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146 articles for “solving problems”
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Research ArticleOpen accessIn the abstractBased Approach to Improve the All-Pair Shortest Path ComputationLau Nguyen Dinh, Le Thanh TuanThis paper presents the development of a centralized algorithm for finding the shortest path between all pairs of vertices on a graph, utilizing the basic structure of the Floyd-Warshall sequential algorithm. The proposed algorithm leverages multiple processors to compute the shortest path between all vertex pairs, with one processor taking the central role in data management. This central processor divides … …Journal of Computer Science, Vol. 21, Issue 7 · 30 Jun 2025 · 2,903 accessesView PDFCite
Research ArticleOpen accessIn the abstractPersian Curve Versus Monte Carlo MethodAbdolrasoul Ranjbaran, Mohammad Ranjbaran, Fatema RanjbaranThe Monte Carlo Simulation method is a powerfultool for solving problems including random variables. The basic idea toimplement a Monte Carlo simulation is to first generate samples of randominputs from their assumed distributionfunctions and then perform a deterministic calculation on the generated randominputs, based on mathematical modeling of the system, to obtain output results.An early version of Monte Carlo simulation … …International Journal of Structural Glass and Advanced Materials Research, Vol. 5, Issue 1 · 6 Jul 2021 · 8,300 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Simulator Based on Meta-Heuristic for FMS and AGV Systems Design and ControlSlim Ben Saoud, Amel Jaoua, Narjès Bellamine-Ben SaoudFlexible Manufacturing Systems (FMS) based on Automated Guided Vehicles (AGV) have emerged as highly competitive manufacturing technologies of the last decade. However, their design and control are complex tasks since the decision problems related to the different system parameters such as sizing and scheduling are usually shown as NP-hard. Nowadays, computer simulation is one of the most commonly used methods … …Journal of Computer Science, Vol. 1, Issue 1 · 1 Dec 2020 · 5,949 accessesView PDFCite
Research ArticleOpen accessIn the abstractNovel De-Oiling of Oil-WaterEmmanuel Ewa Ekeng, Jonah Chukwuemeka AgunwambaThe study anchors on developing a mechanistic model for oil-water separation. Over the years, researchers have been working on how to improve the quality of produced water effluent especially from oil and gas operations sent to the receiving waters. Despite the standard set for compliance by regulatory bodies like united nation agency, ministry, departments and other agencies both state and … …American Journal of Applied Sciences, Vol. 17, Issue 1 · 2 Sep 2020 · 6,945 accessesView PDFCite
Research ArticleOpen accessIn the abstractExploring Learning Capability of an Agent in SOAR: Using 8-Queens ProblemNeha Rajan, Sunderrajan SrinivasanCognitive architecture deals with describing the intelligent behavior of an agent. The description of intelligent behavior states how well an agent can solve and represent variety of problems of the domain-independent task. The intelligence of an agent is considered in terms of its learning capabilities. In this study, we are exploring solving 8-Queens combinatorial problem using SOAR symbolic cognitive architecture. … …Journal of Computer Science, Vol. 16, Issue 5 · 25 May 2020 · 7,067 accessesView PDFCite
Research ArticleOpen accessIn the abstractONCODIAG Select and Test (ST) Algorithm: An Approximate Clinical Reasoning Model for Diagnosing and Monitoring Breast CancerO.N. Oyelade, A.A. Obiniyi, S.B. JunaiduClinical reasoning involves coordinated thinking strategies targeted at gathering and analyzing relevant information to arrive at a high-quality clinical solution to patients' medical problems. The correctness and proper choice of clinical reasoning approach chosen by a clinician or machine affect the accuracy and acceptability of the diagnosis; moreover, another challenge that usually surfaces during clinical reasoning is the burden of … …Current Research in Bioinformatics, Vol. 9, Issue 1 · 22 Feb 2020 · 8,936 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing Background Knowledge and Random Sampling in Genetic Programming: A Case Study in Learning Boolean Parity FunctionsLappoon R. TangThe Boolean even-N-parity function returns T (i.e., true) if an even number of its Boolean arguments for N arguments are T and otherwise returns NIL (i.e., false). Learning Boolean even-N-parity functions has been recognized as a difficult problem for evolutionary computation (such as genetic programming) especially when N is large (e.g., 20+). A number of approaches have been proposed for … …Journal of Computer Science, Vol. 19, Issue 7 · 10 Jul 2023 · 5,481 accessesView PDFCite
Research ArticleOpen accessIn the abstractProtein Secondary Structure Prediction using Hybrid Recurrent Neural NetworksRomana Rahman Ema, Akhi Khatun, Md. Alam Hossain et al.The most important and challenging problem in bioinformatics is protein secondary structure prediction. The molecules of all protein organisms have three-dimensional (primary, secondary, 3-D) structures which are completely recognized by the sequence of amino acids. Protein secondary structure attributes to the polypeptide backbone of the local configuration of proteins. Most generally, the second-level prediction is indicated such as: If there … …Journal of Computer Science, Vol. 18, Issue 7 · 14 Jul 2022 · 7,332 accessesView PDFCite
Research ArticleOpen accessIn the abstractDecentralized Lean Business Model Canvas for Blockchain-Based EnterprisesEashwar Sivakumar, Paras ChawlaAgeneric decentralized lean business model canvas was developed using theprinciples of business process management and lean six sigma forblockchain-based systems presented in this study. Based on the literaturereview, it was found that business model canvas and lean canvas are some of themost widely used management tools. Business Model Canvas can be used forselling a specific product and lean canvas can … …Journal of Computer Science, Vol. 18, Issue 5 · 5 Jun 2022 · 7,448 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of Homotopy Perturbation Method for SIR Model with Vital Dynamics and Constant PopulationMohammed S. Mechee, Ghassan A. Al-JuaifriIn this work, we have studied Susceptible-Infected-Recovered (SIR) model with vital dynamics and constant population, which is used as a mathematical models in many physically significant fields of applied science. The Homotopy Perturbation Method (HPM) and Runge-Kutta method (RK) have been used for solving the SIR model with vital dynamics and constant population. The convergence of HPM has been studied. … …American Journal of Applied Sciences, Vol. 15, Issue 1 · 3 Jan 2018 · 8,003 accessesView PDFCite