Search Results - (( location detection models algorithm ) OR ( war classification using algorithm ))*
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Use of hybrid classification algorithm for land use and land cover analysis in data scarce environment
Published 2013“…In conclusion, hybrid classification as a combination of k-means and support vector machine algorithms and post-classification comparison change detection technique can be used to monitor land cover changes in Halabja city, Iraq. …”
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Modified damage location indices in beam-like structure: Analytical study
Published 2011“…The modified algorithms are able to detect the damage wherever its location, applying even to cases of multi damage locations. …”
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Monitoring Land Cover Changes in Halabja City, Iraq.
Published 2013“…Quantitative analysis was conducted by using post-classification change detection technique. …”
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Context enrichment framework for sentiment analysis in handling word ambiguity resolution
Published 2024“…Machine learning algorithms are deployed to perform sentiment classification. …”
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Detection of leak size and its location in a water distribution system by using K-NN / Nasereddin Ibrahim Sherksi
Published 2020“…This thesis proposes a classification model to detect water leakage, focusing on finding water leakage’s location and size, using K-Nearest Neighbour (K-NN) classification method. …”
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Fraud detection in shipping industry based on location using machine learning comparison techniques
Published 2023“…Speed of detection derived from the speed of model execution is also important for earlier detection of fraudulent cases. …”
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Evaluation of different peak models of eye blink EEG for signal peak detection using artificial neural network
Published 2016“…Therefore, the purpose of peak detection algorithm is to distinguish an actual peak location from a list of peak candidates. …”
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A review on object detection algorithms based deep learning methods / Wan Xing ... [et al.]
Published 2023“…Deep learning-based object detection algorithms can be categorized into three main types: end-to-end algorithms, two-stage algorithms, and one-stage algorithms. …”
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Improved abnormal detection using self-adaptive social force model for visual surveillance
Published 2017“…In this work, we aim to find the significant interaction forces and detect the abnormality in the crowd by using Self-Adaptive Social Force Model. …”
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Fault section detection and location on distribution network using analytical voltage sags database
Published 2006“…This paper presents the application of voltage sags information for automatic fault section detection and location on a distribution network. Based on a network topology and load estimations obtained from load modeling, this method uses a three phase load flow and fault analysis to establish analytical voltage sags database information for a studied distribution network. …”
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Fault Detection Relevant, Neural Network and Evolutionary Algorithm based Model for a Single-shaft Industrial Gas Turbine
Published 2009“…Analytical redundancy based fault detection system generally requires an accurate model. …”
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3D face registration across pose variation and facial expression using cross profile alignment
Published 2011“…The experiment conducted on challenging 3D face databases yields good results with 94.77% detection rate for the nose tip region detection algorithm. …”
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Stiffness reduction index for detection of damage location: Analytical study
Published 2011“…The study has validated the new index to detect the damage location for the case of multi damage location presented at the same time along the beam length. …”
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12N test procedure for NPSF testing and diagnosis for SRAMs
Published 2008“…This paper aims to prove the efficiency of March 12N algorithm in term of detection and identification capability and locate the NPSF model fault. …”
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Evaluation Of Different Peak Models Of Eye Blink Eeg For Signal Peak Detection Using Artificial Neural Network
Published 2016“…Therefore, the purpose of peak detection algorithm is to distinguish an actual peak location from a list of peak candidates. …”
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License plate detection using deep learning object detection models
Published 2024“…This project aims to study and improve license plate detection using deep learning models. As of current year, the model OLOv4 has achieved 43.5% AP on MS COCO. …”
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Automatic detection and indication of pallet-level tagging from rfid readings using machine learning algorithms
Published 2020“…In order to further validate the position of the tagging in the pallet box of the Random Forest model developed, a different predefined location was used to validate the model. …”
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Vibration-based structural damage detection and system identification using wavelet multiresolution analysis / Seyed Alireza Ravanfar
Published 2017“…Therefore, a new reference-free damage detection algorithm is proposed. The RWPE measurements of different sensor-to-sensor pairs are applied for defining the reference-free damage index (RDI) of each sensor location. …”
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