(2024): This paper improves deep learning models (DETR) to better detect underwater targets in noisy and blurred environments, specifically testing on categories like fish and divers.
If you are looking for research related to (specifically the technology behind detecting or tracking underwater targets), the following academic papers cover related fields like underwater object detection and robotics: Underwater Object Detection & Tracking (2024): This paper improves deep learning models (DETR)
(2021): Focuses on using CNNs to estimate the distance of an underwater source, which is critical for tracking moving targets. Underwater Mine & Target Identification : Discusses the use of sonar imagery to
(2024): Introduces the "UDMDet" framework designed to identify objects that are concealed or have profiles similar to their surroundings. This specific string is often used to test
: Discusses the use of sonar imagery to categorize seabed objects into specific "mine-like" or "non-mine-like" categories for countermeasures.
: Explores detecting underwater objects by their magnetic signatures (e.g., iron content) rather than just visual or acoustic means.
The second part of your query, and/**/cast(md5('1288398601')as/**/int)>0 , appears to be a common syntax pattern used in rather than a genuine request for academic papers. This specific string is often used to test if a database will execute a mathematical cast on an MD5 hash.