Publications
- Robust Inference of Fish Behaviour from Underwater Acoustic and Environmental Data Read the publication
- A Robust, Domain-Aware Agentic System for Interactive Web-Based Aquaculture Simulation Read the publication
- Optimizing Feeding Strategies in Aquaculture Using Machine Learning: Ensuring Sustainable and Economically Viable Fish Farming Practices Read the publication
- Modeling and Predicting Welfare of Farmed Atlantic Salmon: Integrative Domain Representation and Reasoning Strategies Read the publication
- Mouth Opening Frequency of Salmon from Underwater Video Exploiting Computer Vision Read the publication
- StereoYolo+DeepSORT: A Framework to Track Fish from Underwater Stereo Camera in Situ Read the publication
- Implications of single-stage deep learning networks in real-time zooplankton identification Read the publication
- A Web-Based Platform for Efficient and Robust Simulation of Aquaculture Systems using Integrated Intelligent Agents Read the publication
- RAMARL: Robustness Analysis with Multi-Agent Reinforcement Learning - Robust Reasoning in Autonomous Cyber-Physical Systems Read the publication
- Towards Improved Visualization and Optimization of Aquaculture Production Process Read the publication
Other
- Towards Zero Waste in Aquaculture: AI-Driven Feeding Optimization with Sonar & Environmental Data
- Smart Aquaculture: How AI Bridges Challenges and Unlocks a Sustainable Future
- Visualizing Operations and Impact on Fish Production through GraphDB
- Mouth Opening Frequency of Salmon from Underwater Video Exploiting Computer Vision - Presentation
- Aquaculture Robotics Research at SINTEF Ocean - Autonomy, navigation, and motion planning dedicated to improve efficiency, safety and fish welfare
- Modeling and Predicting Welfare of Farmed Atlantic Salmon: Integrative Domain Representation and Reasoning Strategies - Presentation
- Optimizing Feeding Strategies in Aquaculture Using Machine Learning: Ensuring Sustainable and Economically Viable Fish Farming Practices
- Optimalisering av fôringsprosessen for laks gjennom AI-forsterkede datadrevne strategier
- Aquaculture Robotics Research at SINTEF Ocean - Autonomy, navigation, and motion planning dedicated to improve efficiency, safety and fish welfare
- A Web-Based Platform for Efficient and Robust Simulation of Aquaculture Systems using Integrated Intelligent Agents - Presentation