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Research ArticleOpen accessEvery word in the titleImpact of Design Principles and Patterns on Software Flexibility: An Experimental Evaluation Using Flexible Point (FXP)Muhammad Ehsan Rana, Eddy KhonicaSoftware flexibility is a crucial factor in designing and developing software as it reflects its capability to adapt to changes. It is a topic that has been discussed for a very long time which indicates its importance in software development. However, it is not easy to produce a flexible software design. Design principles provide fundamental concepts in designing good software. … …Journal of Computer Science, Vol. 17, Issue 7 · 31 Jul 2021 · 8,481 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleStock price prediction using Generative Adversarial NetworksHungChun Lin, Chen Chen, GaoFeng Huang, Amir JafariDeep learning is an exciting topic. It has been utilized in many areas owing to its strong potential. For example, it has been widely used in the financial area which is vital to the society, such as high-frequency trading, portfolio optimization, fraud detection and risk management. Stock market prediction is one of the most popular and valuable areas in finance. … …Journal of Computer Science, Vol. 17, Issue 3 · 2 Apr 2021 · 17,700 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFinancial Forecasting with Machine Learning: Price Vs ReturnFiruz Kamalov, Ikhlaas Gurrib, Khairan RajabForecasting directional movement of stock price using machine learning tools has attracted a considerable amount of research. Two of the most common input features in a directional forecasting model are stock price and return. The choice between the former and the latter variables is often subjective. In this study, we compare the effectiveness of stock price and return as input … …Journal of Computer Science, Vol. 17, Issue 3 · 18 Mar 2021 · 8,430 accessesView PDFCite
Literature ReviewOpen accessEvery word in the titleNonstandard Analysis for Some Convergence Sequences Theories Via a Transfer PrincipleJwahir-H-GdalThe purpose of this article to introduce nonstandard models for a familiar types of convergent sequences theories through a transfer principle. The nonstandard analysis principle discuss, that any statements on areal system can be extended to a similar structure over larger hyperreal system therefore the results that hold true on the original system, remains true in a hyperreal system if … …American Journal of Applied Sciences, Vol. 18, Issue 1 · 9 Feb 2021 · 7,465 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleThe use of Principal Component Regression and Time Series Analysis to Predict Nitrous Oxide Emissions in GhanaBenjamin Odoi, Lewis Brew, Christopher AttafuahThe disturbing pace of emanation of Nitrous Oxide (N2O) into the atmosphere and its calamitous impact on the environment, as monitored by many governmental agencies and researchers has become a wellspring of worry for many nations and therefore needs due attention. The study deployed nitrous oxide emissions from the three sectors to the total nitrous oxide emissions in Ghana over … …Energy Research Journal, Vol. 12, Issue 1 · 6 Jan 2021 · 8,597 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIntegrated Security Framework for Private Cloud Computing On-PremisePedro Ramos BrandaoDevelopment of a globally integrated framework, intended for implementation in a private on-premise cloud computing framework, structurally based on virtualization technologies, cloud computing, encryption, high availability and redundancy systems, data protection systems, governance, active steering, network monitoring systems, risk analysis and physical infrastructure protection. …Journal of Computer Science, Vol. 16, Issue 12 · 31 Dec 2020 · 7,154 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComputational and Statistical Analysis of Security and Privacy Parameters of Cloud Computing in Information TechnologyJimbo Claver, Edris Hamraz, Takeru Suzuki et al.Information Technology has transformed the way cloud computing itself can help to manage, consume and improve cost efficiencies, accelerate innovation, provide faster time to the market and develop the ability to scale applications on demands and services. In this research work, we present recent developments and some statistical analysis techniques used in cloud computing development with challenges related to the … …Journal of Computer Science, Vol. 16, Issue 11 · 24 Nov 2020 · 7,269 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Experimental Comparison for Compression of PLA Specimens Printed in In-Plane and Out-of-Plane DirectionsSalvatore Brischetto, Roberto TorreThe present work proposes an experimental comparison between the in-plane and out-of-plane compressive behaviors of 3D printed PolyLactic Acid (PLA) specimens. These specimens are produced via the Fused Deposition Modeling (FDM) technique by using two different printing directions: the first printing direction in the xz plane allows experimental compression tests in the out-of-plane direction; the second printing direction in the … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 3 · 25 Sep 2020 · 7,648 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleExplosion of the Science Modification of Newtonian Dynamics Via Mach’s Inertia Principle and Generalization in Gravitational Quantum Bound Systems and Finite Range of the Gravity-Carriers, Consistent Merely On the Bosons and the FermionsMohsen LutephyNewtonian gravity is modified here via Mach's inertia principle (inertia fully governed by universe) and it is generalized to gravitationally quantum bound systems, resulting scale invariant fully relational dynamics (mere ordering upon actual objects), answering to rotation curves and velocity dispersions of the galaxies and clusters (large scale quantum bound systems), successful in all dimensions and scales from particle to … …Physics International, Vol. 11, Issue 1 · 10 Aug 2020 · 7,782 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDefect Detection on 3D Print Products and in Concrete Structures Using Image Processing and Convolution Neural NetworkSelorm Garfo, M.A. Muktadir, Sun YiThis paper explores the automated detection of surface defects on 3-D printed products and concrete structures. They are the main factors to evaluate their quality in addition to dimension and roughness. Traditional detection by human inspectors is far from satisfactory. Manual inspection is time-consuming, error-prone and often leads to loss of resources. For this purpose, image processing and deep learning-based … …Journal of Mechatronics and Robotics, Vol. 4, Issue 1 · 26 May 2020 · 12,608 accessesView PDFCite