Search Results - (( developing function using algorithm ) OR ( learning implementation success algorithm ))
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Implementation of machine learning algorithms for streamflow prediction of Dokan dam
Published 2023“…This study aims at comparing the application of deep learning algorithms and conventional machine learning algorithms for predicting reservoir inflow. …”
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Nomadic people optimizer (NPO) for large-scale optimization problems
Published 2019“…A Wilcoxon Signed-Rank Test was performed to measure the pair-wise statistical performances of the algorithms and from the results, NPO recorded a better statistical performance compared to the other benchmarking algorithms. …”
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Product Recommendation System (Targeted Recommendation using Deep Learning in Computer Vision)
Published 2023“…This report presents a project on developing a product recommendation system that utilizes facial recognition technology to predict a user's age and gender. …”
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Undergraduates Project Papers -
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Development of an Isolated Digit Speech Recognition Based on Multilayer Perceptron Model
Published 2004“…A Multilayer perceptron (MLP) is a popular NN model used in ASR field. In this study, a MLP with back propagation learning algorithm is implemented to perform the isolated digit speech recognition task for Malay language. …”
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Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof
Published 2019“…In the algorithm development a step-by-step example of the algorithm implementation is presented and then successfully implemented in Lego Mindstorm obstacle avoiding mobile robot as a proof of concept implementation of the hybrid AI algorithm. …”
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Postal address handwritten recognition using convolutional neural network / Nur Hasyimah Abd Aziz
Published 2020“…Next, the system was successfully developed by implementing the best CNN model as a classifier. …”
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Three-term backpropagation algorithm for classification problem
Published 2006“…Standard Backpropagation Algorithm (BP) is a widely used algorithm in training Neural Network that is proven to be very successful in many diverse application. …”
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Influence of molasses residue on treatment of cow manure in an anaerobic filter with perforated weed membrane and a conventional reactor: variations of organic loading and a mac...
Published 2023“…Meanwhile, two sets of ANN models were developed, using feedforward back propagation. The FO model provided the best fit with Root Mean Square Error (RMSE) (57.204) and correlation coefficient (R2 ) 0.94035. …”
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Monitoring water quality in Pusu river using Internet of Things (IoT) and Machine Learning (ML)
Published 2024“…Nine proven classification algorithms were applied to the datasets, successfully classifying the water quality conditions with up to 98% accuracy. …”
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Optimizing in-car-abandoned children’s sounds detection using deep learning algorithms / Nur Atiqah Izzati Md Fisol
Published 2023“…Ultimately, the successful implementation of this model can lead to a substantial reduction in child abandonment cases and promote safer transportation practices for children.…”
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Student Project -
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Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms
Published 2008“…This algorithm has been tested and implemented successfully via a dual beam optical scanning system.…”
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13
Machine learning and deep learning approaches for cybersecurity: a review
Published 2022“…It discusses recent machine learning and deep learning work with various network implementations, applications, algorithms, learning approaches, and datasets to develop an operational intrusion detection system.…”
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An assessment of sedimentation in Terengganu River, Malaysia using satellite imagery
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Assessing the outcome of Competencies Level from Knowledge-Based Project
Published 2008“…Attheend, it will generate the outcome which said to be the Success Rate of the Learning process. Therefore, we shall now have the alternative way in order to provide the more accuracy assessment of the success rate , in Percentage, ofthe learning process at thelearning centre which we have chosen Halliburton Excellence Centre to be our client. …”
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Final Year Project -
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Corona fault detection in switchgear with extreme learning machine
Published 2023“…In this research, a fault detection system is proposed with the implementation of Extreme Learning Machine (ELM). This algorithm is capable to identify faults in switchgear by analyzing the sound wave generated. …”
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Hand blood vessels pattern recognition
Published 2023“…This research contributes to the field by being the first to implement transfer learning on the NTUIFDB v1 dataset and provides a baseline for future studies to improve the proposed model. …”
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Final Year Project / Dissertation / Thesis -
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A framework for multi-backpropagation
Published 2003“…Backpropagation algorithm is one of the most popular learning algorithms in the Neural Network. …”
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Motion learning using spatio-temporal neural network
Published 2020“…In this study, learning is implemented on a reward basis without the need for learning targets.The algorithm has shown good potential in learning motion trajectory particularly in noisy and dynamic settings. …”
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A block cipher based on genetic algorithm
Published 2016“…In many algorithms which are based on the genetic algorithm approach, diffusion properties using crossover and mutation function are being generated to produce a secure data transmission. …”
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