Frontiers in Communications and Networks | Data Science for Communications

Original Research

Accepted on 19 Aug 2025

Investigating Consumers' Behavioral Intentions in the Adoption of 5G Mobile Networks: A Holistic Approach to Technology Acceptance and Business Process Integration

in Data Science for Communications

Heru Susanto
Izzati Nadiah
Alifya Kayla Shafa Susanto

Frontiers in Communications and Networks

doi 10.3389/frcmn.2025.1594378

134 views

Perspective

Published on 08 Aug 2025

From connectivity to autonomy: the dawn of self-evolving communication systems

in Data Science for Communications

Zeinab Nezami
Syed Danial Ali Shah
Maryam Hafeez
Karim Djemame
Syed Ali Raza Zaidi

Frontiers in Communications and Networks

doi 10.3389/frcmn.2025.1606493

776 views

Original Research

Published on 10 Jun 2024

Health of Things Melanoma Detection System—detection and segmentation of melanoma in dermoscopic images applied to edge computing using deep learning and fine-tuning models

in Data Science for Communications

José Jerovane Da Costa Nascimento
Adriell Gomes Marques
Yasmim Osório Adelino Rodrigues
Guilherme Freire Brilhante Severiano
Icaro de Sousa Rodrigues
Carlos Dourado
Luís Fabrício De Freitas Souza

Frontiers in Communications and Networks

doi 10.3389/frcmn.2024.1376191

3,279 views
5 citations

Original Research

Published on 07 Oct 2021

Entropy-Driven Stochastic Federated Learning in Non-IID 6G Edge-RAN

in Data Science for Communications

Brahim Aamer
Hatim Chergui
Mustapha Benjillali
Christos Verikoukis

Frontiers in Communications and Networks

doi 10.3389/frcmn.2021.739414

2,652 views
2 citations

Original Research

Published on 10 Sep 2021

Federated Learning for Audio Semantic Communication

in Data Science for Communications

Haonan Tong
Zhaohui Yang
Sihua Wang
Ye Hu
Omid Semiari
Walid Saad
Changchuan Yin

Frontiers in Communications and Networks

doi 10.3389/frcmn.2021.734402

6,602 views
34 citations

Original Research

Published on 12 Jul 2021

On Addressing Heterogeneity in Federated Learning for Autonomous Vehicles Connected to a Drone Orchestrator

in Data Science for Communications

Igor Donevski
Jimmy Jessen Nielsen
Petar Popovski

Frontiers in Communications and Networks

doi 10.3389/frcmn.2021.709946

2,936 views
7 citations

Original Research

Published on 29 Apr 2021

FedPARL: Client Activity and Resource-Oriented Lightweight Federated Learning Model for Resource-Constrained Heterogeneous IoT Environment

in Data Science for Communications

Ahmed Imteaj
M. Hadi Amini

Frontiers in Communications and Networks

doi 10.3389/frcmn.2021.657653

4,145 views
26 citations