Search Results - (( developing improving inclusion algorithm ) OR ( java implication based algorithm ))
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A Systematic Review of Metaheuristic Algorithms in Human Activity Recognition : Applications, Trends, and Challenges
Published 2025“…A comprehensive search across multiple databases yielded 27 studies that met the inclusion criteria. The analysis revealed that Genetic Algorithms (GA) exhibit classification accuracy rates ranging from 88.25% to 96.00% in activity recognition and up to 90.63% in localization tasks. …”
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Enhancing XSS vulnerability detection and removal in web applications using genetic algorithms
Published 2024“…Consequently, the objectives of the research have been met and the expected results were achieved. This new improved approach is significant in helping web application developers to test their applications for all types of XSS and remove any detected vulnerabilities before releasing them to the public. …”
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Development of a user-adaptable human fall detection based on fall risk levels using depth sensor
Published 2018“…The inclusion of the fall risk level identification, further enhanced and improved the accuracy of the fall detection. …”
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Development of a user-adaptable human fall detection based on fall risk levels using depth sensor
Published 2018“…The inclusion of the fall risk level identification, further enhanced and improved the accuracy of the fall detection. …”
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Evaluation of optimal cooling control for seeded batch crystallization inclusive dissolution with uncertainties
Published 2020“…The mathematical model for potassium nitrate crystallization inclusive dissolution phenomena was developed and simulated in Matlab software. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Artificial neural controller synthesis for TORCS
Published 2015“…There are few crucial issues that could improve off-line gameplay. Storyline, level of difficulty, rewards, reinforcement used, gaming strategy, and the inclusion of None-Player Character (NPC). …”
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Systematic Review of Enhancement of Artificial Bee Colony Algorithm Using Ant Colony Pheromone
Published 2023“…The artificial bee colony (ABC) is a well-studied algorithm developed to solve continuous function optimization problems by Karboga and Akay in 2009. …”
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Reliability assessment of power system generation adequacy with wind power using population-based intelligent search methods
Published 2017“…Based on this analysis, it was found that, with the inclusion of wind power from both sites, the reliability indices had slightly improved the reliability of RBTS.…”
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Banana recognition system using convolutional neural network / Mohamad Shafiq Rosli
Published 2021“…The value of deep learning has led to the inclusion of project development activities in computer science course. …”
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HSO: A hybrid swarm optimization algorithm for reducing energy consumption in the cloudlets
Published 2018“…The simulation studies also showed a reduction in the number of required calculations by about 20% by the inclusion of the presented algorithms compared to the traditional static approach. …”
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Adaptive artificial neural network for power system security assessment and control action
Published 2012“…This technique is used to improve the performance and to develop a software tool which is integrated with PSS™E software for contingency analysis. …”
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Hybrid neural network in medicolegal degree of injury determination based on Visum et Repertum
Published 2023“…The HNNM is expected to determine either the persecution victim having a minor, moderate, or serious injury which inclusively mention in Indonesian Penal Code. HNNM is developed based on the case studies at three hospitals in Pekanbaru comprise three main phases which are pre-processing, development, and performance analysis. …”
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Mortality prediction in critically ill patients using machine learning score
Published 2020“…The aim of this study is to develop a machine learning (ML) based algorithm to improve the prediction of patient mortality for Malaysian ICU and evaluate the algorithm to determine whether it improves mortality prediction relative to the Simplified Acute Physiology Score (SAPS II) and Sequential Organ Failure Assessment Score (SOFA) scores. …”
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Proceeding Paper -
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Mortality prediction in critically ill patients using machine learning score
Published 2020“…The aim of this study is to develop a machine learning (ML) based algorithm to improve the prediction of patient mortality for Malaysian ICU and evaluate the algorithm to determine whether it improves mortality prediction relative to the Simplified Acute Physiology Score (SAPS II) and Sequential Organ Failure Assessment Score (SOFA) scores. …”
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Mobile application for sign language learning with real time feedback
Published 2024“…However, limited accessibility of sign language education poses barriers to social inclusion and awareness. This project proposes developing an innovative mobile application for interactive sign language learning to benefit both Deaf individuals and hearing loss individuals globally. …”
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Final Year Project / Dissertation / Thesis
