Search Results - (( motion automation based algorithm ) OR ( wave optimization system algorithm ))
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Optimizing the efficiency of Oscillating Water Column (OWC) wave energy converter using genetic algorithm
Published 2015“…This paper, describes a method to maximize the pneumatic system efficiency using optimization technique based on Genetic algorithm. …”
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Low computational complexity for optimizing energy efficiency in mm-wave hybrid precoding system for 5G
Published 2021“…Millimeter-wave (mm-wave) communication is the spectral frontier to meet the anticipated significant volume of high data traffic processing in next-generation systems. …”
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Low computational complexity for optimizing energy efficiency in mm-wave hybrid precoding system for 5G
Published 2021“…Millimeter-wave (mm-wave) communication is the spectral frontier to meet the anticipated significant volume of high data traffic processing in next-generation systems. …”
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MotionSure: a cloud-based algorithm for detection of injected object in data in motion
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Automated content sizing using accelerometer
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Automated threshold detection for object segmentation in colour image
Published 2016“…In solving this issue, this paper presents an Automated Threshold Detection Algorithm, H(•). The algorithm is applied in segmenting human lower limbs from a series of image frames of human walking. …”
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Optimized controllers for stabilizing the frequency changes in hybrid wind-photovoltaic-wave energy-based maritime microgrid systems
Published 2024“…Furthermore, an Archimedes optimization algorithm (AOA) is used to optimize the 2DOF-TIDN controller. …”
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Detection and Classification of Moving Objects for an Automated Surveillance System
Published 2006“…A completely automated system means a computer will perform the entire task from low level detection to higher level motion analysis. …”
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Detection and classification of moving objects for an automated surveillance system
Published 2006“…A completely automated system means a computer will perforin the entire task from low level detection to higher level motion analysis. …”
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Detection and classification of moving objects for an automated surveillance system
Published 2006“…A completely automated system means a computer will perforin the entire task from low level detection to higher level motion analysis. …”
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On the spectra efficiency of low-complexity and resolution hybrid precoding and combining transceivers for mmWave MIMO systems
Published 2019“…T Millimeter wave (mmWave) multiple-input-multiple-output (MIMO) systems will almost certainly use hybrid precoding to realize beamforming with few numbers of RF chains to reduce energy consumption, but require low complexity technique to improve spectral efficiency. …”
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Water wave optimization with deep learning driven smart grid stability prediction
Published 2022“…In this background, the current study introduces a novel Water Wave Optimization with Optimal Deep Learning Driven Smart Grid Stability Prediction (WWOODL-SGSP) model. …”
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Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks
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CPG-based control system for flexible snake robot locomotion
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Proceeding Paper -
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Design and Fabrication of Smart Home With Internet of Things Enabled Automation System
Published 2019“…Therefore, this study presents a cost-effective and hybrid (local and remote) IoT-based home automation system with a user-friendly interface for smartphones and laptops. …”
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Improved abnormal detection using self-adaptive social force model for visual surveillance
Published 2017“…Based on these results, it can conclude that the high magnitudes of interaction forces portray the abnormality in the scene and Self-Adaptive SFM is well-performed on crime scene with the rapid motion characteristic.…”
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Efficient and scalable ant colony optimization based WSN routing protocol for IoT
Published 2020“…For this reason, many intelligent systems have been utilized to design routing algorithms to handle the network's dynamic state. …”
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Abnormal event detection in video surveillance / Lim Mei Kuan
Published 2014“…Conventional sampling-based predictors often assume that motion is governed by a Gaussian distribution. …”
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