Search Results - (( storage optimization sensor algorithm ) OR ( parameter optimization max algorithm ))*
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Data Encryption-Enabled Cloud Cost Optimization and Energy Efficiency-Based Border Security Model
Published 2024Subjects:Article -
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Optimizing Cloud Storage Costs: Introducing the Pre-Evaluation-Based Cost Optimization (PECSCO) Mechanism
Published 2025Subjects:Conference paper -
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Reactive approach for automating exploration and exploitation in ant colony optimization
Published 2016“…Ant colony optimization (ACO) algorithms can be used to solve nondeterministic polynomial hard problems. …”
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Thesis -
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Ant colony optimization in dynamic environments
Published 2010“…The last objective of this thesis is to optimize the parameter settings of the best performing ant algorithm with local search. …”
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Thesis -
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Improvement of Centralized Routing and Scheduling Using Cross-Layer Design and Multi-Slot Assignment in Wimax Mesh Networks
Published 2009“…This thesis proposes an optimized strategy namely cross-layer design in routing algorithms used find the best route for all SSs and scheduling algorithms, used to assign a time slot for each possible node transmission. …”
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Prediction and multi-criteria-based schemes for seamless handover mechanism in mobile WiMAX networks
Published 2013“…It reduces the number of handovers by 29.7% and 26.9%, respectively, compared to the conventional RSSI based handover algorithm and the previous worked, mobility improved handover (MIHO) algorithm. …”
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Prolonging lifetime of wireless sensor networks with mobile base station using particle swarm optimization
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Working Paper -
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Enhancing wireless sensor network data collection through aerial unmanned vehicles
Published 2024“…This research sheds light on these algorithms' vital role in addressing the pressing challenges of data gathering and network performance optimization in wireless sensor networks…”
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Proceeding Paper -
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Electric vehicle battery state of charge estimation using metaheuristic-optimized CatBoost algorithms
Published 2025“…A comprehensive data preprocessing pipeline was implemented, including missing value treatment, outlier removal, and feature normalization using Min-Max scaling. Three distinct metaheuristic algorithms were investigated: Barnacles Mating Optimizer (BMO), Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Whale Optimization Algorithm (WOA), each integrated with CatBoost to optimize critical parameters including learning rate, tree depth, regularization, and bagging temperature. …”
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Article -
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Human presence detection system
Published 2024“…Moreover, the project delves into the critical aspect of determining optimal delay intervals for sensor status checks. …”
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Final Year Project / Dissertation / Thesis -
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Single Fitness Function to Optimize Energy using Genetic Algorithms for Wireless Sensor Network
Published 2024journal::journal article -
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An Electrocardiogram-Based Authentication Protocol In Wireless Body Area Network
Published 2016“…While the result of FFT algorithm summarizes that the number of the common FFT peak location index for sensors on the same subject is significantly higher compared to the number of common feature for sensors on different subjects.…”
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Thesis -
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SENSORY EXPERT: DEVICE FOR SENSORY TEST
Published 2018“…The data is then sent to a Gmail as a storage by developing algorithm in Wi-Fi module NodeMCU ESP8266. …”
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Final Year Project -
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Differential Search Optimized Random Forest Regression Algorithm for State of Charge Estimation in Electric Vehicle Batteries
Published 2023Conference Paper -
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Performance Analysis of Routing Protocols in Wireless Sensor Networks
Published 2014“…WSNs are limited by energy, storage capability and power consumption. Therefore, it is important to consider these limitations while choosing routing protocols for WSN. …”
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Final Year Project -
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Design Optimization of a Gas Turbine Engine for Marine Applications: Off-Design Performance and Control System Considerations
Published 2022“…Meta-heuristic optimizations, namely a genetic algorithm (GA) and a whale optimization algorithm (WOA), are applied to optimize the designed control system. …”
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