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330 results for “optimization algorithm”
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Research ArticleOpen accessAll words, across the recordOPTIMIZATION OF TEST CASES BY PRIORITIZATIONT. Prem Jacob, T. RaviRegression testing is testing the software in order to make sure that the modification made on the program lines does not affect the other parts of the software, it is in maintenance phase and accounts for 80% of the maintenance cost and thus optimizing regression testing is one of the prime motives of software testers. Here we take the advantage … …Journal of Computer Science, Vol. 9, Issue 8 · 4 Jul 2013 · 7,607 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAn 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 · 7,696 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordSwarm Negative Selection Algorithm for Electroencephalogram Signals ClassificationNasser Omer Sahel Ba-Karait, Siti Mariyam Shamsuddin, Rubita SudirmanProblem statement: The process of epilepsy diagnosis from EEG signals by a human scorer is a very time consuming and costly task considering the large number of epileptic patients admitted to the hospitals and the large amount of data needs to be scored. Therefore, there is a strong need to automate this process. Such automated systems must rely on robust … …Journal of Computer Science, Vol. 5, Issue 12 · 31 Dec 2009 · 7,209 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordLayout Optimization in a Fitness Industry: An Application of QAP Formulation and Heuristic Approachesİbrahim Miraç Eligüzel, Eren Özceylan, Yakup AtasagunThe Quadratic Assignment Problem (QAP) is the problem of determining a one-to-one and onto assignment between two sets, each consisting of n objects (e.g., n facilities and n locations) so as to minimize the sum of the distance × flow associated with pairs of assignments. In this study, QAP formulation is applied to a fitness center to assign the sports … …Journal of Computer Science, Vol. 17, Issue 4 · 3 May 2021 · 6,686 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordAI-Driven Innovations in Meat Quality and Safety: Applications, Challenges, and Future DirectionsEmrobowansan Monday IdamokoroArtificial Intelligence (AI) is revolutionizing the meat sector by improving efficiency, accurateness, as well as sustainability in meat production, quality evaluation, and safety control. The conventional systems of meat inspection, handling, and processing are usually time consuming, labour-intensive, prone to contamination during handling and often susceptible to human errors. The use of artificial intelligence to drive technologies, including Deep Learning … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 3 · 28 Jan 2026 · 3,686 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Fuzzy Logic-Based Smart Traffic Management SystemsAdel Abdallah Abdou, Mohamed Hassan Farrag, A. S. TolbaTraffic congestion is a serious problem in many developing countrieslike Egypt. In the presence of thetraditional traffic light system, it creates health risks, wastes time andfuel, and pollutes the air. Therefore, there is a big need for a smart trafficmanagement system. This study contributes in solving this problem byintroducing an artificial intelligence-based smart traffic light system usingfuzzy logic to ensure … …Journal of Computer Science, Vol. 18, Issue 11 · 24 Nov 2022 · 7,188 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordOptimal Control Strategy for Parallel Fan-Powered VAV SystemsNabil Nassif, Iffat Ridwana, Mostafa Tahmasebi, Pejman EbrahimiASHRAE Guideline 36 recommends resetting the Supply Air Temperature (SAT) for Variable Air Volume (VAV) systems to balance fan power, heating and cooling loads and zone reheat requirements. This is achieved by employing a trim and response algorithm in conjunction with using the outside air temperature and readings from zone cooling loops. However, resetting the SAT for the VAV systems … …Energy Research Journal, Vol. 13, Issue 1 · 6 Jun 2022 · 10,355 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEnd to End Delay Improvement in Heterogeneous Multicast Network using Genetic OptimizationV. Chandrasekar, K. BaskaranProblem statement: Multicast is a concept of group communication which refers to transmitting the same data or messages from a source to multiple destinations in the network. This one-to-many group communication is a generalization of the concepts of one-to-one unicast and one-to-all broadcast. To deliver data from the sender to all receivers efficiently, routing plays an important role in multicast … …Journal of Computer Science, Vol. 8, Issue 9 · 13 Aug 2012 · 6,737 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordComputational Analysis of Genre Effects on Movie Ratings Using MLP AlgorithmsSubir Gupta, Upasana Adhikari, Shefali Varshney, Tanupriya ChoudhuryPredictive analytics are what the entertainment industry depends on so much in prognosticating movie ratings, which is why they inform filmmakers, distributors and stream platforms strategic moves. Traditional prediction models most times only succeed in missing out on the intricate dynamics that are genre-specific to movie ratings thereby leading to inaccuracies and suboptimal decision making. The paper proposes this research … …Journal of Computer Science, Vol. 21, Issue 4 · 19 Mar 2025 · 5,545 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordGlobal Supply Chain: Enhance Production Cost Efficiency Through Machine LearningLoubna Moumeni, Mohammed SaberMachine learning has enabled the discovery of various disciplines and patterns in Supply Chain Management (SCM). The entire industrial sector is striving to harness the contextual intelligence provided by machine learning by exploring new areas within the supply chain network. This article delves into Supply Chain Management (SCM) and its broader implications beyond logistics. SCM involves the resources, methods, and … …Journal of Computer Science, Vol. 20, Issue 9 · 14 Jun 2024 · 5,320 accessesView PDFCite