Search Results - (( (quantile OR quantify) detection method algorithm ) OR ( java application during algorithm ))
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Anomaly behavior detection using flexible packet filtering and support vector machine algorithms
Published 2016“…However, these methods are limited to analyze the entire traffic as one entity, which makes them unable to quantify network anomalies. …”
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Development of optimized damage prediction method for health monitoring of ultra high performance fiber-reinforced concrete communication tower
Published 2018“…The results are used to develop the hybrid learning algorithm based on the AdaBoost, Bagging, and RUSBoost methods to predict the damage in the tower based on dynamic frequency domain. …”
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A simple model-free butterfly shape-based detection (BSD) method integrated with deep learning CNN for valve stiction detection and quantification
Published 2020“…A simple quantification algorithm based on BSD-convolutional neural network (BSD-CNN) framework is then developed to quantify the stiction severity. …”
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A review of machine learning in hyperspectral imaging for food safety
Published 2025“…Manual detection methods such as human visual inspection are not quantitative and could lead to inconsistencies in food safety assessments. …”
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Reliability study of L1-Norm Adjustment in examining the inconsistencies of cadastral record / Nur Alya Nasuha Azizan
Published 2023“…Later, actual cadastral records were used to assess the best adjustment method to detect information discrepancies in adjacent certified plans (CPs). …”
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7
Detection and Severity Identification of control valve stiction in industrial loops using integrated partially retrained CNN-PCA frameworks
Published 2021“…Recent neural network based stiction detection methods published are only able to perform either stiction detection or quantification, which open up an area of research to propose a simplified algorithm to simultaneously detect and quantify stiction with high generalization capability. …”
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8
SUDOKU HELPER
Published 2015“…In this paper research, author presents an algorithm to provide a tutorial for any Sudoku player who got stuck during the solving process. …”
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Final Year Project -
9
Detection of Workers’ Behaviour in the Manufacturing Plant using Deep Learning
Published 2023“…Utilizing machine learning algorithms, our system learns and detects intricate activities from worker behavior sequences, offering a sophisticated analysis of worker efficiency. …”
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A study of frame timing synchronization for WiMAX applications
Published 2007“…The two synchronization algorithms analyzed are Schmidl and Cox technique and double sliding window packet detection. …”
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Deep Learning Based image segmentation for expensive soil desiccation crack recognition and qualification
Published 2025“…This study investigated the feasibility and effectiveness of image-based techniques using advanced deep learning algorithms to quantify desiccation cracks in expansive soils. …”
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Computer algorithm for airwave prediction in marine controlled source electromagnetics data
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Phase to phase fault detection of 3-phase induction motor using FRA technique
Published 2020“…The purpose for preparing this paper is to innovate a new method to detection and diagnosis the three-phase induction motor electrical failures, especially the failures that occur in Stator winding. …”
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Quantifying forest disturbance using LiDAR data and time series Landsat images / Syaza Rozali
Published 2021“…This research aim is to quantify forest disturbance using multi-sensor Remote Sensing in tropical rainforest. …”
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15
Development of an automated detector and counter for bagworm census
Published 2020“…There are several recommendations from this study that have been suggested including the use of hyperspectral imaging to detect bagworms, application of radio frequency to detect live bagworms, open system detection of the bagworms, application of pseudo colour concept and method to detect early stage of bagworm attack.…”
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16
Tracking using normalized cross correlation and color space
Published 2007“…In addition to the TDR being used as a metric to determine the accuracy of a tracking method, another metric was formulated to quantify the accuracy of a tracking algorithm. …”
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Fusion of linear and nonlinear functional model for cadastral network adjustment / Nazurah Syahzanani Amiruddin
Published 2024“…However, the traverse method can lead to error propagation and involves significant costs, time, and labor. …”
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The role of vibrato in the perception of violin timbral quality
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19
Automatic paddy planthopper detection and counting using faster R-CNN
Published 2024“…Therefore, this research presents a comprehensive assessment of an object detection algorithm specifically developed to precisely detect and quantify planthoppers. …”
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Visualizing partially loosened fastener through frequency-wavenumber analysis of ultrasonic wavefield
Published 2024“…Further work is being conducted to improve the detection sensitivity and properly quantify the results.…”
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