Apr 20, 2018 · This thesis proposes an approach to build virtual sensors based on ma- chine learning to replace broken physical sensors. These virtual sensors ...

This thesis proposes an approach to build virtual sensors based on machine learning to replace broken physical sensors. These virtual sensors are trained ...

This thesis proposes an approach to build virtual sensors based on machine learning to replace broken physical sensors. These virtual sensors are trained with ...

This research study presents a data fusion-based method for underwater salient object detection and ocean environment monitoring by utilizing a deep model.

In this paper, we exclusively focus on an intensive review on deep-learning-based object recognition for both surface and underwater targets.

The article highlights the importance of collecting and annotating multi-modal sensor data from the vessel. These data are vital for developing deep learning ...

Although Seasat only operated for 105 days, the sensors on board Seasat had acquired much more data about the vast ocean than all previous sensors combined.

The motivation for our work was to present a comprehensive review of the fundamentals of Deep Learning (DL) applied in UAV-based imagery.

Dec 26, 2023 · Virtual Sensors based on deep-learning models for predicting the NOx emissions of a Diesel Engine under transient conditions were developed and verified.

Jan 17, 2020 · We developed and empirically studied a variety of deep neural networks to detect the vocalizations of endangered North Atlantic right whales (Eubalaena ...