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Fine-Tuning Cyber Security Defenses: Evaluating Supervised Machine Learning Classifiers for Windows Malware Detection

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Computers, Materials & Continua 2024年第8期80卷 2917-2939页

作者： Islam Zada Mohammed Naif Alatawi Syed muhammad saqlain Abdullah Alshahrani Adel Alshamran Kanwal Imran Hessa Alfraihi Department of Software Engineering International Islamic UniversityIslamabad25000Pakistan Information Technology Department Faculty of Computers and Information TechnologyUniversity of TabukTabuk71491Saudi Arabia Department of Computer Science and Artificial Intelligence College of Computer Science and EngineeringUniversity of JeddahJeddah21493Saudi Arabia Department of Cybersecurity College of Computer Science and EngineeringUniversity of JeddahJeddah21493Saudi Arabia Department of Computer Science University of PeshawarPeshawar25121Pakistan Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia

Malware attacks on Windows machines pose significant cybersecurity threats,necessitating effective detection and prevention *** machine learning classifiers have emerged as promising tools for malware ***,there remains a need for comprehensive studies that compare the performance of different classifiers specifically for Windows malware *** this gap can provide valuable insights for enhancing cybersecurity *** numerous studies have explored malware detection using machine learning techniques,there is a lack of systematic comparison of supervised classifiers for Windows malware *** the relative effectiveness of these classifiers can inform the selection of optimal detection methods and improve overall security *** study aims to bridge the research gap by conducting a comparative analysis of supervised machine learning classifiers for detecting malware on Windows *** objectives include Investigating the performance of various classifiers,such as Gaussian Naïve Bayes,K Nearest Neighbors(KNN),Stochastic Gradient Descent Classifier(SGDC),and Decision Tree,in detecting Windows *** the accuracy,efficiency,and suitability of each classifier for real-world malware detection *** the strengths and limitations of different classifiers to provide insights for cybersecurity practitioners and *** recommendations for selecting the most effective classifier for Windows malware detection based on empirical *** study employs a structured methodology consisting of several phases:exploratory data analysis,data preprocessing,model training,and *** data analysis involves understanding the dataset’s characteristics and identifying preprocessing *** preprocessing includes cleaning,feature encoding,dimensionality reduction,and optimization to prepare the data for *** training utilizes various

关键词： Security and privacy challenges in the context of requirements engineering supervisedmachine learning malware detection windows systems comparative analysis Gaussian Naive Bayes K Nearest Neighbors Stochastic Gradient Descent Classifier Decision Tree

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Focus on current and emerging treatment options for glioma:A comprehensive review

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World Journal of Clinical Oncology 2024年第4期15卷 482-495页

作者： Brandon Lucke-Wold Burhanuddin Sohail Rangwala muhammad Ashir Shafique Mohammad Arham Siddiq muhammad saqlain Mustafa Fnu Danish Rana muhammad Umer Nasrullah Noor Zainab Abdul Haseeb Department of Neurosurgery University of FloridaGainesvilleFL 32608United States Department of Neurosurgery Jinnah Sindh Medical UniversityKarachi 75510Pakistan Department of Neurosurgery Army Medical CollegeRawalpindi 46000Pakistan

This comprehensive review delves into the current updates and challenges associated with the management of low-grade gliomas(LGG),the predominant primary tumors in the central nervous *** a general incidence rate of 5.81 per 100000,gliomas pose a significant global concern,necessitating advancements in treatment techniques to reduce mortality and *** review places a particular focus on immunotherapies,discussing promising agents such as Zotiraciclib and ***,a CDK9 inhibitor,has demonstrated efficacy in glioblastoma treatment in preclinical and clinical studies,showing its potential as a therapeutic ***,a viral immunotherapy,induces inflammation in glioblastoma and displays positive outcomes in both adult and pediatric *** of immunotherapy extends to Pembrolizumab,Nivolumab,and Entrectinib,revealing the challenges and variabilities in patient *** promising preclinical data,the monoclonal antibody Depatuxizumab has proven ineffective in glioblastoma treatment,emphasizing the critical need to understand resistance *** review also covers the success of radiation therapy in pediatric LGG,with evolving techniques,such as proton therapy,showing potential improvements in patient quality of *** treatment is discussed in the context of achieving a balance between preserving the patient’s quality of life and attaining gross total resection,with the extent of surgical resection significantly influencing the survival *** addition to advancements in cancer vaccine development,this review highlights the evolving landscape of LGG treatment,emphasizing a shift toward personalized and targeted *** research is essential for refining strategies and enhancing outcomes in the management of LGG.

关键词： Low-grade gliomas Monoclonal antibody Lerapolturev Glioblastoma CDK9 inhibitor

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Single-atom catalysts for electrochemical N2 reduction to NH3

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Rare Metals 2023年第4期42卷 1075-1097页

作者： muhammad saqlain lqbal Zhi-Bo Yao Yu-Kun Ruan Ramsha Iftikhar Lei-Duan Hao Alex W.Robertson Syed muhammad Imran Zhen-Yu Sun Department of Chemical Engineering COMSATS University Islamabad State Key Laboratory of Organic-Inorganic Composites College of Chemical EngineeringBeijing University of Chemical Technology Department of Chemistry Government College University Faisalabad Department of Physics University of Warwick

The increasing demand for clean energy and growing concerns regarding environmental sustainability have led to greater attention devoted toward the production of clean fuels via green *** this respect,ammonia is a green alternative to fossil fuels and can serve as a clean energy *** is now great interest in realizing the electrochemical reduction in atmospheric nitrogen（N2） for cheap,environmentally friendly and reliable ammonia（NH3） production ***,the robustness of the triple bond in N2 and the low efficiency of candidate catalysts limit the utility of this *** atom catalysts have been found to be more effective than nanoparticles due to their unique properties,and thus have been studied extensively for the nitrogen reduction *** this review,we have covered the recent advances in design and synthesis of noble metal and non-noble metal single atom catalysts for the electrochemical reduction in nitrogen during the years *** catalyst efficiencies,with reference to coordination preferences and theoretical studies have been ***,we also provide insights into the current challenges and some considerations for further future studies.

关键词： N 2 reduction Single atom catalyst (SAC) Electrocatalysis NH 3

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Multi-valued interval neutrosophic linguistic soft set theory and its application in knowledge management

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CAAI Transactions on Intelligence Technology 2020年第3期5卷 200-208页

作者： Nor Liyana Amalini Mohd Kamal Lazim Abdullah Ilyani Abdullah muhammad saqlain Faculty of Ocean Engineering and Informatics Universiti Malaysia Terengganu21030 Kuala NerusTerengganuMalaysia Department of Mathematics Lahore Garrison UniversityDHA Phase VISector-CLahorePakistan

This study proposed the concepts of a multi-valued interval neutrosophic linguistic soft set(MVINLSS)by integrating the concepts of multi-valued interval neutrosophic soft set and linguistic *** is presented as it can deal with ambiguous and uncertain information in decision making which is characterised by linguistic *** proposed set amalgamates quantitative assessment with the qualitative assessment which can solve complex problems with ambiguity,uncertainty,and *** can be an effective tool to describe the real decision-makers’opinions and reflect their ***,the authors propose the basic operational rules of ***,they define a multi-valued interval neutrosophic linguistic soft weighted arithmetic averaging *** work proposed a multi-criteria decision-making(MCDM)method which considers different priority levels of criteria and the criteria values take the form of multi-valued interval neutrosophic linguistic soft ***,the proposed MCDM method is applied to the knowledge management case,considering 11 criteria.

关键词： valued qualitative integrating

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Human Behavior Classification Using Geometrical Features of Skeleton and Support Vector Machines

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Computers, Materials & Continua 2019年第8期61卷 535-553页

作者： Syed muhammad saqlain Shah Tahir Afzal Malik Robina khatoon Syedsaqlain Hassan Faiz Ali Shah Department of CS&SE International Islamic UniversityH-10 SectorIslamabad44000Pakistan Department of Management Information Systems Ibn Rushd College of Management SciencesAbhaSaudi Arabia Department of Computer Science Bahria UniversityIslamabad44000Pakistan Institute of Computer Science University of TartuTartuEstonia

Classification of human actions under video surveillance is gaining a lot of attention from computer vision *** this paper,we have presented methodology to recognize human behavior in thin crowd which may be very helpful in *** have mostly focused the problem of human detection in thin crowd,overall behavior of the crowd and actions of individuals in video *** based Human behavior modeling is a complex task as it involves human detection,tracking,classifying normal and abnormal *** proposed methodology takes input video and applies Gaussian based segmentation technique followed by post processing through presenting hole filling algorithm i.e.,fill hole inside objects *** detection is performed by presenting human detection algorithm and then geometrical features from human skeleton are extracted using feature extraction *** classification task is achieved using binary and multi class support vector *** proposed technique is validated through accuracy,precision,recall and F-measure metrics.

关键词： Human behavior classification segmentation human detection support vector machine

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基于团簇式的GH2132高温合金成分协同变化关系

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材料科学与工艺 2022年第6期30卷 1-9页

作者：李陌李言成王清董闯 QURASHI muhammad saqlain 赵亚军张爽李瑛王连超万鹏三束材料改性教育部重点实验室(大连理工大学) 辽宁大连116024 大连交通大学材料科学与工程学院辽宁大连116028 东北特殊钢集团股份有限公司辽宁大连116105 佛山市顺德区美的电热电器制造有限公司广东佛山528300

GH2132(A286)是析出强化型铁基高温合金,其含有多种合金化元素,为避免不合适的成分选择导致的综合性能失配,通过重点分析东北特钢提供的产品成分,解析国标成分区间的合理性,本文提出了一个更加合适的新成分标准形式。为此,引入“团簇加... 详细信息

GH2132(A286)是析出强化型铁基高温合金,其含有多种合金化元素,为避免不合适的成分选择导致的综合性能失配,通过重点分析东北特钢提供的产品成分,解析国标成分区间的合理性,本文提出了一个更加合适的新成分标准形式。为此,引入“团簇加连接原子”结构模型,该模型将合金成分的结构载体表述为[中心-第一近邻](连接原子)的团簇成分式形式。首先将合金化元素分为基体Fe、稳定奥氏体的(Ni,Mn)、稳定铁素体的(Cr,Mo,V,Si,Ti,Al)、以及不进入团簇式的(C,P,S,B)。通过分析国标规定的成分区间和实际合金成分,指出合金的实际成分区间远小于国标范围,并由16原子的成分式限定:Fe_((8.5~9.0)±0.25)(Ni,Mn)_(4±0.25)(Cr,Mo,V,Si,Ti,Al)_(3~3.5)。进而揭示了同类元素内部的质量百分比协同变化关系,即24.6≤Ni+Mn≤28.0和17.4≤Cr+0.6Mo+V+1.7Si+1.1Ti+1.8Al≤20.4。由此更合理地限定Mn、Si元素成分区间,并对东北特钢的合金成分提供了改进建议。

关键词： GH2132合金团簇加连接原子模型团簇式成分标准协同变化关系

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Effect of compression deformation on precipitation phase behavior of B-containing S31254 super austenitic stainless steel

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Journal of Iron and Steel Research International 2019年第7期26卷 712-719页

作者： Jin-gang Bai Yi-shi Cui Jian Wang Nan Dong muhammad saqlain Qurashi Hai-rui Wei Yong-chao Yang Pei-de Han College of Materials Science and Engineering Taiyuan University of Technology Taiyuan 030024 Shanxi China State Key Laboratory of Advanced Stainless Steel Materials Taiyuan 030003 Shanxi China

Effects of compression deformation on the sigma-phase precipitation behavior of B-containing S31254 stainless steel after solution treatment were studied using the Gleeble compression test. The cold and hot processing characteristics of B-containing S31254 stainless steel were evaluated, and the results show that the speed of compression deformation increased the precipitation rate of the sigma phase, and the location of precipitation extended from the austenite grain boundary to the original hot rolling deformation area. During cold deformation at room temperature, the precipitation rate increased when the deformation reached at 40%. Deformation at 950℃ affected precipitation more obviously. At 1074 ℃, when the deformation reached 20%, the precipitated phases started increasing, and above this deformation range, precipitation began decreasing. Also, at 1074℃ the deformation accelerated the precipitation of sigma phase;but with deformation, there was a change in critical temperature for the sigma-phase excursion. The precipitation position of the sigma phase is strongly related to the area of the original hot rolling deformation. With an increase in the deformation amount, precipitates in this region appeared as coarse-grained, skeletal, and network-like features.

关键词： Compression deformation Super austenitic stainless steel Precipitate phase Alloying Microstructure

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Context Based Adoption of Ranking and Indexing Measures for Cricket Team Ranks

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Computers, Materials & Continua 2020年第11期65卷 1113-1136页

作者： Raja Sher Afgun Usmani Syed muhammad saqlain Shah muhammad Sher Ramzan Abdullah Saad A.L-Malaise AL-Ghamdi Anwar Ghani Imran Khan Farrukh Saleem Department of CS&SE International Islamic UniversityH-10 SectorIslamabad44000Pakistan Department of Information System Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia

There is an international cricket governing body that ranks the expertise of all the cricket playing nations,known as the International Cricket Council(ICC).The ranking system followed by the ICC relies on the winnings and defeats of the *** model used by the ICC to implement rankings is deficient in certain key *** ignores key factors like winning margin and strength of the *** measures of the ranking concept are presented in this *** proposed methods adopt the concepts of h-Index and PageRank for presenting more comprehensive ranking *** proposed approaches not only rank the teams on their losing/winning stats but also take into consideration the margin of winning and the quality of the *** cricket team ranking techniques are presented i.e.,(1)Cricket Team-Index(ct-index),(2)Cricket Team Rank(CTR)and(3)Weighted Cricket Team Rank(WCTR).The proposed metrics are validated through the collection of cricket dataset,extracted from Cricinfo,having instances for all the three formats of the game i.e.,T20 International(T20i),One Day International(ODI)and Test *** comparative analysis between the proposed and existing techniques,for all the three formats,is presented as well.

关键词： Indexing ranking cricket teams runs and wickets

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Single-atom catalysts for electrochemical N_(2)reduction to NH_(3)

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Rare Metals 2023年第4期42卷 1075-1097页

作者： muhammad saqlain lqbal Zhi-Bo Yao Yu-Kun Ruan Ramsha Iftikhar Lei-Duan Hao Alex WRobertson Syed muhammad Imran Zhen-Yu Sun Department of Chemical Engineering COMSATS University IslamabadLahore 54000Pakistan State Key Laboratory of Organic-Inorganic Composites College of Chemical EngineeringBeijing University of Chemical TechnologyBeijing 100029China Department of Chemistry Government College University FaisalabadFaisalabad 38000Pakistan Department of Physics University of WarwickCoventry CV47ALUK

The increasing demand for clean energy and growing concerns regarding environmental sustainability have led to greater attention devoted toward the production of clean fuels via green *** this respect,ammonia is a green alternative to fossil fuels and can serve as a clean energy *** is now great interest in realizing the electrochemical reduction in atmospheric nitrogen(N_(2))for cheap,environmentally friendly and reliable ammonia(NH_(3))production ***,the robustness of the triple bond in N2 and the low efficiency of candidate catalysts limit the utility of this *** atom catalysts have been found to be more effective than nanoparticles due to their unique properties,and thus have been studied extensively for the nitrogen reduction *** this review,we have covered the recent advances in design and synthesis of noble metal and non-noble metal single atom catalysts for the electrochemical reduction in nitrogen during the years *** catalyst efficiencies,with reference to coordination preferences and theoretical studies have been ***,we also provide insights into the current challenges and some considerations for further future studies.

关键词： N_(2)reduction Single atom catalyst(SAC) Electrocatalysis NH_(3)

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950℃时效条件下硼对S31254不锈钢析出相的影响

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金属热处理 2019年第9期44卷 1-4页

作者：白晋钢崔一士王剑董楠 Qurashi muhammad saqlain 杨永超韩培德太原理工大学材料科学与工程学院山西太原030024 先进不锈钢材料国家重点实验室山西太原030003

采用管式加热炉对S31254不锈钢在950℃下时效不同时间的第二相析出行为进行了研究,重点研究了硼的添加量对析出速度的影响规律。研究表明,在950℃保温约5 min后不添加硼的S31254不锈钢就可以看到明显的第二相析出;当添加0. 002%的硼后,... 详细信息

采用管式加热炉对S31254不锈钢在950℃下时效不同时间的第二相析出行为进行了研究,重点研究了硼的添加量对析出速度的影响规律。研究表明,在950℃保温约5 min后不添加硼的S31254不锈钢就可以看到明显的第二相析出;当添加0. 002%的硼后,第二相的析出时间延长到10 min,且时效时间在30 min后才会大量析出第二相;当继续添加硼到0. 004%后,第二相的时间析出延长到了30 min,且析出的第二相尺寸要小于不添加硼的试样。

关键词：超级奥氏体不锈钢 σ相析出机理硼

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