Sökning: "Anomaly detection"

Visar resultat 6 - 10 av 80 avhandlingar innehållade orden Anomaly detection.

1. 6. Machine learning for anomaly detection in edge clouds

   Författare :Javad Forough; Erik Elmroth; Monowar H. Bhuyan; Shahid Raza; Umeå universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Edge Clouds; Anomaly Detection; Machine Learning;

   Sammanfattning : Edge clouds have emerged as an essential architecture, revolutionizing data processing and analysis by bringing computational capabilities closer to data sources and end-users at the edge of the network. Anomaly detection is crucial in these settings to maintain the reliability and security of edge-based systems and applications despite limited computational resources. LÄS MER

3. 7. Together We Learn More : Algorithms and Applications for User-Centric Anomaly Detection

   Författare :Ece Calikus; Sławomir Nowaczyk; Onur Dikmen; Stefan Byttner; Evgeny Burnaev; Högskolan i Halmstad; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; data mining; machine learning; anomaly detection; Smart Cities and Communities; Smarta städer och samhällen;

   Sammanfattning : Anomaly detection is the problem of identifying data points or patterns that do not conform to normal behavior. Anomalies in data often correspond to important and actionable information such as frauds in financial applications, faults in production units, intrusions in computer systems, and serious diseases in patient records. LÄS MER

4. 8. Anomaly detection in trajectory data for surveillance applications

   Författare :Rikard Laxhammar; Örebro universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Anomaly detection; trajectory analysis; statistical methods; conformal prediction; automated surveillance; Computer science; Datavetenskap; Datalogi; Computer and Systems Science; Teknik;

   Sammanfattning : Abnormal behaviour may indicate important objects and events in a wide variety of domains. One such domain is intelligence and surveillance, where there is a clear trend towards more and more advanced sensor systems producing huge amounts of trajectory data from moving objects, such as people, vehicles, vessels and aircraft. LÄS MER

5. 9. Performance anomaly detection and resolution for autonomous clouds

   Författare :Olumuyiwa Ibidunmoye; Erik Elmroth; Ewnetu Bayuh Lakew; Rolf Stadler; Umeå universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Cloud Computing; Distributed Systems; Performance Management; Anomaly Detection; Quality of Service; Performance Analytics; Machine Learning; Computer Systems; datorteknik; business data processing; administrativ databehandling; Computer Science; datalogi;

   Sammanfattning : Fundamental properties of cloud computing such as resource sharing and on-demand self-servicing is driving a growing adoption of the cloud for hosting both legacy and new application services. A consequence of this growth is that the increasing scale and complexity of the underlying cloud infrastructure as well as the fluctuating service workloads is inducing performance incidents at a higher frequency than ever before with far-reaching impact on revenue, reliability, and reputation. LÄS MER

7. 10. Anomaly Detection and its Adaptation : Studies on Cyber-Physical Systems

   Författare :Massimiliano Raciti; Simin Nadjm-Tehrani; Magnus Almgren; Linköpings universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

   Sammanfattning : Cyber-Physical Systems (CPS) are complex systems where physical operations are supported and coordinated by Information and Communication Technology (ICT).From the point of view of security, ICT technology offers new opportunities to increase vigilance and real-time responsiveness to physical security faults. LÄS MER