Search Results - (( direct solution learning algorithm ) OR ( java application optimisation algorithm ))
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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PMT : opposition based learning technique for enhancing metaheuristic algorithms performance
Published 2020“…Considering only one direction can be problematic as the best solution may come in any of a multitude of directions. …”
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Support directional shifting vector: A direction based machine learning classifier
Published 2021“…Machine learning models have been very popular nowadays for providing rigorous solutions to complicated real-life problems. …”
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Bi-Directional Monte Carlo Tree Search
Published 2021“…Furthermore, Bi-Directional Search has been applied to a Reinforcement Learning algorithm. …”
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Analytical Study Of Machine Learning Models For Stock Trading In Malaysian Market
Published 2024“…Nowadays, Machine Learning (ML) can serve as one of the solutions to accelerate the process of decision-making in forecasting daily stock market price movements. …”
thesis::master thesis -
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Wavelet neural networks based solutions for elliptic partial differential equations with improved butterfly optimization algorithm training
Published 2020“…Although the gradient information of the commonly used gradient descent training algorithm in WNNs may direct the search to optimal weight solutions that minimize the error function, the learning process is slow due to the complex calculation of the partial derivatives. …”
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PMT: opposition-based learning technique for enhancing meta-heuristic performance
Published 2019“…Unlike existing OBL-based techniques, the PMT generates more than one candidate in multiple solution-space directions. To evaluate the PMT's performance and adaptability, the PMT has been applied to four contemporary meta-heuristic algorithms, differential evolution (DE), particle swarm optimization (PSO), simulated annealing (SA), and whale optimization algorithm (WOA), to solve 15 well-known benchmark functions. …”
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Traffic signal control with deep reinforcement learning
Published 2025“…With numerous efforts and research in this area, the methods have evolved from transportation theory to deep reinforcement learning (DRL) approaches over the years. This report presents extensive research on various direction in this domain and identifies the gap of previous research and real-world deployment. …”
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Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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A new variant of black hole algorithm based on multi population and levy flight for clustering problem
Published 2020“…Black Hole (BH) optimization algorithm has been underlined as a solution for data clustering problems. …”
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Systematic review of intrusion detection system based on machine learning techniques for internet of things
Published 2023“…Finally, based on the findings of the review, some important research directions were identified. We highlighted the most efficient machine learning algorithms and feature selection techniques, along with strategies to address issues related to dataset imbalance in benchmarked datasets, with the goal of fostering the development of robust IDS solutions for IoT security.…”
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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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A systematic review of machine learning techniques and applications in soil improvement using green materials
Published 2023“…The current study aims to comprehensively evaluate recent breakthroughs in machine learning algorithms for soil improvement using a systematic procedure known as PRISMA and meta-analysis. …”
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Inertia weight strategies in GbLN-PSO for optimum solution
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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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Tracing active power between generators and loads for transmission open access
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An adaptive opposition-based learning selection: The case for jaya algorithm
Published 2021“…Over the years, opposition-based Learning (OBL) technique has been proven to effectively enhance the convergence of meta-heuristic algorithms. …”
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A systematic review of machine learning techniques and applications in soil improvement using green materials
Published 2023“…The current study aims to comprehensively evaluate recent breakthroughs in machine learning algorithms for soil improvement using a systematic procedure known as PRISMA and meta-analysis. …”
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Monitoring of wildlife using unmanned aerial vehicle (UAV) with machine learning
Published 2024“…The combination of UAVs and ML provides efficient and effective solutions for wildlife monitoring. UAVs with high-resolution cameras record airborne footage, while machine learning algorithms automate animal detection, tracking, and behavior analysis. …”
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