Výsledky vyhledávání - "Anomaly-detection algorithms"

Model-Based Design and AI for Monitoring Systems in Automotive Power Electronics

Autoři: Pierpaolo Dini Sergio Saponara Giovanni Basso a další

Zdroj: Lecture Notes in Electrical Engineering ISBN: 9783031715174

Témata: Anomaly-detection algorithms, Automotive power electronics, Automotives, Embedded device, Innovative methodologies, Model-based design, Monitoring system, Neural-networks, Power-electronics, Simulation

Unsupervised Anomaly Detection for Mineral Prospectivity Mapping Using Isolation Forest and Extended Isolation Forest Algorithms

Autoři: Mobin Saremi Ardeshir Hezarkhani Seyyed Ataollah Agha Seyyed Mirzabozorg a další

Zdroj: Minerals ; Volume 15 ; Issue 4 ; Pages: 411

Témata: porphyry copper mineralization, mineral prospectivity mapping, unsupervised anomaly detection algorithms, extended isolation forest, isolation forest, geospatial data analysis

Geografické téma: agris

Popis souboru: application/pdf

Relation: Mineral Exploration Methods and Applications; https://dx.doi.org/10.3390/min15040411

Dostupnost: https://doi.org/10.3390/min15040411

Customer-Centric Insurance Solutions: AI-Powered Claims Processing and Fraud Prevention

Autoři: Venkata Sarathchandra Chennamsetty

Zdroj: International Journal of Intelligent Systems and Applications in Engineering; Vol. 12 No. 23s (2024); 573 – 583

Témata: AI-powered claims processing, Fraud detection, Natural Language Processing (NLP), Anomaly detection algorithms, Blockchain technology, Insurance sector efficiency

Popis souboru: application/pdf

Přístupová URL adresa: https://www.ijisae.org/index.php/IJISAE/article/view/6906

Hyperspectral anomaly detection: a performance comparison of existing techniques

Autoři: Noman Raza Shah Abdur Rahman M. Maud Farrukh Aziz Bhatti a další

Zdroj: International Journal of Digital Earth, Vol 15, Iss 1, Pp 2078-2125 (2022)

Témata: hyperspectral imagery, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, deep learning, Mathematical geography. Cartography, 02 engineering and technology, GA1-1776, anomaly detection algorithms, dimensionality reduction

Přístupová URL adresa: https://doaj.org/article/67a835161e174c44bbb0f16d1cf772df

Evaluation of anomaly detection algorithms using machine learning methods

Zdroj: Management of Development of Complex Systems; No. 58 (2024); 80-85
Управление развитием сложных систем; № 58 (2024); 80-85
Управління розвитком складних систем; № 58 (2024); 80-85

Témata: дослідження та оцінка алгоритмів, алгоритми виявлення аномалій, machine learning, машинне навчання, research and evaluation of algorithms, types of anomalies, види аномалій, anomaly detection algorithms

Popis souboru: application/pdf

Přístupová URL adresa: http://mdcs.knuba.edu.ua/article/view/309439

Anomaly Detection Using Machine Learning in Hydrochemical Data From Hot Springs: Implications for Earthquake Prediction

Autoři: Ruijie Zhu Fengtian Yang Xiaocheng Zhou a další

Zdroj: Water Resources Research, Vol 60, Iss 6, Pp n/a-n/a (2024)

Témata: Environmental sciences, earthquake prediction, machine learning, hot spring, 13. Climate action, GE1-350, anomaly detection algorithms, 01 natural sciences, hydrogeochemical anomalies, 0105 earth and related environmental sciences

Přístupová URL adresa: https://doaj.org/article/04a07f3dfd99410697cf30cf6098e66a

Evaluation of anomaly detection algorithms using machine learning methods ; Оцінка алгоритмів виявлення аномалій за допомогою методів машинного навчання

Autoři: Цюцюра , Микола Коваленко , Андрій

Zdroj: Management of Development of Complex Systems; No. 58 (2024); 80-85 ; Управление развитием сложных систем; № 58 (2024); 80-85 ; Управління розвитком складних систем; № 58 (2024); 80-85 ; 2412-9933 ; 2219-5300 ; 10.32347/2412-9933.2024.58

Témata: машинне навчання, види аномалій, алгоритми виявлення аномалій, дослідження та оцінка алгоритмів, machine learning, types of anomalies, anomaly detection algorithms, research and evaluation of algorithms

Popis souboru: application/pdf

Relation: http://mdcs.knuba.edu.ua/article/view/309439/300941; http://mdcs.knuba.edu.ua/article/view/309439

Dostupnost: http://mdcs.knuba.edu.ua/article/view/309439

Spectrum Anomaly Detection for Optical Network Monitoring using Deep Unsupervised Learning

Autoři: Natalino, Carlos Udalcovs, Aleksejs Wosinska, Lena a další

Zdroj: IEEE Communications Letters. 25(5):1583-1586

Témata: Anomaly detection, autoencoder, Constellation diagram, Deep unsupervised learning, Optical fiber networks, optical network monitoring, Optical noise, Optical sensors, Signal to noise ratio, Training, Deep learning, Fiber optic networks, Unsupervised learning, Anomaly-detection algorithms, Cognitive managements, Constellation diagrams, Detection accuracy, Network Monitoring, Optical spectra, Prior knowledge, Received signals

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-52552

Bridge management through digital twin-based anomaly detection systems: A systematic review

Autoři: Jiménez Rios, A. Plevris, Vagelis Nogal, Maria

Zdroj: Frontiers in Built Environment, Vol 9 (2023)
Frontiers in Built Environment

Témata: finite element method, cultural heritage conservation, 0211 other engineering and technologies, 02 engineering and technology, Engineering (General). Civil engineering (General), digital twins, bridge information modeling, 0201 civil engineering, bridges, HT165.5-169.9, 11. Sustainability, bridge health monitoring, TA1-2040, anomaly detection algorithms, City planning

Popis souboru: application/pdf

Přístupová URL adresa: https://doaj.org/article/34e6c4337e0f447dad3b84319a75db3a
https://hdl.handle.net/11250/3097688

Underlying Data for ' Detection of False Position Attacks in VANETs through Bagging Ensemble Learning '

Autoři: Bekan Mekonen Lemi Bane Negasa Fite

Témata: Artificial intelligence not elsewhere classified, Cybersecurity and privacy not elsewhere classified, Information security management, VANET Attacks, False Position Attack, VeReMi, Machine Learning, Bagging, Vehicular Cybersecurity, anomaly detection algorithms, ITS

Relation: https://figshare.com/articles/dataset/Underlying_Data_for_b_Detection_of_False_Position_Attacks_in_VANETs_through_Bagging_Ensemble_Learning_b_/29322179

Dostupnost: https://doi.org/10.6084/m9.figshare.29322179.v1
https://figshare.com/articles/dataset/Underlying_Data_for_b_Detection_of_False_Position_Attacks_in_VANETs_through_Bagging_Ensemble_Learning_b_/29322179

DTADD Systematic Review Preprint

Autoři: Alejandro Jiménez Rios Vagelis Plevris Maria Nogal

Témata: Bridges, Digital Twins, Anomaly Detection Algorithms, Finite Element Method, Cultural Heritage Conservation, Bridge Infromation Modeling, Bridge Health Monitoring

Relation: https://zenodo.org/communities/eu/; https://zenodo.org/records/7673718; oai:zenodo.org:7673718; https://doi.org/10.5281/zenodo.7673718

Dostupnost: https://doi.org/10.5281/zenodo.7673718
https://zenodo.org/records/7673718

Towards Design Principles for a Real-Time Anomaly Detection Algorithm Benchmark Suited to Industrie 4.0 Streaming Data

Autoři: Stahmann, Philip Rieger, Bodo

Témata: Data Analytics, Control Systems, Business Strategies, benchmark, industrie 4.0, real-time anomaly detection algorithms, streaming data

Popis souboru: 7 pages; application/pdf

Relation: Proceedings of the 55th Hawaii International Conference on System Sciences; http://hdl.handle.net/10125/80106

Dostupnost: http://hdl.handle.net/10125/80106
https://doi.org/10.24251/HICSS.2022.766

Нейромережева система автоматизації прогнозування динаміки контрольованих параметрів процесу буріння нафтогазових свердловин

Témata: алгоритми виявлення аномалій, forecasting methods, невизначеність, automation of the drilling process, багатошарові нейронні мережі, expert systems, машинне навчання, multilayer neural networks, аномалії в даних, нечіткість, коефіцієнти впевненості, глибинне навчання, uncertainty, методи прогнозування, deep learning, fuzziness, автоматизація процесу буріння, експертні системи, machine learning, системи підтримки прийняття рішень на основі знань, математичні моделі, knowledge-based decision support systems, confidence coefficients, mathematical models, anomaly detection algorithms, anomalies in data

Přístupová URL adresa: http://elar.nung.edu.ua/handle/123456789/9432

A Novel Network user Behaviors and Profile Testing based on Anomaly Detection Techniques

Autoři: Muhammad Tahir Mingchu Li Xiao Zheng a další

Témata: Network user behaviors, profile testing, anomaly detection techniques, datasets, anomaly detection algorithms, machine learning

Relation: http://dx.doi.org/10.14569/IJACSA.2019.0100641

Dostupnost: https://doi.org/10.14569/IJACSA.2019.0100641

Разработка программного обеспечения оценки эффективности системы индикации уровня топлива на Ð¿Ð¾Ð¿Ð»Ð°Ð²ÐºÐ¾Ð²Ñ‹Ñ Ð´Ð°Ñ‚Ñ‡Ð¸ÐºÐ°Ñ: выпускная квалификационная работа бакалавра

Témata: fuel level sensor, система мониторинга уровня топлива, fuel level monitoring system, recurrent neural networks, датчик уровня топлива, time series, алгоритмы поиска аномалий, временной ряд, рекуррентные нейронные сети, anomaly detection algorithms

Bibliographic Data from the Digital Twin Anomaly Detection Decision-Making for Bridge Management Systematic Review

Autoři: Jiménez Rios, Alejandro Plevris, Vagelis Nogal, Maria

Témata: Bridges, Digital Twins, Bridge Information Modelling, Finite Elements, Bridge Health Monitoring, Anomaly Detection Algorithms, Cultural Heritage

Relation: https://zenodo.org/communities/eu/; https://zenodo.org/records/7548017; oai:zenodo.org:7548017; https://doi.org/10.5281/zenodo.7548017

Dostupnost: https://doi.org/10.5281/zenodo.7548017
https://zenodo.org/records/7548017

Automated detection of anomalies in sewer closed circuit television videos using proportional data modeling

Autoři: Moradi, Saeed Zayed, Tarek Hawari, Alaa H.

Témata: Pipelines, Sewer pipelines, Information analysis, Markov processes, Cctv inspections, Anomaly-detection algorithms, Anomaly detection, Sewers, Automated detection, Computer vision techniques, Timing circuits, Computer vision, Defects, Hidden Markov models, Closed circuit television, Proportional datum, Signal detection

Přístupová URL adresa: https://hdl.handle.net/10576/22689

Detection of Anomalous Gamma-Ray Spectra for On-Site Inspection

Přispěvatelé: Pfund, David

Zdroj: Conference: The International Scientific Studies Conference (ISS 2009), Paper No. OSI-21/B

Popis souboru: Medium: X

Přístupová URL adresa: http://www.osti.gov/scitech/biblio/990135

Differentially private transmission control protocol synchronise packet counts

Autoři: Mkuzangwe, Nenekazi NP Nelwamondo, Fulufhelo V

Témata: Anomaly detection algorithms, Differential privacy, TCP SYN Packets

Popis souboru: application/pdf

Relation: Worklist;International Journal of Network Security; http://ijns.femto.com.tw/; http://hdl.handle.net/10204/11317; Mkuzangwe, N. N., & Nelwamondo, F. V. (2019). Differentially private transmission control protocol synchronise packet counts. http://hdl.handle.net/10204/11317; Mkuzangwe, Nenekazi NP, and Fulufhelo V Nelwamondo "Differentially private transmission control protocol synchronise packet counts." (2019) http://hdl.handle.net/10204/11317; Mkuzangwe NN, Nelwamondo FV. Differentially private transmission control protocol synchronise packet counts. 2019; http://hdl.handle.net/10204/11317.

Dostupnost: http://hdl.handle.net/10204/11317
http://ijns.femto.com.tw/
https://doi.org/10.6633/IJNS.201909
https://www.semanticscholar.org/paper/Differentially-Private-Transmission-Control-Packet-Mkuzangwe-Nelwamondo/2fbd2e23b27f86fa4bc464c7508c636191be221a

Оцінка алгоритмів виявлення аномалій за допомогою методів машинного навчання ; Evaluation of anomaly detection algorithms using machine learning methods

Autoři: Цюцюра М. І. Коваленко А. Ю.

Zdroj: Management of Development of Complex Systems ; number 58 ; 2024 ; Управління розвитком складних систем ; номер 58

Témata: machine learning, types of anomalies, anomaly detection algorithms, research and evaluation of algorithms, машинне навчання, види аномалій, алгоритми виявлення аномалій, дослідження та оцінка алгоритмів

Popis souboru: application/pdf

Relation: http://urss.knuba.edu.ua/ua/zbirnyk-58/article-1780

Dostupnost: http://urss.knuba.edu.ua/ua/zbirnyk-58/article-1780