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240 results for “analysis of error”
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Research ArticleOpen accessIn the abstractCharacterization of the Sheep Farming System in the Brazilian Semiarid from the Multivariate PerspectiveJanaina Kelli Gomes Arandas, Ângelo Giuseppe Chaves Alves, Olivardo Facó et al.This study aimed to characterize the purebred Morada Nova sheep and crossbred farming systems in Ceará State, Brazil, through multivariate analysis. The study was carried out in the Morada Nova municipality in Ceará. Thirteen representative Morada Nova pure sheep Breeders (MNB) and 48 crossbreds’ breeders of Morada Nova with other breeds (CMN) were interviewed. Was used a questionnaire-based including 12 … …American Journal of Animal and Veterinary Sciences, Vol. 15, Issue 3 · 1 Jul 2020 · 7,403 accessesView PDFCite
Research ArticleOpen accessIn the abstractKalman Filtering for Stocks Price Prediction and ControlJimbo Henri Claver, Mbiazi Dave, Shu Felix CheStocks price analysis has been a critical area of research as the stock market is a very fluctuating market. Stocks price is affected by demand and supply dynamics making it difficult to forecast the price of a stock at a particular instant. The entire idea of predicting stocks price is to gain significant profits but predicting how the stock market … …Journal of Computer Science, Vol. 19, Issue 6 · 20 May 2023 · 6,374 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of Data Mining Classifiers on Sunflower Edible Oil Bleaching Process: A Comprehensive Comparative AnalysisÖmer Nedim Kenger, Eren ÖzceylanSunflower oil is widely used as edible oil. It is commonly extracted by solvent extraction method from the sunflower seed. After extraction, crude sunflower oil is obtained. Crude sunflower oil has some undesirable impurities and dark colors. These impurities and dark colors require removal. The bleaching process is applied to remove the color. The bleaching earth is used in the … …Journal of Computer Science, Vol. 17, Issue 4 · 30 Apr 2021 · 6,947 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Linear and Non-Linear Regression Models for Non-Invasive Blood Glucose MeasurementDorsaf Ghozzi, Yassine Manai, Khaled NouriThis paper deals with a new approach of non-invasive glucose monitoring based on near infrared spectroscopy. The proposed approach is coupled with a regression analysis in order to improve the predictive capacity of the designed device. Basic spectral data is a comparison that has been established between linear and non-linear machine learning regression algorithms. The experimental results show that feed … …Journal of Computer Science, Vol. 15, Issue 11 · 13 Nov 2019 · 7,869 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntegrated Assessment of Water Resource Sustainability in the Upper Amojú River Basin, Northern Peruvian AndesJuan Eduardo Suarez-Rivadeneira, Freddy A. Manayay, Mayra Pamela Musayón Diaz et al.This study presents a comprehensive, statistically robust assessment of water resource sustainability in the upper section of the Amojú River Basin, Province of Jaén northern Peruvian Andes, using the Sarandón multi-cirteria methodology. A stratified convenience sample of n = 887 households distributed across 22 localities was surveyed, achieving a margin of error of ±2.61% at the 95% confidence level (finite-population … …OnLine Journal of Biological Sciences, Vol. 26, Issue 4 · 26 Sep 2026 · 731 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Adaptive Detail Preserving Modified Progressive Pca Thresholding Based Image DenoisingN. Anilkumar, S. Radhakrishnan, Shaik Syed Basha et al.Radiologists use medical imaging tools to assess the anatomy and function of interior organs. However, medical images are frequently distorted by various types of noise generated during the capture, transmission, and reconstruction operations, which can dramatically reduce image quality and hide critical diagnostic features. As a result, developing effective denoising algorithms that suppress noise while maintaining structural information remains a … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Sep 2026 · 536 accessesView PDFCite
Review ArticleOpen accessIn the abstractArtificial Intelligence Techniques and External Factors used in Crime Forecasting in Violence and Property: A ReviewRebaz Mala Nabi, Soran Ab. M. Saeed, Habibollah HaronCrime forecasting is beneficial in providing useful information to authorities in planning effective crime prevention measures. The two types of analysis used in crime forecasting are univariate and multivariate. Comparatively, multivariate analysis provides better forecasting accuracy because of its ability to discover crime patterns not previously seen. Crime is strongly influenced by several external factors, including economic, social and demographic. … …Journal of Computer Science, Vol. 16, Issue 2 · 19 Feb 2020 · 7,922 accessesView PDFCite
Research ArticleOpen accessIn the abstractParameter Optimization of Gradient Tree Boosting Using Dragonfly Algorithm in Crime Forecasting and AnalysisAlif Ridzuan Khairuddin, Nor Azizah Ali, Razana Alwee et al.Crime forecasting and analysis are very important in predicting future crime patterns and beneficial to the authorities in planning effective crime prevention measures. One of the challenges found in crime analysis is the crime data itself as its form, representation and distribution are varied and unpredictable. To handle such data, most researchers have been focusing on applying various Artificial Intelligence … …Journal of Computer Science, Vol. 15, Issue 8 · 7 Aug 2019 · 7,925 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Comprehensive Review of Post-Quantum Cryptography AlgorithmsSamandeep Kaur, Jaswinder SinghThe development of quantum computing has been rapid, and an existential threat to computational hardness assumptions that underlie today's public-key cryptography has been encountered. This manuscript is a complete and thoroughly organized review of Post-Quantum Cryptography (PQC), discussing the mathematical concepts, complexity, and mechanisms of the algorithms that underpin quantum-safe security infrastructures. Rather than the principles of quantum mechanics, the … …Journal of Computer Science, Vol. 22, Issue 9 · 25 Sep 2026 · 730 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimisation of Plant Mineral Nutrition, Growth Stimulation and Yield Enhancement Through the Use of a Bio Formulation Based on Phosphate Solubilising BacteriaZhanar Zhumadilova, Laura Tokhetova, Gulsim Baimbetova et al.The aim of this study was to evaluate the agronomic and fodder efficiency of various fertilisation treatments in relation to their effects on plant growth, chemical composition, and soil properties. The study evaluated the effectiveness of a bio-formulation based on Phosphate-Solubilising Bacteria (PSB) in combination with mineral fertiliser (N60P90 + N30) in enhancing the productivity of forage crops and improving … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 23 Sep 2026 · 392 accessesView PDFCite