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Deriving global and local integrity rules for a distributed database
Published 2001“…Our technique referred to as the integrity test generation, derives global and local integrity rules has effectively reduced the cost of constraint checking in a distributed environment.…”
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Efficient genetic partitioning-around-medoid algorithm for clustering
Published 2019“…One of the main issues in genetic k-means based algorithms is their sensitivity to outliers and unevenly distributed clusters due to the mean compromised computations. …”
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Thesis -
3
Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning
Published 2016“…The Fuzzy c-means clustering improved the accuracy of classification task to 40.53%. …”
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Tracking moving targets in wireless sensor networks using extended diffusion strategies of distributed Kalman filter
Published 2013“…As a simulation study, we applied the algorithms in a network to track the position and speed of a projectile and compared the results with real world circumstances, using the concept of transient mean square deviations of network as a cost function. …”
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Efficient bandwidth allocation methods in upstream EPON
Published 2023“…PON Dynamic Bandwidth Allocation (DBA) scheme provides the means for upstream traffic allocation. In this paper, the operation of several bandwidth allocation algorithms in upstream Ethernet PON (EPON) is presented. …”
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Pemetaan Pm10 Dan Aot Menggunakan Teknik Penderiaan Jauh Di Semenanjung Malaysia
Published 2006“…The developed algorithms are two-band algorithm, terma linear and modified algorithm from the combination of the visible and infrared thermal bands. …”
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Computation of scale-independent surface roughness via the generation of multiscale digital elevation models
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Development of real-time monitoring BLE-LoRa positioning system based on RSSI for non-line-of-sight condition
Published 2023“…The estimated location is analyzed with the root mean square error (RMSE) and cumulative distribution function (CDF). …”
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Multi-objective portfolio selection with skewness preference: An application to the stock and electricity markets / Karoon Suksonghong
Published 2014“…The mean-variance (MV) efficient portfolios (Markowitz, 1952) are obtained by searching for portfolios that attain the global minimum variance at a given level of expected return. …”
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A new variant of black hole algorithm based on multi population and levy flight for clustering problem
Published 2020“…Partitioning-based type of clustering algorithms, such as K-means, is prone to the problem of producing a set of clusters that is far from perfect due to its probabilistic nature. …”
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Analysis and decentralised optimal flow control of heterogeneous computer communication network models
Published 1993“…The direct dependence of the maximum throughput on the mean time delay is also determined. The optimal local flow control with global objectives results in a team decision that does not favour any individual user, and depends only on the relative order of their packet generation rates. …”
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Development of a New Modeling Circuit for the Remote Terminal Unit (RTU) with GSM Communication
Published 2013“…The design proposed based on Global System for Mobile (GSM) communication and this paper also presents as efficient design for distribution automation system and its implementation in remote/automatic monitoring and controlling of the relays (circuit breaker) by means of GSM Short Message Service (SMS) services, automatic decision making and continuous monitoring of distribution system components in real time. …”
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4E analysis of a two-stage refrigeration system through surrogate models based on response surface methods and hybrid grey wolf optimizer
Published 2023“…Finally, the K-means clustering technique is applied for Pareto characterization. …”
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ANALYSIS OF HYBRID SOLAR AND WIND POWER GENERATION SYSTEMS
Published 2022“…Furthermore, the unstable power distribution is solved by optimizing the output power using relevant mathematical algorithms. …”
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Final Year Project Report / IMRAD -
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Content-based indexing of low resolution documents
Published 2016“…We present hierarchy indexing techniques, whose foundation are tree and clustering. K-means clustering are used for visual features like colour since their spatial distribution give a good image’s global information. …”
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Meta-heuristic approaches for reservoir optimisation operation and investigation of climate change impact at Klang gate dam
Published 2023“…Consequently, seeking managing of reservoir optimisation operations had always been at the forefront and to improve managing, algorithms have had been presented over the past few decades, beginning with conventional algorithms, followed by heuristic algorithms, and finally, the meta-heuristic algorithms (MHAs). …”
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Final Year Project / Dissertation / Thesis -
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