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An optimized variant of machine learning algorithm for datadriven electrical energy efficiency management (D2EEM)
Published 2024“…The scope of this study is tri folded, First, an exhaustive and parametric comparative study on a wide variety of machine learning algorithms is presented to evaluate the performance of machine learning algorithms in energy load prediction. …”
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Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process
Published 2004“…Artificial Neural Network (ANN) was selected from Machine Learning Algorithms to be the learning algorithm. …”
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Prediction of COVID-19 outbreak using Support Vector Machine / Muhammad Qayyum Mohd Azman
Published 2024“…In response to the unprecedented challenges posed by the COVID-19 pandemic, this research project presents a systematic approach to outbreak prediction, specifically advocating for the implementation of Support Vector Machine (SVM) algorithms. The methodology integrates a thorough literature review, meticulous data collection from reliable sources, and rigorous data pre-processing to ensure the dataset's quality and relevance. …”
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A review of machine learning in hyperspectral imaging for food safety
Published 2025“…To address these limitations, advances in non-destructive monitoring techniques with the implementation of machine learning (ML) algorithms can be alternative solutions. …”
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Hybrid signal processing and machine learning algorithm for adaptive fault classification of wind farm integrated transmision line protection
Published 2019“…The technological advancement in integration of Renewable Green Energy Sources (RGES) like Wind Farm Generators (WFG), and Photovoltaic (PV) system into conventional power system as a future solution to meet the increase in global energy demands in order to reduce the cost of power generation, and improve on the climate change impact. …”
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Implementation And Performance Analysis Of Machine Learning Models For Detecting Phishing Attacks On Websites
Published 2023“…Then, a machine learning tool is selected to build machine learning models that use three different machine learning algorithms, which are Support Vector Machine, Random Forest, and XGBoost. …”
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Analytical fourier approximation of five-phase vector modulation voltage source inverter / Mohammad Afiq Othman
Published 2013“…Proper modelling of voltage source inverters is important in devising appropriate control algorithm. …”
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Analytical fourier approximation of five-phase vector modulation voltage source inverter : article / Mohammad Afiq Othman
Published 2013“…Proper modelling of voltage source inverters is important in devising appropriate control algorithm. …”
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Machine learning using robust AI techniques / Prof. Madya Dr. Nordin Abu Bakar
Published 2012“…Many algorithms have been applied to aid the assessment process. …”
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Research Reports -
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Distributed learning based energy-efficient operations in small cell networks
Published 2023“…The thesis proposed a solution that employs unique characteristics of machine learning and game-theoretic framework to enable a model-free and energy-efficient small cell network. …”
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Modelling of heuristic distribution algorithm to optimize flexible production scheduling in Indian industry
Published 2020“…In the present work, Two Heuristic Algorithms are modelled and the best algorithm among those two Heuristics is selected after few comparisons 3M to 5M, this can optimize the scheduling processes up to 10x10 jobs i.e. 10 machines and 10 jobs. …”
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Fast shot boundary detection based on separable moments and support vector machine
Published 2021“…Moreover, for the proposed SBD algorithm, a comparative study is performed with state-of-the-art algorithms. …”
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Utilizing artificial bee colony algorithm as feature selection method in Arabic text classification
Published 2023“…The ABC technique considers the chi square methods' chosen features as viable solutions (food sources). The ABC algorithm searches for the most efficient selection of features that increase classification performance. …”
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Effective source number enumeration approach under small snapshot numbers
Published 2024“…This study also makes a significant contribution to data science by providing a comprehensive method for estimating the number of signal sources, which is integrated with a machine learning model. …”
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Network bandwidth utilization based on collaborative web caching using machine learning algorithms in peer-to-peer systems for media web objects
Published 2018“…In this work, intelligent collaborative web caching approaches based on C4.5 decision tree and Naïve Bayes (NB) supervised machine learning algorithms are presented. The proposed approaches take the advantage of structured peer-to-peer systems where peers' caches contents are shared in order to enhance the performance of the web caching policy. …”
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Sentiment analysis on YouTube comments using machine learning techniques based on video games content
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Approaches to Multi-Objective Feature Selection: A Systematic Literature Review
Published 2020“…Feature selection is a popular problem in Machine learning with the goal of finding optimal features with increase accuracy. …”
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