Výsledky vyhľadávania - "real-time anomaly detection algorithms"

A Benchmark for Real-Time Anomaly Detection Algorithms Applied in Industry 4.0

Autori: Philip Stahmann Bodo Rieger

Zdroj: Lecture Notes in Computer Science ISBN: 9783031255984

Improving Machine Self-Diagnosis with an Instance-Based Selector for Real-Time Anomaly Detection Algorithms

Autori: Philip Stahmann Jon Oodes Bodo Rieger

Zdroj: Lecture Notes in Business Information Processing ISBN: 9783031065293

Evaluating Real-Time Anomaly Detection Algorithms -- The Numenta Anomaly Benchmark

Autori: Subutai Ahmad Alexander Lavin

Zdroj: 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/pdf/1510.03336
http://arxiv.org/abs/1510.03336

Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark

Autori: Lavin, Alexander Ahmad, Subutai

Témy: Computer Science - Artificial Intelligence, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/1510.03336

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

Autori: Stahmann, Philip Rieger, Bodo

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

Popis súboru: 7 pages; application/pdf

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

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

A novel blockchain-integrated IoT framework for secure and efficient vehicle-to-infrastructure communication in smart transportation.

Autori: Vindhya, A. Shri Kumari, V. Sheeja Karthikeyan, L. a ďalší

Zdroj: Peer-to-Peer Networking & Applications; Nov2025, Vol. 18 Issue 6, p1-15, 15p

Detection of Anomalies in the Operation of a Road Lighting System Based on Data from Smart Electricity Meters.

Autori: Śmiałkowski, Tomasz Czyżewski, Andrzej

Zdroj: Energies (19961073); Dec2022, Vol. 15 Issue 24, p9438, 23p

Predmety: DATABASES, SMART meters, ELECTRICITY power meters, SMART cities, MACHINE learning

PatternFusion: a hybrid model for pattern recognition in time-series data using ensemble learning.

Autori: Bouchelligua, Wided

Zdroj: Scientific Reports; 12/9/2025, Vol. 15 Issue 1, p1-36, 36p

Einstein: a fast online segmentation (pseudo-period extraction) algorithm for complex pseudo-periodic data streams.

Autori: Chaudhary, Arjun Luo, Ling Aickelin, Uwe

Zdroj: International Journal of Data Science & Analytics; Nov2025, Vol. 20 Issue 6, p6457-6474, 18p

ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN.

Autori: Bashar, Md Abul Nayak, Richi

Zdroj: International Journal of Data Science & Analytics; Nov2025, Vol. 20 Issue 6, p5719-5737, 19p

Frugal Self-Optimization Mechanisms for Edge–Cloud Continuum.

Autori: Wrona, Zofia Wasielewska-Michniewska, Katarzyna Ganzha, Maria a ďalší

Zdroj: Sensors (14248220); Nov2025, Vol. 25 Issue 21, p6556, 39p

Predmety: ANOMALY detection (Computer security), ADAPTIVE sampling (Statistics), INTERNET of things, RESOURCE management, SELF-organizing systems, COST effectiveness, EDGE computing

A user-driven MILP framework for cost-efficient and performance-Aware Iaas resource allocation.

Autori: Aljawarneh, Mahmoud Al-Na'amneh, Qais Hazaymih, Rahaf a ďalší

Zdroj: International Journal of Innovative Research & Scientific Studies; 2025, Vol. 8 Issue 5, p2030-2043, 14p

Predmety: MIXED integer linear programming, INFORMATION technology, VIRTUAL machine systems, COST control, RESOURCE allocation

A Systematic Literature Review of Robust Federated Learning: Issues, Solutions, and Future Research Directions.

Autori: Uddin, Md Palash Xiang, Yong Hasan, Mahmudul a ďalší

Zdroj: ACM Computing Surveys; Oct2025, Vol. 57 Issue 10, p1-62, 62p

Predmety: MACHINE learning, DISTRIBUTED artificial intelligence, ARTIFICIAL intelligence, FEDERATED learning, PATTERN recognition systems, INTRUSION detection systems (Computer security), K-means clustering

A hybrid ABC-based online evolving spiking neural network for unsupervised anomaly detection in streaming data.

Autori: Rehan, Rabie Sahran, Shahnorbanun Sani, Nor Samsiah a ďalší

Zdroj: PeerJ Computer Science; Oct2025, p1-39, 39p

Predmety: OUTLIER detection, OPTIMIZATION algorithms, MACHINE learning, REAL-time computing, ARTIFICIAL neural networks

Prevention of cyberattacks in WSN and packet drop by CI framework and information processing protocol using AI and Big Data

Autori: S, Shreyanth

Témy: Computer Science - Cryptography and Security, Computer Science - Machine Learning, Computer Science - Networking and Internet Architecture, text

URL: http://arxiv.org/abs/2306.09448

Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances.

Autori: Lu, Shuo Wang, Yingsheng Sheng, Lijun a ďalší

Zdroj: ACM Computing Surveys; Feb2026, Vol. 58 Issue 2, p1-39, 39p

Predmety: OUTLIER detection, SCIENTIFIC discoveries

Anomaly Detection in Blockchain Systems Leveraging Immutable Audit Trails for Enhanced Security

Autori: null Hafiz Gulfam Ahmad Umar null Kashif Iqbal Sajida Raz Bhutto a ďalší

Zdroj: Sir Syed University Research Journal of Engineering and Technology, Vol 15, Iss 1 (2025)

Predmety: TK7885-7895, Computer engineering. Computer hardware, Electronic computers. Computer science, T1-995, QA75.5-76.95, Technology (General)

Prístupová URL adresa: https://doaj.org/article/baccc127e9fc494e8fa3e8cc8c5b82ad

Smart technology framework for medical waste optimization by integrating wireless tracking with artificial intelligence classification.

Autori: Bdour, Ahmed N. Kharabsheh, Raha M.

Zdroj: AIMS Environmental Science; 2025, Vol. 12 Issue 5, p1-22, 22p

Predmety: MEDICAL wastes, WASTE management, ENVIRONMENTAL impact analysis, RADIO frequency identification systems, HEALTH facilities, TECHNOLOGICAL innovations, ARTIFICIAL intelligence, PROCESS optimization

Comprehensive review of recent developments in visual object detection based on deep learning.

Autori: Edozie, Enerst Shuaibu, Aliyu Nuhu John, Ukagwu Kelechi a ďalší

Zdroj: Artificial Intelligence Review; Sep2025, Vol. 58 Issue 9, p1-97, 97p

Artificial Intelligence in Chemical Dosing for Wastewater Purification and Treatment: Current Trends and Future Perspectives.

Autori: Jin, Jie Liu, Ming Chen, Boyu a ďalší

Zdroj: Separations (2297-8739); Sep2025, Vol. 12 Issue 9, p237, 24p

Predmety: ARTIFICIAL intelligence, WASTEWATER treatment, FUZZY logic, ECONOMIC efficiency, ALGORITHMS, SUSTAINABILITY, ARTIFICIAL neural networks