Search Results - (( after implementation tree algorithm ) OR ( java application sensor algorithm ))
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1
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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2
An optimized attack tree model for security test case planning and generation
Published 2018“…By leveraging on the optimized attack tree algorithm used in this research work, the threat model produces efficient test plans from which adequate test cases are derived to ensure a secured web application is designed, implemented and deployed. …”
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3
Predicting Student Performance in Object Oriented Programming Using Decision Tree : A Case at Kolej Poly-Tech Mara, Kuantan
Published 2013“…The objective was to identify and implement the most accurate algorithm for the KPTM dataset and to come up with a good prediction model using decision tree technique. …”
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4
An object-based approach to detect tree stumps in a selective logging area using Unmanned Aerial Vehicle imagery
Published 2021“…This research implemented a technique for detecting, segmenting, classifying, and measuring tree stumps by using the Multiresolution Segmentation Algorithm method. …”
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Design Of Robot Motion Planning Algorithm For Wall Following Robot
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Monograph -
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Online Clothing Shopbots via Web Content Extraction / Nurul Syazwani Ramzi
Published 2017“…These block tree is constructed by using DOM (document object model) tree. …”
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Cyberbullying detection: a machine learning approach
Published 2022“…The machine learning algorithm, Support Vector Machine was chosen after comparing it with other algorithms such as Multinomial Naïve Bayes, Decision Tree Classifier, and Random Forest Classifier. …”
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Final Year Project / Dissertation / Thesis -
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An Integrated Principal Component Analysis And Weighted Apriori-T Algorithm For Imbalanced Data Root Cause Analysis
Published 2016“…In conclusion, the proposed algorithm is able to overcome the rare item issue by implementing covariance based support value normalization and high computational costs issue by implementing indexing enumeration tree structure.Future work of this study should focus on rule interpretation to generate more human understandable rule by novice in data mining. …”
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9
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 -
10
Image segmentation for songket motif / Zati Iwani Zaharudin
Published 2007“…After process of comparing the three methods of image segmentation; region growing, edge detection and watershed segmentation, most appropriate method has been chosen and implemented it in prototype module. …”
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11
Dynamic scene occlusion culling in architectural scenes based on dynamic bounding volume
Published 2006“…In this thesis, the aim of the research carried out, is to handle dynamic objects efficiently with faster frame rate display. This algorithm is implemented using portal occlusion culling and kD-tree, which is suitable for indoor and architectural scenes. …”
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Recommendation System Model For Decision Making in the E-Commerce Application
Published 2024thesis::doctoral thesis -
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Water optimization technique for precision irrigation system using IoT and machine learning
Published 2022“…After implementation of proposed work, for single banana tree 31.4 of the water requirement has been optimized in 2020 time period. …”
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Phishing attack detection using machine learning method
Published 2019“…The study of this algorithm is made thoroughly and the methods in implementing this algorithm have been discussed in detail. …”
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Undergraduates Project Papers -
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A conceptual model for the E-commerce application recommendation framework using exploratory search
Published 2024journal::journal article -
16
Classification of water quality using artificial neural network
Published 2020“…Then, the model performance was compared with the k-NN and Decision Tree models. The results obtained after training and testing the network showed that ANN performed better than to k-NN and Decision Tree model with the values of accuracy, sensitivity, precision and RMSE is 95.24%, 93.51%, 94.43% and 0.207 respectively. …”
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17
Discovering decision algorithm of distance protective relay based on rough set theory and rule quality measure
Published 2011“…The discovered decision algorithm and association rule from the Rough-Set based data mining had been compared with and successfully validated by those discovered using the benchmarking Decision-Tree based data mining strategy. …”
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18
Exploring frogeye leaf spot disease severity in soybean through hyperspectral data analysis and machine learning with Orange Data Mining
Published 2025“…Results: Based on the findings, neural network scored the highest overall accuracy of 98.6% after conducting filtering technique. Furthermore, reliefF-Gradient boosting and random forest algorithms achieved promising overall accuracy of 97.4% and 96.9%, respectively after implementing filtering and feature selection techniques. …”
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Design & Development of a Robotic System Using LEGO Mindstorm
Published 2006“…Since the model is built using LEGO bricks, the model is fully customized, in term of its applications, to perform any relevant tasks. Ultimately, the algorithm development program designed earlier is linked up directly to the robotic model for program implementation and verification. …”
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Conference or Workshop Item -
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Data mining for structural damage identification using hybrid artificial neural network based algorithm for beam and slab girder / Meisam Gordan
Published 2020“…After evaluating the results of these algorithms, a hybrid Artificial Neural Network-based Imperial Competitive Algorithm (ANN-ICA) was presented in the deployment step of the proposed methodology to identify the structural damage of illustrative structures. …”
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