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Enhanced Intelligent Water Drops Algorithm for University Examination Timetabling Problems
Published 2024thesis::doctoral thesis -
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A hybrid approach for artificial immune recognition system / Mahmoud Reza Saybani
Published 2016“…Many researchers, who have developed methods and algorithms within the field of artificial intelligence, machine learning and data mining, have addressed extracting useful information from the data. …”
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E4ML: Educational Tool for Machine Learning
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Hybrid intelligent approach for network intrusion detection
Published 2015“…Clustering is the last step of processing before classification has been performed, using k-means algorithm. …”
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Intelligent auto tracking in 3D space by image processing
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Ethical concerns about the applications of artificial intelligence in healthcare practices: an explanatory review
Published 2021“…Though the use of artificial intelligence and machine-learning algorithms is rapidly growing in various healthcare practices with promising potentials, however the use of computer-generated applications in healthcare sector have raised certain ethical concerns about the safety and reliability of these applications. …”
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Artificial intelligence?powered electrochemical sensor: Recent advances, challenges, and prospects
Published 2025“…Still, they also pose challenges such as data privacy, sensor stability, and algorithmic bias. …”
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Domestic garbage target detection based on improved YOLOv5 algorithm
Published 2023“…Experiments have proved that the accuracy of intelligent classification reached 98.27%, which is 3.85% higher than the original algorithm. …”
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Mr image volume segmentation using neuro-fuzzy method / Ahmad Safwan Mohamed Makki
Published 2003“…This overcomes the shortcoming of both and can provide a robust and intelligent methodology for image analysis. This documentation is about the implementation of neuro-fuzzy approach using Fuzzy Hopfield Neural Network (FHNN) algorithm for the segmentation process of MR image data sets.…”
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IoT-Based intelligent system for headwater phenomenon detection and alerts using ESP32 / Rozan Boudville … [et al]
Published 2025“…This study presents an Internet of Things (IoT)-based intelligent monitoring and alert system for detecting headwater phenomena in real time. …”
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DSC722: Research Methodology / College of Computing, Informatics and Mathematics
Published 2020“…The topics of specific areas and trends in data. The areas include business intelligence, machine learning algorithms, big data analytics, and optimization and decision support systems. …”
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Botnet Detection in IoT Devices Using Random Forest Classifier with Independent Component Analysis
Published 2022“…Various machine learning algorithms were also implemented upon the processed data for comparative analysis. …”
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Frequent Lexicographic Algorithm for Mining Association Rules
Published 2005“…The recent progress in computer storage technology have enable many organisations to collect and store a huge amount of data which is lead to growing demand for new techniques that can intelligently transform massive data into useful information and knowledge. …”
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Hybrid Artificial Bees Colony Algorithms For Optimizing Carbon Nanotubes Characteristics
Published 2018“…Optimization is a crucial process to select the best parameters in single and multi-objective problems for manufacturing process.However,it is difficult to find an optimization algorithm that obtain the global optimum for every optimization problem.Artificial Bees Colony (ABC) is a well-known swarm intelligence algorithm in solving optimization problems.It has noticeably shown better performance compared to the state-of-art algorithms.This study proposes a novel hybrid ABC algorithm with β-Hill Climbing (βHC) technique (ABC-βHC) in order to enhance the exploitation and exploration process of the ABC in optimizing carbon nanotubes (CNTs) characteristics.CNTs are widely used in electronic and mechanical products due to its fascinating material with extraordinary mechanical,thermal,physical and electrical properties. …”
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Automated and high accuracy out-of-hospital heart diseases early detection system
Published 2017“…Before the classification can be performed, the intelligent classifier is trained using control data that contains 52 normal and 148 patients data. …”
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Enhancing electricity consumption forecasting in limited dataset: A simple stacked ensemble approach incorporating simple linear and support vector regression for Malaysia
Published 2025“…This article introduces a novel artificial intelligence (AI) time-series algorithm, a simple stacked ensemble of simple linear regression (SLR) and Support Vector Regression (SVR), designed to forecast Malaysia’s annual electricity consumption, particularly in scenarios with limited datasets utilizing the Cross Industry Standard Process for Data Mining (CRISP-DM) data science methodology. …”
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