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10 results for “Standard Scaling”
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Research ArticleOpen accessIn the keywordsCuckoo Search Optimized Random Forest for Breast Cancer PrognosisPrasad S. Sase, Debabrata Swain, Shailesh KumarBreast cancer remains a major global health concern due to its high mortality rate, particularly when diagnosis occurs at an advanced stage. Accurate and early differentiation between benign and malignant tumors is therefore critical for improving patient outcomes. Conventional diagnostic practices largely depend on manual assessment and clinical expertise, which may lead to subjective variability in decision-making. To overcome this … …Journal of Computer Science, Vol. 22, Issue 1 · 31 Jan 2026 · 2,098 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved Compost Production from Fruit and Vegetable Market Waste: A Case Study in Bagua, Amazonas (Peru)Juan Eduardo Suarez Rivadeneira, Freddy A. Manayay, Wilfredo Ruiz Camacho, Juan Francisco Robles RuizInadequate management of organic solid waste in municipal markets represents a critical environmental challenge in tropical developing regions, where high humidity (>80%) and elevated temperatures (>25°C) accelerate decomposition, generating leachate and greenhouse gas emissions. In Peru, over 50% of municipal waste is organic, yet less than 20% is valorised through composting, highlighting a substantial technological gap. This study evaluated an … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 11 Aug 2026 · 1,262 accessesView PDFCite
Review ArticleOpen accessIn the abstractComparative Analysis of Classical Feature Detection Methods for UAV-Based Tomato DetectionMuhammad Sarwar Jahan Morshed, Md. Nasim Adnan, Md. Rafiqul IslamRemote sensing technologies, especially Unmanned Aerial Vehicles (UAVs), become crucial for Precision Agriculture (PA) to perform different tasks such as crop detection, yield prediction, leaf disease diagnosis, weed detection, and harvest forecasting to ensure higher productivity. Therefore, using various image analytics methods feature detection from the UAV-captured images plays a vital role for conducting these PA tasks. To enhance the … …Journal of Computer Science, Vol. 21, Issue 9 · 7 Nov 2025 · 2,404 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Tchebichef Moment Transform Image Compression using Psychovisual ModelFerda Ernawan, Nur Azman Abu, Nanna SuryanaAn extension of the standard JPEG image compression known as JPEG-3 allows rescaling of the quantization matrix to achieve a certain image output quality. Recently, Tchebichef Moment Transform (TMT) has been introduced in the field of image compression. TMT has been shown to perform better than the standard JPEG image compression. This study presents an adaptive TMT image compression. This … …Journal of Computer Science, Vol. 9, Issue 6 · 1 Jun 2013 · 7,124 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Complementary Metal-Oxide-Semiconductor Device by Externally Controlled Gate Oxide ThicknessB. Gopi, R. S.D. WahidabanuProblem statement: Since the advent of IC and VLSI technology, the demand for high-speed devices and equipment is growing very rapidly. Every individual researcher is marching towards the dream of achieving it. The role of a design engineer is becoming more challenging. As per Moore’s law, the packing density doubles every eighteen months. This is possible only by scaling down … …Journal of Computer Science, Vol. 8, Issue 4 · 1 Feb 2012 · 7,103 accessesView PDFCite
Research ArticleOpen accessIn the abstractInvariant Image Watermarking Using Accurate Zernike MomentsIsmail A. Ismail, Mohamed A. Shouman, Khalid M. Hosny, Hayam M. Abdel SalamProblem statement: Digital image watermarking is the most popular method for image authentication, copyright protection and content description. Zernike moments are the most widely used moments in image processing and pattern recognition. The magnitudes of Zernike moments are rotation invariant so they can be used just as a watermark signal or be further modified to carry embedded data. The computed … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Jul 2010 · 8,009 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Alternative Scaling Factor In Broyden's Class Methods for Unconstrained OptimizationMuhammad Fauzi bin Embong, Mustafa bin Mamat, Mohd Rivaie, Ismail bin MohdProblem statement: In order to calculate step size, a suitable line search method can be employed. As the step size usually not exact, the error is unavoidable, thus radically affect quasi-Newton method by as little as 0.1 percent of the step size error. Approach: A suitable scaling factor has to be introduced to overcome this inferiority. Self-scaling Variable Metric algorithms … …Journal of Mathematics and Statistics, Vol. 6, Issue 2 · 2 Jun 2010 · 7,692 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Separable Logarithmic Algorithm for Non-Linear OptimizationAbbas Y. Al-Bayati, Hawraz N. JabbarProblem statement: The idea of this study stemmed from the fact that most of the currently used optimization algorithms use a local quadratic representation of the objective function. It also arisen from the fact that the objective function may not be represented adequately by quadratic functions and the global minimizer may be obtained for objective functions. So, in this study, … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 6,872 accessesView PDFCite
Research ArticleOpen accessIn the abstractSimulated Annealing with Deterministic DecisionsTaisir EldosProblem statement: Simulated Annealing (SA) algorithms have been used in solving a wide range of discrete optimization problems for many years, with well know drawbacks like the computational time and difficulties related to the parameters settings. One of the other issues that open the door for research is the acceptance decision that provides for hill climbing; the standard SA algorithms … …Journal of Computer Science, Vol. 5, Issue 12 · 31 Dec 2009 · 7,119 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA New Three-Term Preconditioned Gradient memory Algorithm for Nonlinear Optimization ProblemsAbbas Y. AL-Bayati, Ivan S. LatifIn the present study, we proposed a three-term of preconditioned gradient memory algorithms to solve a nonlinear optimization problem. The new algorithm subsumes some other families of nonlinear preconditioned gradient memory algorithms as its subfamilies with Powell's Restart Criterion and inexact Armijo line searches. Numerical experiments on twenty one well-known test functions with various dimensions generally encouraged and showed that … …Journal of Mathematics and Statistics, Vol. 4, Issue 2 · 30 Jun 2008 · 6,781 accessesView PDFCite