Laser Ultrasound Inspection Based on Wavelet Transform and Data Clustering for Defect Estimation in Metallic Samples [PDF]
, 2019 Laser-generated ultrasound is a modern non-destructive testing technique. It has been investigated over recent years as an alternative to classical ultrasonic methods, mainly in industrial maintenance and quality control procedures.
Cojocaru, Crina +4 more
core +2 more sources
E-DBSCAN: An evidential version of the DBSCAN method
2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2020 In later years, data have grown enormously and dealing with them to extract information has become a necessity. Data mining is a subfield of both computer science and statistics that aim to extract useful information in a comprehensive structure. The importance of clustering techniques in data mining has lead to the development of many methods in order
Bessrour, Malek +2 more
openaire +1 more source
Trigonometric words ranking model for spam message classification
IET Networks, EarlyView., 2022 Abstract The significant increase in the volume of fake (spam) messages has led to an urgent need to develop and implement a robust anti‐spam method. Several of the current anti‐spam systems depend mainly on the word order of the message in determining the spam message, which results in the system's inability to predict the correct type of message when
Suha Mohammed Hadi +7 more
wiley +1 more source
An Improved DBSCAN Algorithm Based on the Neighbor Similarity and Fast Nearest Neighbor Query
IEEE Access, 2020 DBSCAN is the most famous density based clustering algorithm which is one of the main clustering paradigms. However, there are many redundant distance computations among the process of DBSCAN clustering, due to brute force Range-Query used to retrieve ...
Shan-Shan Li
doaj +1 more source
Jurnal Lebesgue, 2023 The purpose of this research is to classify digital wallet users in the city of Medan using the DBSCAN method. The research method used in this study is the method of analysis. The sampling technique uses the Quota sampling technique.
Nurjannah Nasution, Fibri Rakhmawati
doaj +1 more source
Clustering based Contact Tracing Analysis and Prediction of SARS-CoV-2 Infections [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2022 INTRODUCTION: Contact tracing is a method to track the victims, which have been infected from the host with any particular disease.
Meenu Gupta +4 more
doaj +1 more source
Detection outliers on internet of things using big data technology
Egyptian Informatics Journal, 2020 Internet of Things (IoT) is a fundamental concept of a new technology that will be promising and significant in various fields. IoT is a vision that allows things or objects equipped with sensors, actuators, and processors to talk and communicate with ...
Haitham Ghallab, Hanan Fahmy, Mona Nasr
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IMPLEMENTATION OF THE DBSCAN METHOD FOR CLUSTER MAPPING OF EARTHQUAKE SPREAD LOCATION
Barekeng, 2023 West Java area is located on the Pacific Circum and Mediterranean Circum routes, this causes West Java area to be an unstable area that is characterized by many active working volcanoes and frequent earthquakes.
Muhammad Bariklana, Achmad Fauzan
doaj +1 more source
Improving the performance of the FCM algorithm in clustering using the DBSCAN algorithm [PDF]
Iranian Journal of Numerical Analysis and Optimization, 2023 The fuzzy-C-means (FCM) algorithm is one of the most famous fuzzy clus-tering algorithms, but it gets stuck in local optima. In addition, this algo-rithm requires the number of clusters.
S. Barkhordari Firozabadi +3 more
doaj +1 more source
Optimization of the Grounding Resistance of the Neutral in 20 kV Networks According to the Criteria of Minimizing the Significant Value of the Ground Fault Current and the Overvoltage Amplitude [PDF]
Problems of the Regional EnergeticsThe main objective of this study is to determine the optimal resistance of transformer neutral resistive grounding in 20 kV distribution networks using clustering methods.
Kyryk V.V., Buriak A.R.
doaj +1 more source