Deep Learning Based LSTM Model for Predicting the Number of Passengers for Public Transport Bus Operators
The bus public transportation system has low reliability and ability to predict the number of
passengers. The accuracy of predicting the number of passengers by public transport bus …
passengers. The accuracy of predicting the number of passengers by public transport bus …
Prediction of Solar Radiation Data for Garlic Production in Magelang Regency Using Long Short-Term Memory
MS Safrudin, IS Sitanggang, HA Adrianto… - Jurnal Online …, 2024 - join.if.uinsgd.ac.id
Garlic importation in Indonesia is frequently carried out to meet the high domestic market
demand. To reduce dependency on imports, the development of local garlic production is …
demand. To reduce dependency on imports, the development of local garlic production is …
Hybrid Deep Learning Model of LSTM and BiLSTM for Transjakarta Passenger Prediction
A crucial role in the BRT transportation system's planning, development, and operation is the
prediction of passenger numbers. Using time-series data, it is necessary to develop careful …
prediction of passenger numbers. Using time-series data, it is necessary to develop careful …
DA-RNN-Based Bus Arrival Time Prediction Model
Z Li - … Journal of Intelligent Transportation Systems Research, 2024 - Springer
Accurate prediction of bus arrival time is crucial for constructing smart cities and intelligent
transportation systems. Objectivity and clarity must be maintained throughout to ensure …
transportation systems. Objectivity and clarity must be maintained throughout to ensure …
Non-Invasive Blood Pressure Detection Method Based on CNN-LSTM-LightGBM Combination Model
Q Chen, X Chen, Y Chen, L Song - 2023 42nd Chinese Control …, 2023 - ieeexplore.ieee.org
To improve the accuracy of non-invasive blood pressure prediction models and reduce the
influence of individual body differences and the shortcomings of single prediction models on …
influence of individual body differences and the shortcomings of single prediction models on …