Artificial intelligence, Virtualization, Distributed computing, Computer vision and Network virtualization are her primary areas of study. The study incorporates disciplines such as Curvature and Pattern recognition in addition to Artificial intelligence. Her Virtualization research incorporates themes from Telecommunications and Scalability.
Her Virtual network study, which is part of a larger body of work in Distributed computing, is frequently linked to TRACE, bridging the gap between disciplines. Her Network virtualization research includes themes of Computer network, Software-defined networking and Network management station. Her studies in Software-defined networking integrate themes in fields like Provisioning and Software deployment.
Her scientific interests lie mostly in Artificial intelligence, Computer network, Distributed computing, Computer vision and Virtualization. Her Artificial intelligence study frequently draws connections to adjacent fields such as Pattern recognition. In her work, Service is strongly intertwined with The Internet, which is a subfield of Computer network.
Her Distributed computing study combines topics from a wide range of disciplines, such as Resource allocation, Quality of service, Network management station, Slicing and Network management. Her study on Image registration, Image processing and Pixel is often connected to Synchronization and Trajectory as part of broader study in Computer vision. Her Virtualization research is multidisciplinary, relying on both Scalability, Software deployment, Software-defined networking, Resource and Orchestration.
Joan Serrat mostly deals with Distributed computing, Artificial intelligence, Virtualization, Pattern recognition and Slicing. The concepts of her Distributed computing study are interwoven with issues in Wireless, Wireless network, Heterogeneous network and Computer network, Service. She combines subjects such as Machine learning and Computer vision with her study of Artificial intelligence.
Her studies deal with areas such as Service provider, Scalability, Orchestration and Software-defined networking as well as Virtualization. Her research investigates the connection between Software-defined networking and topics such as Provisioning that intersect with problems in Service-level agreement. Her study looks at the relationship between Telecommunications service and topics such as Software deployment, which overlap with Computer security.
Joan Serrat spends much of her time researching Virtualization, Artificial intelligence, Service provider, Distributed computing and Computer network. Her biological study spans a wide range of topics, including Telecommunications, Orchestration and Software-defined networking. In her study, Full virtualization is inextricably linked to Provisioning, which falls within the broad field of Software-defined networking.
As part of the same scientific family, Joan Serrat usually focuses on Artificial intelligence, concentrating on Pattern recognition and intersecting with MNIST database and Artificial neural network. Her Service provider research integrates issues from Virtual network and Network service. Her research integrates issues of Wireless, Wireless network, Resource allocation, Resource and Network virtualization in her study of Distributed computing.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Network Function Virtualization: State-of-the-Art and Research Challenges
Rashid Mijumbi;Joan Serrat;Juan-Luis Gorricho;Niels Bouten.
IEEE Communications Surveys and Tutorials (2016)
Resource Slicing in Virtual Wireless Networks: A Survey
Matias Richart;Javier Baliosian;Joan Serrat;Juan-Luis Gorricho.
IEEE Transactions on Network and Service Management (2016)
Evaluation of methods for ridge and valley detection
A.M. Lopez;F. Lumbreras;J. Serrat;J.J. Villanueva.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1999)
Design and evaluation of algorithms for mapping and scheduling of virtual network functions
Rashid Mijumbi;Joan Serrat;Juan-Luis Gorricho;Niels Bouten.
ieee conference on network softwarization (2015)
Management and orchestration challenges in network functions virtualization
Rashid Mijumbi;Joan Serrat;Juan-Luis Gorricho;Steven Latre.
IEEE Communications Magazine (2016)
Harmony Potentials
Xavier Boix;Josep M. Gonfaus;Joost Weijer;Andrew D. Bagdanov.
International Journal of Computer Vision (2012)
Harmony potentials for joint classification and segmentation
Josep M. Gonfaus;Xavier Boix;Joost van de Weijer;Andrew D. Bagdanov.
computer vision and pattern recognition (2010)
Pedestrian Detection at Day/Night Time with Visible and FIR Cameras: A Comparison
Alejandro González;Zhijie Fang;Yainuvis Socarras;Joan Serrat.
Sensors (2016)
Unsupervised co-segmentation through region matching
Jose C. Rubio;Joan Serrat;Antonio Lopez;Nikos Paragios.
computer vision and pattern recognition (2012)
Multilocal creaseness based on the level-set extrinsic curvature
Antonio M. Lôpez;David Lloret;Joan Serrat;Juan J. Villanueva.
Computer Vision and Image Understanding (2000)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
Autonomous University of Barcelona
University College London
University of Twente
Ghent University
University of Passau
Autonomous University of Barcelona
University of Waterloo
Sorbonne University
Facebook (United States)
University of Barcelona