Search Results - (( (feature OR features) extraction path algorithm ) OR ( java simulation optimization algorithm ))
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Whale Optimisation Freeman Chain Code (WO-FCC) extraction algorithm for handwritten character recognition
Published 2021“…In this paper, we propose a metaheuristic method for feature extraction algorithm with Whale Optimisation Algorithm (WOA) based HCR. …”
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2
Feature extraction: hand shape, hand position and hand trajectory path
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3
NN with DTW-FF Coefficients and Pitch Feature for Speaker Recognition
Published 2006“…This paper proposes a new method to extract speech features in a warping path using dynamic programming (DP). …”
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4
Local DTW coefficients and pitch feature for back-propagation NN digits recognition
Published 2006“…This paper presents a method to extract existing speech features in dynamic time warping path which originally was derived from LPC. …”
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5
Local DTW Coefficients and Pitch Feature for Back-Propagation NN Digits Recognition
Published 2006“…This paper presents a method to extract existing speech features in dynamic time warping path which originally was derived from LPC. …”
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6
A YOLO-based deep learning model for Real-Time face mask detection via drone surveillance in public spaces
Published 2024“…The feature enhancement task is performed by applying the Path Aggregation Network (PANet) and Spatial Pyramid Pooling Network (SPPNet) algorithms, which are deployed to enhance the extracted and generated features. …”
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Deep Learning-Based Geomagnetic Navigation Method Integrated with Dead Reckoning
Published 2023“…First, a multidimensional geomagnetic feature extraction method is presented which can extract magnetic features from spatial and temporal aspects. …”
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Very Large Scale Integration Cell Based Path Extractor For Physical To Layout Mapping In Fault Isolation Work
Published 2017“…This development and study of the path extract method carries significance in areas of EDA and debug diagnosis work.…”
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9
Online Mapping-Based Navigation System for Wheeled Mobile Robot in Road Following and Roundabout
Published 2018“…A road mapping and feature extraction for mobile robot navigation in road roundabout and road following environments is presented in this chapter. …”
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Book Chapter -
10
Sensors Fusion based Online Mapping and Features Extraction of Mobile Robot in the Road Following and Roundabout
Published 2016“…A road feature extraction based mapping system using a sensor fusion technique for mobile robot navigation in road environments is presented in this paper. …”
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11
Magnetic resonance imaging sense reconstruction system using FPGA / Muhammad Faisal Siddiqui
Published 2016“…Firstly, fast DWT is employed to extract the salient features of MRI images, followed by PCA, which reduces the dimensions of the features. …”
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12
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…The simulation is implemented with iFogSim and java programming language. …”
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Classification Analysis Of High Frequency Stress Wave For Autonomous Detection Of Defect In Steel Tubes
Published 2014“…Interpretation of propagated high frequency stress wave signals in steel tubes is noteworthy for defect identification.This paper demonstrated a successful new approach for autonomous defect detection in steel tubes using classification analysis of high frequency stress waves.Classification analysis using Principal Component Analysis (PCA) algorithm involved feature extraction to reduce the dimensionality of the complex stress waves propagation path.Two defective tubes containing a slot defect of different orientation and a reference tube are inspected using Vibration Impact Acoustic Emission (VIAE) technique.The tubes are externally excited using impact hammer.The variation of stress wave transmission path are captured by high frequency Acoustic Emission sensor.The propagated stress waves in the steel tubes are classified using PCA algorithm.Classification results are graphically illustrated using a dendrogram that demonstrated the arrangement of the natural clusters of the stress wave signals.The inspection of steel tubes showed good recognition of defect in circumferential and longitudinal orientation.This approach successfully classified stress wave signals from VIAE testing and provide fast and accurate defect identification of defective steel tubes from non-defective tubes. …”
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15
Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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16
Slam-based mapping for object recognition
Published 2018“…The SIFT (Scale-Invariant Feature Transform) is used to extract features from the current frame and match with the object database to identify and recognize the object whenever the robot come across the object. …”
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Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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Monograph -
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Obstacle detection for Unmanned Aerial Vehicle (UAV)
Published 2022“…This study aims to develop an obstacle detection system for unmanned aerial vehicles utilising the ORB feature extraction. In the past, small unmanned aerial vehicles (UAV) were typically equipped with vision-based or range-based sensors. …”
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Animal voice recognition for identification (ID) detection system
Published 2011“…MFCC is used for the process of feature extraction where a more compact and less redundant of the representative voice can be obtained from the input voice. …”
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20
Dog voice identification (ID) for detection system
Published 2012“…MFCC is used for the process of feature extraction where a more compact and less redundant of the representative voice can be obtained from the input voice. …”
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