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98 articles for “low data rate”
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Research ArticleOpen accessIn the abstractDoes Monetary Policy Stimulates Macroeconomic Performance during Economic Downturn in Nigeria?Bashir Adelowo Wahab, Sam-Siso Ebasi OkrinyaThis study investigated the relationship between monetary policy and macroeconomic performance in Nigeria during 1981-2018. The stochastic properties of the time series data were examined using both conventional and unit root tests with structural breaks to account for shift dummy in the series. Their results indicates that the series are combination of both I(0) and I(1) in the same specification … …Journal of Social Sciences, Vol. 16, Issue 1 · 11 Feb 2020 · 8,269 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessment of Poultry Production System in Rwanda, A Case Study in Nyagatare DistrictMazimpaka Eugene, Mahoro Janvier, E.N. Tuyisenge, Ojok LonzyA cross sectional study was conducted on 160 indigenous poultry farmers in Nyagatare District to assess the effect of poultry cages on increasing poultry production in smallholder low cost village poultry farmers in Nyagatare district. Data were collected through pre-tested semi-structured questionnaires, participatory rural appraisal, observations and interviews. Most of farmers kept the dwarf type of local chicken (53.5%), night … …American Journal of Animal and Veterinary Sciences, Vol. 15, Issue 1 · 9 Jan 2020 · 7,742 accessesView PDFCite
Research ArticleOpen accessIn the abstractEcological Situation of Poplar Species in the Aral Sea Region of KazakhstanBaikenzheyeva Ainur, Kurmanbayev Rakhat, Toktaganova Gulzhas et al.The study was conducted in response to the deteriorating environmental conditions in the Aral Sea region of Kazakhstan, characterized by the degradation of natural ecosystems, loss of biodiversity, and the disappearance of valuable tree species. Of particular importance is the investigation of the current status of populations of Populus pruinosa Schrenk and Populus diversifolia Schrenk, relic tree species of the … …OnLine Journal of Biological Sciences, Vol. 26, Issue 4 · 30 Sep 2026 · 574 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Collaborative Prediction of Presence of Arrhythmia in Human Heart with Electrocardiogram Data using Machine Learning Algorithms with AnalyticsSelvaraj Rajalakshmi, Kuthadi Venu MadhavHuman heart is the major organ of human being which could fail the other systems in the body at the same time. Hence predicting heart disease is one of the challenging researches that requires meticulous analysis of heart rhythms properly. The irregular heart rhythms or beat is referred to as the Arrhythmia where heart rhythms with low or high rates … …Journal of Computer Science, Vol. 15, Issue 2 · 22 Feb 2019 · 7,508 accessesView PDFCite
Review ArticleOpen accessIn the abstractVisualization of Data Mining Techniques for the Prediction of Breast Cancer with High Accuracy RatesVasudev Sharma, Raj Kumar Rajasekaran, Shreya BadhrinarayananBreast cancer is one of the leading causes of death in women worldwide. Around one in 30 women are affected by breast cancer. Mammography has helped in detecting breast cancer in the early stages which have reduced mortality. The diagnosis of breast cancer is dependent on a variety of parameters. In this paper, we aim to create the best model … …Journal of Computer Science, Vol. 15, Issue 1 · 21 Jan 2019 · 8,948 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting the Remaining Lifetime of Distribution Transformers using Machine LearningNtiminity Abontakoyah Enoch, Puguo Gbene George, Justice AningDistribution Transformer is a crucial element in deciding the power flow in large power systems. Their better performance implies high power system efficiency and enhanced power transfer capability. However, various Distribution Transformer failures in the recent past lead to power supply disturbance and have acquired much attention from the electrical intellectuals. It is of considerable significance to accurately get the … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 4 · 1 Jan 2021 · 6,644 accessesView PDFCite
Research ArticleOpen accessIn the abstractEstrous Synchronization Protocols in South African Merino EwesNhlakanipho Sam Zulu, Fhulufhelo Vincent Ramukhithi, Khoboso Christine LehloenyaThe South African Merino breed is the most important sheep breed in South Africa due to its superior wool quality. With an increasing wool demand from China and Europe, the need for wool production in South Africa has risen significantly. To meet this high demand, it is crucial to enhance the reproduction rate of the Merino sheep using assisted reproduction … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 1 · 29 Jan 2025 · 7,007 accessesView PDFCite
EditorialOpen accessIn the abstractAssociation between Infective Endocarditis and Premalignant Colorectal LesionsCarles FalcesThe association between Infective Endocarditis (IE) and Colorectal Cancer (CRC) has been known for more than 50 years. The microorganisms in which this association has been described are Streptococcus gallolyticus (formerly Streptococcus bovis) (Corredoira-Sánchez et al., 2012; Boleij et al., 2011), in different subspecies and, more recently, Enterococcus faecalis (Pericàs et al., 2016; 2017; Escolà-Vergé et al., 2020; Pericàs et … …American Journal of Infectious Diseases, Vol. 17, Issue 3 · 10 Jun 2021 · 11,559 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized Fractal Fusion Driven Deep Neural Network: An Efficient Hybrid Methodology for Disease Detection and Classification in Plant LeavesDeepkiran Munjal, Mrinal Pandey, Laxman SinghPlant diseases and pest attacks are among the major issues in agriculture, which have a great impact on crop growth and yield. Early and correct detection of these diseases is vital for effective management and keeping plant health at the desired level. This research proposes a new method for detection and classification of plant diseases, the Optimized Fractional Fusion Deep … …Journal of Computer Science, Vol. 21, Issue 12 · 8 Jan 2026 · 2,223 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison Between Selective Sampling and Random Undersampling for Classification of Customer Defection Using Support Vector MachineHeri Kuswanto, Yogi Sarumaha, Hayato OhwadaQuality of a product determines the customer loyalty and it can be measured by conducting a survey. Company ‘X’ that sells three kinds of product (low, medium and high price) collected very large dataset through an online survey and recorded customer defection and their characteristic. The measured variables are Update Accumulation, Product Price, Customer Type, Delivery Status and Customer Defection. … …Journal of Computer Science, Vol. 13, Issue 8 · 16 Aug 2017 · 7,263 accessesView PDFCite