Search Results - "real-time anomaly detection algorithms"

Evaluating Real-Time Anomaly Detection Algorithms -- The Numenta Anomaly Benchmark by Lavin, Alexander, Ahmad, Subutai

“…Much of the world's data is streaming, time-series data, where anomalies give significant information in critical situations, examples abound in domains such…”
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Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark by Lavin, Alexander, Subutai Ahmad

“…Much of the world's data is streaming, time-series data, where anomalies give significant information in critical situations; examples abound in domains such…”
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ERX: A Fast Real-Time Anomaly Detection Algorithm for Hyperspectral Line Scanning by Garske, Samuel, Evans, Bradley, Artlett, Christopher, Wong, K. C.

“…Detecting unexpected objects (anomalies) in real time has great potential for monitoring, managing, and protecting the environment. Hyperspectral line-scan…”
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ERX: A Fast Real-Time Anomaly Detection Algorithm for Hyperspectral Line Scanning by Garske, Samuel, Evans, Bradley, Artlett, Christopher, Wong, K C

“…Detecting unexpected objects (anomalies) in real time has great potential for monitoring, managing, and protecting the environment. Hyperspectral line-scan…”
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A real-time anomaly detection algorithm/or water quality data using dual time-moving windows by Jin Zhang, Xiaohui Zhu, Yong Yue, Wong, Prudence W. H.

“…Anomaly data in real-time water quality monitoring systems can cause false alarms and significantly decrease system stability and reliability. We propose a…”
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A novel blockchain-integrated IoT framework for secure and efficient vehicle-to-infrastructure communication in smart transportation by Vindhya, A. Shri, Kumari, V. Sheeja, Karthikeyan, L., Vinoth, D., Agoramoorthy, Moorthy

“…The rapid integration of the Internet of Things (IoT) into intelligent transportation systems is revolutionizing urban mobility through real-time data…”
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Detection of Anomalies in the Operation of a Road Lighting System Based on Data from Smart Electricity Meters by Smialkowski, Tomasz, Czyzewski, Andrzej

“…Smart meters in road lighting systems create new opportunities for automatic diagnostics of undesirable phenomena such as lamp failures, schedule deviations,…”
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Real-Time Human Action Anomaly Detection Through Two-Stream Spatial-Temporal Networks by Peng, Chuan, Jiang, Zebin, Lin, Mao, Hu, Hongbin, Qing, Cen, Wu, Yuankai, Xu, Xiao

“…, and real-time anomaly detection algorithms. Due to the hardware limitations in many industrial scenarios, we would like to explore the use of the CPU alone to detect abnormal human action…”
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Anomaly Detection in Blockchain Systems Leveraging Immutable Audit Trails for Enhanced Security by Hafiz Gulfam Ahmad Umar, Kashif Iqbal, Bhutto, Sajida Raz, Raza, Asad, Oad, Ammar

“… Even with the advantages of blockchain, real-time anomaly detection algorithms still lack sufficient performance…”
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Hierarchical Temporal Memory Based Machine Learning for Real-Time, Unsupervised Anomaly Detection in Smart Grid: WiP Abstract by Barua, Anomadarshi, Muthirayan, Deepan, Khargonekar, Pramod P., Al Faruque, Mohammad Abdullah

“…Micro-phasor measurement unit (μPMU) sensors in smart electric grids provide measurements of voltage and current at microsecond timescale across the network…”
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A Performance-Oriented Comparison of Neural Network Approaches for Anomaly-based Intrusion Detection by Iannucci, Stefano, Ables, Jesse, Anderson, William, Abburi, Bhuvanesh, Cardellini, Valeria, Banicescu, Ioana

“… Anomaly detection algorithms that exploit artificial neural networks (ANN) have recently gained particular interest…”
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Cell Level Partial-Shading Condition Quantification and Simulation on PV Panels by Tradacete-Agreda, Miguel, Santos-Perez, Carlos, Rodriguez-Sanchez, Francisco Javier, Martin-Sanchez, Pedro, Hueros-Barrios, Pablo Jose, Santiso-Gomez, Enrique

“…This paper addresses the challenge of evaluating the impact of partial shading conditions (PSC) on individual photovoltaic (PV) cells (Cell-PSC) within a PV…”
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Prevention of cyberattacks in WSN and packet drop by CI framework and information processing protocol using AI and Big Data by Shreyanth, S

“… Anomaly detection algorithms are also included in the framework to identify packet drop instances caused by attacks or network congestion…”
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Anomaly Detection Algorithms on IBM InfoSphere Streams: Anomaly Detection for Data in Motion by Yulevich, Y., Pyasik, A., Gorelik, L.

“…This paper presents and shares excerpts from our implementation of near real-time anomaly detection algorithms on the IBM InfoSphere Streams platform…”
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Numenta Anomaly Benchmark Evaluates Anomaly Detection Techniques for Real-time, Streaming Data

“… containing real world data, and an open source tool for measuring the effectiveness of real-time anomaly detection…”
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Multivariate-Time-Series-Driven Real-time Anomaly Detection Based on Bayesian Network by Ding, Nan, Gao, Huanbo, Bu, Hongyu, Ma, Haoxuan, Si, Huaiwei

“… Based on this situation, we propose RADM, a real-time anomaly detection algorithm based on Hierarchical Temporal Memory (HTM…”
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Real-time anomaly detection based on long short-Term memory and Gaussian Mixture Model by Ding, Nan, Ma, HaoXuan, Gao, Huanbo, Ma, YanHua, Tan, GuoZhen

“… Therefore, in this paper, the LGMAD, a real-time anomaly detection algorithm based on Long-Short Term Memory (LSTM…”
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CE-RX: A Collaborative Cloud-Edge Anomaly Detection Approach for Hyperspectral Images by Wang, Yunchang, Cai, Jiang, Zhou, Junlong, Sun, Jin, Xu, Yang, Zhang, Yi, Wei, Zhihui, Plaza, Javier, Plaza, Antonio, Wu, Zebin

“… To address this problem, we introduce a new real-time anomaly detection algorithm for hyperspectral images called cloud–edge RX (CE-RX…”
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Anomaly Detection Algorithm for Urban Infrastructure Construction Equipment based on Multidimensional Time Series by Wu, Bingjian, Zhang, Fan, Wang, Yi, Hu, Min, Bai, Xue

“… This paper proposes a real-time anomaly detection algorithm based on improved distance measurement (RADIM…”
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Unsupervised Online Anomaly Detection on Multivariate Sensing Time Series Data for Smart Manufacturing by Hsieh, Ruei-Jie, Chou, Jerry, Ho, Chih-Hsiang

“… To overcome the limited and irregular anomaly patterns found from our multivariate sensor dataset, we proposed an unsupervised real-time anomaly detection algorithm based on LSTM-based Auto-Encoder…”
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