Search Results - (( java predictive modelling algorithm ) OR ( program implementation max algorithm ))
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1
A multidimensional data descriptor tool based on fuzzy min max neural network algorithm
Published 2018“…They have been compare for their advantages and disadvantages. The implementation of Fuzzy Min Max Neural Network technique has been applied using Matlab Programming. …”
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Undergraduates Project Papers -
2
An event-driven simulation for highest urgency first (HUF) : a latency and modulation aware bandwidth allocation algorithm for WiMAX base stations.
Published 2013“…This research has focused at developing a discrete-event simulator to implement bandwidth allocation algorithms for a WiMAX base station.The highest urgency first algorithm has been utilized as a benchmark deployment algorithm in order to provide: dynamic downlink/uplink adjustment and latency guarantee for real-time applications. …”
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Article -
3
Maximum 2-satisfiability in radial basis function neural network
Published 2020“…The simulated results suggest that the proposed algorithm is effective in doing MAX2SAT logic programming by analysing the performance by obtaining lower Root Mean Square Error, high ratio of satisfied clauses and lesser CPU time.…”
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Article -
4
Digital beamforming implementation of switch-beam smart antenna system by using integrated digital signal processor and field-programmable gate array
Published 2008“…After modeling, the algorithm is implemented in DSP. By using the Hardware- In-Loop facility of DSP, the comparison between hardware implementation and software modeling is performed. …”
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Thesis -
5
Mapreduce algorithm for weather dataset
Published 2017“…Results from the proposed algorithm have been compared with the existing model known as AWK (Alfred Aho, Peter Weinberger, and Brian Kernighan) model. …”
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Thesis -
6
Software metrics selection model for predicting maintainability of object-oriented software using genetic algorithms
Published 2016“…This thesis clarifies the issue using the objective method to develop the GA metric selection model for predicting the maintainability of object-oriented systems. …”
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Thesis -
7
MapReduce algorithm for weather dataset
Published 2018“…Results from the proposed algorithm have been compared with the existing model known as AWK (Alfred Aho, Peter Weinberger, and Brian Kernighan) model. …”
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Research Report -
8
Designing and Developing an Intelligent Congkak
Published 2011“…and “Can Min-Max algorithm (MM) be speeded up by using NN as a forward-pruning method?”. …”
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Thesis -
9
CPLD based controller for single phase inverters
Published 2007“…A type of filter is used to improve the distortion in the output waveform. A design and implementation of PWM by using complex programmable logic device (CPLD) from Altera MaxPlus II is constructed and programmed. …”
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Thesis -
10
CPLD based controller for single phase inverters
Published 2007“…A type of filter is used to improve the distortion in the output waveform. A design and implementation of PWM by using complex programmable logic device (CPLD) from Altera MaxPlus II is constructed and programmed. …”
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Thesis -
11
Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…On the Construction phase, the development of the prototype has been started. All the algorithm for the engine has been developed by using Java script language. …”
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Thesis -
12
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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13
Visualisation tool to study malaria transmission using network modelling
Published 2014“…Java was used to implement the visualisation tool. …”
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Final Year Project Report / IMRAD -
14
Landslide Susceptibility Mapping with Stacking Ensemble Machine Learning
Published 2024“…One of the prominent methods to improve machine learning accuracy is by using ensemble method which basically employs multiple base models. In this paper, the stacking ensemble method is used to increase the accuracy of the machine learning model for LSM where the base (first-level) learners use five ML algorithms namely decision tree (DT), k-nearest neighbor (KNN), AdaBoost, extreme gradient boosting (XGB) and random forest (RF). …”
Conference Paper -
15
Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…Currently, different prediction model for diabetic ketoacidosis are used depending on fasting or non-fasting conditions. …”
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16
Fast fourier transform processor implementation for high inputs on field programmable gates array
Published 2018“…Verilog Hardware Description Language (Verilog HDL) and VHDL Languages are used to program the algorithms into the FPGA. FFT algorithms will be implemented for up to 4096 points to measure the high load processing capability. …”
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17
An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In the second phase, a classifier ensemble learning model is proposed consisting of separate outputs: (i) To select a relevant subset of original features based on Binary Quantum Gravitational Search Algorithm (QBGSA), (ii) To mine data streams using various data chunks and overcome a failure of single classifiers based on SVM, MLP and K-NN algorithms. …”
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18
FPGA Implementation of Emergency Door Car Entry System
Published 2008“…Emergency door car entry system can be implemented using Field Programmable Gate Array (FPGA) board. …”
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Learning Object -
19
SG-PBFS : Shortest Gap-Priority Based Fair Scheduling technique for job scheduling in cloud environment
Published 2024“…To conduct this experiment, we employed the CloudSim simulator, which is implemented using the Java programming language.…”
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Article -
20
Digital Signal Processor (DSP) Design Using Very Long Instruction Word (VLIW) Architecture
Published 2001“…However, the pDSP chip has better ability to perform number crunching algorithms simultaneously. The objective of this research is to design and implement a general-purpose programmable DSP (Digital Signal Processor) core. …”
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