most citedShort-Term Traffic Flow Prediction Using Variational LSTM Networks

5 citations · 5 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CL2020

Leveraging ParsBERT and Pretrained mT5 for Persian Abstractive Text Summarization

Mehrdad Farahani, Mohammad Gharachorloo, Mohammad Manthouri

Text summarization is one of the most critical Natural Language Processing (NLP) tasks. More and more researches are conducted in this field every day. Pre-trained transformer-base…

cs.LG2020★ 5 cited

Short-Term Traffic Flow Prediction Using Variational LSTM Networks

Mehrdad Farahani, Marzieh Farahani, Mohammad Manthouri +1

Traffic flow characteristics are one of the most critical decision-making and traffic policing factors in a region. Awareness of the predicted status of the traffic flow has prime…