Table of Contents
Volume 16 Number 3 (Fall)
Artificial Intelligence and Machine Learning for Ocean Monitoring and Management [2021]
- Editorial Board
- On the Cover
- Publishing Schedule and Advertisements
- Guest Editor - Dr. Jim Wyse
- Machine Learning and Marine Science: Critical Role of Partnerships in Norway
- Nils Olav Handegard, Institute of Marine Research
- Line Eikvil, Norwegian Computing Center
- Robert Jenssen, Arctic University of Norway
- Michael Kampffmeyer, Arctic University of Norway
- Arnt-Borre Salberg, Norwegian Computing Center
- Ketil Malde, University of Bergen
- Drowning in Data: How Artificial Intelligence Could Throw us a Life ring
- Rylan Command, Fisheries and Marine Institute of Memorial University
- Katleen Robert, Fisheries and Marine Institute of Memorial University
- No Machine Learning without Data: Critical Factors to Consider when Collecting Video Data in Marine Environments
- Malte Pedersen, Aalborg University
- Niels Madsen, Aalborg University
- Thomas B. Moeslund, Aalborg University
- Whale Watching: Automating Aerial and Surface Level Cetacean Monitoring for Improved Population Surveys
- Michael Outhouse, Deep Vision
- Alan Parslow, Deep Vision
- Alvin Beach, Deep Vision
- The More We Know: Enabling Faster and Smarter Ocean Energy and Mineral Resource Management with Artificial Intelligence
- J. Jacob Levenson, U.S. Bureau of Ocean Energy Management
- Timothy White, U.S. Bureau of Ocean Energy Management
- Jonathan Blythe, U.S. Bureau of Ocean Energy Management
- Melanie Damour, U.S. Bureau of Ocean Energy Management
- Christina Bonsell, U.S. Bureau of Ocean Energy Management
- Catherine Coon, U.S. Bureau of Ocean Energy Management
- Heather Crowley, U.S. Bureau of Ocean Energy Management
- Jeleena Almario, U.S. Bureau of Ocean Energy Management
- Machine Learning Analysis of Underwater Video: Measuring Effects of Seismic Surveying on Groundfish Resources off the Coast of Newfoundland, Canada
- Corey Morris, Fisheries and Oceans Canada
- Joshua Barnes, National Research Council Canada
- Dustin Schornagel, Fisheries and Oceans Canada
- Christopher Whidden, Dalhousie University
- Phillippe Lamontagne, National Research Council of Canada
- The Promise of Artificial Intelligence in Seafood Traceability
- Aparna Korattywaroopam, ThisFish Inc.
- Eric Enno Tamm, ThisFish Inc.
- Aquatic Vegetation Mapping using Machine Learning Algorithms and Bathymetric LiDAR Data: A Case Study from Newfoundland and Labrador, Canada
- Meisam Amani, WSP Environment and Infrastructure Canada
- Candace Macdonald, Wood plc
- Sahel Mahdavi, WSP Environment and Infrastructure Canada
- Mardi Gullage, Fisheries and Oceans Canada
- Justin So, WSP Canada Inc.
- Lodestar ... Jasper Kanes, Scott Lowe, Christopher Whidden
- Technicalities ... Cloud-based Machine Learning Automates Vessel Behaviour Recognition for Maritime Domain Awareness
- Neil Bomberger, BAE Systems
- Scott Morales, BAE Systems
- Karl Severin, BAE Systems
- Austin Miller, BAE Systems
- Bradley Rhodes, Crystalytyx
- Ocean Colour Mapping Using Remote Sensing Technology and an Unsupervised Machine Learning Algorithm
- Sarah Parsons, Fisheries and Marine Institute of Memorial University
- Meisam Amani, WSP Environment and Infrastructure Canada
- Armin Moghimi, K.N. Toosi University of Tehran
- Automated Synthetic Aperture Sonar Image Segmentation using Spatially Coherent Clustering
- Shannon-Morgan Steele, Kraken Robotic Systems Inc.
- Jillian Ejdrygiewicz, Kraken Robotic Systems Inc.
- Jeremy Dillon, Kraken Robotic Systems Inc.
- Identification of Periodic Fish Tags with Deep Learning
- Santosh Medisetty, Dalhousie University
- Dave Ouellette, Innovasea
- Frank Smith, Innovasea
- Matthew Richard, Innovasea
- Sam Johnston, Innovasea
- Jean Quirion, Innovasea
- Jason Newport, DeepSense
- Christopher Whidden, Dalhousie University
- Oliver Kirsebom, MERIDIAN
- Q&A with Blair Thornton
- Trade Winds
- Inside Out ... Boulder Detection and Measurement in Side Scan Sonar Data Using Deep Learning
- Reverberations ... Machine Learning Algorithms to Detect Satellite Navigation Deception: Catching GPS Spoofs with Machine Learning's Neural Networks
- Jim Wyse, Maridia Research Associates
- Homeward Bound ... Using Simulation-based Assessments and Machine Learning to Prepare Lifeboat Coxswains for Offshore Emergencies
- Randy Billard, Virtual Marine
- Parting Notes ... Greg Harvey