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Graph processing hardware accelerator for shortest path algorithms in nanometer very large-scale integration interconnect routing
Published 2007“…This thesis proposes a graph processing hardware accelerator for shortest path algorithms applied in nanometer VLSI interconnect routing problems. …”
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Thesis -
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Online Mapping-Based Navigation System for Wheeled Mobile Robot in Road Following and Roundabout
Published 2018“…The local maps are developed using an image’s preprocessing and processing algorithms and an artificial threshold of LRF signal processing to recognize the road environment parameters such as road curbs, width, and roundabout. …”
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Book Chapter -
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Direct approach for mining association rules from structured XML data
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Developing and validating a simulation model for counting and classification of vehicles
Published 2016“…An algorithm system approach has been presented for extracting traffic data using video image processing. …”
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Feature extraction: hand shape, hand position and hand trajectory path
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Book Chapter -
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Autonomous road roundabout detection and navigation system for smart vehicles and cities using laser simulator–fuzzy logic algorithms and sensor fusion
Published 2020“…The path generation algorithm was fully derived within the local maps and tested with a WMR platform in real-time.…”
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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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Quantum Processing Framework And Hybrid Algorithms For Routing Problems
Published 2010“…A typical component in QPU is a quantum device that runs quantum algorithms; namely Quantum Algorithm Processing Unit (QAPU). …”
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Thesis -
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Prevention And Detection Mechanism For Security In Passive Rfid System
Published 2013“…A GUI is created in a form of JAVA application to display data detected from tag. …”
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10
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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Conference or Workshop Item -
11
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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12
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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13
Automatic generation of content security policy to mitigate cross site scripting
Published 2016“…The algorithm is implemented as a plugin. It does not interfere with the web application original code. …”
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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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15
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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16
Oil Palm Yield Data Collection Using Image Processing
Published 2021“…In the area of image processing, this job involves different techniques such as pre-processing, feature extraction and ANN. …”
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Final Year Project / Dissertation / Thesis -
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A review of slicing techniques in software engineering
Published 2015“…Process of model based slicing is utilized to extract the desired lump out of slice diagram. …”
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Proceeding Paper -
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Obstacle detection for Unmanned Aerial Vehicle (UAV)
Published 2022“…Due to physical size restrictions and payload capacity, the lightweight Pi Camera and TF Luna LiDAR sensor were selected as the most suitable sensors for integration. In algorithm development and filtration is used to improve the accuracy of the feature matching process, which is required for classifying the obstacle region and free region of any texture obstacle. …”
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