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Research ArticleOpen accessIn the abstractPM2.5 Prediction Using Homogenous and Heterogenous Ensemble Learning: A Comprehensive EvaluationShrabani Medhi, Minakshi GogoiAir pollution is a global issue. PM2.5 is considered to be the most dangerous pollutant. Prediction of PM2.5 concentration is important so that effective measures can be taken beforehand. A multitude of machine learning methodologies have been employed in forecasting PM2.5 levels, utilizing diverse combinations of ensemble classifiers and regressors. However, there are three important issues that need to be … …Journal of Computer Science, Vol. 20, Issue 9 · 20 Jun 2024 · 5,186 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 · 5,264 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrognosis of Dementia Using Early Fusion Approach with Digital Clock Drawing and Trail-Making TestsShridevi Karande, Vrushali KulkarniDementia poses a substantial global public health challenge. Emerging evidence suggests that COVID-19's neurological impact may aggravate dementia incidences. Timely recognition and management can significantly decelerate dementia progression and enhance affected individuals' quality of life. In the realm of cognitive assessment, the Clock Drawing Test (CDT) and Trail-Making Test (TMT) stand as prominent tools. Existing research predominantly focuses on the … …Journal of Computer Science, Vol. 20, Issue 8 · 10 Jun 2024 · 4,730 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Logic-Based Quantification of Usability Expectation for M-Commerce Mobile Application by Using GQM and ISO 9241-11Manish Mishra, Reena DadhichFuzzy logic-based quantification of usability expectation for an m-commerce mobile application is a process of measuring the usability of a mobile application by using fuzzy logic principles. The usability of any mobile application is used to find out the user experience of the mobile application by analyzing the user's expectations and preferences. Fuzzy logic always be the optimal choice for … …Journal of Computer Science, Vol. 20, Issue 1 · 24 Nov 2023 · 6,219 accessesView PDFCite
Research ArticleOpen accessIn the abstractSize, Coupling and Cohesion Metrics for Product-Line Architecture Evaluation: Proposal and Experimental ValidationAndre F.R. Cordeiro, Edson OliveiraJrSoftware Product Line (SPL) is an approach for de facto reusing of software artifacts for a given domain. Amongst the artifacts developed in the context of SPL is the Product-Line Architecture (PLA). It is one of the central artifacts of the SPL core assets responsible for abstracting a common architecture for specific products. Organizations should continuously evaluate the quality of … …Journal of Computer Science, Vol. 14, Issue 3 · 22 Mar 2018 · 8,380 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparative Analysis of Various Approaches for Incorporating Contextual Information into Recommender SystemsQuang-Hung Le, Son-Lam Vu, Anh-Cuong LeRecommender systems are being widely applied in many fields, such as e-commerce, e-documents, places and travel, multimedia, news and advertising and transportation. These systems are similar to an information filtering system that helps to identify a set of items that best satisfy the users’ demands based on their preference profiles. The integration of contextual information (e.g., location, weather conditions and … …Journal of Computer Science, Vol. 18, Issue 3 · 28 Mar 2022 · 6,825 accessesView PDFCite
Research ArticleOpen accessIn the abstractReducing Network Bandwidth Cost on End User Resources Consumption in Cloud EnvironmentBuchanagandi Enock Nyamajeje, Huiqun YuCloud computing has been envisioned as the next generation and attributed to the increasing growth of mobile devices. Rapid increment, increase demands and bandwidth cost of access cloud resources became essential user perceive incur higher cost for utilizing cloud services. Since researchers have proposed new methods, service provider need to collaborate to ensure reasonable level of QoS. In various methods, … …Journal of Computer Science, Vol. 11, Issue 9 · 25 Nov 2015 · 7,109 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 · 7,005 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Discussion of Different Noises and FiltersP.N. Sundararajan, S. Sasi KumarIn digital image processing, noise acquisition and noise removal is required to enhance the quality of an image and during transmission variety of noise that affects the quality of the image. The major intension of filtering or de-noising the image is to reconstruct the detail of master image as much as possible. The metrics of the image noise removal trouble … …American Journal of Applied Sciences, Vol. 11, Issue 12 · 3 Jan 2015 · 5,977 accessesView PDFCite
Research ArticleOpen accessIn the abstractSPECKLE REDUCTION IN ULTRASOUND IMAGES USING NEIGHSHRINK AND BILATERAL FILTERINGR. Vanithamani, G. UmamaheswariSpeckle is a random multiplicative noise which obscures the perception and extraction of fine details in ultrasound images and speckle reduction is necessary to improve the visual quality of ultrasound images for better diagnosis. This study aims at introducing an algorithm by hybridizing bilateral filter with NeighShrink. The bilateral filter is applied before decomposition and after reconstruction of the image … …Journal of Computer Science, Vol. 10, Issue 4 · 19 Dec 2013 · 6,915 accessesView PDFCite