Computer implemented methods, systems, and computer-readable media for predicting a vessel identifier are provided. These include providing, at a memory, a vessel identification model, receiving, at a processor in communication with the memory, vessel data from one or more sources, determining, at the processor, a plurality of periodograms from the vessel data, the plurality of periodograms determined for a candidate vessel corresponding to candidate vessel data in the vessel data, determining, at the processor, a spectrogram based on the plurality of periodograms; and predicting, at the processor, a vessel identifier output of the candidate vessel based on the spectrogram and the vessel identification model.
Computer implemented methods, systems, and computer-readable media for predicting a vessel identifier are provided. These include providing, at a memory, a multivariate model and a vessel identification model, receiving, at a processor in communication with the memory, vessel data from one or more sources, determining, at a processor, a dynamic candidate vessel corresponding to the vessel data from the one or more sources, and a candidate vessel corresponding to candidate vessel data in the vessel data and predicting, at the processor, a vessel identifier output of the candidate vessel based on the dynamic candidate vessel, the multivariate model, and the vessel identification model.
Provided are systems and methods for vessel risk assessment. This includes determining a risk assessment associated with a vessel, including receiving vessel data from at least one source, generating at least one vessel profile based on the vessel data, wherein each vessel profile provides indication of expected behavior events for one vessel and abnormal behavior events for one vessel, determining at least one abnormal behavior event of the vessel based on the at least one vessel profile, each event in the at least one abnormal behavior event having a time of occurrence, determining at least one frequency of occurrence of abnormal behavior events of the vessel based on the time of occurrence of each event, using at least one model to determine a risk assessment associated with the vessel based on the at least one frequency of occurrence of abnormal behavior events of the vessel.
Provided are systems and methods for determining an estimated time of arrival for one or more vessels based on vessel tracking data, and systems and methods for generating an estimated time of arrival model. This includes providing, at a memory, an estimated time of arrival model and a plurality of port boundaries; receiving, at a processor in communication with the memory, vessel data corresponding to at least one vessel, the vessel data comprising vessel location data and secondary data; receiving, at a network device in communication with the processor, an estimated time of arrival request; in response to the estimated time of arrival request, determining an estimated time of arrival corresponding to at least one vessel based on the vessel data and the estimated time of arrival model; and outputting, at an output device in communication with the processor, the estimated time of arrival for the at least one vessel.
Provided are systems, methods, and computer readable media for predicting a vessel rendezvous, and systems, methods, and computer readable media for generating a vessel rendezvous prediction model. The method can include generating or receiving a rendezvous a rendezvous prediction model; receiving vessel data for a plurality of vessels from one or more sources; constructing a vessel trajectory for each vessel of the plurality of vessels based on the vessel data, each vessel trajectory comprising one or more trajectory segments; providing the plurality of constructed vessel trajectories to the rendezvous prediction model; and generating, at the processor, a rendezvous prediction output from the rendezvous prediction model.
Provided are systems, methods, and computer readable media for predicting a vessel rendezvous, and systems, methods, and computer readable media for generating a vessel rendezvous prediction model. The method can include generating or receiving a rendezvous a rendezvous prediction model; receiving vessel data for a plurality of vessels from one or more sources; constructing a vessel trajectory for each vessel of the plurality of vessels based on the vessel data, each vessel trajectory comprising one or more trajectory segments; providing the plurality of constructed vessel trajectories to the rendezvous prediction model; and generating, at the processor, a rendezvous prediction output from the rendezvous prediction model.
Provided are systems, methods, and computer readable media for predicting a vessel rendezvous, and systems, methods, and computer readable media for generating a vessel rendezvous prediction model. The method can include generating or receiving a rendezvous a rendezvous prediction model; receiving vessel data for a plurality of vessels from one or more sources; constructing a vessel trajectory for each vessel of the plurality of vessels based on the vessel data, each vessel trajectory comprising one or more trajectory segments; providing the plurality of constructed vessel trajectories to the rendezvous prediction model; and generating, at the processor, a rendezvous prediction output from the rendezvous prediction model.
G06N 3/04 - Architecture, p. ex. topologie d'interconnexion
B63B 79/40 - Surveillance des caractéristiques ou des paramètres de fonctionnement des navires en opération pour le suivi des operations des navires, p. ex. le suivi de leur vitesse, de leur itinéraire ou de leur calendrier d’entretien
G01C 21/20 - Instruments pour effectuer des calculs de navigation
9.
System and method for vessel infectious disease importation risk assessment
Provided are systems and methods for vessel infectious disease importation risk assessment. This includes receiving vessel data from one or more sources, wherein the vessel data includes infectious disease data, determining a rendezvous history of the vessel based on the vessel data, determining a port visits history of the vessel based on the vessel data, determining the vessel disease burden based on the port visits history, the rendezvous history, the infectious disease data and a period of crew social exchange outside the vessel, determining the vessel disease progression dynamics based on the vessel disease burden and the vessel time of arrival at destination, and determining, at the processor, the infectious disease importation risk assessment associated with the vessel disease progression dynamics.
G16H 50/30 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicalesTIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le calcul des indices de santéTIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicalesTIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour l’évaluation des risques pour la santé d’une personne
G08G 3/00 - Systèmes de commande du trafic pour les véhicules marins
G16H 10/60 - TIC spécialement adaptées au maniement ou au traitement des données médicales ou de soins de santé relatives aux patients pour des données spécifiques de patients, p. ex. pour des dossiers électroniques de patients
G16H 50/20 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicalesTIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le diagnostic assisté par ordinateur, p. ex. basé sur des systèmes experts médicaux
Provided are systems and methods for vessel risk assessment. This includes determining a risk assessment associated with a vessel, including receiving vessel data from at least one source, generating at least one vessel profile based on the vessel data, wherein each vessel profile provides indication of expected behavior events for one vessel and abnormal behavior events for one vessel, determining at least one abnormal behavior event of the vessel based on the at least one vessel profile, each event in the at least one abnormal behavior event having a time of occurrence, determining at least one frequency of occurrence of abnormal behavior events of the vessel based on the time of occurrence of each event, using at least one model to determine a risk assessment associated with the vessel based on the at least one frequency of occurrence of abnormal behavior events of the vessel.
G06Q 10/04 - Prévision ou optimisation spécialement adaptées à des fins administratives ou de gestion, p. ex. programmation linéaire ou "problème d’optimisation des stocks"
G06Q 10/08 - Logistique, p. ex. entreposage, chargement ou distributionGestion d’inventaires ou de stocks
Provided are systems and methods for vessel risk assessment. This includes determining a risk assessment associated with a vessel, including receiving vessel data from at least one source, generating at least one vessel profile based on the vessel data, wherein each vessel profile provides indication of expected behavior events for one vessel and abnormal behavior events for one vessel, determining at least one abnormal behavior event of the vessel based on the at least one vessel profile, each event in the at least one abnormal behavior event having a time of occurrence, determining at least one frequency of occurrence of abnormal behavior events of the vessel based on the time of occurrence of each event, using at least one model to determine a risk assessment associated with the vessel based on the at least one frequency of occurrence of abnormal behavior events of the vessel.
G06Q 10/04 - Prévision ou optimisation spécialement adaptées à des fins administratives ou de gestion, p. ex. programmation linéaire ou "problème d’optimisation des stocks"
G06Q 10/08 - Logistique, p. ex. entreposage, chargement ou distributionGestion d’inventaires ou de stocks
Provided are systems and methods for vessel risk assessment. This includes determining a risk assessment associated with a vessel, including receiving vessel data from at least one source, generating at least one vessel profile based on the vessel data, wherein each vessel profile provides indication of expected behavior events for one vessel and abnormal behavior events for one vessel, determining at least one abnormal behavior event of the vessel based on the at least one vessel profile, each event in the at least one abnormal behavior event having a time of occurrence, determining at least one frequency of occurrence of abnormal behavior events of the vessel based on the time of occurrence of each event, using at least one model to determine a risk assessment associated with the vessel based on the at least one frequency of occurrence of abnormal behavior events of the vessel.
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Software as a service (SAAS) services featuring software for employing predictive technologies which empower analysis and decision making using artificial intelligence and satellite, terrestrial, ocean and weather data sets for the maritime sector for the purposes of maritime risk management and vessel management solutions; computer software consulting services relating to software solutions and services employing predictive technologies which empower analysis and decision making using artificial intelligence and satellite, terrestrial, ocean and weather data sets for the maritime sector for the purposes of maritime risk management and vessel management solutions
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Software as a service (SAAS) services featuring software for employing predictive technologies which empower analysis and decision making using artificial intelligence and satellite, terrestrial, ocean and weather data sets for the maritime, defence, energy, logistics and environmental sectors; Computer software consulting services relating to software solutions and services employing predictive technologies which empower analysis and decision making using artificial intelligence and satellite, terrestrial, ocean and weather data sets for the maritime, defence, energy, logistics and environmental sectors
36 - Services financiers, assurances et affaires immobilières
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
(1) Software as a service (SAAS) services employing predictive technologies which empower analysis and decision making using artificial intelligence and satellite, terrestrial, ocean and weather data sets for the maritime sector for the purposes of maritime risk management and vessel management solutions; Consulting services relating to solutions and services employing predictive technologies which empower analysis and decision making using artificial intelligence and satellite, terrestrial, ocean and weather data sets for the maritime sector for the purposes of maritime risk management and vessel management solutions
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
(1) Software as a service (SAAS) services employing predictive technologies which empower analysis and decision making using artificial intelligence and satellite, terrestrial, ocean and weather data sets for the maritime, defence, energy, logistics and environmental sectors; Consulting services relating to solutions and services employing predictive technologies which empower analysis and decision making using artificial intelligence and satellite, terrestrial, ocean and weather data sets for the maritime, defence, energy, logistics and environmental sectors
