L Ma, S Tian - IEEE access, 2020 - ieeexplore.ieee.org
The 4D trajectory is a multi-dimensional time series with plentiful spatial-temporal features and has a high degree of complexity and uncertainty. Aiming at these features of aircraft …
In the field of sensors, in areas such as industrial, clinical, or environment, it is common to find one dimensional (1D) formatted data (eg, electrocardiogram, temperature, power …
Plant diseases introduce significant yield and quality losses to the food production industry, worldwide. Early identification of an epidemic could lead to more effective management of …
T Rateke, KA Justen… - Revista de Informática …, 2019 - seer.ufrgs.br
The type of road pavement directly influences the way vehicles are driven. It's common to find papers that deal with path detection but don't take into account major changes in road …
Accurate Earth orientation parameter (EOP) predictions are needed for many applications, eg, for the tracking and navigation of interplanetary spacecraft missions. One of the most …
H Shafienya, AC Regan - Transportation Research Part C: Emerging …, 2022 - Elsevier
At the core of any flight schedule is the four dimensional (4D) trajectories which are comprised of three spatial dimensions with time added as the fourth dimension. Each …
This paper presents an automatic recognition system for classifying stones belonging to different Calabrian quarries (Southern Italy). The tool for stone recognition has been …
PN Kieu, HS Tran, TH Le, T Le… - 2018 10th International …, 2018 - ieeexplore.ieee.org
Image diagnosis is the significant problem in medicine. Nowadays, with modern facilities that allow doctors to diagnose early and accurately disease, limiting unnecessary treatment …
J Gupta, S Pathak, G Kumar - International Journal of Emerging …, 2022 - researchgate.net
Image classification is critical and significant research problems in computer vision applications such as facial expression classification, satellite image classification, and plant …