Search Results - (( mobile application swarm algorithm ) OR ( based optimization means algorithm ))*
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Resource-Efficient Coverage Path Planning for UAV-Based Aerial IoT Gateway
Published 2023“…As a result, the Energy Efficient Coverage Path Planning (EECPP) algorithm has been proposed. The EECPP is composed of two algorithms: the Stop Point Prediction Algorithm using K-Means, and Path Planning Algorithm using Particle Swarm Optimization. …”
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Resource-efficient coverage path planning for unmanned aerial vehicle based aerial gateway in LoRaWAN
Published 2022“…Due to finite resource, multiple issues need to be considered in designing such system, including AG flight time, coverage radius and the achievable data rate of the ground-to-air system, thus an Energy Efficient Coverage Path Planning (EECPP) algorithm has been proposed. EECPP consist of two algorithms which is Stop Point Prediction Algorithm using K-Means, which finding the stop point for the AG after grouping the IDs into clusters, and Path Planning Algorithm using Particle Swarm Optimization which connect all of the stop point in shortest route. …”
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A centralized localization algorithm for prolonging the lifetime of wireless sensor networks using particle swarm optimization in the existence of obstacles
Published 2017“…Particle Swarm Optimization has been used in the proposed algorithm to minimize the fitness function. …”
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Improvement and application of particle swarm optimization algorithm
Published 2025“…Particle Swarm Optimization (PSO) remains straightforward and has many scientific and engineering applications. …”
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A green clustering protocol for mobile sensor network using particle swarm optimization
Published 2016“…In this paper, we propose a green clustering protocol for mobile sensor networks using particle swarm optimization (PSO) algorithm. …”
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A green clustering protocol for mobile sensor network using particle swarm optimization
Published 2016“…In this paper, we propose a green clustering protocol for mobile sensor networks using particle swarm optimization (PSO) algorithm. …”
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Multi-Agent Reinforcement Learning For Swarm Robots Formation
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Monograph -
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Non-probabilistic approach to cooperative position tracking in large swarm of simple mobile robots using triangular cross-observation
Published 2013“…Many applications in mobile robotics require that the accurate position of the mobile robots to be known. …”
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Therefore, in this paper, we proposed Dynamic tasks scheduling algorithm based on attribute reduction with an enhanced hybrid Genetic Algorithm and Particle Swarm Optimization for optimal device selection. …”
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Particle Swarm Optimization for Bluetooth Scatternet Formation
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Indoor localization system using particle swarm optimization
Published 2015“…Location based services have been used in many mobile applications as well as wireless sensor networks. …”
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Performance evaluation of PID controller optimisation for wheel mobile robot using Bat based optimisation algorithm
Published 2022“…Applications of mobile robots cover both industrial and domestic area. …”
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Book Chapter -
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Improved Malware detection model with Apriori Association rule and particle swarm optimization
Published 2019“…These rule models are used together with extraction algorithm to classify and detect malicious android application. …”
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Multi-Robot Learning with Bat Algorithm With Mutation (Bam)
Published 2022“…Multiple techniques like swarm optimization, cuckoo algorithm and other such algorithms are under study for multi robotic systems. …”
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Undergraduates Project Papers -
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Advancements and challenges in mobile robot navigation: a comprehensive review of algorithms and potential for self-learning approaches
Published 2024“…In this review paper, a comprehensive review of mobile robot navigation algorithms has been conducted. …”
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Bio-inspired for Features Optimization and Malware Detection
Published 2018“…A static analysis technique with machine learning classifier is developed from the permission features noted in the Android mobile device for detecting the malware applications. …”
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