Deeplora: Learning accurate path loss model for long distance links in lpwan

L Liu, Y Yao, Z Cao, M Zhang - IEEE INFOCOM 2021-IEEE …, 2021 - ieeexplore.ieee.org
LoRa (Long Range) is an emerging wireless technology that enables long-distance
communication and keeps low power consumption. Therefore, LoRa plays a more and more …

CNN-based mmWave path loss modeling for fixed wireless access in suburban scenarios

H Cheng, S Ma, H Lee - IEEE antennas and wireless …, 2020 - ieeexplore.ieee.org
Path loss modeling of millimeter waves is regarded as one of the most challenging problems
in the design of the fifth-generation (5G) mobile communication networks due to the high …

Indoor genetic algorithm-based 5G network planning using a machine learning model for path loss estimation

Y Hervis Santana, R Martinez Alonso, G Guillen Nieto… - Applied Sciences, 2022 - mdpi.com
Accurate wireless network planning is crucial for the deployment of new wireless services.
This usually requires the consecutive evaluation of many candidate solutions, which is only …

Deterministic 5G mmwave large-scale 3D path loss model for Lagos Island, Nigeria

SK Hinga, AA Atayero - IEEE Access, 2021 - ieeexplore.ieee.org
5G millimeter wave (mmWave) application in mobile connectivity to realize high-speed,
reliable communication is attributed with high path loss. This paper presents a detailed 3D …

[PDF][PDF] A Practical Approach to Indoor Path Loss Modeling Based on Deep Learning

S Ma, H Cheng, H Lee - Journal of Computing Science and …, 2021 - jcse.kiise.org
Deep learning has become one of the most powerful prediction approaches, and it can be
used to solve classification and regression problems. We present a novel deep learning …

[PDF][PDF] Prediction of Indoor Wireless Coverage from 3D Floor Plans Using Deep Convolutional Neural Networks.

Y Ansari, N Tiyal, EF Flushing, S Razak - LCN, 2021 - researchgate.net
With significant advancements in Machine Learning and Deep Learning, Convolutional
Neural Networks (CNNs) have shown promising results in handling classification and …

IndoorDRaGon: Data-Driven 3D Radio Propagation Modeling for Highly Dynamic 6G Environments

M Geis, H Schippers, M Danger… - … Wireless 2023; 28th …, 2023 - ieeexplore.ieee.org
Private 5G and future 6G networks offer significant potential for automation in vertical
domains but must face the challenge of dynamic and rapid adaptation to new operational …

Path Loss Models in Dense Urban Areas: A study of Lagos Island, Nigeria

SK Hinga, T Ogunfunmi - 2023 28th Asia Pacific Conference on …, 2023 - ieeexplore.ieee.org
Path loss is a major factor affecting the performance of wireless networks in dense urban
areas. This paper investigates the path loss models in Lagos Island, Nigeria, a dense urban …

[图书][B] Low-Power Artificial Intelligence of Things (AIoT) Systems

L Liu - 2023 - search.proquest.com
Abstract Internet-of-Things (IoT) is another excellent innovation after the Internet and mobile
networks in the information era, aiming at connecting billions of end-devices across scales …

3 Deep learning approaches in metastatic breast cancer detection

N Kemaloğlu, T Aydoğan, EU Küçüksille - Artificial Intelligence for Data …, 3 - degruyter.com
Breast cancer is one of the most common dangerous and fatal diseases in the world. Breast
cancer, which is usually observed in women, is also observed in men, although rarely …