Search Results - (( data identification using algorithm ) OR ( data visualization _ algorithm ))
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An improved plant identification system by Fuzzy c-means bag of visual words model and sparse coding
Published 2020“…This demonstrate the intensity of the correlation between that aspect of data and a specific cluster. In the classic Bag of visual words model, the Fuzzy c-means algorithm is replaced with K-means and the accuracy of SIFT matching is increased. …”
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2
Data mining based damage identification using imperialist competitive algorithm and artificial neural network
Published 2018“…Currently, visual inspections for damage identification of structures are broadly used. …”
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3
Tag clouds algorithm with the inclusion of personality traits
Published 2015“…This algorithm is beneficial for decision making using information visualization in which personality traits of the user are heavily inclined. …”
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Flow regime identification of particles conveying in pneumatic pipeline using electric charge tomography and neural network techniques
Published 2006“…A high speed data acquisition card DAS1800HC is used to interface the sensors to a personal computer which processes the data using linear back projection algorithm (LBPA) and filtered back projection algorithm (FBPA). …”
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5
The application of neural network data mining algorithm into mixed pixel classification in geographic information system environment
Published 2007“…The hyperspectral image also offers unique applications such as terrain delimitations, object detection, material identification, and atmospheric characterization. However, hyperspectral image systems produce large data sets that are not easily interpretable by visual analysis and therefore require automated processing algorithm. …”
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Damage visualization based on frequency shift of single-mode ultrasound-guided wavefield
Published 2022“…In principle, the spatio-temporal wavefield data is transformed into the wavenumber-temporal domain and filtering is then performed using Boxcar window before mapping the data. …”
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Musical instrument identification using Convolutional Neural Network (CNN) algorithm / Muhammad Nur Azri Irfan Abdul Rahman
Published 2025“…This approach tried to overcome the limitations of the manual method and traditional algorithm, which tends to fail with the diverse dataset, diverse visual features, and scalability. …”
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Enhanced 3D terrain visualization process using game engine
Published 2018“…The main finding of this study is the new algorithm of enhancing 3D terrain visualization process using Unity3D game engine. …”
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9
Automated data process in participatory sensing using QR-code and EAN-13 barcode
Published 2018“…The enhanced algorithm was evaluated using a developed prototype which is an Android mobile application of a crowdsourcing data submission based on product price and information, WE+Price, in which, the algorithm was embedded. …”
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10
Hazard identification on fractionation column using rule based expert system
Published 2001“…The process-specific knowledge, which consists of process operation data and the process flow sheet, has been constructed using a HYSIS process simulator. …”
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11
Transient analysis for leak signature identification based on Hilbert Huang transform and integrated kurtosis algorithm for z-notch filter technique
Published 2018“…Signal processing is an important tool to analyse non-stationary and non linear data. Many techniques of analysis are available to process non stationary and non-linear data such as FFT, wavelets transform, and demodulation analysis. …”
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12
Cabbage disease detection system using k-NN algorithm
Published 2022“…Finally, the KNN algorithm will be used to classify the disease based on sample nature and a cabbage disease data set. …”
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Classification of labour pain using electroencephalogram signal based on wavelet method / Sai Chong Yeh
Published 2020“…The training and parameters selection of the machine learning algorithms are conducted using EEG data collected from ten subjects in the laboratory. …”
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14
Imaging spectroscopy and light detection and ranging data fusion for urban features extraction
Published 2013“…The result of the study shows that fusion of imaging spectroscopy and LiDAR data improved the visual identification of surface features. …”
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Defects identification on semiconductor wafer for yield improvement using machine learning / Pedram Tabatabaeemoshiri
Published 2025“…This work presents a novel graph-based semi-supervised learning (GSSL) algorithm designed for wafer defect detection. The proposed methodology involves collecting wafer inspection data, extracting relevant features, and applying the GSSL algorithm to identify the hidden defects. …”
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16
Hardware Software Partitioning Using Particle Swarm Optimization (PSO) In Image Processing Application
Published 2018“…Then the data will be processed in MATLAB using PSO algorithm to determine the optimal result in partitioning. …”
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A Hybrid Artificial Intelligence Model for Detecting Keratoconus
Published 2023“…Several machine learning models have been proposed to detect KCN, however most of the models are supervised and thus require large well-annotated data. This paper proposes a new unsupervised model to detect KCN, based on adapted flower pollination algorithm (FPA) and the k-means algorithm. …”
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Angle Based Protein Tertiary Structure Prediction Using Bees Optimization Algorithm
Published 2010“…WEKA program application was used for main chain angles (Phi and Psi) data classification. …”
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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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Identifying suicidal ideation through twitter sentiment analysis using Naïve Bayes / Annasuha Atie Atirah Alias
Published 2023“…The goal is to empower suicide prevention organizations and concerned individuals with an efficient and accessible means of taking timely actions toward individuals at risk. The result of the data analysis is visualized into a web application system to enable the analysis results to be interpretable and readable by the user using Plotly visualization tool. …”
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