technology Iqra University IslamabadPakistan Computer Science Kohat University of Science and Technology(KUST)KohatPakistan Faculty of Computing and Informatics University Malaysia SabahJalan UMSKota Kinabalu88400SabahMalaysia Faculty of Computing&Informatics Multimedia UniversityPersiaran MultimediaCyberjaya63100SelangorMalaysia Federal University of Piauí(UFPI) Teresina-PLBrazil Instituto de Telecomunicacoes Covilh?6201-001Portugal Department Computer Science and Technology Chang’an UniversityXi’anChina Department of Electrical Engineering and Computer Science Howard UniversityWashingtonDCUSA

Bat algorithm(BA)is an eminent meta-heuristic algorithm that has been widely used to solve diverse kinds of optimization *** leverages the echolocation feature of bats produced by imitating the bats’searching *** faces premature convergence due to its local search *** of using the standard uniform walk,the Torus walk is viewed as a promising alternative to improve the local search *** this work,we proposed an improved variation of BA by applying torus walk to improve diversity and *** *** Computerized Bat Algorithm(MCBA)approach has been examined for fifteen well-known benchmark test *** finding of our technique shows promising performance as compared to the standard PSO and standard *** proposed MCBA,BPA,Standard PSO,and Standard BA have been examined for well-known benchmark test problems and training of the artificial neural network(ANN).We have performed experiments using eight benchmark datasets applied from the worldwide famous machine-learning(ML)repository of *** results have shown that the training of an ANN with MCBA-NN algorithm tops the list considering exactness,with more superiority compared to the traditional *** MCBA-NN algorithm may be used effectively for data classification and statistical problems in the future.

关键词： Bat algorithm MCBA ANN ML Torus walk

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Metaplastic Carcinoma of the Breast: A Clinical Study of 7 Cases from Balochistan

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Advances in Breast Cancer Research 2014年第3期3卷 106-110页

作者： Abdul Hameed Baloch Shakeela Daud Jameela Shuja Adeel ahmad Fateh Ali Mohammad Akram Dost Mohammad Baloch Abdul Majeed Cheema Mohammad Iqbal jamil ahmad Bolan Medical College/Hospital (BMC) Quetta CENAR Quetta Pakistan Center for Advanced Molecular Biology (CAMB) Lahore Pakistan Department of Biotechnology and Informatics BUITEMS Quetta Pakistan Institute of Biochemistry and Biotechnology (IBBt) UVAS Lahore Pakistan Institute of Molecular Biology and Biotechnology The University of Lahore Pakistan Lasbela University of Agriculture Water and Marine Sciences Balochistan

Metaplastic carcinomas of the breast are rare heterogenous neoplasms characterized by adenocarcinoma with dominant areas of spindle cells, squamous and/or other mesenchymal differentiation, that comprise of 5% of all ... 详细信息

关键词： Breast Cancer Metaplastic Carcinoma of Breast CENAR Balochistan BMI MBC

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讨论：鼻成形术中解析笑容：降鼻中隔肌切除或转移的随机对照研究

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中国美容整形外科杂志 2014年第6期25卷 I0007-I0008页

作者： jamil ahmad Rod J. Rohrich 加拿大安大略米西索加私人整形外科门诊美国德克萨斯州达拉斯德克萨斯大学西南医学中心整形外科

很高兴能由我们对***和ABeiraghi-Toosi医师报道的“鼻成形术中解析笑容：降鼻中隔肌切除或转移的随机对照研究”进行评论。降鼻中隔肌是位于两侧鼻中隔的一组成对的小肌肉，其起源于鼻翼内侧脚。

关键词：降鼻中隔肌随机对照研究鼻成形术转移

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鼻成形术

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中国美容整形外科杂志 2014年第8期25卷 I0002-I0022页

作者： Rod J. Rohrich jamil ahmad 魏峰高景恒张晨美国德克萨斯州达拉斯德克萨斯大学西南医学中心整形外科加拿大安大略私人整形外科门诊《中国美容整形外科杂志》编辑部大连大学附属新华医院整形外科

学习目的阅读本文后您应做到：①探讨鼻成形术患者术后相对于术前美学和功能的改善；②确定可以影响手术效果的潜在因素；③在保证／改善通气功能的前提下，制定美容手术方案；④明确并处理鼻成形术后并发症。摘要鼻成形术是整形外科中... 详细信息

学习目的阅读本文后您应做到：①探讨鼻成形术患者术后相对于术前美学和功能的改善；②确定可以影响手术效果的潜在因素；③在保证／改善通气功能的前提下，制定美容手术方案；④明确并处理鼻成形术后并发症。摘要鼻成形术是整形外科中最常实施的美容外科手术之一。在过去的20年中，鼻成形术已由包含对骨软骨框架削减、去除的消融技术，转化为保持自然解剖结构的节省软骨的缝合技术及对缺陷区域的增大技术，以矫正外观畸形并建立结构支持。术前对鼻部进行精确的系统性分析并对鼻通气质量进行评估，连同对患者的期望及医师目标的确认，是手术成功的基础。术中需要做到：充分显露鼻畸形的解剖关系；保留、恢复正常的解剖结构；通过增量控制、修复、恢复鼻通气来矫正畸形；重视各步操作相互间的复合作用（影响）。鼻成形术后恢复阶段，在护理和安抚的前提下，有能力认识并处理并发症，以达到最佳的效果。

关键词：鼻成形术术后并发症美容外科手术解剖结构手术效果矫正畸形系统性分析学习目的

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Effect of deposition parameters on structural and mechanical properties of niobium nitride synthesized by plasma focus device

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Chinese Physics B 2015年第6期24卷 416-424页

作者： jamil Siddiqui Tousif Hussain Riaz ahmad Nida Khalid Center for Advanced Studies in Physics(CASP) 1-Church RoadGC University Department of Physics Government College University

Effects of deposition angle and axial distance on the structural and mechanical properties of niobium nitride syn- thesized by a dense plasma focus （DPF） system are studied. The x-ray diffraction （XRD） confirms that the deposition parameters affect the growth of multi-phase niobium nitride. Scanning electron microscopy （SEM） shows the granular surface morphology with strong thermally assisted coagulation effects observed at the 5-cm axial distance. The non-porous granular morphology observed at the 9-cm distance along the anode axis is different from those observed at deposition angles of 10° and 20°. Energy dispersive x-ray （EDX） spectroscopy reveals the maximum nitrogen content at the shortest （5 cm） axial position. Atomic force microscopy （AFM） exhibits that the roughness of coated films varies for coatings synthesized at different axial and angular positions, and the Vickers micro-hardness test shows that a maximum hardness value is （08.44 ±0.01） GPa for niobium nitride synthesized at 5-cm axial distance, which is about 500% more than that of a virgin sample.

关键词： DPF device niobium nitride XRD SEM AFM micro-hardness

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Hybrid Renewable Energy Resources Management for Optimal Energy Operation in Nano-Grid

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Computers, Materials & Continua 2022年第5期71卷 2091-2105页

作者： Faiza Qayyum Faisal jamil Shabir ahmad Do-Hyeun Kim Department of Computer Engineering Jeju National UniversityJeju-siJeju Special Self-Governing Province63243Korea Department of IT Convergence Engineering Gachon UniversitySujeong-GuSeongnam-SiGyeonggi-Do461-701Korea

Renewable energy resources are deemed a potential energy production source due to their cost efficiency and harmless reaction to the environment,unlike non-renewable energy ***,they often fail to meet energy requirements in unfavorable weather *** concept of Hybrid renewable energy resources addresses this issue by integrating both renewable and non-renewable energy resources to meet the required energy *** this paper,an intelligent cost optimization algorithm is proposed to maximize the use of renewable energy resources and minimum utilization of non-renewable energy resources to meet the energy requirement for a nanogrid *** actual data set comprising information about the load and demand of utility grids is used to evaluate the performance of the proposed nanogrid energy management *** objective function is formulated to manage the nanogrid operation and implemented using a variant of Particle Swarm Optimization(PSO)named recurrent PSO(rPSO).Firstly,rPSO algorithm minimizes the installation cost for ***,the proposed NEMS ensures cost efficiency for the post-installation period by providing a daily operational plan and optimizing renewable ***-of-the-art optimization models,including Genetic Algorithm(GA),bat and different Mathematical Programming Language(AMPL)solvers,are used to evaluate the *** study’s outcomes suggest that the proposed work significantly reduces the use of diesel generators and fosters the use of renewable energy resources and beneficiates the eco-friendly environment.

关键词： Smart grid nanogrid distributed generation(DG) renewable energy optimization machine learning

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