Search Results - (("waste detection algorithm") OR ("pattern recognition algorithm"))
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Handoff scheme for terrestrial mobile and satellite convergence networks with incorporation of pattern recognition algorithm
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A Divide-and-Distribute Approach to Single-Cycle Learning HGN Network for Pattern Recognition
Published 2010“…Distributed Hierarchical Graph Neuron (DHGN) is a single-cycle learning distributed pattern recognition algorithm, which reduces the computational complexity of existing pattern recognition algorithms by distributing the recognition process into smaller clusters. …”
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E-nose for basal stem rot detection
Published 2010“…An e-nose consists of an array of sensors, signal collecting unit(s) and suitable pattern recognition algorithm.…”
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Pattern Recognition for Human Diseases Classification in Spectral Analysis
Published 2022“…To conclude, many pattern recognition algorithms have the potential to overcome each of their distinct limits, and there is also the option of combining all of these algorithms to create an ensemble of methods.…”
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EEG artifact signals tracking and filtering in real time for command control application
Published 2011“…In this paper, an attempt in made to present initial steps on a non-invasive BMI design based on pattern recognition algorithm method on EEG signals. These artifact signals are converted to command signals to control and steer an external object. …”
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The application of neural network data mining algorithm into mixed pixel classification in geographic information system environment
Published 2007“…This , paper discusses the development of data mining and pattern recognition algorithm to handle the complexity of hyperspectral remote sensing images in Geographical Information Systems environment. …”
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Animal voice recognition for identification (ID) detection system
Published 2011“…In this paper, an animal identification (ID) detection system based on animal voice pattern recognition algorithm has been developed. The developed animal voice recognition system uses the zero-cross-rate (ZCR), Mel-Frequency Cepstral Coefficients (MFCC) and Dynamic Time Warping (DTW) joint algorithms as the tools for recognizing the voice of the particular animal. …”
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Laser-induced backscattering imaging for classification of seeded and seedless watermelons
Published 2017“…Three multivariate pattern recognition algorithms were used including linear discriminant analysis (LDA), quadratic discriminant analysis (QDA), and k-nearest neighbour (kNN). …”
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Dog voice identification (ID) for detection system
Published 2012“…In this paper, an animal identification (ID) detection system based on animal voice pattern recognition algorithm has been developed. The developed animal voice recognition system uses the zero-cross-rate (ZCR), Mel-Frequency Cepstral Coefficients (MFCC) and Dynamic Time Warping (DTW) joint algorithms as the tools for recognizing the voice of the particular animal. …”
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Object with symmetrical pattern recognition with dynamic size filter
Published 2011“…This paper presents the implementation of object with symmetrical pattern recognition algorithm for 2D vision system of 3D vision-based multi sensor feedback system. …”
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P2P-Based Image Recognition for Component Tracking in a Large Engineering Domain
Published 2011“…Multi-Wheel Graph Neuron (mWGN) is a single-cycle, light-weight, and scalable associative-memory-based pattern recognition algorithm, and has been implemented over a structured P2P network. …”
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HEp-2 cell images classification based on statistical texture analysis and fuzzy logic
Published 2014“…This paper proposes a pattern recognition algorithm consisting of statistical methods to extract seven textural features from the HEp-2 cell images followed by classification of staining patterns by using fuzzy logic. …”
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Distributed Multi-Feature Recognition Scheme for Greyscale Images
Published 2011“…Distributed Hierarchical Graph Neuron (DHGN) is a distributed single-cycle learning pattern recognition algorithm that can scale from coarse-grained to fine-grained networks and it has comparable accuracy to contemporary image recognition schemes. …”
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Design and analysis of DNA sequence alignment module using Smith-Waterman scoring patterns / Wan Abdul Qayyum Moh Salleh
Published 2013“…The system optimizes the aligning DNA fragment using Smith-Waterman algorithm with a pattern recognition algorithm. FPGA design, synthesis and simulation are done using the Xilinx ISE software and obtain the RTL schematic as well as the waveform of the module. …”
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Design and analysis of DNA sequence alignment module using Smith-Waterman scoring pattern: article / Wan Abdul Qayyum Moh Salleh and A.K. Halim
Published 2013“…The system optimizes the aligning DNA fragment using Smith-Waterman algorithm with a pattern recognition algorithm. FPGA design, synthesis and simulation are done using the Xilinx ISE software and obtain the RTL schematic as well as the waveform of the module. …”
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The development of an automated pattern recognition based on neural network / Irni Hamiza Hamzah, Mohammad Nizam Ibrahim and Linda Mohd Kasim
Published 2006“….: CCD cameras, microphones and scanners) have fostered the development of pattern recognition algorithms in new application domains (i.e.: fuzzy logic, neural network and genetic algorithm). …”
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