Search Results - (( data estimation method algorithm ) OR ( automatic identification method algorithm ))
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Age detection from face using Convolutional Neural Network (CNN) / Hanin Hanisah Usok @ Yusoff
Published 2024“…Following a thorough examination of numerous algorithms, CNN was determined to be the best effective method for age recognition from facial features due to its ability to automatically extract important data. …”
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Self-Adaptive Autoreclosing Scheme usingI Artificial Neural Network and Taguchi's Methodology in Extra High Voltage Transmission Systems
Published 2009“…The fault identification prior to reclosing is based on optimized artificial neural network associated with three training algorithms, namely, Standard Error Back-Propagation, Levenberg Marquardt and Resilient Back-Propagation algorithms. …”
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3
Fault Detection and Identification in Quadrotor System (Quadrotor Robot)
Published 2016“…The information will then be fed to Artificial Neural Network (ANN), which consist of a bank of parameter estimation that generates the failure state. This Artificial Neural Network (ANN) is an algorithm that is used to determine the type of fault and the severity level as well as isolate the fault from the system. …”
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Embedded Dual Band Rfid Based Blood Glucose Monitoring System For Internet Of Medical Things
Published 2020“…In order to reduce the risks of error for patients with diabetes, a new design of wireless blood glucose monitoring system with the embedment of dual band RFID for Internet of Medical Things is being developed. Using this method, passive RFID allows short-range communication to read automatically the patient identification number and active RFID extends long-range communication for recording and monitoring blood glucose data through multi-hop WSN. …”
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Applications of contemporary artificial intelligence technology in forensic odontology as primary forensic identifier : A scoping review
Published 2022“…Background: Forensic odontology may require a visual or clinical method during identification. Sometimes it may require forensic experts to refer to the existing technique to identify individuals, for example, by using the atlas to estimate the dental age. …”
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Artifact identification for blood pressure and photoplethysmography signals in an unsupervised environment / Lim Pooi Khoon
Published 2020“…Upon using the artifact detection method followed by BP estimation, the SBP and DBP were improved in BHS grades from D to A. …”
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7
Real time self-calibration algorithm of pressure sensor for robotic hand glove system
Published 2019“…The proposed method was achieved using one-hour calibration data set of pressure sensor in real time. …”
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8
Improved genetic algorithm for direct current motor high speed controller implemented on field programmable gate array
Published 2019“…Firstly, to propose an accurate TF for the tested DC motors by designing High Speed Motor Data Acquisition System (HSMDAQS) to collect data in data to be imported into System Identification (Sys Ident). …”
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9
Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions
Published 2019“…Recently, deep learning algorithms for automatic feature representation have also been proposed to lessen the burden of reliance on handcrafted features and to increase performance accuracy. …”
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Control of grain drying process using self-tuning quantitative feedback theory
Published 2011“…A laboratory scale conveyor belt type grain dryer was specially fabricated for this study. System identification technique which utilised experimental input/output data was used to model the grain dryer plant. …”
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12
Multichannel optimization with hybrid spectral- entropy markers for gender identification enhancement of emotional-based EEGs
Published 2021“…Secondly, it aims to develop an automatic gender recognition model by employing optimization algorithms to identify the most effective channels for gender identification from emotional-based EEG signals. …”
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Automatic identification of epileptic seizures from EEG signals using sparse representation-based classification
Published 2020“…Compared to state-of-the-art algorithms and other common methods, our method outperformed them in terms of sensitivity, specificity, and accuracy. …”
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Crown counting and mapping of missing oil palm tree using airborne imaging system
Published 2019“…A graphical user interface by using MATLAB language was created based on the best executed method to aid users in counting the trees automatically. …”
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15
Smart Cards And The Fingerprint : A Proposed Framework For The Automatic Teller Machine (ATM) System
Published 2002“…This research believes that no single security method, algorithm, key or procedure is entirely secure. …”
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16
The efficacy of deep learning algorithm in classifying chilli plant growth stages
Published 2021“…The demand in this field has created various opportunities, especially for automatic classification using deep learning methods. …”
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Fault identification in pipeline system using normalized hilbert huang transform and automatic selection of intrinsic mode function
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Real-time system identification of an unmanned quadcopter system using fully tuned radial basis function neural networks
Published 2021“…To prevent the neurons and network parameters selection dilemma during trial and error approach, RBF with EMRAN training algorithm is proposed. This automatic tuning algorithm will implement the network growing and pruning method to add or eliminate neurons in the RBF. …”
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Semiparametric inference procedure for the accelarated failure time model with interval-censored data
Published 2019“…The rank-based methods, estimating algorithms, and resampling techniques that are developed do not involve the difficulties of the existing estimating procedures. …”
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Real-time system identification of an unmanned quadcopter system using fully tuned radial basis function neural networks
Published 2021“…To prevent the neurons and network parameters selection dilemma during trial and error approach, RBF with EMRAN training algorithm is proposed. This automatic tuning algorithm will implement the network growing and pruning method to add or eliminate neurons in the RBF. …”
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