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37 articles for “sorting”
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Research ArticleOpen accessEvery word in the titleIn-Process Vision Inspection Systems for Sorting using Image Processing TechniquesJ. Latha, N. DevarajanProblem statement: Machine vision system is based on digital image processing and is found to be the best sensor detection as its operation is similar to the human eye. The purpose of machine vision is the desire to provide real time machines with visual abilities. Approach: A real time system is developed and is interfaced with the mechanical structure to … …Journal of Computer Science, Vol. 8, Issue 4 · 2 Feb 2012 · 7,075 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDo Cows Under Subacute Ruminal Acidosis (SARA) Attempt to Self-Medicate?Erin Hendriksen, Ousama AlZahal, Tom C. Wright et al.The objective of this study was to examine feed-sorting behavior of dairy cows in response to a grain challenge that leads to Subacute Ruminal Acidosis (SARA). Sixteen multiparous, rumen-cannulated lactating Holstein cows were used. During the first 49 days of the experiment, all cows received a High-Forage diet (HF; 77:23, F: C; NFC=35). Cows were then transitioned to a High-Grain … …American Journal of Animal and Veterinary Sciences, Vol. 10, Issue 3 · 2 Sep 2015 · 7,571 accessesView PDFCite
Research ArticleOpen accessIn the keywordsComparative Performance Study of Improved Heap Sort Algorithm on Different HardwareVandana Sharma, Satwinder Singh, K. S. KahlonProblem statement: Several efficient algorithms were developed to cope with the popular task of sorting. Improved heap sort is a new variant of heap sort. Basic idea of new algorithm is similar to classical Heap sort algorithm but it builds heap in another way. The improved heap sort algorithm requires nlogn-0.788928n comparisons for worst case and nlogn-n comparisons in average … …Journal of Computer Science, Vol. 5, Issue 7 · 31 Jul 2009 · 6,824 accessesView PDFCite
Research ArticleOpen accessIn the keywordsParallel Two-Dimensional Quicksort Algorithm (PTSA)Hamed Al Rjoub, Ahmad Odat, Abdullah AudatIn this research, a Parallel Two-Dimensional Sorting Algorithm (PTSA) is presented that has better performance than the classical Quicksort, to sort a data vector of size n = r (rows) × c(columns). PTSA algorithm divides the input vector into n/r sub-vectors, which represents tow-dimensional vector of Slave Processor Elements (VPE ), the maximum number of VPE for parallel sorting is … …Journal of Computer Science, Vol. 4, Issue 1 · 31 Jan 2008 · 6,859 accessesView PDFCite
Research ArticleOpen accessIn the keywordsStrength Pareto Evolutionary Algorithm based Multi-Objective Optimization for Shortest Path Routing Problem in Computer NetworksSubbaraj Potti, Chitra ChinnasamyProblem statement: A new multi-objective approach, Strength Pareto Evolutionary Algorithm (SPEA), is presented in this paper to solve the shortest path routing problem. The routing problem is formulated as a multi-objective mathematical programming problem which attempts to minimize both cost and delay objectives simultaneously. Approach: SPEA handles the shortest path routing problem as a true multi-objective optimization problem with competing … …Journal of Computer Science, Vol. 7, Issue 1 · 16 Dec 2010 · 8,216 accessesView PDFCite
Review ArticleOpen accessIn the abstractImproving Classification and Clustering Accuracy of Palembang Duku Fruit Quality via CNN-K-Means IntegrationHenny Hartono, Francka Sakti Lee, Herlina Herlina et al.Duku Palembang (Lansium domesticum Corr.) is a leading commodity from South Sumatra with high economic value. The quality assessment process for duku has traditionally relied on manual visual inspection, which is subjective, time-consuming, and inconsistent, especially at large production scales. This study proposes an integrative framework combining Convolutional Neural Network (CNN) and K-Means Clustering to improve the accuracy of classification … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 8 May 2026 · 1,475 accessesView PDFCite
Research ArticleOpen accessIn the abstractCapsule Defect Detection and Classification Using Enhanced MobileNet ModelWenqing Bian, Yongzhi Huang, Baolian Shan, Yanting ChangThe quality of capsules has a direct impact on human health. However, defects inevitably arise during the capsule manufacturing process, and manual sorting is required. Most studies on capsule defects focus on detecting surface imperfections and those on internal capsule defects remain relatively limited. This study classifies four types of capsules using the deep learning model MobileNet, aiming to accurately … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 4 · 5 Nov 2024 · 5,203 accessesView PDFCite
Research ArticleOpen accessIn the abstractBionic Technology and Deep Learning in Agricultural Engineering: Current Status and Future ProspectsChunlei Tu, Jinxia Li, Xingsong Wang et al.As one of the most important production activity of mankind, agriculture plays an important role in social development. With the development of science and technology, agricultural technology has constantly been explored and researched. By learning and imitating the characteristics of creatures in nature, bionic technology has been applied to the improvement of agricultural machinery and farm implements. In recent years, … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 2 · 24 May 2021 · 6,989 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe New Matrix Model of Computation Based Purely on Quite a New Concept of the Matrix Computations for Extremely Quick Web Pages LoadingZulfia A. ChotchaevaWe all dream of quick loading. Quicker than it is now. So that it loads immediately. What is needed for this? There are a lot of things to do. The most important things in it are computations. To speed up loading, we need to speed up computations. If we will find the way to multiply large numbers quicker than we … …Journal of Computer Science, Vol. 16, Issue 11 · 27 Nov 2020 · 10,683 accessesView PDFCite
Research ArticleOpen accessIn the abstractDPSA: Deterministic Parallel Search Algorithm in Large DatabaseSami Qawasmeh, Arwa ZabianThe main goal of parallel processing is to reduce the complexity of finding a solution for a problem. In this study, we consider the problem of searching for multiple items at the same time in a large database. We propose a parallel search algorithm that reduces the searching time in comparison to binary search algorithm saving in that the time … …Journal of Computer Science, Vol. 13, Issue 9 · 6 Sep 2017 · 7,190 accessesView PDFCite