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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Final Year Project -
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Development of Simulated Annealing Based Scheduling Algorithm for Two Machines Flow Shop Problem
Published 2015“…It is expected that the developed algorithm will perform well if not a par with Johnson’s algorithm…”
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Machine Learning Algorithm for Malware Detection: Taxonomy, Current Challenges, and Future Directions
Published 2024“…The research investigates malware and machine learning in the context of cybersecurity, including malware detection taxonomy and machine learning algorithm classification into numerous categories. …”
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Ant colony optimization algorithm for load balancing in grid computing
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Genetic-local hybrid optimizer for solving advance layout problem
Published 2006“…Advance Layout problem(ALP) is used to search for an optimal layout of machines. This research describes a novel method, based on genetic algorithms(GA) to solve the machine layout problem, where developing machine layout is an important step designing manufacturing, renovation of factories, distribution centers, hospitals, banks, department stores, military supply, depots, universities, etc. …”
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Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT
Published 2006“…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
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Thesis -
12
Green building valuation based on machine learning algorithms / Thuraiya Mohd ... [et al.]
Published 2021“…In the cycle of Industrial Revolution 4.0 (IR 4.0), many issues in the industries can be solved with implementation of artificial intelligence approaches, including machine learning models. Designing an effective machine learning model for prediction and classification problems is a continuous effort. …”
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PREDICTING THE PRICE OF COTTON USING RNN AND LSTM
Published 2020“…The accuracy of each machine learning algorithm will be recorded and analyze to come up with the best model for the dataset. …”
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Final Year Project -
15
Conceptual instrumentation of washing machine for conformity to the Islamic laws of Syarak
Published 2013“…With the concept of algorithm system and integrated into the washing machine, the continuous running water will be subjected during the initial wash and spin option. …”
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Development of key-dependent dynamic S-Boxes with dynamic irreducible polynomial and affine constant
Published 2018“…In recent years, the need to develop advanced information technology systems in the area of mechanical engineering has been growing continuously to deliver better product quality at reduced cost. …”
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Examination timetabling using genetic algorithm case study: KUiTTHO
Published 2005“…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
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Wireless water quality cloud monitoring system with self-healing algorithm
Published 2017“…Favoriot is a platform for IoT and machine-to-machine (M2M) development. For this project, Favoriot platform is used for real time data. …”
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Prediction of COVID-19 outbreak using Support Vector Machine / Muhammad Qayyum Mohd Azman
Published 2024“…This research significantly contributes to the understanding of machine learning applications in the context of COVID-19 outbreak prediction, emphasizing the importance of algorithm and configuration selections for robust forecasting. …”
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Thesis -
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Machine learning and deep learning approaches for cybersecurity: a review
Published 2022“…It discusses recent machine learning and deep learning work with various network implementations, applications, algorithms, learning approaches, and datasets to develop an operational intrusion detection system.…”
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