Search Results - (( data application using algorithm ) OR ( automatic identification using algorithm ))
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Automatic clustering of generalized regression neural network by similarity index based fuzzy c-means clustering
Published 2004“…This algorithm offers better performance than conventional algorithm which using energy only. …”
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Study Of Modified Training Algorithm For Optimized Convergence Speed Of Neural Network
Published 2016“…First proposed algorithm is the combination of momentum algorithm with adaptive learning rate (ALR) algorithm, and second proposed algorithm is the combination of momentum algorithm with automatic learning rate selection (ALRS) algorithm. …”
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Self-Adaptive Autoreclosing Scheme usingI Artificial Neural Network and Taguchi's Methodology in Extra High Voltage Transmission Systems
Published 2009“…In addition, Taguchi's methodology is employed in optimizing the parameters of each algorithm used for training, and in deciding the number of hidden neurons of the neural network. …”
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4
Smart Cards And The Fingerprint : A Proposed Framework For The Automatic Teller Machine (ATM) System
Published 2002“…As a result, the research proposed a framework for user identification and authentication in automatic teller machine (ATM) systems using fingerprints and smart cards as opposed to the PIN and magnetic-stripe cards. …”
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Fault Detection and Identification in Quadrotor System (Quadrotor Robot)
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Analytical method for forensic investigation of social networking applications on smartphones
Published 2016“…The identified patterns are then used to design an algorithm for detecting social networking data remnants automatically. …”
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Performance comparison of classification algorithms for EEG-based remote epileptic seizure detection in wireless sensor networks
Published 2014“…Identification of epileptic seizure remotely by analyzing the electroencephalography (EEG) signal is very important for scalable sensor-based health systems.Classification is the most important technique for wide-ranging applications to categorize the items according to its features with respect to predefined set of classes.In this paper, we conduct a performance evaluation based on the noiseless and noisy EEG-based epileptic seizure data using various classification algorithms including BayesNet, DecisionTable, IBK, J48/C4.5, and VFI.The reconstructed and noisy EEG data are decomposed with discrete cosine transform into several sub-bands.In addition, some of statistical features are extracted from the wavelet coefficients to represent the whole EEG data inputs into the classifiers.Benchmark on widely used dataset is utilized for automatic epileptic seizure detection including both normal and epileptic EEG datasets.The classification accuracy results confirm that the selected classifiers have greater potentiality to identify the noisy epileptic disorders.…”
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Fault identification in pipeline system using normalized hilbert huang transform and automatic selection of intrinsic mode function
Published 2018“…This paper proposed to apply Integrated Kurtosis-based Algorithm for z-filter Technique (Ikaz) for that allows automatic selection of intrinsic mode function (IMF) that’s should be used. …”
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Video image processing for traffic analysis
Published 1992“…The main aim was to develop a system for automatic vehicle data measurement and to extend its application to the collection and analysis of pedestrian data. …”
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Designing an integrated AIOT system for tracking class attendance
Published 2024“…The system is able to capture the students' real facial feature data, and uses it as a tool to achieve high-accuracy student identification. …”
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Final Year Project / Dissertation / Thesis -
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Vehicle Tracking using Video Cameras
Published 2013“…However, relying on human‟s eyes is not a reliable system as the technology now allows an automatic detection system. The „Vehicles Tracking System Using Video Cameras‟ is the basic solution to those problems. …”
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Optimization of RFID network planning for monitoring railway mechanical defects based on gradient-based Cuckoo search algorithm
Published 2020“…The Gradient-Based Cuckoo Search (GBCS) algorithm was used to achieve the final objective. …”
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A Genetic-CBR Approach for Cross-Document Relationship Identification
Published 2012“…GA is used to scale the weights of the data features used by the CBR classifier. …”
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Book Chapter -
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Embedded automated vision for double parking identification system
Published 2018“…A camera was utilized to acquire the image of a parking area, and the image was processed using Beaglebone Black processor. A computer vision algorithm was developed to process the image using background subtraction, region of interest identification, and color analysis. …”
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Multi-sensor fusion and deep learning framework for automatic human activity detection and health monitoring using motion sensor data / Henry Friday Nweke
Published 2019“…This is further worsen by the use of single sensors modality and machine learning algorithms. …”
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Embedded Dual Band Rfid Based Blood Glucose Monitoring System For Internet Of Medical Things
Published 2020“…These two parameters are then taken into account in experimental setup for performance evaluation of the enhanced CSMA/CA (EN-CSMA/CA) algorithm that uses an external interrupt mechanism and a cross layer approach. …”
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Applications of contemporary artificial intelligence technology in forensic odontology as primary forensic identifier : A scoping review
Published 2022“…Objective: This article aims to evaluate current artificial intelligence applications and discuss their performance concerning the algorithm architecture used in forensic odontology. …”
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