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Review ArticleOpen accessIn the abstractHybrid Machine Learning Framework with Data Analytics Model for Privacy-Preserved Intelligent Predictive Maintenance in Healthcare IoTArun Ganji, D. Usha, P.S. RajakumarFederated Learning (FL) is a cutting-edge approach for developing machine learning (ML) models using distributed datasets while preserving data privacy and ownership. FL is particularly suited for Internet of Things (IoT) networks due to its decentralized nature, which supports In-Edge AI and maintains data locality. However, FL's complexity poses challenges in analyzing system health, making it crucial to develop robust … …Journal of Computer Science, Vol. 21, Issue 1 · 30 Nov 2024 · 5,830 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 abstractGenetic Diversity Analysis of the Gohilwari Breed of Indian Goat (Capra hircus) Using Microsatellite MarkersSubodh Kumar, S. P. Dixit, N. K. Verma et al.Problem statement: Gohilwari breed of goat is a multipurpose goat mainly for milk and meat purposes and best suited in its harsh climatic condition. This breed is inadequately characterized till now at DNA level. So the present study was undertaken for population genetic analysis at molecular level to exploit the breed for planning sustainable improvement, conservation and utilization, which subsequently … …American Journal of Animal and Veterinary Sciences, Vol. 4, Issue 3 · 30 Sep 2009 · 8,927 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting Peak Load Electricity Demand Using Statistics and Rule Based ApproachZ. Ismail, A. Yahya, K. A. MahpolProblem statement: Forecasting of electricity load demand is an essential activity and an important function in power system planning and development. It is a prerequisite to power system expansion planning as the world of electricity is dominated by substantial lead times between decision making and its implementation. The importance of demand forecasting needs to be emphasized at all level as … …American Journal of Applied Sciences, Vol. 6, Issue 8 · 31 Aug 2009 · 7,943 accessesView PDFCite
Research ArticleOpen accessIn the abstractOutcomes of Human Resource Development InterventionsAbdullah HaslindaProblem statement: In Malaysia, Human Resource Development (HRD) plays an important role in the economic development of the country. Despite government policies encouraging the implementation of HRD activities, as well as the substantial infrastructural and financial support provided, the benefits or outcomes of the HRD activities being implemented and provided to employees have not been examined. The aim of this … …Journal of Social Sciences, Vol. 5, Issue 1 · 31 Mar 2009 · 8,798 accessesView PDFCite
Research ArticleOpen accessIn the abstractBacteria Contaminants and their Antibiotic Sensitivity from Selected Herbal Medicinal Products from Eldoret and Mombasa, KenyaLucia Keter, Richard Too, Nicholas Mwikwabe et al.Herbal products are used worldwide for the treatment and prevention of various diseases and currently represent a substantial proportion of the global drug market. However, these products have the potential of being contaminated by different microorganisms due to poor hygienic practices during handling, processing and packaging. The main aim of this study was to evaluate microbial quality of herbal products … …Current Research in Microbiology, Vol. 7, Issue 1 · 28 Jan 2016 · 17,166 accessesView PDFCite
Research ArticleOpen accessIn the abstractFUZZY SHRINK IMAGE DENOISING USING SMOOTHING SPLINE ESTIMATIONG.M. Rajathi, R. Rangarajan, R. Haripriya, R. NithyaThe image data is normally corrupted by additive noise during acquisition. This reduces the accuracy and reliability of any automatic analysis. For this reason, denoising methods are often applied to restore the original image. In proposed method a wavelet shrinkage algorithm based on fuzzy logic and the DT-DWT scheme is used. In particular, intra-scale dependency within wavelet coefficients is modeled … …Journal of Computer Science, Vol. 10, Issue 10 · 9 Jul 2014 · 6,687 accessesView PDFCite
Research ArticleOpen accessIn the abstractPilot Investigation on the Mismatches of Classroom Furniture and Student Body Dimensions in Malaysian Secondary SchoolsRaja Ariffin Raja Ghazilla, Zahari Taha, Suraya Kamaruddin, Iskandar HasanuddinProblem statement: This study is an investigation of the mismatch between chair and desk dimensions and student body dimensions. Approach: The objective of this study was to determine whether design improvement and further study is required in order to improve the conditions in Malaysian primary schools. Results: The supplied standard government issued classroom furniture was measured and anthropometrics measurements data … …Journal of Social Sciences, Vol. 6, Issue 2 · 30 Jun 2010 · 8,387 accessesView PDFCite
Research ArticleOpen accessIn the abstractModeling Heterogeneity in Phase II Clinical TrialsChristopher N. Barnes, Shesh N. RaiProblem statement: The common assumption in non-randomized Phase II clinical trials is a homogeneous population with homogeneous response. This assumption is at odds with many trials today; a heterogeneous response due to the existence of subgroups. Approach: In order to examine the effects of heterogeneity on the trial outcome, a systematic platform is developed to quantify the range and classes … …Current Research in Biostatistics, Vol. 1, Issue 1 · 30 Jun 2010 · 10,131 accessesView PDFCite
Research ArticleOpen accessIn the abstractRobust Estimations as a Remedy for Multicollinearity Caused by Multiple High Leverage PointsArezoo Bagheri, Habshah MidiProblem statement: The Least Squares (LS) method has been the most popular technique for estimating the parameters of a model due to its optimal properties and ease of computation. LS estimated regression may be seriously disturbed by multicollinearity which is a near linear dependency between two or more explanatory variables in the regression models. Even though LS estimates are unbiased … …Journal of Mathematics and Statistics, Vol. 5, Issue 4 · 31 Dec 2009 · 8,251 accessesView PDFCite