[1]
|
On the interpretability of machine learning regression for path-loss prediction of millimeter-wave links
Expert Systems with Applications,
2023
DOI:10.1016/j.eswa.2022.119324
|
|
|
[2]
|
Spectrum sensing-focused cognitive radio network for 5G revolution
Frontiers in Environmental Science,
2023
DOI:10.3389/fenvs.2023.1113832
|
|
|
[3]
|
Application of Intelligent Digital Technology in Load Forecasting of New Power Systems
2023 International Conference on Network, Multimedia and Information Technology (NMITCON),
2023
DOI:10.1109/NMITCON58196.2023.10276027
|
|
|
[4]
|
Comparison of machine learning path loss model for wireless sensor networks in cassava crops
2023 IEEE Colombian Caribbean Conference (C3),
2023
DOI:10.1109/C358072.2023.10436224
|
|
|
[5]
|
On the interpretability of machine learning regression for path-loss prediction of millimeter-wave links
Expert Systems with Applications,
2023
DOI:10.1016/j.eswa.2022.119324
|
|
|
[6]
|
Anchor link prediction across social networks based on multiple consistency
Knowledge-Based Systems,
2022
DOI:10.1016/j.knosys.2022.109939
|
|
|
[7]
|
Anchor link prediction across social networks based on multiple consistency
Knowledge-Based Systems,
2022
DOI:10.1016/j.knosys.2022.109939
|
|
|
[8]
|
Improving Path Loss Prediction Using Environmental Feature Extraction from Satellite Images: Hand-Crafted vs. Convolutional Neural Network
Applied Sciences,
2022
DOI:10.3390/app12157685
|
|
|
[9]
|
A Review of Artificial Intelligence and Machine Learning for Incident Detectors in Road Transport Systems
Mathematical and Computational Applications,
2022
DOI:10.3390/mca27050077
|
|
|
[10]
|
Path Loss Prediction in Tropical Regions using Machine Learning Techniques: A Case Study
Electronics,
2022
DOI:10.3390/electronics11172711
|
|
|
[11]
|
Predicting the Frequency Bands and the Path Loss in Wireless Communication Systems using Random Forests
2022 3rd International Conference on Smart Electronics and Communication (ICOSEC),
2022
DOI:10.1109/ICOSEC54921.2022.9951963
|
|
|