Search Results - (( using scale data algorithm ) OR ( java application customization algorithm ))
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Simulated annealing algorithm for scheduling divisible load in large scale data grids.
Published 2009“…This paper proposes a novel Simulated Annealing (SA) algorithm for scheduling divisible load in large scale data grids. …”
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Facial features point localization using modified SIFT scale space / Zulfikri Paidi
Published 2020“…This study aimed to develop a new algorithm in the form of hybrids when the scaling technique in SIFT was integrated with another technique. …”
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3
Simulated annealing algorithm for scheduling divisible load in large scale data grids
Published 2008“…This paper proposes a novel simulated annealing (SA) algorithm for scheduling divisible load in large scale data grids. …”
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Improved stochastic gradient descent algorithm with mean-gradient adaptive stepsize for solving large-scale optimization problems
Published 2023“…It is an iterative algorithm with descent properties that reduces computational cost by using derivatives of random data points. …”
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Voting algorithms for large scale fault-tolerant systems
Published 2011“…So far, various voting methods are proposed which are mostly proper for small-scale systems. In this research, we proposed optimal algorithms using Divide and Conquer, Brent’s theorem and parallel algorithms, appropriate for today’s large scale systems such as satellite processing systems, traffic control, weather forecasting which all face a large quantity of processing input data. …”
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7
An improved scatter search algorithm for parameter estimation in large-scale kinetic models of biochemical systems
Published 2019“…The algorithm is tested using a large-scale metabolic model of Chinese Hamster Ovary (CHO) cells. …”
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Spatial Clustering Algorithm for Time Series Rainfall Data Using X-Means Data Splitting
Published 2017“…Therefore, a clustering algorithm by introducing data transformation using X-means data splitting is proposed to investigate the spatial homogeneity of time series rainfall data. …”
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Two objectives big data task scheduling using swarm intelligence in cloud computing
Published 2016“…It has been widely used for its enormous benefits and its ability to cope with large scale data such as workflows and big data applications. …”
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An Improved Scatter Search Algorithm for Parameter Estimation in Large-Scale Kinetic Models of Biochemical Systems
Published 2019“…The algorithm is tested using a largescale metabolic model of Chinese Hamster Ovary (CHO) cells. …”
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Nano-scale VLSI clock routing module based on useful-skew tree algorithm
Published 2006“…We implemented Useful-Skew Tree (UST) algorithm which is based on the deferred-merge embedding (DME) paradigm, as the clock layout synthesis engine. …”
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EOG-BASED SYSTEM FOR EYES MOVEMENT DETECTION
Published 2019“…In this study, we analysis and identify the signals and data of the Electrooculography (EOG) for the movement of the eyes by identify the potentials using the wavelet algorithm. …”
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Final Year Project -
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Not seeing the forest for the trees: Generalised linear model out-performs random forest in species distribution modelling for Southeast Asian felids
Published 2023“…Other approaches have been developed to produce robust SDMs, like training data bootstrapping and spatial scale optimisation. …”
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Three-term backpropagation algorithm for classification problem
Published 2006“…These datasets represents small, medium and large scale data respectively. The results obtained showed that Three-Term BP only outperforms standard BP while using small scale data but not in case of medium and large dataset. …”
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16
Software User Interface and Algorithm Development for Signal and Noise Characterization
Published 2015“…The light is emit to cantilever and reflect the light to photodiode. The data from photodiode is read by LabVIEW software for further develop to obtain useful output data. …”
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Final Year Project / Dissertation / Thesis -
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Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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Process monitoring and fault detection in nonlinear chemical process based on multi-scale Kernel Fisher discriminant analysis
Published 2015“…By decomposing the process data into multiple scales, MSKFDA analyse the dynamical data at different scales and then restructure scales that contained important information by inverse discrete wavelet transform (IDWT). …”
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Conference or Workshop Item -
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Performance-aware cost-effective brokering and load balancing algorithms for data center in large scale cloud computing
Published 2015“…Proposed Cost Aware algorithm minimizes approximately 5.5% cost compared with closest data center algorithm. …”
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