A multi-task deep learning model for short-term taxi demand forecasting considering spatiotemporal dependences
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Traffic and Transportation Engineering"
DOI: 10.1016/j.jtte.2019.07.002
Abstract: Abstract Short-term taxi demand forecasting is of great importance to incentivize vacant cars moving from over-supply regions to over-demand regions, which can minimize the wait time for passengers and drivers. With the consideration of spatiotemporal… read more here.
Keywords: task deep; multi task; deep learning; model ... See more keywords
Profiling prediction of nuclear receptor modulators with multi-task deep learning methods: toward the virtual screening
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac351
Abstract: Nuclear receptors (NRs) are ligand-activated transcription factors, which constitute one of the most important targets for drug discovery. Current computational strategies mainly focus on a single target, and the transfer of learned knowledge among NRs… read more here.
Keywords: virtual screening; profiling prediction; task; multi task ... See more keywords
Joint Learning of Degradation Assessment and RUL Prediction for Aeroengines via Dual-Task Deep LSTM Networks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2019.2900295
Abstract: Health assessment and prognostics are two key tasks within the prognostics and health management frame of equipment. However, existing works are performing these two tasks separately and hierarchically. In this paper, we design and establish… read more here.
Keywords: assessment; joint learning; learning degradation; prediction ... See more keywords
Multi-task deep neural network (MT-DNN) enabled optical performance monitoring from directly detected PDM-QAM signals.
Sign Up to like & getrecommendations! Published in 2019 at "Optics express"
DOI: 10.1364/oe.27.019062
Abstract: We experimentally demonstrate a multi-task deep neutral network (MT-DNN) enabled optical performance monitoring (OPM) for PDM-QPSK/8QAM/16QAM signals, by using the asynchronous amplitude histogram (AAH) after the direct detection. Consequently, we can simultaneously realize the modulation… read more here.
Keywords: dnn; performance; pdm; network dnn ... See more keywords
Economy Estimation of Mainland China at County-Level Based on Landsat Images and Multi-Task Deep Learning Framework
Sign Up to like & getrecommendations! Published in 2020 at "Photogrammetric Engineering and Remote Sensing"
DOI: 10.14358/pers.86.2.99
Abstract: The social-economic statistics collected from local governments are the main access for the central government to achieve national economic circumstance, especially for China. However, the statistics of almost 10% of national counties are missing or… read more here.
Keywords: multi task; task deep; landsat images; county level ... See more keywords