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65 results for “Frameworks”

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Literature ReviewOpen accessIn the abstractMachine Learning Software Architecture and Model Workflow. A Case of Django REST FrameworkKennedy Ochilo Hadullo, Daniel Makini GetunoThe purpose of this study was to find out the challenges facing Machine Learning (ML) software development and create a design architecture and a workflow for successful deployment. Despite the promise in ML technology, more than 80% of ML software projects never make it to production. As a result, majority of companies around the world with investments in ML software … …American Journal of Applied Sciences, Vol. 18, Issue 1 · 28 Jul 2021 · 8,608 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Systematic Literature Review of Software Defect Prediction Using Deep LearningAhmed Bahaa, Enas Mohamed Fathy, Ahmed Sharaf Eldin et al.The approaches associated with software defect prediction are used to reduce the time and cost of discovering software defects in source code and to improve the software quality in the organizations. There are two approaches to reveal the software defects in the source code. The first approach is concentrated on the traditional features such as lines of code, code complexity, … …Journal of Computer Science, Vol. 17, Issue 5 · 22 May 2021 · 10,967 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdvanced Persistent Threats (APT)-Attribution-MICTIC Framework ExtensionPedro Ramos BrandaoAnalysis of one of the fundamental parts of the Advanced Persistent Threats (APT) Attacks. The phases of the APTs, their framing with the identification of criminals. Type of attack that normally requires resources only available to the State-State hacking. The importance of Attribution in the analysis of APTS. The unique and differentiating characteristics of this type of attacks compared to … …Journal of Computer Science, Vol. 17, Issue 5 · 19 May 2021 · 8,453 accessesView PDFCite
Literature ReviewOpen accessIn the abstractA Systematic Mapping Study of Cross-Platform Mobile AppsTasnim Zohud, Samer ZeinCross-platform frameworks for mobile Application (app) development allow developers to deploy solutions on a range of platforms such as iOS and Android. With the increased use of such frameworks, it is of utmost importance to understand the contributions and challenges in this emergent field. Although there have been many studies in this area of research, there is a lack of … …Journal of Computer Science, Vol. 15, Issue 4 · 24 Apr 2019 · 8,924 accessesView PDFCite
Research ArticleOpen accessIn the abstractTowards a Frame of Reference for Smart City Strategy Development and GovernanceZineb Korachi, Bouchaib BounabatDespite the importance of the smart city concept, few works address how to define and implement smart cities in a clear manner. Furthermore, the smart city literature provides heterogeneous studies and solutions; this heterogeneity creates misunderstanding regarding the smart city definition and strategy. Moreover, stakeholders have multiple and conflicting interests and concerns, which also increase the ambiguity regarding the smart … …Journal of Computer Science, Vol. 16, Issue 10 · 28 Oct 2020 · 7,209 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Conceptual Model for the E-Commerce Application Recommendation Framework using Exploratory SearchMohammed Mahmudur Rahman, Zulkifly Mohd Zaki, Najwa Hayaati Binti Mohd Alwi, Md. Monirul IslamThe users helped by the search engine for online transactions in e-commerce; nonetheless, there is still a lack of search interest from the user and online shopping intentions. To boost the user's search for product recommendations, use a search engine for the quest but not for purchasing purposes. Existing frameworks have some significant problems in the recommendation technology, such as … …Journal of Computer Science, Vol. 16, Issue 8 · 28 Aug 2020 · 7,160 accessesView PDFCite
Research ArticleOpen accessIn the abstractGeneral Approach for Formulating a Digital Transformation StrategyZineb Korachi, Bouchaib BounabatTo take advantage of information technologies, organizations need to define a clear strategy. Numerous works have provided definitions and phases of digital strategies. Some of these strategies are context-specific, while others deal with the common elements of digital strategies regardless of the digital transformation context. However, these works do not address a holistic approach. This raises ambiguity regarding digital strategy … …Journal of Computer Science, Vol. 16, Issue 4 · 27 Apr 2020 · 10,874 accessesView PDFCite
Research ArticleOpen accessIn the abstractStudy and Analysis of Prediction Model for Heart Disease Data Using Machine Learning TechniquesB. Santhi, K. RenukaHeart disease is the number one cause of death for all communities of individuals in advanced countries and a major problem for emerging nations too. Doctors’ availability to care for the general population could not catch up with the present demand for healthcare. So, there is a severe need for a support system to assist save individuals. With novel ML … …Journal of Computer Science, Vol. 16, Issue 3 · 26 Mar 2020 · 7,784 accessesView PDFCite
Review ArticleOpen accessIn the abstractService Delivery Innovation in Health Care for Patient Satisfaction at Primary and Secondary LevelHarpreet Kaur Grang, Moshiur Bhuiyan, P.W.C. Prasad et al.The purpose of this research is to identify and address the service delivery issues faced by patients in hospitals including emergency departments. It illustrates the available solutions and determines the one that best fits the solution among service delivery methods in hospitals to provide quick and quality care with better efficiency. There are various software tools that are used to … …American Journal of Applied Sciences, Vol. 16, Issue 2 · 7 Mar 2019 · 7,666 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Evaluation of Apache Spark Vs MPI: A Practical Case Study on Twitter Sentiment AnalysisDeepa S Kumar, M Abdul RahmanThe advent of various processing frameworks which happens under big data technologies is due to tremendous dataset size and its complexity. The speed of execution was much higher with High Performance computing frameworks rather than big data processing frameworks. As majority of the jobs under big data are mostly data intensive rather than computation intensive, the High Performance Computing paradigms … …Journal of Computer Science, Vol. 13, Issue 12 · 23 Dec 2017 · 8,070 accessesView PDFCite