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1
Safe avoidance path detection using multi sensor integration for small unmanned aerial vehicle
Published 2018“…In the experiment conducted, we successfully detect and create a safe avoidance path for both situations. …”
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Proceeding Paper -
2
MOBILE ROBOT
Published 2004“…Extended functions of the microcontroller is to create a 2Dterrain map, and plan its path to any specified target point. These are to be achieved by Voronoi Diagram or Delaunay Triangulation method for mapping, and a combination of one or more of the Dijkstra, Bellman, Ford, Moore, Johnson, Floyd-Warshal, or A* algorithms for best path calculation. …”
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Final Year Project -
3
Sensor based line follower self-driving car (sCar) with Obstacles Avoidance
Published 2016“…We develop a Collision Avoidance path-planning Algorithm (CAA) for dual motors controller line follower sCar that has ability for navigate collision avoidance path autonomously through a constraint track from initial position to goal position. …”
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Article -
4
Obstacle detection technique using multi sensor integration for small unmanned aerial vehicle
Published 2017“…In the experiment conducted, we successfully detect and determine a safe avoidance path for the UAV on 6 different sizes and textures of the obstacles including textureless obstacles…”
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Article -
5
Safe avoidance region detection for unmanned aerial vehicle using cues from expansion of feature points
Published 2024“…A robust system should be able to not only detect obstacles but the free region for the avoidance path as well. …”
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Conference or Workshop Item -
6
Wi-Fi signal strengths database construction for indoor positioning systems using Wi-Fi RFID
Published 2013“…Whenever there are significant changes in signal levels detected, server will initiate database reconstruction procedure. …”
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Conference or Workshop Item -
7
Object tracing from synthetic fluid spray through instance segmentation
Published 2024“…The resulting objects were then analyzed using a customized nearest neighbor algorithm to calculate their correspondence between frames and a BFS algorithm was used to trace their movement path. …”
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Thesis -
8
Enhancement processing time and accuracy training via significant parameters in the batch BP algorithm
Published 2020“…We created the dynamic learning rate and dynamic momentum factor for increasing the efficiency of the algorithm. …”
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Article -
9
A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Thesis -
10
Modeling time series data using Genetic Algorithm based on Backpropagation Neural network
Published 2018“…This study showed the task of optimizing the topology structure and the parameter values (e.g., weights) used in the BPNN learning algorithm by using the GA. …”
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Thesis -
11
Prediction models of heritage building based on machine learning / Nur Shahirah Ja'afar
Published 2021“…These algorithms were developed by using prewar shophouses dataset from 2004 until 2018 based on factors of heritage properties. …”
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Thesis -
12
Learning Algorithm effect on Multilayer Feed Forward Artificial Neural Network performance in image coding
Published 2007“…One of the essential factors that affect the performance of Artificial Neural Networks is the learning algorithm. …”
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Article -
13
Optimization of chest X-ray exposure factors using machine learning algorithm
Published 2023“…In this study, the chest X-ray exposure factors for 178 patients with different body mass index (BMI) values have been analyzed using the Python Machine Learning algorithm. …”
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Article -
14
A bayesian network approach to identify factors affecting learning of Additional Mathematics
Published 2015“…Constraint-based algorithms and score-based algorithms are used to generate the networks into several categories to compare and identify the strong relationships among the factors that affect the students’ learning of the subject. …”
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Article -
15
Three-term backpropagation algorithm for classification problem
Published 2006“…This algorithm utilizes two term parameters which are Learning Rate, α and Momentum Factor,β. …”
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Thesis -
16
An improved teaching-learning-based optimization for extreme learning machine in floating photovoltaic power forecasting
Published 2025“…This study presents an improved teaching-learning-based optimization algorithm with extreme learning machine for floating photovoltaic power forecasting. …”
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Article -
17
Reverse migration prediction model based on machine learning / Azreen Anuar
Published 2024“…A significant way to minimize the errors is by using a machine learning approach that can predict reverse migration intelligently depending on the tested dataset. …”
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Thesis -
18
A comparative study of deep learning algorithms in univariate and multivariate forecasting of the Malaysian stock market
Published 2023“…This study aims to develop a univariate and multivariate stock market forecasting model using three deep learning algorithms and compare the performance of those models. …”
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Prediction of life expectancy for Asian population using machine learning ALGORITHMS / Nurul Shahira Pisal, Shuzlina Abdul-Rahman, Mastura Hanafiah and Saidatul Izyanie Kamarudin
Published 2022“…This study presents machine learning algorithms for life expectancy based on the Asian population dataset. …”
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Article -
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Comparison of machine learning algorithms for estimating mangrove age using sentinel 2A at Pulau Tuba, Kedah, Malaysia / Fareena Faris Francis Singaram
Published 2021“…Therefore, this study aimed to used OBIA method with selected machine learning algorithm to estimate the mangrove age by using Sentinel 2A image. …”
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Thesis
