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1
Road triangle detection for non-road area elimination using lane detection and image multiplication
Published 2017“…Therefore, this paper focuses on intelligent transport system (ITS), in which some of the background characteristics such as trees, road divider, and buildings interfere in the detection system algorithm. Therefore, this paper presents an algorithm that can remove the unwanted background, outside the road area boundaries for dynamic video footage. …”
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2
Robust overlapping community detection in complex networks with graph convolutional networks and fuzzy C-means
Published 2024“…In this paper, we propose an efficient method called GCNFCM, which utilizes Graph Convolutional Networks (GCNs), Fuzzy C-means (FCM), and the modularity Q algorithm for overlapping community detection. …”
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3
An efficient anomaly intrusion detection method with feature selection and evolutionary neural network
Published 2020“…This research designed an anomaly-based detection, by adopting the modified Cuckoo Search Algorithm (CSA), called Mutation Cuckoo Fuzzy (MCF) for feature selection and Evolutionary Neural Network (ENN) for classification. …”
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4
Intrusion detection on the in-vehicle network using machine learning
Published 2021“…This paper presents an intrusion detection method based on the Isolation Forest (iForest) algorithm that detects message insertion attacks using message timing information. …”
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Proceeding Paper -
5
Identifying multiple outliers in linear functional relationship model using a robust clustering method
Published 2023“…Application in real data also shows that the proposed clustering method for this linear functional relationship model successfully detects the outliers, thus suggesting the method’s practicality in real-world problems.…”
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6
Modified sequential fences for identifying univariate outliers
Published 2016“…Besides its simplicity, this method is also effective in detecting multiple outliers while maintaining the approximate specific outside rate at each stage as the series on number of outlier fences. …”
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7
Fault detection and diagnosis using rule-based support system on fatty acid fractionation column
Published 2003“…Process variables are defined as fault if they are deviated outside this region. Identification of causes, consequences and suggested actions for each deviation assisted by Hazard and Operability Study (HAZOP) analysis are generated into rule-based algorithm. …”
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8
POWER QUALITY CLASSIFICATION WITH DE-NOISING SCHEME USING WAVELET TRANSFORM AND RULE- BASED METHOD
Published 2012“…This thesis focuses on a Rule-Based method based on wavelet transform to detect and classify various events of power quality disturbances. …”
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9
Tumor Extraction for Brain Magnetic Resonance Imaging Using Modified Gaussian Distribution
Published 2006“…Gray level morphology methods are used to make tissue types in the images more homogenous and minimize difficulties with connections to outside tissue. …”
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10
Industrial datasets with ICS testbed and attack detection using machine learning techniques
Published 2021“…The decision tree (DT) ML technique is optimized with pruning method which provides an attack detection accuracy of 96.5%. …”
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