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Ensemble Learning Models for Classification and Selection of Web Services: A Review

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Computer Systems Science & Engineering 2022年第1期40卷 327-339页

作者： muhammad Hasnain imran ghani Seung Ryul Jeong Aitizaz Ali Monash University Petaling Jaya46150Malaysia Indiana University of Pennsylvania IndianaPA 15705USA Kookmin University Seoul02707Korea

This paper presents a review of the ensemble learning models proposed for web services classification,selection,and *** service is an evo-lutionary research area,and ensemble learning has become a hot spot to assess web services’earlier mentioned *** proposed research aims to review the state of art approaches performed on the interesting web services *** literature on the research topic is examined using the preferred reporting items for systematic reviews and meta-analyses(PRISMA)as a research *** study reveals an increasing trend of using ensemble learning in the chosen papers within the last ten ***ïve Bayes(NB),Support Vector Machine’(SVM),and other classifiers were identified as widely explored in selected *** analysis of web services classification suggests that web services’performance aspects can be investigated in future *** paper also identified performance measuring metrics,including accuracy,precision,recall,and f-measure,widely used in the literature.

关键词： Web services composition quality improvement class imbalance machine learning

Empirical Analysis of Software Success Rate Forecasting During Requirement Engineering Processes

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Computers, Materials & Continua 2023年第1期74卷 783-799页

作者： muhammad Hasnain imran ghani Seung Ryul Jeong muhammad Fermi Pasha Sardar Usman Anjum Abbas Lahore Leads University Lahore42000Pakistan Computer and Information Sciences Virginia Military InstituteLexingtonVA24450USA Graduate School of Business IT Kookmin UniversitySeoul136Korea School of Information Technology Monash UniversityBandar Sunway47500Malaysia Department of Computer Science and Software Engineering Grand Asian University Sialkot51040Pakistan Government Sarwar Shaheed Associate College Gujjar KhanRawalpindi46000Pakistan

Forecasting on success or failure of software has become an interesting and,in fact,an essential task in the software development *** order to explore the latest data on successes and failures,this research focused on certain questions such as is early phase of the software development life cycle better than later phases in predicting software success and avoiding high rework?What human factors contribute to success or failure of a software?What software practices are used by the industry practitioners to achieve high quality of software in their day-to-day work?In order to conduct this empirical analysis a total of 104 practitioners were recruited to determine how human factors,misinterpretation,and miscommunication of requirements and decision-making processes play their roles in software success *** discussed a potential relationship between forecasting of software success or failure and the development *** noticed that experienced participants had more confidence in their practices and responded to the questionnaire in this empirical study,and they were more likely to rate software success forecasting linking to the development *** analysis also shows that cognitive bias is the central human factor that negatively affects forecasting of software success *** results of this empirical study also validated that requirements’misinterpretation and miscommunication were themain causes behind software systems’*** has been seen that reliable,relevant,and trustworthy sources of information help in decision-making to predict software systems’success in the software *** empirical study highlights a need for other software practitioners to avoid such bias while working on software *** investigation can be performed to identify the other human factors that may impact software systems’success.

关键词： Cognitive bias misinterpretation of requirements miscommunication software success and failure prediction decision making

Combined measures to control the COVID-19 pandemic in Wuhan, Hubei, China: A narrative review

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Journal of Biosafety and Biosecurity 2020年第2期2卷 51-57页

作者： muhammad Hasnain muhammad Fermi Pasha imran ghani School of Information Technology Malaysia Monash UniversityMalaysia Faculty at School of IT Malaysia Monash UniversityMalaysia Department of Mathematics and Computer Sciences Indiana University of PennsylvaniaIndianaPA 15705USA

Coronavirus disease 2019(COVID-19)is an emerging disease caused by the coronavirus,SARS-CoV-2,which leads to severe respiratory infections in ***-19 was first reported in December 2019 in Wuhan city,a populated area of the Hubei province in *** of now,Wuhan and other cities nearby have become safe places for *** rapid control of the spread of COVID-19 infection was made possible due to several interventions and measures that were undertaken in *** narrative review study was designed to evaluate the emerging literature on the combined measures taken to control the COVID-19 pandemic in Wuhan *** Direct,Springer,Web of Science,and the PubMed data repositories were searched for studies published between December 1,2019,and June 07,*** referred“preferred reporting items for systematic reviews and meta-analyses”(PRISMA)protocol was used to conduct this narrative review.A total of 330 research studies were found as a result of the initial search based on exclusion and inclusion criteria,and 30 articles were chosen on final *** was discovered that the combined measures to control the spread of COVID-19 in Wuhan included cordon sanitaire,social distancing,universal symptom surveys,quarantine strategies,and transport *** on the recommendations presented in this review study,existing policies with regard to combined measures and public health policies can be enforced by other countries to implement a rapid control procedure to control the spread of the COVID-19 pandemic.

关键词： COVID-19 Combined measures Lockdown Public health Review Implications

Prediction of Extremist Behaviour and Suicide Bombing from Terrorism Contents Using Supervised Learning

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Computers, Materials & Continua 2022年第3期70卷 4411-4428页

作者： Nasir Mahmood muhammad Usman ghani Khan Department of Computer Science University of Engineering and Technology54890Lahore

This study proposes an architecture for the prediction of extremist human behaviour from projected suicide *** linking‘dots’of police data comprising scattered information of people,groups,logistics,locations,communication,and spatiotemporal characters on different social media groups,the proposed architecture will spawn beneficial *** useful information will,in turn,help the police both in predicting potential terrorist events and in investigating previous ***,this architecture will aid in the identification of criminals and their associates and *** is psychological warfare,which,in the broadest sense,can be defined as the utilisation of deliberate violence for economic,political or religious *** this study,a supervised learning-based approach was adopted to develop the proposed *** dataset was prepared from the suicide bomb blast data of Pakistan obtained from the South Asia Terrorism Portal(SATP).As the proposed architecture was simulated,the supervised learning-based classifiers na飗e Bayes and Hoeffding Tree reached 72.17%*** of the additional benefits this study offers is the ability to predict the target audience of potential suicide bomb blasts,which may be used to eliminate future threats or,at least,minimise the number of casualties and other property losses.

关键词： Extremism terrorism suicide bombing crime prediction pattern recognition machine learning supervised learning

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

Acral melanoma detection using dermoscopic images and convolutional neural networks

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Visual Computing for Industry,Biomedicine,and Art 2021年第1期4卷 246-257页

作者： Qaiser Abbas Farheen Ramzan muhammad Usman ghani Department of Computer Science University of Engineering and Technology54890 LahorePakistan

Acral melanoma(AM)is a rare and lethal type of skin *** can be diagnosed by expert dermatologists,using dermoscopic *** is challenging for dermatologists to diagnose melanoma because of the very minor differences between melanoma and non-melanoma *** of the research on skin cancer diagnosis is related to the binary classification of lesions into melanoma and ***,to date,limited research has been conducted on the classification of melanoma *** current study investigated the effectiveness of dermoscopy and deep learning in classifying melanoma subtypes,such as,*** this study,we present a novel deep learning model,developed to classify skin *** utilized a dermoscopic image dataset from the Yonsei University Health System South Korea for the classification of skin *** image processing and data augmentation techniques have been applied to develop a robust automated system for AM *** custombuilt model is a seven-layered deep convolutional network that was trained from ***,transfer learning was utilized to compare the performance of our model,where AlexNet and ResNet-18 were modified,fine-tuned,and trained on the same *** achieved improved results from our proposed model with an accuracy of more than 90%for AM and benign nevus,***,using the transfer learning approach,we achieved an average accuracy of nearly 97%,which is comparable to that of state-of-the-art *** our analysis and results,we found that our model performed well and was able to effectively classify skin *** results show that the proposed system can be used by dermatologists in the clinical decision-making process for the early diagnosis of AM.

关键词： Deep learning Acral melanoma Skin cancer detection Convolutional networks Dermoscopic images Medical image analysis Computer based diagnosis

Smart Security Framework for Educational Institutions Using Internet of Things(IoT)

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Computers, Materials & Continua 2019年第7期61卷 81-101页

作者： Afzal Badshah Anwar ghani muhammad Ahsan Qureshi Shahaboddin Shamshirband Department of Computer Science and Software Engineering International Islamic UniversityIslamabad44000Pakistan Faculty of Computing and Information Technology University of JeddahKhulais21959Kingdom of Saudi Arabia Department for Management of Science and Technology Development Ton Duc Thang UniversityHo Chi Minh CityVietnam Faculty of Information Technology Ton Duc Thang UniversityHo Chi Minh CityVietnam

Educational institutions are soft targets for the terrorist with massive and defenseless *** the recent past,numbers of such attacks have been executed around the *** research,in order to provide a secure environment to the educational institutions is a challenging *** effort is motivated by recent assaults,made at Army Public School Peshawar,following another attack at Charsada University,Khyber Pukhtun Khwa,Pakistan and also the Santa Fe High School Texas,USA *** study uses the basic technologies of edge computing,cloud computing and IoT to design a smart emergency alarm system *** is engaged in developing this world smarter,can contribute significantly to design the Smart Security Framework(SSF)for educational *** the emergency situation,all the command and control centres must be informed within seconds to halt or minimize the *** this article,the SSF is *** framework works on three *** first layer is the sensors and smart devices *** these sensors and smart devices are connected to the Emergency Control Room(ECR),which is the second layer of the proposed *** second layer uses edge computing technologies to process massive data and information *** third layer uses cloud computing techniques to transmit and process data and information to different command and control *** proposed system was tested on Cisco Packet Tracer *** result shows that this approach can play an efficient role in security alert,not only in the educational institutions but also in other organizations too.

关键词： Internet of things smart security framework massacres terrorism smart emergency alert

5-Aminolevulinic acid alleviates herbicide-induced physiological and ultrastructural changes in Brassica napus

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Journal of Integrative Agriculture 2018年第3期17卷 579-592页

作者： XU Ling Faisal Islam ZHANG Wen-fang muhammad A ghani Basharat Ali Key Laboratory of Plant Secondary Metabolism and Regulation of Zhejiang/College of Life Sciences Zhejiang Sci-Tech University Hangzhou 310018 P.R.China College of Agriculture and Biotechnology Zhejiang University Hangzhou 310058 P.R. China Jiading District Agro-Technology Extension Service Center Shanghai 201800 P.R. China Institute of Horticultural Sciences University of Agriculture Faisalabad 38040 Pakistan Institute of Crop Science and Resource Conservation University of Bonn Bonn 53115 Germany

It is well known that application of 5-aminolevuJinic acid （ALA） could promote the plant growth under abiotic stress in oilseed rape （Brassica napus L.）. However, the specifics of its physiological and ultrastructural regulation under herbi- cide stress conditions are poorly understood. In the present study, alleviating role of ALA in B. napus was investigated under four levels of herbicide propyl 4-（2-（4,6-dimethoxypyrimidin-2-yloxy） benzylamino） benzoate （ZJ0273）（0, 100, 200 and 500 mg L-1） with or without 1 mg L-1 ALA treated for 48 or 72 h. Results showed that after 48 h of herbicide stress, the growth of rape seedlings was significantly inhibited with the successive increases of the ZJ0273 concentrations from 0 to 500 mg L-1, but this inhibition was obviously alleviated by exogenous application of ALA. However, when treatment time prolonged to 72 h, the recovery effects of ALA could not be evaluated due to the death of plants treated with the highest concentration of ZJ0273 （500 mg L-1）. Further, the root oxidizability and activities of antioxidant enzymes （superoxide dismutase, perox- idase and ascorbate peroxidase） were dramatically enhanced by the application of 1 mg L-1 ALA under herbicide stress. Therefore, plants treated with ALA dynamically modulated their antioxidant defenses to reduce reactive oxygen species （ROS） accumulation and malondialdehyde （MDA） content induced by herbicide stress. Additionally, exogenously applied ALA improved the ultrastructure＇s of chloroplast, mitochondria and nucleus, and induced the production of stress proteins. Our results suggest that ALA could be considered as a potential plant growth regulator for the improvement of herbicide tolerance through alleviation of the physiological and ultrastructural changes induced by the herbicide in crop production.

关键词： Brassica napus L. ALA ZJ0273 plant growth antioxidant enzyme activities ultrastructure two-dimensional gel electrophoresis (2-DE)

Fake News Classification: Past, Current, and Future

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Computers, Materials & Continua 2023年第11期77卷 2225-2249页

作者： muhammad Usman ghani Khan Abid Mehmood Mourad Elhadef Shehzad Ashraf Chaudhry Department of Computer Science University of Engineering and TechnologyLahore54890Pakistan Department of Computer Science&Information Technology Abu Dhabi UniversityAbu Dhabi59911United Arab Emirates Department of Software Engineering Faculty of Engineering and ArchitectureNisantasi UniversityIstanbulTurkey

The proliferation of deluding data such as fake news and phony audits on news web journals,online publications,and internet business apps has been aided by the availability of the web,cell phones,and social *** can quickly fabricate comments and news on social *** most difficult challenge is determining which news is real or ***,tracking down programmed techniques to recognize fake news online is *** an emphasis on false news,this study presents the evolution of artificial intelligence techniques for detecting spurious social media *** study shows past,current,and possible methods that can be used in the future for fake news *** different publicly available datasets containing political news are utilized for performing *** supervised learning algorithms are used,and their results show that conventional Machine Learning(ML)algorithms that were used in the past perform better on shorter text *** contrast,the currently used Recurrent Neural Network(RNN)and transformer-based algorithms perform better on longer ***,a brief comparison of all these techniques is provided,and it concluded that transformers have the potential to revolutionize Natural Language Processing(NLP)methods in the near future.

关键词： Supervised learning algorithms fake news classification online disinformation transformers recurrent neural network(RNN)disinformation transformers recurrent neural network(RNN)