Search Results - (( based interactive cell algorithm ) OR ( java application mining algorithm ))
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Direct approach for mining association rules from structured XML data
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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Article -
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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A web-based implementation of k-means algorithms
Published 2022“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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Final Year Project / Dissertation / Thesis -
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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Mobility management schemes based on multiple criteria for optimization of seamless handover in long term evolution networks
Published 2014“…Simulation results using LTE-Sim show that the outage probability and delay are reduced by 24.4% and 11.9% respectively, compared to the hard handover (HHO) method that has been adopted for 4G. The second scheme is cell selection based on multiple criteria decision making (MCDM) approach. …”
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An AUSM-based high-order compact method for solving Navier-Stokes equations
Published 2023“…A high-order compact upwind algorithm is developed for solving Navier-Stokes equations in two-space dimensions. …”
Article -
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Solving computational algorithm using CLONALNet technique based on artificial clonal selection
Published 2023Conference paper -
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Hand motion detection from EMG signals by using ANN based classifier for human computer interaction
Published 2011“…A back-propagation (BP) network with Levenberg-Marquardt training algorithm was utilized. The conventional time and time-frequency based feature sets have been chosen to train the neural network. …”
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Proceeding Paper -
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Optimization of chemotherapy using metaheuristic optimization algorithms / Prakas Gopal Samy
Published 2024“…Leveraging state-of-the-art Multi-Objective Optimization algorithms, the research delves into the intricate dynamics of tumour and effector cell interactions within the context of chemotherapy. …”
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EMG signal classification for human computer interaction: a review
Published 2009“…Most of the developmental area is based on pattern recognition using neural networks. …”
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Article -
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MicroRNA regulation of human choline kinase gene expression
Published 2019“…MiRNAs binding was predicted by several online computer programs that utilize different algorithms. Potential miRNAs were selected for the synthesis of their mimics and transfected into cancer cell lines. …”
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Article -
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A Modular Intelligent Control Framework for Scalable Biohydrogen Production in Microbial Electrolysis Cells
Published 2025“…Microbial electrolysis cells (MECs) convert wastewater into renewable hydrogen; however, their commercial adoption is hindered by highly nonlinear dynamics, complex microbial interactions, and inadequate process control. …”
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Article -
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Numerical simulation of fluid flow in three dimensional domain based on two stage pressure-velocity correction method
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Numerical simulation of fluid flow in three dimensional domain based on two stage pressure-velocity correction method
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Conference or Workshop Item -
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Development of hippocampus MRI image segmentation algorithm for progression detection of alzheimer’s disease (AD)
Published 2022“…The algorithm will be applied once the ROI has been specified. …”
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Thesis -
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Optimization of Microbial Electrolysis Cell for Sago Mill Wastewater Derived Biohydrogen via Modeling and Artificial Neural Network
Published 2023“…Model validity describes the first sub-objective, which is to solve the complexity of the nonlinear interaction of multiple MEC input variables related to the hydrogen production rate response using artificial neural networks (ANN) before validating the mathematical modeling results by comparing experimental data with the predicted substrate concentration profile and hydrogen production rate profile based on the re-estimated input values of the model parameters using single-objective optimization based on the nonlinear convex method using gradient descent algorithm. …”
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