Search Results - (( features extraction sensor algorithm ) OR ( storage optimization based algorithm ))
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Square groove detection based on forstner with canny edge operator using laser vision sensor
Published 2023“…This research addresses 1he feature extraction algorithm of 1he square weld groove to make weld seam recognition more accurate. …”
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Optimization algorithms for energy storage integrated microgrid performance enhancement
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Feature extraction and supervised learning for volatile organic compounds gas recognition
Published 2023“…This research project aims to investigate effective feature extraction techniques that can be employed as discriminative features for machine learning algorithms. …”
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Pumped-storage scheduling using particle swarm optimization / Amirul Asraf Razali
Published 2012“…This thesis presents the solution algorithm based on the particle swarm optimization (PSO) for solving the pumped-storage (P/S) scheduling problem. …”
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Wearable Sensor Feature Fusion for Human Activity Recognition (HAR) : A Proposed Classification Framework
Published 2022“…Due to the extensive feature engineering and human feature extraction required by traditional machine learning algorithms, they are time consuming to develop. …”
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Multi-sensor fusion based on multiple classifier systems for human activity identification
Published 2019“…To provide compact feature vector representation, we studied hybrid bio-inspired evolutionary search algorithm and correlation-based feature selection method and evaluate their impact on extracted feature vectors from individual sensor modality. …”
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Feature extraction from oil palm in vitro shoot images
Published 2010“…The feature extraction techniques are discussed in this article. …”
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Internet of Things (IoT) based activity recognition strategies in smart homes: a review
Published 2022“…This technique is challenged by the nature of IoT technology and perceived data, as well as by human differences, which necessitated additional processing tasks to select significant features for the learning algorithms. In this work, we focus our review on activity recognition implementation strategies by examining various sensors and sensing technologies used to collect useful data from IoT devices, reviewing preprocessing and feature extraction techniques, as well as classification algorithms used to recognize human activities in smart homes. …”
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Optimizing Cloud Storage Costs: Introducing the Pre-Evaluation-Based Cost Optimization (PECSCO) Mechanism
Published 2025“…Nonetheless, cloud service providers impose fees on users based on the volume of data transmitted to and from cloud storage, resulting in elevated storage costs. …”
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Multi-sensor fusion and deep learning framework for automatic human activity detection and health monitoring using motion sensor data / Henry Friday Nweke
Published 2019“…First, to investigate existing multi-sensor and automatic feature extraction methods for human activity detection and health monitoring using motion sensor. …”
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Optimized Intelligent Controller for Energy Storage based Microgrid towards Sustainable Energy Future
Published 2024“…The optimization of HES performance is achieved through fine-tuning of the proportional-integral (PI) controller using the particle swarm optimization (PSO) algorithm. …”
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The noise reduction algorithm for star detection
Published 2025“…This improvement in denoising leads to more precise centroid extraction, contributing to more reliable star sensor performance for space navigation applications…”
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Assessment of energy storage and renewable energy sources-based two-area microgrid system using optimized fractional order controllers
Published 2024“…Simulation results reveal that the AOA-based CFOID-FOPIDN outperforms other existing algorithms, such as particle swarm optimization (PSO), bat algorithm (BAT), moth flame optimization (MFO), and whale optimization algorithm (WOA). …”
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Switching Time Optimization via Time Optimal Control for Natural Gas Vehicle Refueling
Published 2007“…In this thesis, a refueling algorithm using Time Optimal Control (TOC) technique is proposed as a basis for determining the optimal switching time in NGV refueling using the mass and mass flowrate as the state variables, measured using Coriolis flowmeter. …”
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Investigating dam reservoir operation optimization using metaheuristic algorithms
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