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Research ArticleOpen accessIn the abstractDehazing Mechanism Using Auto-Encoder with Intensity Attention SystemRajat Tiwari, Bhawna Goyal, Ayush DograIn the modern world, images play a significant medium for communication. Primarily, it is easily transferred and disseminated across various platforms which allows the people to express their ideology and perceptions. Conversely, images can be prone the environmental conditions as the image quality can be affected by the weather circumstances. Particularly, haze images minimize the whole clarity and visibility of … …Journal of Computer Science, Vol. 20, Issue 12 · 25 Nov 2024 · 4,513 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing IoT RPL Protocol Security Against Black Hole Attacks with Deep Learning TechniquesKrari Ayoub, Hajami Abdelmajid, Toubi Ayoub, Mihi SoukainaAs the Internet of Things (IoT) extends its reach into critical infrastructures, it encounters escalating security threats, particularly black hole attacks that jeopardize network communication. The growing use of IoT in essential services underscores the need for robust network integrity. Driven by this urgency, our research has developed a sophisticated detection framework that effectively identifies black hole attacks within IoT … …Journal of Computer Science, Vol. 20, Issue 11 · 18 Oct 2024 · 5,000 accessesView PDFCite
Research ArticleOpen accessIn the abstractDefect Classification of Reinforced Concrete Structures with Nondestructive Tests Using Statistical and Machine Learning MethodsSajjad Sayyar-Roudsari, Armaghan Shalbaftabar, Farshid Damirchilo et al.In this study, twelve reinforced concrete beams were constructed, each with specified dimensions and initial compressive strength. The beams were divided into four groups: A control group without any defect, a void group featuring a centrally located void, a corrosion group and a debonding group. The impact echo test was used for nondestructive testing, gathering data on compressive and shear … …American Journal of Engineering and Applied Sciences, Vol. 17, Issue 3 · 11 Jun 2024 · 5,258 accessesView PDFCite
Research ArticleOpen accessIn the abstractA 2-Tier Stacking Ensemble Classifier for Disease ClassificationK. Sukanya Varshini, R. Annie UthraDiarrhea, dysentery, and dehydration are top of the list of high mortality-causing diseases in children under the age group of five. Despite the tremendous growth of machine learning in the field of medical research, still, some areas remain untouched, especially, the pediatric department. Since medical data is used in the proposed work, even a slight increase in the accuracy of … …Journal of Computer Science, Vol. 19, Issue 7 · 7 Jun 2023 · 5,785 accessesView PDFCite
Research ArticleOpen accessIn the abstractSCUTMA: Selecting Components for Unit Testing in Mobile ApplicationsJosias Gomes, Isabel K. Villanes, Silvia M. Ascate et al.Context The source code of a mobile application has several components (i.e., code units) and they have a cost (e.g., test creation and execution) and benefit (e.g., find bug) value for performing unit testing. Problem Choosing in which components unit tests should be done, in order to increase the benefit (effectiveness) and decrease the cost of this activity. Proposal This … …Journal of Computer Science, Vol. 16, Issue 10 · 15 Oct 2020 · 7,015 accessesView PDFCite
Research ArticleOpen accessIn the abstractA VF-IMF Cohesion Metric for Object-Oriented ClassesJoy Christy Antony Sami, Umamakeswari ArumugamCohesion in Object Oriented (OO) modules impact reusability, efficiency and complexity of software. OO Programmers are mandated to create software with high cohesion. The testing phase in Software Development Life Cycle (SDLC) is not only concerned about creating error free software but also assess quality of code through software metrics. The metric‘Lack of Cohesion in Methods (LCOM)’ is one of … …Journal of Computer Science, Vol. 16, Issue 4 · 10 Apr 2020 · 8,246 accessesView PDFCite
Research ArticleOpen accessIn the abstractModel-Driven Framework for Evaluating Learning Outcomes ProcessMohammad Alhaj, Ashraf SharahEvaluating learning outcomes in academic institution can be complex and challenging. Several quantitative and qualitative assessment approaches have been adopted to enhance the process of managing, measuring and visualizing the learning outcomes. The difficulty of implementing and analyzing the evaluation process is mainly caused by the nature of the raw data used in assessment. The data is usually unstructured, complex, … …Journal of Computer Science, Vol. 16, Issue 7 · 23 Jul 2020 · 6,873 accessesView PDFCite
Research ArticleOpen accessIn the abstractQuality Measurements on the Radio Interface of the Mobile Communication in the Proximity of the Power SystemSaid Ghnimi, Adnen Rajhi, Ali Gharsallah, Fakhreddine KhlifaProblem statement: The electric power lines and its associated equipments generally produce an electromagnetic noise in their environment, which are likely to have dangerous effects on propagation environment to the Global System for Mobile communication (GSM) cellular mobile network. Approach: In this study, we analyzed the characteristics of the power line noise and its correlation with the GSM burst; showing … …American Journal of Applied Sciences, Vol. 8, Issue 5 · 26 Mar 2015 · 7,000 accessesView PDFCite
Technical ReportOpen accessIn the abstractAnalysis of Low Probability of Intercept Radar Signals Using the Reassignment MethodDaniel L. Stevens, Stephanie A. SchuckersDigital intercept receivers are currently moving towards classical time-frequency analysis techniques for analyzing low probability of intercept radar signals. Although these techniques are an improvement over existing Fourier-based techniques, they still suffer from a lack of readability, due to poor time-frequency localization and cross-term interference, which may lead to inaccurate detection and parameter extraction. In this study, the reassignment method, … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 1 · 25 Mar 2015 · 7,210 accessesView PDFCite
Research ArticleOpen accessIn the abstractTHROUGHPUT AND BIT ERROR RATE ANALYSIS OF LUBY TRANSFORM CODES WITH LOW AND MEDIUM NODAL DEGREE DISTRIBUTIONSI. Joe Louis Paul, S. Radha, J. RajaThis study presents two degree distributions namely low and medium nodal degree distributions aiming to build a low overhead Luby Transform (LT) codes. The motivation is to design a fast encoder/decoder especially for real-time multimedia streaming and multicasting applications using LT codes. The key idea of this study is to restrict the average degree of the transmitted encoded symbols as … …American Journal of Applied Sciences, Vol. 11, Issue 9 · 12 Aug 2014 · 6,614 accessesView PDFCite