[HTML][HTML] Deep Learning Methods to Mitigate Human-Factor-Related Accidents in Maritime Transport
G Cao-Feijóo, JM Pérez-Canosa… - Journal of Marine …, 2024 - mdpi.com
Artificial intelligence aims to be the solution to multiple engineering problems by trying to
emulate the human learning process. In this sense, maritime transport standards have …
emulate the human learning process. In this sense, maritime transport standards have …
Criminal Penalties for Foreigners Engaged in Illegal Fishing Indonesia's ZEE Impact SDGs
A Irawan, J Ransangan… - Journal of …, 2025 - journal.contrariusactus.com
This research examines Indonesia's criminal law policy's readiness to address fisheries and
maritime crimes within the Indonesian Exclusive Economic Zone (ZEEI) and its implications …
maritime crimes within the Indonesian Exclusive Economic Zone (ZEEI) and its implications …
Deep Learning Classification of Empty and Full Container Ships in Satellite Imagery: A Cognitive Modeling Approach for Maritime Applications
SA Sadik - Deep Cognitive Modelling in Remote Sensing Image …, 2024 - igi-global.com
This chapter presents a novel approach to ship classification in optical remote sensing
(ORS) imagery, focusing on the distinction between empty and full container ships …
(ORS) imagery, focusing on the distinction between empty and full container ships …
Enhancing Building Change Detection with UVT-BCD: A UNet-Vision Transformer Fusion Approach
TS Geetha, C Chellaswamy, TK Raja - 2024 - researchsquare.com
Building change detection (BCD) is particularly important for comprehending ground
changes and activities carried out by humans. Since its introduction, deep learning has …
changes and activities carried out by humans. Since its introduction, deep learning has …