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Tommi Aihkisalo
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2020 – today
- 2024
- [j2]Reza Asadi
, Antoine Queguineur
Process monitoring by deep neural networks in directed energy deposition: CNN-based detection, segmentation, and statistical analysis of melt pools. Robotics Comput. Integr. Manuf. 87: 102710 (2024) - 2023
- [c6]Tommi Aihkisalo
Deep Learning Machine Vision Solutions for Monitoring Safety Structures to Supplement Building Information Models. SSE 2023: 1-10
2010 – 2019
- 2019
- [j1]Pekka Pääkkönen, Antti Heikkinen, Tommi Aihkisalo
Online architecture for predicting live video transcoding resources. J. Cloud Comput. 8: 9 (2019) - 2018
- [c5]Pekka Pääkkönen, Antti Heikkinen, Tommi Aihkisalo
Architecture for Predicting Live Video Transcoding Performance on Docker Containers. SCC 2018: 65-72 - 2017
- [c4]Tommi Aihkisalo
Identifying Architectural Design Trade-Offs in Service Registry Features. SOSE 2017: 120-125 - 2012
- [c3]Tommi Aihkisalo
Latencies of Service Invocation and Processing of the REST and SOAP Web Service Interfaces. SERVICES 2012: 100-107 - 2011
- [c2]Tommi Aihkisalo
A Performance Comparison of Web Service Object Marshalling and Unmarshalling Solutions. SERVICES 2011: 122-129 - 2010
- [c1]Tommi Aihkisalo, Pekka Pääkkönen:
JUNC - A JSON Binary Content Encoding Method that Provides more Efficient Transmission and Processing. SWWS 2010: 100-104
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last updated on 2024-10-07 21:24 CEST by the dblp team
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