Path Loss Prediction Based on Machine Learning Techniques: Principal Component Analysis, Artificial Neural Network, and Gaussian Process

Fast Radio Map Construction by using Adaptive Path Loss Model Interpolation in Large-Scale Building

(2019) Jingxue Bi et al.   SENSORS

Measurement and Analysis of Near-Ground Propagation Models under Different Terrains for Wireless Sensor Networks

(2019) Weisheng Tang et al.   SENSORS

Characterization of Path Loss and Large-Scale Fading for Rapid Intervention Team Communication in Underground Parking Garages

(2019) Seppe Van Brandt et al.   SENSORS

Path Loss Prediction Based on Machine Learning: Principle, Method, and Data Expansion

(2019) Yan Zhang et al.   Applied Sciences-Basel

A Real-Time Channel Prediction Model Based on Neural Networks for Dedicated Short-Range Communications

(2019) Zhang et al.   SENSORS

A Path Loss and Shadowing Model for Multilink Vehicle-to-Vehicle Channels in Urban Intersections

(2018) Mikael Nilsson et al.   SENSORS

Mean Absolute Percentage Error for regression models

(2016) Arnaud de Myttenaere et al.   NEUROCOMPUTING

Remark on “algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound constrained optimization”

(2011) José Luis Morales et al.   ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE

Path Loss Characteristics for IMT-Advanced Systems in Residential and Street Environments

(2010) Han-Shin Jo et al.   IEEE Antennas and Wireless Propagation Letters

Macrocell Path-Loss Prediction Using Artificial Neural Networks

(2010) E Ostlin et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY