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A new thermal integrity method for pile anomaly detection
(
DEStech Publications Inc.
, 2019 , Conference Paper)
Anomaly detection is a hot topic in pile construction which is a complex one due to the intrinsic nature of underground structures, such as limited accessibility, large depth and complex soil profile. Several traditional ...
Automated detection of anomalies in sewer closed circuit television videos using proportional data modeling
(
International Society for Trenchless Technology
, 2016 , Conference Paper)
Sewer pipeline condition information is usually collected using closed circuit television (CCTV). Moreover, in order to evaluate the condition of pipeline, data should be processed by a certified operator, which is time ...
Dynamical observer for continuous linear Roesser systems
(
Elsevier B.V.
, 2020 , Conference Paper)
Monitoring of industrial systems for anomalies such as faults and cyber-attacks as unknown and extremely undesirable inputs in the presence of other inputs (like disturbances) is an important issue for ensuring the safety ...
Iterative per Group Feature Selection for Intrusion Detection
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Network security is an critical subject in any distributed network. Recently, machine learning has proven their efficiency for intrusion detection. By using a comprehensive dataset with multiple attack types, a well-trained ...
Outlier detection approaches based on machine learning in the internet-of-things
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Outlier detection in the Internet of Things (IoT) is an essential challenge issue studied in numerous fields, including fraud monitoring, intrusion detection, secure localization, trust management, and so on. Conventional ...
Detection of Appliance-Level Abnormal Energy Consumption in Buildings Using Autoencoders and Micro-moments
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Conference Paper)
The detection of anomalous energy usage could help significantly in signaling energy wastage and identifying faulty appliances, especially if the individual power traces are analyzed. To that end, this paper proposes a ...
Anomaly Detection: A Survey
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Conference Paper)
Anomaly detection (AD) is considered one of the important research areas that have a diverse range of application domains. Some of the anomaly detection techniques presented in the literature were specifically implemented ...
Anomaly Detection in Blockchain-Enabled Supply Chain: An Ontological Approach
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Conference Paper)
In our work, we propose an anomaly detection framework, for detecting anomalous transactions in business processes from transaction event logs. Such a framework will help enhance the accuracy of anomaly detection in the ...
Scalable Containerized Pipeline for Real-time Big Data Analytics
(
IEEE Computer Society
, 2022 , Conference Paper)
With the widespread usage of IoT, processing data streams in real-time have become very important. The traditional data-stream processing systems are inefficient in processing big data for detecting anomalies, classifications, ...
Machine Learning Techniques for Network Anomaly Detection: A Survey
(
IEEE
, 2020 , Conference Paper)
Nowadays, distributed data processing in cloud computing has gained increasing attention from many researchers. The intense transfer of data has made the network an attractive and vulnerable target for attackers to exploit ...