… radio frequency requirements for implementing the Multi-Standard Radio (MSR) Base Station
[9, … However, uncertainty in the tenant forecasted demand can lead to inefficient admission. …

… various data types and resources used in the literature. Next, the essential data preprocessing
methods within the traffic prediction context are categorized, and the prediction methods …

… term traffic flow with high uncertainty … radio frequency identification technology (RFID), which
is a non-contact information transmission technology using a radio frequency signal through …

… , which follows the dynamic traffic requirements of each cell … ) will be left only with basic
radio frequency functionalities. This … wireless networks to improve QoS by reducing uncertainty […

… However, due to the uncertainty of relative motion between vehicles, the topology of the
VANETs is also highly dynamic, which directly leads to the instability of data transmission in the …

… , prediction errors are inevitable, resulting in traffic uncertainty. The variation of traffic demands
… BS Load: In this paper, we focus on investigating the flow-level network dynamics and …

… models capable of accurately predicting dynamic, link-level … Based on the dynamic traffic
profiles, we calculated the … of uncertainty from upstream models to downstream models. …

… -mode traffic demand forecasting method based on AVI data, … technologies, such as radio
frequency identification (RFID) … network to deal with the uncertainty of demand estimation [27]; …

… dynamic factors, which challenges the scheduling of shared bikes. In this article, a new
shared-bike demand forecasting model based on dynamic … There are many uncertainties that …

… dynamics of mobility in every city. In this work, the problem of modeling and predicting transport
demand … new mobility mesh-grid, and transport demand is binned into short time intervals…