Machine learning models for vessel route forecasting: An experimental comparison
Maritime transport systems are essential to human mobility. A vital part of the maritime
transport systems is the accurate vessel route forecasting (VRF). However, accurate VRF is …
transport systems is the accurate vessel route forecasting (VRF). However, accurate VRF is …
Machine learning models for vessel traffic flow forecasting: An experimental comparison
P Mandalis, E Chondrodima, Y Kontoulis… - 2022 23rd IEEE …, 2022 - ieeexplore.ieee.org
Within the last years the shipping industry invest-ments continue to grow to improve maritime
transport systems. A vital part of the maritime transport systems is the accurate Vessel Traffic …
transport systems. A vital part of the maritime transport systems is the accurate Vessel Traffic …
Vessel collision risk assessment using AIS data: A machine learning approach
The wide spread of Automatic Identification System (AIS) and tools based on it has
motivated several maritime analytics operations. One of the most critical operations for the …
motivated several maritime analytics operations. One of the most critical operations for the …
Predicting co-movement patterns in mobility data
Predictive analytics over mobility data is of great importance since it can assist an analyst to
predict events, such as collisions, encounters, traffic jams, etc. A typical example is …
predict events, such as collisions, encounters, traffic jams, etc. A typical example is …
Collision risk assessment and forecasting on maritime data
The wide spread of the Automatic Identification System (AIS) and related tools has motivated
several maritime analytics operations. One of the most critical operations for the purpose of …
several maritime analytics operations. One of the most critical operations for the purpose of …
On Vessel Location Forecasting and the Effect of Federated Learning
The wide spread of Automatic Identification System (AIS) has motivated several maritime
analytics operations. Vessel Location Forecasting (VLF) is one of the most critical operations …
analytics operations. Vessel Location Forecasting (VLF) is one of the most critical operations …
Society 5.0 towards Sustainable Development Goals in Technological Prospects and Social Applications
S Kumar - Technological Prospects and Social Applications of … - taylorfrancis.com
Industry 4.0 through the development of fourth industrial revolution (4IR) technologies has
set in motion an unprecedented transformation across our world that is changing the way we …
set in motion an unprecedented transformation across our world that is changing the way we …
Rural Ecological Environment Monitoring and VR Visualization Analysis of Jilin Province Supported By Big Data
C Ju, H Huang - Procedia Computer Science, 2024 - Elsevier
With the development and progress of society, Chinese people have higher and higher
requirements for the quality of life. The rapid development of urbanization and …
requirements for the quality of life. The rapid development of urbanization and …
Design and Development of a Big Data Platform for Disease Burden Based on the Spark Engine
C Li, J Gao, Q Pan, Z Zhou, Y Yang… - Computational …, 2023 - Wiley Online Library
Objective. This study attempts to build a big data platform for disease burden that can realize
the deep coupling of artificial intelligence and public health. This is a highly open and …
the deep coupling of artificial intelligence and public health. This is a highly open and …
Pythia: Distributed Pattern-based Future Location Prediction of Moving Objects
P Tampakis, N Pelekis - CEUR Workshop Proceedings, 2024 - portal.findresearcher.sdu.dk
Predictive analytics over mobility data is a domain that has received a lot of attention by the
research community the past few years and encapsulates a wide range of sub-problems …
research community the past few years and encapsulates a wide range of sub-problems …