Results 11 to 20 of about 36,531 (248)

Intent Arabic text categorisation based on different machine learning and term frequency

open access: yesIET Networks, EarlyView., 2022
Abstract The complexity of Internet network configurations has made managing networks a complicated undertaking. Intent‐Based Networking (IBN) is a potential solution to this issue. In contrast to conventional networks, where a concrete description of the settings typically conveys a network administrator's goal kept on each device, an administrator's ...
Mohammad Fadhil Mahdi   +1 more
wiley   +1 more source

AUGMENTING THE PHILIPPINES’ DOST-ASTI’S POTENTIAL FLOOD EXTENTS MAPPING SERVICE WITH S-BAND NOVASAR-1 IMAGES [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
The Philippines’ Advanced Science and Technology Institute under the Department of Science and Technology (DOST-ASTI) has developed an AI-based and near real-time flood extent mapping service that utilizes C-Band Sentinel-1 SAR images.
J. B. L. C. Dumalag   +13 more
doaj   +1 more source

A TDV attention-based BiGRU network for AIS-based vessel trajectory prediction

open access: yesiScience, 2023
Summary: Automatic identification system (AIS) is a vessel-based system for the automatic broadcast and reception of vessel information, and it also supports data for trajectory prediction.
Jin Chen   +4 more
doaj   +1 more source

Le système d’identification automatique (AIS)

open access: yesNetcom, 2015
The Automatic Identification System (AIS) is an automatic tracking system used on as a tool to increase navigation safety and efficiency as well as vessel traffic management. It enhances maritime safety and security.
Arnaud Serry, Laurent Lévêque
doaj   +1 more source

A Visual Analysis Approach to Understand and Explore Quality Problems of AIS Data

open access: yesJournal of Marine Science and Engineering, 2021
Low quality automatic identification system (AIS) data often mislead analysts to a misunderstanding of ship behavior analysis and to making incorrect navigation risk assessments.
Wei He   +5 more
doaj   +1 more source

Behavioral Model Anomaly Detection in Automatic Identification Systems (AIS)

open access: yes2020 10th Annual Computing and Communication Workshop and Conference (CCWC), 2020
Over 90% of all goods in the world, at some point in their life, are carried on a vessel at sea. Currently, the maritime industry relies on the Automatic Identification System (AIS) for collision avoidance, vessel tracking, and vessel awareness while operating at sea. AIS is a plaintext, unencrypted, unauthenticated protocol and, as such, is vulnerable
Jacob Coleman   +2 more
openaire   +2 more sources

Completeness and Accuracy of a Wide-Area Maritime Situational Picture based on Automatic Ship Reporting Systems [PDF]

open access: yes, 2014
Automatic ship reporting systems (AIS – Automatic identification System, LRIT – Long Range Identification and Tracking, VMS – Vessel Monitoring System) today allow global tracking of ships.
ALVAREZ ALVAREZ Marlene   +3 more
core   +2 more sources

A Novel Method for Risk Assessment and Simulation of Collision Avoidance for Vessels based on AIS

open access: yesAlgorithms, 2018
The identification of risks associated with collision for vessels is an important element in maritime safety and management. A vessel collision avoidance system is a topic that has been deeply studied, and it is a specialization in navigation technology.
ManhCuong Nguyen   +2 more
doaj   +1 more source

Monitoring in Near-Real Time for Amateur UAVs Using the AIS

open access: yesIEEE Access, 2020
The use of drones or UAVs (unmanned aerial vehicles) for commercial or leisure purposes is increasingly common in our society. However, UAVs can also be used for other purposes that may compromise the privacy and safety of the population. For this reason,
Nicolas Molina-Padron   +4 more
doaj   +1 more source

Automatic Identification System (AIS) Collection and Reach-back System: System Description [PDF]

open access: yes, 2014
Abstract : The Naval Research Laboratory (NRL) designed the Automatic Identification System (AIS) Collection and Reach-back System (ACRBS) to address a critical shortfall in the ability of the Military Sealift Command (MSC) to securely obtain and share its MSC ship position data along with the AIS data from all other surface contacts within AIS range ...
null Mark E.   +6 more
openaire   +1 more source

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