The papers listed below have been selected as "Best Papers" based on the reviews of the original submission, the camera-ready version, and the presentation during the conference. For the awarded papers, a digital award will be issued in the name of the authors. The authors of these papers are also receiving invitations to submit an extended article version to one of the IARIA Journals.

Awarded Papers (also Invited for IARIA Journals)

Operationalizing and Testing Machine Learning Models for Acoustic Target Classification
Nils Olav Handegard, Silje Smith-Johnsen, Arne Johannes Holmin, Cristian Muños Mas, Ingrid Utseth, Daniel Dondorp

Machine Learning Using Physics-Based Backscattering Modeling for Acoustic Identification of Mesopelagic Organisms
Sander Andre Berg Marx, Babak Khodabandeloo, Ketil Malde

Evaluating Hyperparameter Selection Techniques for the Ratio-Coupled Loss Function
Austin B. Schmidt, Pujan Pokhrel, Md Meftahul Ferdaus, Elias Ioup, Mahdi Abdelguerfi, Julian Simeonov

The following papers have been selected on the basis of their contents, specificaly for lending themselves to an interesting extended work. The authors of these papers are receiving invitations to submit an extended article version to one of the IARIA Journals.

Papers Invited for IARIA Journals

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting
Edward Holmberg, Pujan Pokhrel, Elias Ioup, Ken Pathak, Steven Sloan, Kendall Niles, Jay Ratcliff, Maik Flanagin, Christian Guetl, Julian Simeonov, Mahdi Abdelguerfi

Integrated design and field validation of MoBI: An Intelligent Buoy for environmental data acquisition
Alessio Chirigu, Alberto Mancosu, Sara Pinna, Matteo Anedda, Mariella Sole, Daniele Giusto

Multi-Source Constrained Machine Learning for Oceanic Parameters Forecasting
Pujan Pokhrel, Austin B. Schmidt, Md Meftahul Ferdaus, Elias Ioup, Julian Simeonov, Mahdi Abdelguerfi

Semi-Supervised Object Detection for Marine Monitoring using Temporal Information
Viljar Holm Elvevoll, Kim Tallaksen Halvorsen, Ketil Malde