Search Results - (( learning application status algorithm ) OR ( java application customization algorithm ))
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A study on classification learning algorithms to predict crime status.
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A review of object detection in traffic scenes based on deep learning
Published 2024“…This survey is based on the theory of deep learning. It systematically summarizes the Development and current research status of object detection algorithms, and compare the characteristics, advantages and disadvantages of the two types of algorithms. …”
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Propose a New Machine Learning Algorithm based on Cancer Diagnosis
Published 2018“…In this review, we focus on the current status of machine learning applications in cancer research, also propose a new algorithm Fast Learning Network to work based on cancer research.…”
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Poverty Classification of Central Perak Population Using Machine Learning
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Final Year Project -
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Prediction of Fetal Health Status Using Machine Learning
Published 2024“…The results of this study demonstrate how machine learning algorithms can accurately forecast fetal health status. …”
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ANALYSIS OF BIOSENSOR PHYSIOLOGICAL SIGNALS FOR ASSESSMENT OF NEUROLOGICAL STATUS
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Final Year Project -
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Automated model selection for corporation credit risk assessment using machine learning / Zulkifli Halim
Published 2023“…Corporation Credit Risk Assessment (CCRA) depends on the financial indicators representing the companies' status at a given time. Nowadays, machine learning is a significant field used in various applications, including the financial domain. …”
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A network aware based recommender system for VOIP application service in eLearning environment / Nazdiana Ab. Wahab
Published 2009“…Therefore, this dissertation work, proposed a network based recommender that could be used in the application of VOIP services in eLearning environment. …”
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Algorithm comparison for data mining classification: assessing bank customer credit scoring default risk
Published 2024“…Despite advances in machine learning models for credit assessment, unbalanced datasets and some algorithms’ failure to explain forecasts remain major issues. …”
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Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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Development of deep reinforcement learning based resource allocation techniques in cloud radio access network
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A comprehensive review of crop yield prediction using machine learning approaches with special emphasis on palm oil yield prediction
Published 2021“…Then, the critical evaluation of the state-of-the-art machine learning-based crop yield prediction, machine learning application in the palm oil industry and comparative analysis of related studies are presented. …”
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Intelligent technique for grading tropical fruit using magnetic resonance imaging
Published 2013“…The features extracted from Magnetic Resonance Imaging (MRI), using any of the two proposed methods, were applied as an input to train artificial neural network (ANN) in order to predict the orange fruit status. Different structures of multi-layer perceptron neural networks with feed-forward and back-propagation learning algorithms were developed using MATLAB. …”
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ECG peak recognition using Artificial Neural Network / Sharifah Saliha Syed Bahrom and Leong Jenn Hwai.
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Parking finder mobile application
Published 2025“…This project proposes a Parking Finder Mobile Application that will provide real-time information about parking space availability and the parking finding status of vehicles in the parking lot. …”
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A study on regional GDP forecasting analysis based on radial basis function neural network with genetic algorithm (RBFNN-GA) for Shandong economy
Published 2022“…This study uses the genetic algorithm radial basis, neural network model, to make judgments on the relationships contained in this sequence and compare and analyze the prediction effect and generalization ability of the model to verify the applicability of the genetic algorithm radial basis, neural network model, based on the modeling of historical data, which may contain linear and nonlinear relationships by itself, so this study uses the genetic algorithm radial basis, neural network model, to make, compare, and analyze judgments on the relationships contained in this sequence.…”
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