Adaptive multiservice heterogeneous network selection scheme in mobile edge computing
A Zhu, S Guo, B Liu, M Ma, J Yao… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
With the coming of the fifth-generation (5G) mobile communications, in mobile edge
computing (MEC), the growth of user services and the personalization of QoS requirements …
computing (MEC), the growth of user services and the personalization of QoS requirements …
A framework for selecting machine learning models using TOPSIS
MYL Vazquezl, LAB Peñafiel, SXS Muñoz… - Advances in Artificial …, 2021 - Springer
In machine learning, it is common when multiple algorithms are applied to different data sets
that are complex because of their accelerated growth, a decision problem arises, ie, how to …
that are complex because of their accelerated growth, a decision problem arises, ie, how to …
i5GAccess: Nash Q-learning based multi-service edge users access in 5G heterogeneous networks
A Zhu, S Guo, M Ma - … Symposium on Quality of Service (IWQoS …, 2020 - ieeexplore.ieee.org
In the heterogeneous wireless networks, it remains a significant challenge to achieve an
efficient network selection strategy to satisfy the demands of a massive number of edge …
efficient network selection strategy to satisfy the demands of a massive number of edge …
[PDF][PDF] PEMBINAAN INDEKS JENAYAH CURI KENDERAAN DENGAN PENDEKATAN BERBILANG KRITERIUM DALAM
P KABUR, MFBIN ABD KHABIR - core.ac.uk
Indeks merupakan satu pengukur prestasi sesuatu keadaan yang memaparkan nilai skor
akhir yang terhasil daripada gabungan beberapa nilai kriteria secara matematik. Indeks …
akhir yang terhasil daripada gabungan beberapa nilai kriteria secara matematik. Indeks …
[引用][C] Decision Making Patient Assistive Strategies in Wireless Body Area Networks for Remote Healthcare System
R Latha, P Vetrivelan - Int. J. Recent Techn. Eng, 2019