all AI news
TLETA: Deep Transfer Learning and Integrated Cellular Knowledge for Estimated Time of Arrival Prediction. (arXiv:2206.08513v1 [cs.LG])
June 20, 2022, 1:10 a.m. | Hieu Tran, Son Nguyen, I-Ling Yen, Farokh Bastani
cs.LG updates on arXiv.org arxiv.org
Vehicle arrival time prediction has been studied widely. With the emergence
of IoT devices and deep learning techniques, estimated time of arrival (ETA)
has become a critical component in intelligent transportation systems. Though
many tools exist for ETA, ETA for special vehicles, such as ambulances, fire
engines, etc., is still challenging due to the limited amount of traffic data
for special vehicles. Existing works use one model for all types of vehicles,
which can lead to low accuracy. To tackle …
arxiv cellular knowledge learning lg prediction time transfer transfer learning
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Senior ML Researcher - 3D Geometry Processing | 3D Shape Generation | 3D Mesh Data
@ Promaton | Europe
Analytics Engineer
@ CircleCI | Remote (US), Remote (Canada), San Francisco, Denver
Bilingual Executive Assistant/Data Analyst - (French and English) - Export
@ Dangote Group | Lagos, Lagos, Nigeria
Workday Services Data Lead
@ WPP | Mexico City, Mexico
Business Data Analyst
@ Nordea | Tallinn, EE, 11415
Data Integrity Lead
@ BioNTech SE | Gaithersburg, MD, US, MD 20878