Performance of path loss models over mid-band and high-band channels for 5G communication networks: A review

FE Shaibu, EN Onwuka, N Salawu, SS Oyewobi… - Future Internet, 2023 - mdpi.com
The rapid development of 5G communication networks has ushered in a new era of high-
speed, low-latency wireless connectivity, as well as the enabling of transformative …

Survey of performance measurement indicators for lossless compression technique based on the objectives

T Hidayat, MH Zakaria, ANC Pee - 2020 3rd International …, 2020 - ieeexplore.ieee.org
The tremendous growth of data in the digital world has led to the need for efficient
techniques for storing and transmitting data. Performing the Compression action aims to …

A novel LMMSE based optimized Perez-Vega Zamanillo propagation path loss model in UHF/VHF bands for India

S Bolli, MZA Khan - Progress In Electromagnetics Research B, 2015 - jpier.org
Cognitive radio is the enabling technology for license-exempt access to the TV White
Spaces (TVWS). There is ever increasing demand of users in the broadcasting and …

Characterization of path loss for VHF terrestrial band in Aizawl, Mizoram (India)

T Jawhly, RC Tiwari - … and Information Processing: ICoEVCI 2018, India, 2018 - Springer
This paper reports the field strength measurement and analysis using various propagation
models such as the free space propagation model, Egli model, Hata model, Walfisch and …

GRG-MAPE and PCC-MAPE based on uncertainty-mathematical theory for path-loss model selection

J Yu, C Li, K Yang, W Chen - 2016 IEEE 83rd Vehicular …, 2016 - ieeexplore.ieee.org
In this contribution, Grey Relational Grade (GRG) and Pearson Correlation Coefficient (PCC)
which are originally used for automation area are proposed in path-loss model selection of …

Classification of power quality issues on the distribution grid due to the impact of electric vehicle charging using machine learning tool

G Prasath, A Pranav, V Sunil… - 2023 IEEE Guwahati …, 2023 - ieeexplore.ieee.org
Electric Vehicles are more beneficial to people in both financial and environmental aspects.
Due to the rapid increase in Electric Vehicles, the number of Electric Vehicle Charging …

A comparative study on NLOS error elimination methods based on channel measurement experiment

T Chang, W Wei, GAO Jingjie, S Xiaohong… - Xibei Gongye Daxue …, 2022 - jnwpu.org
In order to study the performance of different elimination methods on the distance estimation
forward error caused by the non-line-of-sight (NLOS) propagation of radio signals, this paper …

Comparing ARIMA, Linear Regression, Random Forest, and LSTM for Time Series Forecasting: A Study on Item Stock Predictions

B Nagendra, G Singh - 2023 4th IEEE Global Conference for …, 2023 - ieeexplore.ieee.org
The present work discusses about prediction of item inventory stock using four prominent
time series forecasting models. These models offer distinct strategies for predicting future …

Path loss model fitting for TV bands based on experimental measurements for urban environments in Kosovo

H Maloku, ZL Fazliu, E Sela… - 2019 42nd International …, 2019 - ieeexplore.ieee.org
Signal attenuation due to path loss can significantly affect the quality of a wireless
communication link. This makes path loss measurement and estimation an important aspect …

Comparative Analysis of Ensemble and Linear Machine Learning Models in the Task of House Price Prediction

I Zitoune, MK Arabov - 2024 International Russian Automation …, 2024 - ieeexplore.ieee.org
In today's evolving real estate market, accurately predicting real estate prices is important
given the crucial role real estate plays in any country's economy. With numerous methods …