[HTML][HTML] Bike-sharing demand prediction at community level under COVID-19 using deep learning

A Mehdizadeh Dastjerdi, C Morency - Sensors, 2022 - mdpi.com
An important question in planning and designing bike-sharing services is to support the
user's travel demand by allocating bikes at the stations in an efficient and reliable manner …

[HTML][HTML] Demand forecasting model for time-series pharmaceutical data using shallow and deep neural network model

R Rathipriya, AA Abdul Rahman… - Neural Computing and …, 2023 - Springer
Demand forecasting is a scientific and methodical assessment of future demand for a critical
product. The effective Demand Forecast Model (DFM) enables pharmaceutical companies to …

A tensor-based deep LSTM forecasting model capturing the intrinsic connection in multivariate time series

Z Fu, Y Wu, X Liu - Applied Intelligence, 2023 - Springer
Multivariate time series forecasting has many practical applications in a variety of domains
such as commerce, weather, environment, and transportation. There exist so many methods …

A Systematic Literature Review on Machine Learning in Shared Mobility

J Teusch, JN Gremmel, C Koetsier… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Shared mobility has emerged as a sustainable alternative to both private transportation and
traditional public transport, promising to reduce the number of private vehicles on roads …

Forecasting public bicycle rental demand using an optimized eXtreme Gradient Boosting model

Y Hu, Z Sun, W Li, L Pei - Journal of Intelligent & Fuzzy …, 2022 - content.iospress.com
The rational distribution of public bicycle rental fleets is crucial for improving the efficiency of
public bicycle programs. The accurate prediction of the demand for public bicycles is critical …

[HTML][HTML] A Unified Fourth-Order Tensor-Based Smart Community System

C Liu, H Wu, J Wang, M Wang - Sensors, 2020 - mdpi.com
Empowered by the ubiquitous sensing capabilities of Internet of Things (IoT) technologies,
smart communities could benefit our daily life in many aspects. Various smart community …

Predicting Station-Level Bike Demand in Bike-Sharing Systems Using a Hybrid Neural Network

C Jurriaans, S Rotman… - … Station-Level Bike …, 2023 - research.tilburguniversity.edu
Supply-demand imbalances are a prevalent issue in bike-sharing systems with docking
stations, hindering effective operation and use of the system. To improve efficiency for both …