Artificial neural networks for photonic applications—from algorithms to implementation: tutorial

P Freire, E Manuylovich, JE Prilepsky… - Advances in Optics and …, 2023 - opg.optica.org
This tutorial–review on applications of artificial neural networks in photonics targets a broad
audience, ranging from optical research and engineering communities to computer science …

From 5G to beyond: Passive optical network and multi-access edge computing integration for latency-sensitive applications

I Dias, L Ruan, C Ranaweera, E Wong - Optical Fiber Technology, 2023 - Elsevier
A recent paradigm shift in support of 5G-and-beyond (5GB), Human-to-Machine/Robot
(H2M/R), and the Tactile Internet has resulted in a surge of latency-sensitive applications …

Machine learning algorithms for smart and intelligent healthcare system in Society 5.0

IF Zamzami, K Pathoee, BB Gupta… - … Journal of Intelligent …, 2022 - Wiley Online Library
The pandemic has shown us that it is quite important to keep track record our health digitally.
And at the same time, it also showed us the great potential of Instruments like wearable …

Machine learning techniques in optical networks: a systematic mapping study

G Villa, C Tipantuña, D Guamán, GV Arévalo… - IEEE …, 2023 - ieeexplore.ieee.org
During the last decade, optical networks have become “smart networks”. Software-defined
networks, software-defined optical networks, and elastic optical networks are some …

Achieving low-latency human-to-machine (H2M) applications: An understanding of H2M traffic for AI-facilitated bandwidth allocation

L Ruan, MPI Dias, E Wong - IEEE Internet of things journal, 2020 - ieeexplore.ieee.org
Human-controlled and haptic feedback data in emerging Tactile Internet human-to-machine
(H2M) applications require stringent low-latency transmission. Understanding the traffic …

Middle school students' learning of social studies in the video and 360-degree videos contexts

W Daher, H Sleem - IEEE Access, 2021 - ieeexplore.ieee.org
Video-based and 360-Degree Video-based learning is still not spread in the social studies
classroom. The present research intends to study the influence of these tools on seventh …

[HTML][HTML] Dynamic spectrum assignment in passive optical networks based on optical integrated microring resonators using machine learning and a routing, modulation …

AF Calvo-Salcedo, NG González… - Applied Sciences, 2023 - mdpi.com
The rising demand for bandwidth in optical communication networks has led to the need for
more efficient solutions for spectrum allocation. This article presents a solution to enhance …

Analysis of EPON–WiMAX and EPON–LTE integrated networks with power consumption modeling

MA Maher, FEA El-Samie, O Zahran - Journal of Optics, 2024 - Springer
Research on energy consumption and bandwidth allocation is the basis for achieving the
standard of service and fairness requirements for various traffic classes within the integrated …

A Novel Temporal Dynamic Wavelength Bandwidth Allocation based on Long-Short-Term-Memory in NG-EPON

AT Liem, IS Hwang, E Ganesan, SW Taju… - IEEE …, 2023 - ieeexplore.ieee.org
Optical networks have undergone a remarkable transformation with the adoption of Artificial
Intelligence (AI) techniques such as Machine Learning (ML) and Deep Learning (DL). The …

An opportunistic vehicle-based task assignment for IoT offloading

K Sarieddine, H Artail, H Safa - Computer Networks, 2022 - Elsevier
IoT is one of the most prolific origins of data that is collected from sensory inputs. IoT devices
are characterized by low computational power, thus motivating the computation offloading …