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Towards Improved Visualization and Optimization of Aquaculture Production Process.

, , , , , , , and . KES, volume 207 of Procedia Computer Science, page 3439-3448. Elsevier, (2022)

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Towards Improved Visualization and Optimization of Aquaculture Production Process., , , , , , , and . KES, volume 207 of Procedia Computer Science, page 3439-3448. Elsevier, (2022)MOG: a background extraction approach for data augmentation of time-series images in deep learning segmentation., , and . ICMV, volume 12084 of SPIE Proceedings, page 1208419. SPIE, (2021)A Web-Based Platform for Efficient and Robust Simulation of Aquaculture Systems using Integrated Intelligent Agents., , and . KES, volume 225 of Procedia Computer Science, page 4560-4569. Elsevier, (2023)Robust Reasoning for Autonomous Cyber-Physical Systems in Dynamic Environments., , , , , and . KES, volume 192 of Procedia Computer Science, page 3966-3978. Elsevier, (2021)Safe Learning for Control using Control Lyapunov Functions and Control Barrier Functions: A Review., , , , , and . KES, volume 192 of Procedia Computer Science, page 3987-3997. Elsevier, (2021)RAMARL: Robustness Analysis with Multi-Agent Reinforcement Learning - Robust Reasoning in Autonomous Cyber-Physical Systems., and . KES, volume 207 of Procedia Computer Science, page 3662-3671. Elsevier, (2022)An instance segmentation framework for in-situ plankton taxa assessment., and . ICMV, volume 11605 of SPIE Proceedings, page 1160511. SPIE, (2020)Robust deep unsupervised learning framework to discover unseen plankton species., , and . ICMV, volume 12084 of SPIE Proceedings, page 120840V. SPIE, (2021)