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217 results for “Time decision”
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Research ArticleOpen accessIn the keywordsMachine Learning Approaches for the Prediction of Gas Turbine TransientsArnaud Nguembang Fadja, Giuseppe Cota, Francesco Bertasi et al.Gas Turbine (GT) emergency shutdowns can lead to energy production interruption and may also reduce the lifespan of a turbine. In order to remain competitive in the market, it is necessary to improve the reliability and availability of GTs by developing predictive maintenance systems that are able to predict future conditions of GTs within a certain time. Predicting such situations … …Journal of Computer Science, Vol. 20, Issue 5 · 28 Feb 2024 · 7,660 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEfficient Web Usage Miner Using Decisive Induction RulesK. Poongothai, S. SathiyabamaProblem statement: Web usage mining is the technique of extracting useful information from server logs (user’s history) and finding out what users are looking for on the Internet. This type of web mining allows for the collection of Web access data for Web pages. Scope: The web usage data provides the paths leading to accessed Web pages with prefrences and … …Journal of Computer Science, Vol. 8, Issue 6 · 14 Mar 2012 · 6,899 accessesView PDFCite
Research ArticleOpen accessIn the keywordsBlock in volleyball with the help of Bodily CommunicationGaetano RaiolaProblem Statement: In volleyball, the ball is constantly fast and often the single game action cannot be understand due to the motor response that are very quick. The focus is always the time occurs between the stimulation, including the feedbacks and the chosen skills to play well. In this case it studies the relationship between the reaction time and tactical … …Journal of Social Sciences, Vol. 7, Issue 4 · 25 Oct 2011 · 8,950 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSpeech Enhancement Algorithm Using Sub band Two Step Decision Directed Approach with Adaptive Weighting factor and Noise Masking ThresholdDeepa Dhanaskodi, Shanmugam ArumugamProblem statement: Speech Enhancement plays an important role in any of the speech processing systems like speech recognition, mobile communication, hearing aid. Approach: In this work, human perceptual auditory masking effect is incorporated into the single channel speech enhancement algorithm. The algorithm is based on a criterion by which the audible noise may be masked rather than being attenuated and … …Journal of Computer Science, Vol. 7, Issue 6 · 14 Jun 2011 · 7,126 accessesView PDFCite
Research ArticleOpen accessIn the keywordsResponse Time Optimization for Replica Selection Service in Data GridsHusni H.E. AL-Mistarihi, Chan H. YongProblem Statement: Data Grid architecture provides a scalable infrastructure for grid services in order to manage data files and their corresponding replicas that were distributed across the globe. The grid services are designed to support a variety of data grid applications (jobs) and projects. Replica selection is a high-level service that chooses a replica location from among many distributed replicas … …Journal of Computer Science, Vol. 4, Issue 6 · 30 Jun 2008 · 6,495 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEmpirical Analysis and Mathematical Representation of the Path Length Complexity in Binary Decision DiagramsA. Assi, P. W.C. Prasad, B. Mills, A. ElchouemiInformation about the distribution of path-lengths in a Binary Decision Diagrams (BDDs) representing Boolean functions is useful in determining the speed of hardware and software implementations of the circuit represented by these Boolean functions. This study presents expressions produced from an empirical analysis of a representative collection of Boolean functions. The Average Path Length (APL) and the Shortest Path Length … …Journal of Computer Science, Vol. 2, Issue 3 · 31 Mar 2006 · 6,814 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Approach to Develop a Dynamic Job Shop Scheduling by Fuzzy Rule Based System and Comparative Study with the Traditional Priority RulesRamin Ahmed, Md. Muzahid Khan, Md. Hasibul Haque, Md. Hasibur RahmanThis paper aims at developing a dynamic job shop scheduling by establishing fuzzy rule based system and comparing its effectiveness with the traditional priority rules. In order to understand the priorities of different jobs in a job shop, the paper investigates all the contributing criteria of different parameters. Since the traditional priority rules only emphasis on a single parameter at … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 2 · 11 Feb 2016 · 8,365 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzyNET: A Fuzzy Logic-Based Framework for Enhancing Urban Efficiency in Smart CitiesHemant Kumar, Safdar Tanweer, Parul Agarwal et al.The smart city paradigm emphasizes the strategic use of IoT, Big Data, and digital technologies to optimize urban operations and improve service delivery for citizens. Embedding digital technologies within operational workflows is driven by the objective of improving efficiency and long-term sustainability. The core transformation is Artificial Intelligence (AI) that revolutionizes management of cities through automation and instantaneous decisions based … …Journal of Computer Science, Vol. 22, Issue 7 · 19 Jul 2026 · 820 accessesView PDFCite
Research ArticleOpen accessIn the abstractIoT-Integrated CNN Deep Learning for Automated Breast Cancer Detection and DiagnosisYamini Kalva, R. Ganesh Babu, Sindhu V. et al.Breast cancer continues to be a primary cause of death in women, requiring prompt and accurate diagnosis to enhance treatment results. Traditional diagnostic techniques depend on manual assessment, which leads to possible misclassification, significant inter-observer variability, and delays in decision-making. Current deep learning models, including CNNs, frequently experience feature loss, gradient declining and restricted adaptability to real-time data. To overcome … …Journal of Computer Science, Vol. 22, Issue 4 · 30 Mar 2026 · 1,753 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntelligent Traffic Light System Using Convolutional Neural Network to Optimize Vehicle Flow in IndonesiaBhustomy Hakim, Fergie Joanda Kaunang, Yemima Monica Geasela, Regina HillaryTraffic congestion remains a persistent challenge in major Indonesian cities due to rapidly increasing vehicle density and the continued reliance on fixed-time traffic signal scheduling. This study aims to develop an intelligent traffic light system that dynamically adjusts sequencing based on real-time road conditions. A dataset of 902 CCTV images was collected from intersections in six large cities across Indonesia, … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 2,155 accessesView PDFCite