76 results for “threshold value”

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Research ArticleOpen accessIn the keywordsAutomatic Boundary Detection of Wall Motion in Two-dimensional Echocardiography ImagesFaten Abed Ali Dawood, Rahmita Wirza Rahmat, Mohd Zamrin Dimon et al.Problem statement: Medical image analysis is a particularly difficult problem because the inherent characteristics of these images, including low contrast, speckle noise, signal dropouts and complex anatomical structures. An accurate analysis of wall motion in Two-dimensional echocardiography images is “important clinical diagnosis parameter for many cardiovascular diseases”. A challenge most researchers faced is how to speed up the clinical decisions … …Journal of Computer Science, Vol. 7, Issue 8 · 15 Jul 2011 · 8,188 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsEdge Detection in Gray Level Images based on the Shannon EntropyBaljit Singh, Amar P. SinghMost of the classical mathematical methods for edge detection based on the derivative of the pixels of the original image are Gradient operators, Laplacian and Laplacian of Gaussian operators. Gradient based edge detection methods, such as Roberts, Sobel and Prewitts, have used two 2-D linear filters to process vertical edges and horizontal edges separately to approximate first-order derivative of pixel … …Journal of Computer Science, Vol. 4, Issue 3 · 31 Mar 2008 · 7,882 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsExistence and Uniqueness Conditions for the Maximum Likelihood Solution In Regression Models For Correlated Bernoulli Random VariablesDavid Todem, KyungMann KimWe give sufficient and necessary conditions for the existence of the maximum likelihood estimate in a class of multivariate regression models for correlated Bernoulli random variables. The models use the concept of threshold crossing technique of an underlying multivariate latent variable with univariate components formulated as a linear regression model. However, in place of their Gaussian assumptions, any specified distribution … …Journal of Mathematics and Statistics, Vol. 3, Issue 3 · 30 Sep 2007 · 6,838 accessesView PDF Cite

Research ArticleOpen accessIn the abstractForecasting Corporate Financial Distress Using Explainable Machine Learning: Implications for Risk Management TechnologyKanjana Hinthaw, Warawut NarkbunnumFinancial distress prediction is a critical task in financial risk management, yet it remains challenging due to class imbalance, complex financial structures, and limited model interpretability. This study develops an integrated machine learning framework that combines feature selection, class imbalance handling, threshold optimization, and Explainable Artificial Intelligence (XAI) to improve both predictive performance and decision-making reliability. Using a dataset of … …Journal of Computer Science, Vol. 22, Issue 7 · 22 Jul 2026 · 1,130 accessesView PDF Cite

Research ArticleOpen accessIn the abstractSynergistic Effects of Wheat Bran and Inoculants on Fermentation and Nutritional Quality of Soybean Straw SilageLie Yang, Rundong Qin, Jiahuan Liu et al.The efficient valorisation of lignocellulosic biomass from soybean straw into high-quality silage remains a pressing challenge for sustainable livestock production. This study employed a 3×3 factorial design to systematically investigate the interactive effects between wheat bran additions (0%, 10%, 20% of fresh weight) and microbial inoculant regimes (control, Effective Microorganisms, EM+Trichoderma longibrachiatum) on soybean straw silage quality. Two-way ANOVA revealed … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 1 Jul 2026 · 1,109 accessesView PDF Cite

Research ArticleOpen accessIn the abstractMarket Analysis and Evaluation of the Nutritional Quality of Fodder Grown in Urban and Peri-Urban Areas of Niamey, NigerSalou Issaka Seybou, Fernàndez Rebollo Pilar, José Ramon Leal Murillo et al.The development of domestic ruminant livestock farming is hampered by the lack of forage, which is largely dependent on natural pastures and crop residues. In the outskirts of major cities, access to grazing land is becoming increasingly restricted. To meet the growing demand for fodder, feed markets are emerging in urban centers. The main aim of this one-year, three-season study … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 3 · 7 Nov 2025 · 2,135 accessesView PDF Cite

Case ReportOpen accessIn the abstractUtilization of a Pressure Cooker for Homemade High-Temperature Sterilization of RendangDaimon Syukri, Rini, Risa Meutia Fiana et al.This study aimed to analyze the impact of pressure cooker (presto) sterilization on the nutritional value and microbial content of rendang, a traditional Indonesian meat dish. The evaluated parameters included moisture content, ash content, fat content, protein content, and total plate count (TPC), measured before and after a 40-minute sterilization process. The results showed a moderate increase in moisture (from … …OnLine Journal of Biological Sciences, Vol. 25, Issue 2 · 28 Jun 2025 · 3,264 accessesView PDF Cite

Research ArticleOpen accessIn the abstractBioremediation Potential of Heavy Metal-Resistant Bacteria in Koto Panjang Reservoir, Riau, IndonesiaIrda Sayuti, Darmadi, Adrian Hartanto et al.Koto Panjang Reservoir serves as a vital water resource supporting the social well-being of the local community in the Riau Province. The flow of the Kampar River, acting as the riverine zone and water inlet to the reservoir, provides environmental support for the construction of hydroelectric power plants (PLTA) and the aquaculture practice of Floating Net Cages (FNC). Over the … …OnLine Journal of Biological Sciences, Vol. 25, Issue 1 · 10 Feb 2025 · 4,534 accessesView PDF Cite

Review ArticleOpen accessIn the abstractOptimization of Red Sorghum (Sorghum bicolor (L.) Moench) Malt Mashing Using Response Surface MethodologyArthur Kapepa Amisi et al.The Response Surface Methodology (RSM) was used to optimize the Released Glucose Equivalent during red sorghum malt mashing. Three parameters were tested: the β-amylase (EC 3.2.1.2) temperature level (min value = 62°C and max value = 63°C, TB), the α-amylase (EC 3.2.1.1) temperature level (min value = 72.5 and max value = 77.5°C, TA) and the duration of each stage … …American Journal of Applied Sciences, Vol. 21, Issue 1 · 28 Nov 2024 · 8,092 accessesView PDF Cite

Research ArticleOpen accessIn the abstractClassification of Thoracic X-Ray Images of COVID-19 Patients Using the Convolutional Neutral Network (CNN) MethodRamacos Fardela, Dian Milvita, Mawanda Almuhayar et al.Recently, radiology modalities have been widely used to detect COVID-19. Thoracic X-rays and CT scans are the primary radiological tools utilized in the diagnosis and treatment of individuals with COVID-19. In addition, chest CT scans are more accurate and sensitive in early COVID-19 identification. A new problem arises in diagnosing the results of CT scan images of COVID-19 by radiologists … …Journal of Computer Science, Vol. 20, Issue 4 · 1 Feb 2024 · 5,753 accessesView PDF Cite