"Model-Based Anomaly Detection for a Transparent Optical Transmission System"

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Book	Author(s)	Year	Publisher
Mobile Agent-Based Anomaly Detection and Verification System for Smart Home Sensor Networks	Muhammad Usman; Vallipuram Muthukkumarasamy; Xin-Wen Wu; Surraya Khanum	1st ed. 2018	Springer Nature Singapore
Traffic Anomaly Detection	Cuadra-Sánchez Antonio and Javier Aracil-Rico	2016	Elsevier
A pricing model for a natural gas transmission system	Toby McLean Symes	1970	[s.n.]
Laser-Based Optical Detection of Explosives	Paul M. Pellegrino; Ellen L. Holthoff; Mikella E. Farrell	2015	Routledge
Optical fibers for transmission	John E. Midwinter	1979	Wiley
Passive optical components for optical fiber transmission /	Kashima, Norio.	[1995], ©1995.	Artech House,
Model-Based System Architecture	Tim Weilkiens	2015	John Wiley & Sons
Anomaly Detection Principles and Algorithms	Kishan G. Mehrotra; Chilukuri K. Mohan; HuaMing Huang	1st ed. 2017	Springer International Publishing
Anomaly Detection: Techniques and Applications	Saira Banu, Shriram Raghunathan, Dinesh Mavaluru, A. Syed Mustafa	2021	Nova Science
A video bandwidth communications system utilizing optical fiber transmission	Gary Michael Lockhart	1973	Naval Postgraduate School
Network Anomaly Detection: A Machine Learning Perspective	Dhruba Kumar Bhattacharyya; Jugal Kumar Kalita	2013	Routledge
Optical-fiber transmission		1987	H.W. Sams
A program to compute magnetic anomaly detection probabilities	R. N. Forrest	1990	Naval Postgraduate School;Available from National Technical Information Service
A program to compute electric anomaly detection probabilities	R. N. Forrest	1988	Naval Postgraduate School;Available from National Technical Information Service
Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorch	Sridhar Alla; Suman Kalyan Adari	1st ed.	Apress
empirical comparison of monitoring algorithms for access anomaly detection	Anne Dinning	1989	Courant Institute of Mathematical Sciences, New York University
An evaluation of monitoring algorithms for access anomaly detection	Anne Dinning	1989	Courant Institute of Mathematical Sciences, New York University
An evaluation of monitoring algorithms for access anomaly detection	Anne Dinning	1989	Courant Institute of Mathematical Sciences, New York University
Optical transmission for the subscriber loop	Norio Kashima	1993	Artech House
AUV fault detection using model based observer residuals	James E. Melvin	1998	Naval Postgraduate School;Available from National Technical Information Service
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Model-Based Anomaly Detection for a Transparent Optical Transmission System	Thomas Bengtsson; Todd Salamon; Tin Kam Ho; Christopher A. White	Algorithms for Next Generation Networks	Graham Cormode; Marina Thottan	2010	Springer London
A Hybrid Model for Anomaly-Based Intrusion Detection System	N. Ugtakhbayar; B. Usukhbayar; S. Baigaltugs	Advances in Intelligent Information Hiding and Multimedia Signal Processing: Proceedings of the 15th International Conference on IIH-MSP in conjunction with the 12th International Conference on FITAT, July 18–20, Jilin, China, Volume 2	Jeng-Shyang Pan; Jianpo Li; Pei-Wei Tsai; Lakhmi C. Jain	1st ed. 2020	Springer Nature Singapore
MODEL‐BASED ANOMALY DETECTION FOR POWER SYSTEM STATE ESTIMATION		Advances in Electric Power and Energy: Static State Estimation	Mohamed E. El-Hawary	2020	Wiley-IEEE Press
Model-Based Anomaly Detection Approaches	Kishan G. Mehrotra; Chilukuri K. Mohan; HuaMing Huang	Anomaly Detection Principles and Algorithms	Kishan G. Mehrotra; Chilukuri K. Mohan; HuaMing Huang	1st ed. 2017	Springer International Publishing
Anomaly-based detection		Cybersecurity – Attack and Defense Strategies: Counter modern threats and employ state-of-the-art tools and techniques to protect your organization against cybercriminals, 2nd Edition	Yuri Diogenes, Erdal Ozkaya	2019	Packt Publishing
SOM-Based Anomaly Intrusion Detection System	Chun-dong Wang; He-feng Yu; Huai-bin Wang; Kai Liu	Embedded and Ubiquitous Computing: IFIP International Conference, EUC 2007, Taipei, Taiwan, December 17-20, 2007, Proceedings	Tei-Wei Kuo; Edwin Sha; Minyi Guo; Laurence T. Yang; Zili Shao	2007	Springer Berlin Heidelberg
Prediction Based Deep Autoencoding Model for Anomaly Detection	Zhanzhong Pang; Xiaoyi Yu; Jun Sun; Inakoshi Hiroya	Computer Vision – ACCV 2018 Workshops: 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers	Gustavo Carneiro; Shaodi You	1st ed. 2019	Springer International Publishing
Growing Structure Multiple Model System Based Anomaly Detection for Crankshaft Monitoring	Jianbo Liu; Pu Sun; Dragan Djurdjanovic; Kenneth Marko; Jun Ni	Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part III	Jun Wang; Zhang Yi; Jacek M. Zurada; Bao-Liang Lu; Yin Hujun	2006	Springer Berlin Heidelberg
A Fuzzy Anomaly Detection System	Dan Li; Kefei Wang; Jitender S. Deogun	Intelligence and Security Informatics: International Workshop, WISI 2006, Singapore, April 9, 2006, Proceedings	Hsinchun Chen; Feiyue Wang; Christopher C. Yang; Daniel Zeng; Michael Chau; Kuiyu Chang	2006	Springer Berlin Heidelberg
Anomaly Detection System in a Cluster Based MANET	Vikram Narayandas; Sujanavan Tiruvayipati; Madusu Hanmandlu; Lakshmi Thimmareddy	Computer Communication, Networking and Internet Security: Proceedings of IC3T 2016	Suresh Chandra Satapathy; Vikrant Bhateja; K. Srujan Raju; B. Janakiramaiah	1st ed. 2017	Springer Nature Singapore
Anomaly Detection System in a Cluster Based MAN		Computer Communication, Networking and Internet Security. Proceedings of IC3T 2016	Suresh Chandra Satapathy et al. (eds.)	2017	Springer
A System for in-Network Anomaly Detection	Thomas Gamer	Kommunikation in Verteilten Systemen (KiVS) 2007: 15. Fachtagung Kommunikation in Verteilten Systemen (KiVS 2007) Bern, Schweiz, 26. Februar - 2. März 2007	Torsten Braun; Georg Carle; Burkhard Stiller	2007	Springer Berlin Heidelberg
A Smartphone-Based System for Detecting Falls Using Anomaly Detection	Vincenzo Carletti; Antonio Greco; Alessia Saggese; Mario Vento	Image Analysis and Processing - ICIAP 2017 : 19th International Conference, Catania, Italy, September 11-15, 2017, Proceedings, Part II	Sebastiano Battiato; Giovanni Gallo; Raimondo Schettini; Filippo Stanco	1st ed. 2017	Springer International Publishing
Model-Specific Anomaly Detection		Matlab. Statistics and Machine Learning Toolbox. User's Guide		2021	MathWorks
Anomaly-Detection (AD) Model		Security Metrics, A Beginner's Guide	Caroline Wong	2011	McGraw-Hill Prof Med/Tech
Anomaly detection model snapshots		Machine Learning with the Elastic Stack: Gain valuable insights from your data with Elastic Stack's machine learning features	Rich Collier; Camilla Montonen; Bahaaldine Azarmi	2021	Packt Publishing
Network Anomaly Detection Based on ARFIMA Model	Tomasz Andrysiak; Łukasz Saganowski	Image Processing & Communications Challenges 6	Ryszard S. Choraś	2015	Springer International Publishing
Case-Based Anomaly Detection	Alessandro Micarelli; Giuseppe Sansonetti	Case-Based Reasoning Research and Development: 7th International Conference on Case-Based Reasoning, ICCBR 2007 Belfast Northern Ireland, UK, August 13-16, 2007 Proceedings	Rosina O. Weber; Michael M. Richter	2007	Springer Berlin Heidelberg
Pattern-Based Anomaly Detection	David B. Leake	Evaluating Explanations: A Content Theory	David B. Leake	1992	Routledge
Graph-based Anomaly Detection		Practical Graph Mining with R	Nagiza F. Samatova; William Hendrix; John Jenkins; Kanchana Padmanabhan	2013	Routledge
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