Search Results - (( program training three algorithm ) OR ( java application sensor algorithm ))
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Human activity recognition via accelerometer and gyro sensors
Published 2023“…To implement the data engineering system proposed, two mobile applications, SensorData and SensorDataLogger with user-friendly interfaces and intuitive functionalities are developed using Java programming language and Android Studio. …”
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Final Year Project / Dissertation / Thesis -
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The process begins through the monitoring of plants using sensors connected to the Arduino device. Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. …”
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Article -
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Logic Programming In Radial Basis Function Neural Networks
Published 2013“…To do that, I established the radial basis function neural networks which represent the three conjunctive normal form (3-CNF) logic programming. …”
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Thesis -
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Enhanced Hopfield Neural Networks With Artificial Immune System Algorithm For Satisfiability Logic Programming
Published 2017“…Hence, a robust intelligence system that integrates the Hopfield neural network and metaheuristic paradigm is constructed to extract the data set hidden knowledge in the form of 3-Satisfiability logical rule. A hybrid network called HNN-3SATAIS is proposed by assimilating the Hopfield neural network with the enhanced artificial immune system (AIS) algorithm as a training tool in doing 3-Satisfiability logic programming.…”
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Thesis -
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Study Of Modified Training Algorithm For Optimized Convergence Speed Of Neural Network
Published 2016“…Back-propagation is the most common artificial neural training algorithm, however it is suffering with the slow convergence rate issue. …”
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Thesis -
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Recognition of isolated elements picture using backpropagation neural network / Melati Sabtu
Published 2005“…The programs are back-propagation neural network program, training and performance program and recognition program. …”
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Thesis -
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Optimization of Multilayer Perceptron (MLP) network training algorithms for agrwood oil quality separation / Noratikah Zawani Mahabob ... [et al.]
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Conference or Workshop Item -
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Design Of Robot Motion Planning Algorithm For Wall Following Robot
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Monograph -
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REDUCING LATENCY IN A VIRTUAL REALITY-BASED TRAINING APPLICATION
Published 2006“…Findings indicated that heuristic-based algorithm is an accurate prediction method to compensate latency in virtual training. …”
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Thesis -
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Neural network modeling and optimization for spray-drying coconut milk using genetic algorithm and particle swarm optimization
Published 2022“…The ANN model topology is designed using selection from the best training algorithm, transfer function, number of training runs (1000-5000), number of hidden layers (1-3) and nodes (5-15). …”
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Thesis -
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Software Classification Using Structure-Based Descriptors
Published 2009“…This work includes the use of structure information contained in source code programs to automate program classification. Three software metrics namely; LOC, MVG and WMCl have been extracted from programs of category board and puzzle obtained from SourceForge.net. …”
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Thesis -
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Classification model for hotspot occurrences using spatial decision tree algorithm
Published 2013“…As the ID3 algorithm that uses information gain in the attribute selection, the proposed algorithm uses spatial information gain to choose the best splitting layer from a set of explanatory layers. …”
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Article -
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The development of an automated pattern recognition based on neural network / Irni Hamiza Hamzah, Mohammad Nizam Ibrahim and Linda Mohd Kasim
Published 2006“…The selected neural network architecture is the Multilayer Perceptron (MLP) network, which is trained with three different types of learning algorithms, namely the Levenberg Marquardt (LM), Bayesian Regression (BR) and Gradient Descent (GDX). …”
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Research Reports -
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A new mobile botnet classification based on permission and API calls
Published 2024Conference Paper -
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Determining Suitable Program For SPM Holder Using Neural Network Approach
Published 2002“…The data was then trained using the proposed model. The findings show that the most suitable predictive model comprises of 35 nodes in input-layer; three nodes in hidden layer and one node in output-layer. …”
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Thesis -
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Lettuce Leaf Disease Detection Using Convolutional Neural Network Algorithm
Published 2023“…The image dataset will split into three set, training, validation and the testing. …”
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Final Year Project Report / IMRAD -
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