Search Results - (( process identification tree algorithm ) OR ( java application stemming algorithm ))
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Arabic Speaker Identification System for Forensic Authentication Using K-NN Algorithm
Published 2023Conference Paper -
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Improved random forest for feature selection in writer identification
Published 2015“…An algorithm and framework of Improved Random Forest (IRF) tree was applied for feature selection process. …”
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Thesis -
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The stopping rules for winsorized tree
Published 2017“…Winsorized tree is a modified tree-based classifier that is able to investigate and to handle all outliers in all nodes along the process of constructing the tree.It overcomes the tedious process of constructing a classical tree where the splitting of branches and pruning go concurrently so that the constructed tree would not grow bushy. …”
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Detection of multiple mangoes using histogram of oriented gradient technique in aerial monitoring
Published 2016“…As a result, the rate of production and the structure of the tree will be dampening. Hence, usage of image processing algorithm could be a solution for a better and more precise mango’s pre-harvesting process. …”
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Data Classification and Its Application in Credit Card Approval
Published 2004“…This project is involved with identification of the available algorithms used in data classification and the implementation of C4.5 decision tree induction algorithm in solving the data classifying task. …”
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Final Year Project -
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Correlation analysis and predictive performance based on KNN and decision tree with augmented reality for nuclear primary cooling process / Ahmad Azhari Mohamad Nor
Published 2024“…Practical algorithms incorporating k-nearest neighbour and decision tree models with quantifiable performance metrics are proposed to streamline and optimise the maintenance process. …”
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Crown counting and mapping of missing oil palm tree using airborne imaging system
Published 2019“…In Malaysia, there are plenty of large-scale oil palm plantations, but the counting of oil palm trees and missing trees processes are still manually done which is time consuming and costly. …”
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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“…In the modeling phase, amongst all DM algorithms, the applicability of machine learning, artificial intelligence and statistical data mining techniques were examined using Support Vector Machine (SVM), Artificial Neural Network (ANN) and Classification and Regression Tree (CART) to detect the hidden patterns in vibration data. …”
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Tree species and aboveground biomass estimation using machine learning, hyperspectral and LiDAR data / Nik Ahmad Faris Nik Effendi
Published 2022“…However, the identification process of tree species and AGB estimation in tropical forest is quite challenging either by traditional or remote sensing methods due to the structure of forest type. …”
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Complex word identification model for lexical simplification in the Malay language for non-native speakers
Published 2023“…This study consists of three modules, i) A Malay CWI dataset, ii) Malay CWI features with the new enhanced stemmer rules, and iii) A CWI model based on the Gradient Boosted Tree (GB) algorithm. The model is evaluated based on a state-of-the-art Malay corpus. …”
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Secure Access To Authorized Resources Based On Fingerprint Authentication
Published 2003“…The database can be manipulated (insertion, retrieving, and deletion) rapidly using the Adelson Velskii and Landis (AVL) tree searching technique. The A VL tree is used to increase the compression ratio as its compression algorithm works efficiently for all types of data. …”
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Analysis of banana plant health using machine learning techniques
Published 2024“…The need for enhanced disease identification processes is highlighted by the results of the survey. …”
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An Intelligent System Approach to the Dynamic Hybrid Robot Control
Published 1996“…A one-pass smoothing algorithm was used to generate a practical smooth trajectory path in near real time. …”
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The Contribution of Feature Selection and Morphological Operation For On-Line Business System’s Image Classification
Published 2015“…With the explosive growth of methods in this research area, this paper proposes 5 processing steps before image annotation using Amazon dataset, i.e., image segmentation, object identification, feature extraction, feature selection and image features classification. …”
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Applying machine learning and particle swarm optimization for predictive modeling and cost optimization in construction project management
Published 2024“…This study examines the utilization of different Machine Learning algorithms, such as Linear Regression, Decision Trees, Support Vector Machines (SVM), Gradient Boosting, Random Forest, K-Nearest Neighbors (KNN), Convolutional Neural Network (CNN) Regression, and Particle Swarm Optimization (PSO), in the domain of predictive modeling and cost optimization in the field of construction project management. …”
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Classification Modeling for Malaysian Blooming Flower Images Using Neural Networks
Published 2013“…Nevertheless, the developed flower model can be used as part of the Malaysian Blooming Flower recognition system in the future where the colours and texture are needed in the flower identification process.…”
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