Search Results - (( rate detection sensor algorithm ) OR ( based optimization method algorithm ))
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New global maximum power point tracking and modular voltage equalizer topology for partially shaded photovoltaic system / Immad Shams
Published 2022“…In terms of controller-based, in this work, a new global maximum power point tracking (GMPPT) algorithm based on a modified butterfly optimization algorithm (MBOA) has been proposed. …”
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Defect detection of GFRP composites through long pulse thermography using an uncooled microbolometer infrared camera
Published 2024“…The TC success rate reached 0.91 for detecting FBH depth defects in raw images, which improved significantly after post-processing using Canny edge detection and Hough circle detection algorithms. This study underscores the potential of optimized LPT as a cost-effective and reliable method for detecting defects in GFRP composites.…”
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Online teleoperation of writing manipulator through graphics processing unit based accelerated stereo vision
Published 2021“…Like most sensors stereo camera readings are susceptible to noise due to lighting conditions and detection errors. …”
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Framework for stream clustering of trajectories based on temporal micro clustering technique
Published 2018“…A comprehensive experimental analysis was conducted to evaluate the efficiency and effectiveness of the proposed algorithms (ONF-TRS, CC-TRS). The results shows that the algorithm ONF-TRS has low computational cost and high compression rate as compared with the existing works. …”
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A performance comparison study of pattern recognition systems for volatile organic compounds detection / Emilia Noorsal, Muhammad Khusairi Osman and Norfadzilah Mokhtar
Published 2007“…The optimum structure of the neural network was determined by trial and error method to obtain the optimized hidden neuron and weight values. …”
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Research Reports -
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Algorithm enhancement for host-based intrusion detection system using discriminant analysis
Published 2004“…Misuse detection algorithms model know attack behavior. They compare sensor data to attack patterns learned from the training data. …”
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Multi-sensor fusion based on multiple classifier systems for human activity identification
Published 2019“…The aim of this study is to propose an innovative multi-sensor fusion framework to improve human activity detection performances and reduce misrecognition rate. …”
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A study on advanced statistical analysis for network anomaly detection
Published 2005“…Misuse detection algorithms model know attack behavior. They compare sensor data to attack patterns learned from the training data. …”
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Monograph -
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DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS
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Final Year Project -
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DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS
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Final Year Project -
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Obstacle detection for Unmanned Aerial Vehicle (UAV)
Published 2022“…In real-time experiment, the success rate for good texture (40%), poor texture (55%) and texture-less (45%) The findings indicate that the recommended method works well for detecting textures-less obstacle even though the success rate is only 40% because out of 10 test only one test is fail on detecting free region. …”
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Safe avoidance path detection using multi sensor integration for small unmanned aerial vehicle
Published 2018“…In this paper, a combination of both sensors based is proposed for a small UAV obstacle detection system. …”
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Proceeding Paper -
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Cooperative multi agents for intelligent intrusion detection and prevention systems / Shahaboddin Shamshirband
Published 2014“…This thesis evaluates the proposed solution using flooding attacks in wireless sensor networks (i.e. a type of DDoS attack). In order to measure the evaluation, several performance metrics, such as frequency of convergence of the detection scheme, accuracy of detection, false alarm rate, defence rate and energy consumption, are addressed as part of detection and prevention scheme. …”
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HUMAN MOTION ANALYSIS IN VIDEO SURVEILLANCE SYSTEM
Published 2019“…The effect of video quality on human detection rate is discussed in Chapter 4. In a human detection, the software is represented by algorithms, in which algorithm also being used in the process of training the dataset. …”
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Iot health monitoring system for self quarantined covid-19 patients
Published 2022“…In this invention, if a person falls, the action can be detected because there are several sensors to detect movement. …”
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Undergraduates Project Papers -
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Detecting sybil attacks in clustered wireless sensor networks based on energy trust system (ETS)
Published 2017“…Then, a trust algorithm is applied based on the energy of each sensor node. …”
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Implementation of haar cascade classifier and eye aspect ratio for driver drowsiness detection using raspberry pi
Published 2019“…To achieve the aim of the research, the Haar Cascade Classifier algorithm is implemented for eyes and face detection whereas for eyes blink (open and close) detection, the Eye Aspect Ratio (EAR) algorithm is employed. …”
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