Processing ANN traffic predictions for RAN energy efficiency

A novel smart lightweight visual attention model for fine-grained vehicle recognition

A Boukerche, X Ma - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
Vehicle Make and Model Recognition (VMMR) requires fast and accurate recognition of a
vehicle's information. Generally, the vision-based VMMR method recognizes different …
被引用次数：12 相关文章 所有 2 个版本

Non-parametric models with optimized training strategy for vehicles traffic flow prediction

J Wang, A Boukerche - Computer Networks, 2021 - Elsevier
With the rapid development of information technology at the beginning of the 21st century,
the traditional transportation system is rapidly transforming to Intelligent Transportation …
被引用次数：8 相关文章

RAN energy efficiency and failure rate through ANN traffic predictions processing

G Vallero, D Renga, M Meo, MA Marsan - Computer Communications, 2022 - Elsevier
In this paper, we focus on the application of ML tools to resource management in a portion of
a Radio Access Network (RAN) and, in particular, to Base Station (BS) activation and …
被引用次数：4 相关文章 所有 3 个版本
[PDF] arxiv.org

Cluster-then-Match: Efficient Management of Human-Centric, Cell-Less 6G Networks

E Chiaramello, CF Chiasserini, F Malandrino… - arXiv preprint arXiv …, 2024 - arxiv.org
In 5G and beyond (5GB) networks, the notion of cell tends to blur, as a set of points-of-
access (PoAs) using different technologies often cover overlapping areas. In this context …
相关文章 所有 3 个版本
[PDF] polito.it

[PDF][PDF] Machine Learning for Predicting Renewable Energy Generation

D Cappuccio - 2021 - webthesis.biblio.polito.it
In the last few decades, the world has faced a plethora of challenges related to energy
sustainability, availability, and security. Since the negative effects on the environment and …
相关文章 所有 2 个版本