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Hybrid scheduling and dual queue scheduling
Published 2009“…Our research work involves the design and development of new CPU scheduling algorithms (the Hybrid Scheduling Algorithm and the Dual Queue Scheduling Algorithm) with a view to optimization. …”
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Hybrid scheduling and dual queue scheduling
Published 2009“…Our research work involves the design and development of new CPU scheduling algorithms (the Hybrid Scheduling Algorithm and the Dual Queue Scheduling Algorithm) with a view to optimization. …”
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Computed Tomography virtual lab software application in process tomography research
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802.11 MAC layer sniffer using spoof detection algorithm / Azwan Abdul Satar
Published 2007“…This paper present a wireless sniffer monitoring tool, as well as the analysis and development process of constructing it. …”
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Student resource exchange: a web-based system for sharing educational resources among students
Published 2025“…This project focuses on the development of the Student Resource Exchange, a web-based platform designed to enhance the sharing and accessibility of educational resources among students. …”
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Designing and implementation of robot mapping algorithm for mobile robot
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Multi-objective optimization of stand-alone hybrid renewable energy system by genetic algorithm
Published 2013“…HOGA (Hybrid Optimization by Genetic Algorithms) is developed by Dr.Lopez from Zaragoza university in Spain. …”
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DATA REPRESENTATION AND REASONING BASED ON SEMANTIC WEB INTEGRATION
Published 2015“…The main aim of this research was to develop an approach for Semantic Web in oil and gas sector consisting architecture and algorithm to facilitate data integration and reduce the problem of interoperability. …”
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Customer profiling using K-means clustering method / Nik Asyraniasna Nik Mohd Asri
Published 2024“…The end goal is to provide organizations with an effective tool that helps them better understand their customer segments, enabling them to develop more individualized and successful communication strategies in the context of a competitive market.…”
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Decision Support Tools: Machine Learning Application in Smart Planner
Published 2023“…Immaculate Project Planning and Execution (PPE) is capital to edge over competitors, decrease costs and honour delivery dates.Project Management Information System (PMIS) is necessary towards an improved and efficient quality of any project.Machine Learning (ML) Algorithms enabled learned the date of experience to develop insights into various associations between data and outcomes.A defined set of rules prescribed by the analysts makes the probability of the fault possible.In this paper, Regression Model compute across all viable sectors expending the tool for Downstream Business and other Facilities Upstream, including Resource Estimation Schedule Generation.Extending structured information into a reliable database allows super users to define the data structures and completely configurable the settingâ��s dynamics.The model used to decrease the approximation error and measure the closest possible outcome.This subset of artificial intelligence has tremendous potential in improving schedule generation configuration to develop Project Planning timely and financially smartly.This paper aims to share standard protocols and methods applied in ML-aided as a tool in PPE decision making.Additionally, the abundant used data resources devoted to implementing ML are outlined.Finally, ML success as a Decision Support tool in project management by having a Smart Planner in supporting project recommendation accelerates the decision process, increases stakeholder confidence, and minimizes uncertainty; results are reviewed and analyzed where gaps and potential improvement for future projects are being noted and highlighted. …”
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Algorithm Development of Bidirectional Agglomerative Hierarchical Clustering Using AVL Tree with Visualization
Published 2024thesis::doctoral thesis -
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Analytical method for forensic investigation of social networking applications on smartphones
Published 2016“…The identified patterns are then used to design an algorithm for detecting social networking data remnants automatically. …”
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Enhancing a cluster-based TDMA MAC protocol for vehicle-to-vehicle communications / Abubakar Bello Tambawal
Published 2020“…Furthermore, a new algorithm was also developed to provide an efficient CH leadership transition from PCH to SeCH when the PCH can no longer continue with the leadership responsibility. …”
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Identifying suicidal ideation through twitter sentiment analysis using Naïve Bayes / Annasuha Atie Atirah Alias
Published 2023“…Thus, this project aims to design, develop, and evaluate web-based application utilizing sentiment analysis, specifically employing the Naïve Bayes algorithm, to identify and analyze suicidal ideation within Twitter posts. …”
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Parametric cure fraction models for interval-censoring with a change-point based on a covariate threshold
Published 2015“…Cure fraction models for interval-censored data are less developed compared to the right-censoring case. Moreover, most of the existing cure fraction models share in common the assumption that the effect of a covariate is constant in time and over the range of the covariate. …”
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Comparative analysis of deepfake image detection method using VGG16, VGG19 and ResNet50
Published 2024“…Specifically, we focus on three convolutional neural network (CNN) algorithms—VGG16, VGG19, and ResNet—for this purpose. …”
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Enhancing social experience in smart stadium with Wi-Fi 6 quality management
Published 2025“…This study proposes a Wi-Fi 6-based Quality of Service (QoS) management framework to ensure uninterrupted, high-quality video streaming during live events. Developed using Python and NS-3 simulation tools, the framework employs the Priority Queuing algorithm to optimize traffic flow. …”
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A review on internet of things (IoT) based water monitoring system
Published 2023“…The Internet of Things (IoT) connects numerous devices that may share and collect data. IoT expands its capabilities to include environmental concerns in addition to the automation sector by utilizing industry 4.0. …”
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Role of AI in Combating and Perpetuating Fake News
Published 2024conference output::conference proceedings::conference paper
