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Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process
Published 2004“…An Intelligent Learning System for the turning process was developed. …”
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Optimize and deploy machine learning algorithms on embedded devices for manufacturing applications
Published 2025“…This proposal discusses the techniques of optimizing and deploying machine learning algorithms on embedded devices for manufacturing applications; We investigate problems of printed circuit board (PCB) defects and artificial intelligence in embedded system. …”
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A Novel Path Prediction Strategy for Tracking Intelligent Travelers
Published 2009“…A novel decision support system (DSS) is devised with the ability of learning decisional as well as kinematical behaviors of intelligent travelers. …”
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User song preferences using preference learning in artificial intelligence
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An intelligent framework for modelling and active vibration control of flexible structures
Published 2004“…Parametric and non-parametric modelling of such systems is investigated. Parametric approaches include linear parametric modelling of the system using recursive least squares (RLS) and genetic algorithms (GAS); and non-parametric approaches include multi-layered perceptron neural networks (MLP-NNs) and adaptive neuro-fuzzy inference systems (ANFIS) are employed. …”
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Hidden markov model for decision making among heterogeneous systems in intelligent building
Published 2014“…The inability of systems, devices and sensors to interoperate is the main drawback in intelligent building. …”
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Machine learning and deep learning approaches for cybersecurity: a review
Published 2022“…As a result, an effective intrusion detection system was required to protect data, and the discovery of artificial intelligence’s sub-fields, machine learning, and deep learning, was one of the most successful ways to address this problem. …”
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Coalition of genetic algorithms and artificial neural network for isolated spoken Malay speech recognition / Noraini Seman
Published 2012“…Genetic Algorithm (GA) based learning technique provides an alternative way that involves controlling the learning complexity by adjusting the number of weights of the ANN. …”
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Book Section -
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A collaborative filtering approach using machine learning and business intelligence: a critical review
Published 2025“…This study provides a critical analysis of a collaborative filtering technique that uses machine learning and business intelligence (BI) to improve e-commerce recommendation systems. …”
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Ensemble Dual Algorithm Using RBF Recursive Learning for Partial Linear Network
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Intelligent image noise types recognition and denoising system using deep learning / Khaw Hui Ying
Published 2019“…An ensemble of these algorithms is an intelligent and adaptive solution, producing a clean output, while preserving significant pixel information. …”
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What’s the fuss about artificial intelligence (AI) tools? / Nur Zania Azurin Abdullah Sani and Ahmad Shazeer Mohamed Thaheer
Published 2023“…Midjourney AI is a type of AI technology that uses machine learning algorithms to generate high-quality images and videos from textual descriptions. …”
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Dyslexia handwriting detection using Convolutional Neural Network (CNN) algorithm / Sofea Najihah Mohd Zaki
Published 2024“…The handwriting style is a simple way to detect the most common dyslexia sign. Many computational and intelligent techniques have been put forward, and they provided a variety of outcomes to assess the recommended system's effectiveness. …”
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Model rangkaian neural bagi penentuan gaya pembelajaran pelajar berasaskan model Felder-Silverman
Published 2022“…Artificial intelligence models are built based on neural network algorithms and the supervised machine learning technique. …”
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Computer vision for zoo animals using YOLO algorithm / Muaz Wazir
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Development of a genetic algorithm controller for cartesian robot
Published 2008“…Finally, the developed algorithm will been tested and implemented into in this Cartesian robot system.…”
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Underwater Image Recognition using Machine Learning
Published 2024“…A Convolutional Neural Network (CNN) is a type of a deep learned an algorithm that has been created for image processing when using convolutional layers to automatically and in a hierarchical way learn features from the input images. …”
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