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Malaysian Conference in Software Engineering (MySEC)

作者： Khaled Mohammed bin Abdl Siti Zaiton Mohd Hashim Faculty of applied Science Hadhramout University for Science & Technology Yemen Faculty of Computing Universiti Teknologi Malaysia Malaysia

Handwriting is a skillful graphical shapes accomplished by human on a surface paper, wood, etc. Analyzing differences and similarities between writers in order to identify the authorship of handwritten document is called writer identification. While invariant features are the core stone to classify the writers, the importance of a specific feature has not been investigated. This study aimed to examine feature importance in writer identification using Binary Particle Swarm Optimization (BPSO) algorithm. Off-line text-dependent words from IAM database are used. Moment and statistical features are extracted to represent the handwritten words. A significance influence of the feature weight is being showed by the experiments results.

关键词： Feature extraction Handwriting recognition Optimization Writing Conferences Acceleration

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A generic metric for measuring complexity of models

A generic metric for measuring complexity of models

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作者： Schalles, Christian Creagh, John Rebstock, Michael Department of Computing Cork Institute of Technology Rossa Ave Cork Ireland Faculty of Economics and Business Administration Hochschule Darmstadt University of Applied Sciences Haardtring 100 64295 Darmstadt Germany

ISBN: (纸本)9789898425065

In recent years, various object and process oriented modelling methods were developed to support the process of modelling in enterprises. When applying these methods, graphical models are generated and used to depict various aspects of enterprise architectures. Concerning this, surveys analyzing modelling languages in different ways were conducted. In many cases these surveys include experimental data collection methods. At this juncture the complexity of concrete models often affects output of these studies. To ensure complexity value comparability of different models, a generic metric for measuring complexity of models is proposed.

关键词： Surveys

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Impacts of oxytactic microorganisms and viscous dissipation in Carreau nanoliquid featuring ferromagnetic nanoparticles

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Partial Differential Equations in applied Mathematics 2025年 13卷

作者： Tabrez, Muhammad Hussain, I. Khan, W.A. Khan, S.U. Waqas, M. Rashid, Rzgar Farooq Anwar, M.I. Ammar, Mohamed Ben Zamri, Nurnadiah Abiyev, Ruzimurod Garalleh, Hakim AL Department of Mathematics Mohi-ud-Din Islamic University Nerian Sharif Azad Jammu and Kashmir 12010 Pakistan Department of Mathematics Namal University Mianwali 42250 Pakistan NUTECH School of Applied Sciences and Humanities National University of Technology Islamabad 44000 Pakistan Department of Computer Science and Mathematics Lebanese American University Beirut Lebanon Faculty of Informatics and Computing Universiti Sultan Zainal Abidin Besut Campus Terengganu Besut 22200 Malaysia Department of Medical Laboratory Science College of Science Knowledge University Erbil 44001 Iraq Department of Medical Laboratory Technique College of Medical Technology AL-Kitab University Kirkuk Iraq Department of Mathematics School of Sciences and Humanities Nazarbayev University Astana Kazakhstan Center for Scientific Research and Entrepreneurship Northern Border University Arar 73213 Saudi Arabia Department of Mathematics and its Teaching Methods in Primary Education Tashkent State Pedagogical University Tashkent Uzbekistan Department of Mathematical Science College of Engineering University of Business and Technology Jeddah 21361 Saudi Arabia

Owing to rapid progress in field of nanotechnology, various mathematical model has been proposed regarding the flow of nanofluids. Based on boosted thermal properties, multidisciplinary applications of such materials has been claimed in various engineering and industrial processes. In current work, a theoretical analysis is performed for bioconvective flow of Carreau fluid with applications of magnetic dipole. The significance of magnetic dipole are presented with interaction of ferrofluid. The applications of viscous dissipation have also been entertained. The flow is subject to applications of stretched surface. Similarity variables are used for making transformation to obtain set of nonlinear ODEs from set of PDEs. The numerical computation is also made by using of well-known numerical method termed as bvp4c. Influences of various non dimensional fluid parameters like Brownian motion, viscous dissipation, Curie temperature, Weissenberg number, motile difference parameter and bioconvection Paclet number are examined and expressed graphically. It is perceived that ferrofluid's concentration declines when Brownian diffusive variable is augmented while opposite characteristics are reported for Schmidt number. Current results conveying applications in the biofuels, better heat transport medium, fertilizers, catalysts, electronics, paints, semiconductors, speakers, drug delivery, fertilizers etc. © 2024 The Author(s)

关键词： Bioconvection Carreau fluid Ferromagnetic flow Magnetic dipole Viscous dissipation

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Analysis of Robotics, Artificial intelligence and Machine learning in the field of healthcare sector

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Materials Today: Proceedings 2022年 56卷 2323-2327页

作者： Sarath Kumar Boddu, Raja Ahamad, Shahanawaj Pradeep Kumar, K.V. Ramalingam, Mritha Kirana Pallathadka, Laxmi Peniero Tupas, Fernan Department of CSE Lenora College of Engineering Andhra Pradesh Rampachodavaram India College of Computer Science and Engineering University of Hail Saudi Arabia Department of Mechanical Engineering Ramaiah Institute of Technology Bengaluru India Faculty of Computing College of Computing and Applied Sciences University Malaysia Pahang Malaysia Manipur International University Manipur Imphal India Department of Biology Northern Iloilo Polytechnic State College India

Technological innovation or AI is enabled to determine the human's cognitive activities. ML, AI and automation processes made rapid changes in the pharma industry. The use of different analytic techniques helped to decrease the mortality rate worldwide. Uses of the AI tools help to determine the critical disease. Identification of genetic disputes is important for diagnosis and treatment. The growing technology helps to identify the dose errors in pharma companies. Currency analysis, frequent spectral analysis and the feature attraction process are necessary for Machine Learning (ML). Industry 4.0, ML considers the effectiveness of ML. Development of the intelligence computer programme is important for machine simulation. Moreover, it increases problem-solving skills in the pharma industry. The introduction sheds light on the entire project. The literature review has discussed the role of technological advantages in the medical industry. The impact of AI, ML and automation processes enhance profitability. The advantages and disadvantages of AI, ML and automation processes have been discussed in the literature review. In the methodology section, the secondary methodology has been chosen. Some inclusion and exclusion criteria have been concerned for the collection of effective information on the research topic. Cloud computing, cognitive systems and big data analysis, R&D process make huge changes in the pharma company. Increasing the use of the automation process provides safety and consistency to develop interconnectivity between the market demands, production rate of medicines. Recommendation and conclusion will be provided to maintain accuracy throughout the research paper. © 2021

关键词： Automation

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Social mining for sustainable cities: thematic study of gender-based violence coverage in news articles and domestic violence in relation to COVID-19

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Journal of Ambient Intelligence and Humanized computing 2023年第11期14卷 14631-14642页

作者： Manzoor, Muhammad Asad Hassan, Saeed-Ul Muazzam, Amina Tuarob, Suppawong Nawaz, Raheel Department of Computer Science Information Technology University 346-B Ferozepur Road Lahore Pakistan Department of Computing and Mathematics Manchester Metropolitan University Manchester United Kingdom Department of Applied Psychology Lahore College for Women University Lahore54000 Pakistan Faculty of Information and Communication Technology Mahidol University Salaya Thailand Department of Operations Technology Events and Hospitality Management Manchester Metropolitan University Manchester United Kingdom

We argue that social computing and its diverse applications can contribute to the attainment of sustainable development goals (SDGs)—specifically to the SDGs concerning gender equality and empowerment of all women and girls, and to make cities and human settlements inclusive. To achieve the above goals for the sustainable growth of societies, it is crucial to study gender-based violence (GBV) in a smart city context, which is a common component of violence across socio-economic groups globally. This paper analyzes the nature of news articles reported in English newspapers of Pakistan, India, and the UK—accumulating 12,693 gender-based violence-related news articles. For the qualitative textual analysis, we employ Latent Dirichlet allocation for topic modeling and propose a Doc2Vec based word-embeddings model to classify gender-based violence-related content, called GBV2Vec. Further, by leveraging GBV2Vec, we also build an online tool that analyzes the sensitivity of Gender-based violence-related content from the textual data. We run a case study on GBV concerning COVID-19 by feeding the data collected through Google News API. Finally, we show different news reporting trends and the nature of the gender-based violence committed during the testing times of COVID-19. The approach and the toolkit that this paper proposes will be of great value to decision-makers and human rights activists, given the prompt and coordinated performance against gender-based violence in smart city context—and can contribute to the achievement of SDGs for sustainable growth of human societies. © 2022, Crown.

关键词： COVID-19

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Semi/Fully-Automated Segmentation of Gastric-Polyp Using Aquila-Optimization-Algorithm Enhanced Images

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Computers, Materials & Continua 2022年第2期70卷 4087-4105页

作者： Venkatesan Rajinikanth Shabnam Mohamed Aslam Seifedine Kadry Orawit Thinnukool Department of Electronics and Instrumentation Engineering St.Joseph’s College of Engineering Chennai600119India Department of Information Technology College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Faculty of Applied Computing and Technology Noroff University CollegeKristiansand4608Norway Research Group of Embedded Systems and Mobile Application in Health Science College of ArtsMedia and TechnologyChiang Mai UniversityChiang Mai50200Thailand

The incident rate of the Gastrointestinal-Disease(GD)in humans is gradually rising due to a variety of reasons and the Endoscopic/Colonoscopic-Image(EI/CI)supported evaluation of the GD is an approved *** and evaluation of the suspicious section of the EI/CI is essential to diagnose the disease and its *** proposed research aims to implement a joint thresholding and segmentation framework to extract the Gastric-Polyp(GP)with better *** proposed GP detection system consist;(i)Enhancement of GP region using Aquila-Optimization-Algorithm supported tri-level thresholding with entropy(Fuzzy/Shannon/Kapur)and between-class-variance(Otsu)technique,(ii)Automated(Watershed/Markov-Random-Field)and semi-automated(Chan-Vese/Level-Set/Active-Contour)segmentation of GPfragment,and(iii)Performance evaluation and validation of the proposed *** experimental investigation was performed using four benchmark EI dataset(CVC-ClinicDB,ETIS-Larib,EndoCV2020 and Kvasir).The similarity measures,such as Jaccard,Dice,accuracy,precision,sensitivity and specificity are computed to confirm the clinical significance of the proposed *** outcome of this research confirms that the fuzzyentropy thresholding combined with Chan-Vese helps to achieve a better similarity measures compared to the alternative schemes considered in this research.

关键词： Endoscopic/colonoscopic-image gastric polyp aquila-optimizationalgorithm fuzzy entropy chan-vese segmentation

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Chaotic Flower Pollination with Deep Learning Based COVID-19 Classification Model

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Computers, Materials & Continua 2023年第3期74卷 6195-6212页

作者： T.Gopalakrishnan Mohamed Yacin Sikkandar Raed Abdullah Alharbi P.Selvaraj Zahraa H.Kareem Ahmed Alkhayyat Ali Hashim Abbas Department of Information Technology Manipal Institute of Technology BengaluruManipal Academy of Higher EducationManipalIndia Department of Medical Equipment Technology College of Applied Medical SciencesMajmaah UniversityAl Majmaah11952Saudi Arabia Public Health Department College of Applied Medical SciencesMajmaah UniversityAl Majmaah11952Saudi Arabia Department of Computing Technologies College of Engineering and TechnologyFaculty of Engineering and TechnologySRM Institute of Science and TechnologyKattankulathur603203TamilnaduIndia Medical Instrumentation Techniques Engineering Department Al-Mustaqbal University CollegeBabylonIraq College of Technical Engineering The Islamic UniversityNajafIraq College of Information Technology Imam Ja’afar Al-Sadiq UniversityAl-Muthanna66002Iraq

The Coronavirus Disease(COVID-19)pandemic has exposed the vulnerabilities of medical services across the globe,especially in underdeveloped *** the aftermath of the COVID-19 outbreak,a strong demand exists for developing novel computer-assisted diagnostic tools to execute rapid and cost-effective screenings in locations where many screenings cannot be executed using conventional *** imaging has become a crucial component in the disease diagnosis process,whereas X-rays and Computed Tomography(CT)scan imaging are employed in a deep network to diagnose the *** general,four steps are followed in image-based diagnostics and disease classification processes by making use of the neural networks,such as network training,feature extraction,model performance testing and optimal feature *** current research article devises a Chaotic Flower Pollination Algorithm with a Deep Learning-Driven Fusion(CFPADLDF)approach for detecting and classifying *** presented CFPA-DLDF model is developed by integrating two DL models to recognize COVID-19 in medical ***,the proposed CFPA-DLDF technique employs the Gabor Filtering(GF)approach to pre-process the input *** addition,a weighted voting-based ensemble model is employed for feature extraction,in which both VGG-19 and the MixNet models are ***,the CFPA with Recurrent Neural Network(RNN)model is utilized for classification,showing the work’s novelty.A comparative analysis was conducted to demonstrate the enhanced performance of the proposed CFPADLDF model,and the results established the supremacy of the proposed CFPA-DLDF model over recent approaches.

关键词： Deep learning medical imaging fusion model chaotic models ensemble model COVID-19 detection

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A Two-Party Combined Cryptographic Scheme and Its Application

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电子学报(英文版) 2012年第4期21卷 687-691页

作者： WANG Shengbao XIE Qi TANG Qiang ZENG Peng CHEN Wei School of Information Science and Engineering Hangzhou Normal University Hangzhou 310012 China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing 100876 China New Star Institute of Applied Technology Hefei 230031 China Faculty of EWI University of Twente the Netherlands Shanghai Key Laboratory of Trustworthy Computing East China Normal University Shanghai 200062 China

In this paper, we extend Haber and Pinkas’ notion of combined (cryptographic) scheme to the two- party setting, which is shown to be a useful tool in some real-world application which we name the "2-boss prob- lem". In a two-party combined scheme, a single public key associated with two independent private keys and one es- crow decryption key is provided. Any ciphertext encrypted under the public key can be simultaneously decrypted by the three keys. Meanwhile, the two private keys can also be used as signing keys to achieve non-repudiation service. We provide formal security definitions for two-party com- bined schemes, and present a simple and efficient scheme. Our construction is derived from bilinear pairings, and the security is based on the Bilinear Diffie-Hellman (BDH) as- sumption.

关键词：加密方案应用程序公共密钥双线性对组合方案不可抵赖解密安全 Combined scheme, Public key encryption, Digital signature, Bilinear pairings Provable security.

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Amazon in business to customers and overcoming obstacles 2

Amazon in business to customers and overcoming obstacles

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2nd International Conference on Smart computing and Electronic Enterprise, ICSCEE 2021

作者： Altrad, Abdullah Pathmanathan, P. Ravindran Al Moaiad, Yazeed Endara, Yousef Mohamed Aseh, Khairi El-Ebiary, Yousef A. Baker Farea, Mazen Mohammed Latiff, Nurul Adilah Abdul Saany, Syarilla Iryani Ahmad Faculty of Computer and Info. Tech. Al Madinah International University Malaysia International Institute of Applied Science Swiss School of Management Netherlands Faculty of Computer and Information Technology Malaysia Misurata University Libya UniSZA Faculty of Informatics and Computing Malaysia Al-Madinah International University Faculty of Finance and Admin. Sciences Malaysia Universiti Malaysia Terengganu Faculty of Ocean Engineering Technology and Informatics Malaysia

ISBN: (纸本)9781665432221

Electronic commerce, or people call it e-commerce, it refers to buying and selling products or services on the Internet and transferring money and data to carry out these transactions. More consumers are shifting from traditional transactions to e-commerce, as e-commerce becomes faster and cheaper. In contrast, electronic commerce provides more ease and variety in the composition of goods and services worldwide. E-commerce is the type of electronic business that has been in business for more than 25 years and is used by many users around the world. This research aims to shed light on the nature of electronic commerce and the difficulties it faces on the technical side. This research used descriptive methodology after gathering data from online and indexed research. The research also mentioned five of these obstacles, and how the Amazon overcomes them, and we will take a look at how the opportunities of the Amazon grow so that they have an effect called the Amazon effect, the research reached an important conclusion that eDesk is the leading help desk for online sellers, specifically designed to meet the exact requirements of e-commerce. The research also found solutions to some of the weaknesses faced by electronic commerce platforms. © 2021 IEEE.

关键词： Electronic commerce

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Determinants of customer purchase intention using Zalora mobile commerce application 2

Determinants of customer purchase intention using Zalora mob...

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2nd International Conference on Smart computing and Electronic Enterprise, ICSCEE 2021

作者： El-Ebiary, Yousef A. Baker Pathmanathan, P. Ravindran Tarshany, Yasser Mohamed Abdelrahman Jusoh, Julaily Aida Aseh, Khairi Al Moaiad, Yazeed Al-Kofahi, Mahmoud Pande, Bishwajeet Bamansoor, Samer UniSZA Faculty of Informatics and Computing Malaysia International Institute of Applied Science Swiss School of Management Netherlands MEDIU Faculty of Islamic Sciences Department of Fiqh and Usul Fiqh Malaysia MEDIU Faculty of Computer and Information Technology Malaysia Irbid National University Faculty of Administrative and Financial Sciences Irbid Jordan Gyancity Research Consultancy Pvt Ltd Motihari India Faculty of Computer and Information Technology MEDIU Malaysia

ISBN: (纸本)9781665432221

In the era of modern technologies and with the development of marketing, nowadays the customer can save time buying things without having to visit the store. They just need to shop online, find what they are buying and pay it with just a few simple clicks. With this convenience in mind, the indulgence of people buying online has risen quite well. The customer's decision to purchase a product through Internet commerce under the concept of electronic commerce - which has been developed into e-commerce or mobile commerce - usually takes a serious action with perceived confidence in the services and their suitability. Therefore, customer behaviour is an important factor to facilitate online electronic service. Hence, it is important to understand customer perceptions on these services and their intention of using it. Zalora is one of the fastest online search platforms providing kind of world-famous brands in Malaysia. The objective of this study is to examine factors that influence Malaysian consumers' purchase intention through Zalora mobile application. Based on the theory of planned behaviour along with other factors, the study proposes a theoretical model for the empirical examination of the customer intention for purchasing via Zalora mobile application. Data were collected from sixteen respondents to test the relationship between variables. Data analysis was carried out using PLS-SEM. The empirical results indicated that perceived friendliness, perceived convenience, and perceived influence have a significant impact on purchase intention. The result may be preserved by providing an easy shopping experience to the user when using commerce sites and building trust to maintain the intent to buy. In addition, this analysis is helpful for Zalora marketers to suggest the most effective promotion methods in reference to further marketing of their products. © 2021 IEEE.

关键词： Mobile commerce

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