Search Results - (( data processing re algorithm ) OR ( java adaptation optimization algorithm ))
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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Segmentation of MRI brain images using statistical approaches
Published 2011“…Moreover, three improvements of EM for brain MRI segmentation are proposed, which incorporate neighbourhood information in a new manner in the clustering process. In addition, two algorithms for the post-processing of clustering results using user-interaction and the re-evaluation of boundary data in each cluster are presented. …”
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Energy Efficient LEACH (EE-LEACH) Routing Algorithm for Wireless Sensor Networks
Published 2019“…Nodes with higher residual energy and RSSI than the threshold are selected as the CHs which continue operating as CHs until their residual energy is lower than the threshold. This reduces the re-election and re-clustering processes which lowers the network energy consumption. …”
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Framework development in extracting rules from trained neural network / Shuzlina Abdul Rahman, Azlinah Hj Mohamed and Marina Yusoff
Published 2006“…In addressing this framework, the criteria of each approaches has been explored and analyzed from eight factors: process extraction, merit, demerit, rule type, type of data, rule quality, processing complexity, and the description of each RE technique. …”
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Web-based RIG performance reporting system using interactive visualization techniques / Amir Hambaly Nasaruddin
Published 2019“…A study found that the visualization tools nowadays are not free, and it is expensive, so this system will help CoRe department in visualizing data. This project software development process used an agile model SDLC to develop the system. …”
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Classification of Cardiac Disorders Based on Electrocardiogram Data with Fuzzy Cognitive Map (FCM) Algorithm Approach
Published 2021“…Meanwhile, the re�sult of abnormal heart convergence process has the lowest convergence value of 0.49 and the highest convergence value of 0.87. …”
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An Improved C4.5 Data Mining Driven Algorithm for the Diagnosis of Coronary Artery Disease
Published 2019“…This research used an im-proved C4.5 data mining algorithm for the diagnosis of CAD. A performance evaluation of the improved algorithm was carried out against the traditional C4.5 Algorithm. …”
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An ensemble of neural network and modified grey wolf optimizer for stock prediction
Published 2019“…Therefore, the research attempts to modify GWO to addresses the limitation of GWO for improvement of exploration by strengthen the searching process via several random leaders in each iteration, re-generating the random leaders in each iteration and introducing archive to verify the solution with better probability to proceed further for training and re-generation. …”
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Penilaian esei berbantukan komputer menggunakan teknik Bayesian dan pengunduran linear berganda
Published 2006“…MMB Technique only required a small size of training data. (3) Prediction process of writing style using Multiple Linear Regression (MLR) Algorithm. …”
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IDSA: an efficient algorithm for skyline queries computation on dynamic and incomplete data with changing states
Published 2021“…Data incompleteness causes several challenges on skyline queries such as losing the transitivity property of the skyline technique and the test dominance process between tuples being cyclic. …”
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Enhance efficiency of answering XML keyword query using incompact structure of MCCTree
Published 2012“…If the result cannot be used directly by the ranking method, the algorithm has an ineffective process. Moreover, if the ineffective process requires re-examining the original tree, the efficiency of the process of the algorithm will be reduced. …”
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Statistical analysis on enhanced 3D-AES block cipher cryptographic algorithm / Nor Azeala Mohd Yusof
Published 2021“…The randomness of Enhanced 3D-AES then is re-evaluated and it has passed all 15 statistical tests for all seven data categories. …”
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IDSA: an efficient algorithm for skyline queries computation on dynamic and incomplete data with changing states
Published 2021“…Data incompleteness causes several challenges on skyline queries such as losing the transitivity property of the skyline technique and the test dominance process between tuples being cyclic. …”
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Input significance analysis: Feature selection through synaptic weights manipulation for EFuNNs classifier
Published 2017“…Today’s digital lifestyles are changing rapidly and already moving towards the Big Data phenomenon. The data stored or collected from these digital activities can be so large or complex, and caused the traditional data processing algorithms or software to be inadequate when used to process them. …”
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Improved thresholding and quantization techniques for image compression
Published 2017“…Moreover, the compression process involves eliminating some data that degrades the image quality. …”
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Gripping controller design for a one-degree-of-freedom robotic hand model based on slip detection
Published 2016“…A circuit is designed and implemented to collect the data of the sensors that would be analyzed. The robotic hand system comprises a new algorithm for data extraction and signal processing analysis that are measured from an object re-gripping operation based on slip detection information. …”
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Neural Network Modeling And Optimization For Enzymatic Hydrolysis Of Xylose From Rice Straw
Published 2015“…The data samples has been split into training, testing and validation data set before re-sampling with bootstrap re-sampling method. …”
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Leachate generation rate modeling using artificial intelligence algorithms aided by input optimization method for an MSW landfill
Published 2019“…Furthermore, low and peak flow criterion (LFC and PFC) assessment of leachate inflow values in ANN-MLP model with two hidden layers made more accurate values than other models. Since minimizing data collection and processing efforts as well as minimizing modeling complexity are critical in the hydrological modeling process, the applied input optimization process and the developed models in this study were able to provide a good performance in the modeling of leachate generation efficiently. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.…”
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