Lambda architecture can provide machine learning solutions for big data. Context agnostic trajectory prediction can be achieved for certain applications. IBk algorithm provides better results than LWL for naval trajectory predictions. Streaming analysis is more erratic than traditional classification algorithms.
Sep 29, 2019 · Abstract:Predicting the next position of movable objects has been a problem for at least the last three decades, referred to as trajectory ...
Lambda architecture can provide machine learning solutions for big data. Context agnostic trajectory prediction can be achieved for certain applications.
Predicting the next position of movable objects has been a problem for at least the last three decades, referred to as 'trajectory prediction'.
A semi-supervised convolutional autoencoder (CAE) model for trajectory classification which is able to provide high-precision classification of mobility ...
The experimental results presented prove that each part of the λ-Architecture performs well at certain targets, making a combination of these parts a necessity ...
Predicting the next position of movable objects has been a problem for at least the last three decades, referred to as trajectory prediction.
Context agnostic trajectory prediction based on λ-architecture. E Psomakelis, K Tserpes, D Zissis, D Anagnostopoulos, T Varvarigou. Future Generation Computer ...
Context agnostic trajectory prediction based on λ-architecture. E Psomakelis, K Tserpes, D Zissis, D Anagnostopoulos, T Varvarigou. Future Generation Computer ...
Predicting the next position of movable objects has been a problem for at least the last three decades, referred to as 'trajectory prediction'.