Trip-oriented travel time prediction (TOTTP) with historical vehicle trajectories
Sign Up to like & getrecommendations! Published in 2017 at "Frontiers of Earth Science"
DOI: 10.1007/s11707-016-0634-8
Abstract: Accurate travel time prediction is undoubtedly of importance to both traffic managers and travelers. In highly-urbanized areas, trip-oriented travel time prediction (TOTTP) is valuable to travelers rather than traffic managers as the former usually expect… read more here.
Keywords: time prediction; trip oriented; oriented travel; time ... See more keywords
Impact time and angle control guidance independent of time-to-go prediction
Sign Up to like & getrecommendations! Published in 2019 at "Aerospace Science and Technology"
DOI: 10.1016/j.ast.2019.01.047
Abstract: Abstract A novel cruise guidance method that can meet the terminal latitude and longitude, time and angle constraints independent of time-to-go prediction is studied in this paper. The impact time and angle control guidance (ITACG)… read more here.
Keywords: time angle; time; time prediction; impact time ... See more keywords
Evaluation and application of machine learning-based retention time prediction for suspect screening of pesticides and pesticide transformation products in LC-HRMS.
Sign Up to like & getrecommendations! Published in 2020 at "Chemosphere"
DOI: 10.1016/j.chemosphere.2020.129447
Abstract: Computational QSAR models have gradually been preferred for retention time prediction in data mining of emerging environmental contaminants using liquid chromatography coupled with mass spectrometry. Generally, the model performance relies on the components such as… read more here.
Keywords: pesticide transformation; time prediction; retention time; transformation products ... See more keywords
Integration of RNA-Seq and RPPA data for survival time prediction in cancer patients
Sign Up to like & getrecommendations! Published in 2017 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2017.08.028
Abstract: Integration of several types of patient data in a computational framework can accelerate the identification of more reliable biomarkers, especially for prognostic purposes. This study aims to identify biomarkers that can successfully predict the potential… read more here.
Keywords: survival time; time prediction; integration; time ... See more keywords
The METLIN small molecule dataset for machine learning-based retention time prediction
Sign Up to like & getrecommendations! Published in 2019 at "Nature Communications"
DOI: 10.1038/s41467-019-13680-7
Abstract: Machine learning has been extensively applied in small molecule analysis to predict a wide range of molecular properties and processes including mass spectrometry fragmentation or chromatographic retention time. However, current approaches for retention time prediction… read more here.
Keywords: time prediction; machine learning; small molecule; retention time ... See more keywords
Integrated framework for real-time urban network travel time prediction on sparse probe data
Sign Up to like & getrecommendations! Published in 2018 at "Iet Intelligent Transport Systems"
DOI: 10.1049/iet-its.2017.0113
Abstract: The study presents the methodology and system architecture of an integrated urban road network travel time prediction framework based on low-frequency probe vehicle data. Intended applications include real-time network traffic management, vehicle routing and information… read more here.
Keywords: time prediction; network; real time; time ... See more keywords
Recent ENSO evolution and its real-time prediction challenges
Sign Up to like & getrecommendations! Published in 2022 at "National Science Review"
DOI: 10.1093/nsr/nwac052
Abstract: The frequent occurrences of the second-year surface cooling condition in the eastern equatorial Pacific, as observed in late 2021, are attributed to decadal changes in the thermocline depth, which determine the relative dominances of local… read more here.
Keywords: time prediction; enso evolution; evolution real; real time ... See more keywords
Continuous-Time Prediction of Industrial Paste Thickener System With Differential ODE-Net
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2022.105464
Abstract: It is crucial to predict the outputs of a thickening system, including the underflow concentration (UC) and mud pressure, for optimal control of the process. The proliferation of industrial sensors and the availability of thickening-system… read more here.
Keywords: thickener; system; time; time prediction ... See more keywords
Constructing Cooperative Intelligent Transport Systems for Travel Time Prediction With Deep Learning Approaches
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3148269
Abstract: Drivers and traffic system planners require accurate forecasting of future travel times. To alleviate traffic congestion on Taiwan’s Provincial Highway No. 61, this study considers temporal (weekdays, weekends or continuous holidays) and spatial characteristics (road… read more here.
Keywords: travel time; time; traffic; time prediction ... See more keywords
Travel time prediction of urban public transportation based on detection of single routes
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0262535
Abstract: Improving travel time prediction for public transit effectively enhances service reliability, optimizes travel structure, and alleviates traffic problems. Its greater time-variance and uncertainty make predictions for short travel times (≤35min) more subject to be influenced… read more here.
Keywords: travel time; time; prediction model; time prediction ... See more keywords
An attention-based recurrent learning model for short-term travel time prediction
Sign Up to like & getrecommendations! Published in 2022 at "PLOS ONE"
DOI: 10.1371/journal.pone.0278064
Abstract: With the advent of Big Data technology and the Internet of Things, Intelligent Transportation Systems (ITS) have become inevitable for future transportation networks. Travel time prediction (TTP) is an essential part of ITS and plays… read more here.
Keywords: travel time; time; time prediction; model ... See more keywords