AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Ships

Showing 1 to 10 of 70 articles

Clear Filters

[The study of implementation of digital technologies on sphere of labor protection and its impact on personnel of enterprises of marine industry].

Problemy sotsial'noi gigieny, zdravookhraneniia i istorii meditsiny
The innovative technologies are becoming widespread in all spheres of human life, including labor protection. The AI, modern systems of monitoring and data analysis permit to develop devices with functions to determine physical conditions of workers,...

Two-stage ship detection at long distances based on deep learning and slicing technique.

PloS one
Ship detection over long distances is crucial for the visual perception of intelligent ships. Since traditional image processing-based methods are not robust, deep learning-based image recognition methods can automatically obtain the features of smal...

Deep learning innovations in South Korean maritime navigation: Enhancing vessel trajectories prediction with AIS data.

PloS one
Predicting ship trajectories can effectively forecast navigation trends and enable the orderly management of ships, which holds immense significance for maritime traffic safety. This paper introduces a novel ship trajectory prediction method utilizin...

Vessel trajectory classification via transfer learning with Deep Convolutional Neural Networks.

PloS one
The classification of vessel trajectories using Automatic Identification System (AIS) data is crucial for ensuring maritime safety and the efficient navigation of ships. The advent of deep learning has brought about more effective classification meth...

Machine learning based method for analyzing vibration and noise in large cruise ships.

PloS one
Cruise ships are distinguished as special passenger ships, transporting passengers to various ports and giving importance to comfort. High comfort can attract lots of passengers and generate substantial profits. Vibration and noise are the most impor...

Sensor-Based Fuzzy Inference of COVID-19 Transmission Risk in Cruise Ships.

Studies in health technology and informatics
Cruise ships are densely populated ecosystems where infectious diseases can spread rapidly. Hence, early detection of infected individuals and risk assessment (RA) of the disease transmissibility are critical. Recent studies have investigated the lon...

Enhancing shipboard oil pollution prevention: Machine learning innovations in oil discharge monitoring equipment.

Marine pollution bulletin
Maritime operations face significant challenges in environmental stewardship, particularly in managing oil discharges from tankers as mandated by the International Convention for the Prevention of Pollution from Ships (MARPOL) Annex I, Regulation 34....

Modeling and control of a sperm-inspired robot with helical propulsion.

Bioinspiration & biomimetics
Efficient propulsion has been a central focus of research in the field of biomimetic underwater vehicles. Compared to the prevalent fish-like reciprocating flapping propulsion mode, the sperm-like helical propulsion mode features higher efficiency an...

Research on the movement pattern and kinematic model of the hindlegs of the water boatman.

Bioinspiration & biomimetics
The special hindleg structure and swimming setae of a water boatman give it a high degree of maneuverability, which plays an important role in swimming. This paper used a high-speed photography platform to extract key points from videos, obtaining th...

Detecting living microalgae in ship ballast water based on stained microscopic images and deep learning.

Marine pollution bulletin
Motivated by the need of rapid detection of living microalgae cells in ship ballast water, this study is intended to determine the activities of microalgae using stained microscopic images and detect the living cells with image processing algorithms....