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 …
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 …
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 …
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 …
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 …
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 …