Machine learning for networking 8th International Conference, MLN 2025, Paris, France, December 2-4, 2025 revised selected papers Selma Boumerdassi, Nour El-Houda Yellas, Éric Renault, editors

Format:

Book

Conference/Event

Conference Name:

International Conference on Machine Learning for Networking (8th : 2025 : Paris, France)

Series:

Lecture notes in computer science ; 16424.

Lecture notes in computer science 1611-3349 16424

Language:

English

Subjects (All):

Machine learning.

Computer networks.

Genre:

proceedings (reports)

Conference papers and proceedings

Conference papers and proceedings.

Physical Description:

1 online resource

Place of Publication:

Cham, Switzerland Springer [2026]

Summary:

"This book constitutes the refereed proceedings of the 8th International Conference on Machine Learning for Networking, MLN 2025, held in Paris, France, during December 2-4, 2025. The 14 full papers presented in this book were carefully reviewed and selected from 30 submissions. The International Conference on Machine Learning for Networking (MLN) aims at providing a top forum for researchers and practitioners to present and discuss new trends in machine learning, deep learning, pattern recognition and optimization for network architectures and services"-- Springer Nature Link

Contents:

Slotted reinforcement learning‑based radio resource allocation in sliced 5G networks / Gauthier Meffe, Philippe Owezarski, and Pascal Berthou

Bone fracture recognition using robust deep learning techniques / Samson Akinpelu and Serestina Viriri

Machine learning‑based region segmentation for enhanced Wi‑Fi fingerprinting in indoor localization / Mohamad Anas Mohamad Nour, Saleh Alshami, and Rashid Ali

Enhanced DiNATrAX for multi‑protocol anomaly detection / Maham Kayani, Nahom Getachew Gari, Nardos Hadis Haile, Christophe Maudoux, and Selma Boumerdassi

Ensemble neuro‑symbolic AI and logic tensor networks for detecting fraud on the Ethereum blockchain / Zainab Khallouf and Pierre‑François Marteau

Generative adversarial network framework for synthetic rainfall generation and climate resilience planning / Patience Akinpelu, Deborah Olaniyan, Samson Akinpelu, Julius Olaniyan, and Serestina Viriri

Intelligent aggregation of single‑sensor classifiers for enhanced structural health monitoring networks / Mohamed Abdelillah Fidma, Jean‑François Bercher, and Franziska Schmidt

Enhancing the assessment of the quality of explanations for AI‑based network IDS / Audrey Fongue, Jerry Lonlac, Patrick Sondi, and Ahmed Meddahi

An availability management framework for microservices‑based safety‑critical CIoT systems / Hassaan Siddiqui and Ferhat Khendek

Dataflow for predicting stone degradation in built heritage up to 2100 / Diyane David Nonon Saa, Cyril Rabat, Céline Schneider, Patricia Vazquez, and Hacéne Fouchal

Balancing accuracy and energy : an empirical study of optimal subset size selection / Oumayma Haddaji, Olivier Brun, and Balakrishna Prabhu

Multi‑objective IoT service placement in cloud‑fog‑edge environments using deep reinforcement learning / Mohamed Bouaziz, Hassan Hassan, Abdel Kader Chabi Sika Boni, and Khalil Drira

Predicting intents : LSTM‑based modeling / Nagham Hachem, Manh Cuong Nguyen, and Éric Renault

Multi‑objective deep RLL‑based RAT selection for V2X communication / Solomon Orduen Yese, Sara Berri, and Arsenia Chorti

Notes:

Includes bibliographical references and index

Online resource; title from PDF title page (Springer Nature Link, viewed May 28, 2026)

Other Format:

Print version International Conference on Machine Learning for Networking (8th : 2025 : Paris, France) Machine learning for networking

ISBN:

9783032184948

3032184940

OCLC:

1592831491

Access Restriction:

Restricted for use by site license