Deep journalism and DeepJournal V1. 0: a data-driven deep learning approach to discover parameters for transportation

I Ahmad, F Alqurashi, E Abozinadah, R Mehmood - Sustainability, 2022 - mdpi.com
We live in a complex world characterised by complex people, complex times, and complex
social, technological, economic, and ecological environments. The broad aim of our work is …

Empowering real-time traffic reporting systems with nlp-processed social media data

X Wan, MC Lucic, H Ghazzai… - IEEE Open Journal of …, 2020 - ieeexplore.ieee.org
Current urbanization trends are leading to heightened demand of smarter technologies to
facilitate a variety of applications in intelligent transportation systems. Automated …

An approach to the presumptive detection of road incidents in Cuenca, Ecuador using the data from the social media twitter and Spanish natural language processing

PE Loja-Morocho, RT Reyes-Duchitanga… - … Conference on Smart …, 2022 - Springer
The road situation in Ecuador, specifically in the city of Cuenca and its surroundings, can
vary according to various aspects related mainly to the weather, or traffic incidents caused …

Deep journalism and DeepJournal V1. 0: a data-driven deep learning approach to discover parameters for transportation (as a case study)

I Ahmad, F Alqurashi, E Abozinadah, R Mehmood - 2022 - preprints.org
We live in a complex world characterised by complex people, complex times, and complex
social, technological, and ecological environments. There is clear evidence that …

[图书][B] A Generic Data-Driven Recommendation Systems for Smart Transportation Applications

X Wan - 2021 - search.proquest.com
Current urbanization trends are leading to heightened demand of smarter technologies to
facilitate a variety of applications in smart cities and, particularly, Intelligent Transportation …