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Low-Power Embedded Sensor Node for Real-Time Environmental Monitoring with On-Board Machine-Learning Inference [PDF]
SensorsThis paper presents the design and optimisation of a low-power embedded sensor-node architecture for real-time environmental monitoring with on-board machine-learning inference.
Manuel J. C. S. Reis
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Smart Black Box 2.0: Efficient High-Bandwidth Driving Data Collection Based on Video Anomalies
Algorithms, 2021 Autonomous vehicles require fleet-wide data collection for continuous algorithm development and validation. The smart black box (SBB) intelligent event data recorder has been proposed as a system for prioritized high-bandwidth data capture.
Ryan Feng, Yu Yao, Ella Atkins
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IEEE Access, 2022 Video anomaly detection refers to the rapid identification and localization of anomalous events during video surveillance. It has become a challenging task due to the dependence of anomalous event definitions on specific scenes and the scarcity ...
Jun-Fang Song +3 more
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PN-BBN: A Petri Net-Based Bayesian Network for Anomalous Behavior Detection
Mathematics, 2022 Business process anomalous behavior detection reveals unexpected cases from event logs to ensure the trusted operation of information systems. Anomaly behavior is mainly identified through a log-to-model alignment analysis or numerical outlier detection.
Ke Lu, Xianwen Fang, Na Fang
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Visualization of Anomalies using Graph-Based Anomaly Detection
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 Network protocol analyzers such asWireshark are valuable for analyzing network traffic but pose a challenge in that it can be difficult to determine which behaviors are out of the ordinary due to the volume of data that must be analyzed.
Ramesh Paudel +4 more
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Unsupervised Anomaly Video Detection via a Double-Flow ConvLSTM Variational Autoencoder
IEEE Access, 2022 With the rapid increase of video surveillance points in the market in recent years, video anomaly detection has gained extensive attention in the security field.
Lin Wang +4 more
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Frontiers in Energy Research, 2022 Anomalous event detection and identification are important to support situational awareness and security analysis in power grids. Particularly, the distribution network is with complicated topology, variable load behaviors, and integration of nonlinear ...
Fan Yang +6 more
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Detecting anomalous events at railway level crossings [PDF]
Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 2013 Collisions between pedestrians and vehicles continue to be a major problem throughout the world. Pedestrians trying to cross roads and railway tracks without any caution are often highly susceptible to collisions with vehicles and trains. Continuous financial, human and other losses have prompted transport related organizations to come up with various
Nallaivarothayan, Hajananth +5 more
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UIT-ADrone: A Novel Drone Dataset for Traffic Anomaly Detection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Anomaly detection plays an increasingly important role in video surveillance and is one of the issues that have attracted various communities, such as computer vision, machine learning, and data mining in recent years.
Tung Minh Tran +3 more
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MethodsX, 2022 This study presents an alternative vertical total electron content (VTEC) anomaly detection technique based on diurnal VTEC values. In order to assess the consistency of the results, Mw7.9 Wenchuan earthquake occurred on May 12, 2008 was chosen as case ...
Prapas Thammaboribal +3 more
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