Search Results - (( developing emerging quality algorithm ) OR ( java application stemming algorithm ))
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MuDi-Stream: A multi density clustering algorithm for evolving data stream
Published 2016“…Recently, a number of density-based algorithms have been developed for clustering data streams. …”
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Three-dimensional coverage control for multi-unmanned aerial vehicle
Published 2024“…This study proposes a 3D coverage control algorithm to address complex real-world scenarios, wherein the 3D control algorithm will be developed based on the 2D MBC scheme. …”
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Prediction of COVID-19 outbreak using Support Vector Machine / Muhammad Qayyum Mohd Azman
Published 2024“…Looking ahead, future works may explore refining the SVM model and incorporating additional features for improved accuracy, and the ongoing iterative process involves continuous validation and adaptation of the model to evolving data patterns and emerging challenges in pandemic management. This research process serves as a blueprint for developing advanced technical solutions that aid authorities and healthcare professionals in optimal resource management during emergency situations.…”
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An adaptive density-based method for clustering evolving data streams / Amineh Amini
Published 2014“…Recently, a number of density-based algorithms have been developed for clustering data streams. …”
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Proposed algorithm for scheduling in computational grid using backfilling and optimization techniques
Published 2016“…In recent years, the fast evolution in the industry of computer hardware such as the processors, has led the application developers to design advanced software's that require massive computational power.Thus, grid computing has emerged in order to handle the computational power demands requested by the applications.Quality of service (QoS) in grid is highly required in order to provide a high service level to the users of Grid.Several interactions events are involved in determining the QoS level in grid such as; allocating the resources for the jobs, monitoring the performance of the selected resources and the computing capability of the available resources. …”
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Clustering ensemble learning method based on incremental genetic algorithms
Published 2012“…So far, limited genetic-based clustering ensemble algorithms have been developed. However, their clustering accuracy and convergence to group unlabeled samples are not still satisfied. …”
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Inter-cell and intra-cell facility layout models under different demand environments in cellular manufacturing systems
Published 2012“…Moreover, the computation time (CPU Time) of the developed SA algorithm is significantly less than the benchmarked algorithm. …”
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Modeling approach of cloud 4D printing service composition optimization based on non-dominated sorting genetic algorithm III
Published 2024“…In this research, the NSGA III algorithm is employed to develop a multiobjective optimization framework for 4D printing service portfolios, addressing critical issues such as service cost, time, quality, adaptability, and overall service optimization amidst fluctuating demand and service availability. …”
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Development of deep reinforcement learning based resource allocation techniques in cloud radio access network
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Efficient and stable routing algorithm based on user mobility and node density in urban vehicular network
Published 2016“…An appropriate, efficient, and stable routing algorithm must be developed for various VANET applications to address the issues of dynamic topology and intermittent connectivity. …”
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Integration Of Travel Time Zone For Optimal Siting Of Emergency Facilities
Published 2008“…Hence, the z values were sufficient to measure solution qualities yielded by the algorithms. Integration of the site suitability evaluation and tessellations has been proved workable to obtain scattered candidate sites that allow good solutions to be achieved in the optimization process. …”
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Utility of satellite imagery in estimating coastal marine water attributes
Published 2025“…Satellite remote sensing has emerged as a powerful tool for monitoring coastal water quality due to its extensive spatial coverage, cost effectiveness, and rapid data acquisition. …”
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Towards lowering computational power in IoT systems: Clustering algorithm for high-dimensional data stream using entropy window reduction
Published 2024“…Lately, a fully online buffer-based clustering algorithm for handling evolving data streams (BOCEDS) was developed. …”
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Relay suitability based routing protocol for video streaming in vehicular ad-hoc network
Published 2022“…It is evident from the result that the proposed algorithm able to produced better result.…”
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HSO: A hybrid swarm optimization algorithm for reducing energy consumption in the cloudlets
Published 2018“…Mobile Cloud Computing (MCC) is an emerging technology for the improvement of mobile service quality. …”
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Improved abnormal detection using self-adaptive social force model for visual surveillance
Published 2017“…So, Self-Adaptive SFM is developed in order to estimate a good quality of interaction forces since it is crucial to achieve better abnormal detection, which represents the behavior of the crowd. …”
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Enhancing social experience in smart stadium with Wi-Fi 6 quality management
Published 2025“…Developed using Python and NS-3 simulation tools, the framework employs the Priority Queuing algorithm to optimize traffic flow. …”
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A conceptual framework for multi-objective optimization of building performance: Integrating intelligent algorithms, simulation tools, and climate adaptation
Published 2025“…Furthermore, this review identifies future research priorities, including the integration of dynamic simulation with real-time optimization, and the development of lifecycle-oriented, comprehensive evaluation systems to address emerging environmental challenges. …”
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