The advent of pioneering artificial intelligence (AI) technologies such as multi-modality learning, deep learning, and federated learning is reshaping the field of image processing and machine understanding. These advancements are creating systems capable of synthesizing information from diverse sensory inputs, enhancing the AI’s ability to recognize, interpret, and interact with the world around it. Particularly, multi-modality learning leverages datasets that encompass multiple types of data, allowing for more robust and comprehensive models that outperform traditional single-modality approaches. As AI technologies evolve, they forge new paths in creating sophisticated algorithms that are transformative for a multitude of applications beyond traditional sectors. The refinement of these algorithms is crucial as they will underpin the next epoch of AI technology, with enhanced capabilities to decipher complex problems and generate insights.

We invite high-quality original research papers to describe recent and anticipated challenges or discoveries, as well as potential intelligent solutions for future mobile communications and networks. We welcome both theoretical and experimental papers. We expect the papers of the conference to serve as valuable references for a large audience from both academia and industry. How to apply emerging AI algorithms to communication networks effectively will be the interest of this meeting.

We invite high-quality original research papers to describe recent and anticipated challenges or discoveries, as well as potential intelligent solutions for future mobile communications and networks. We welcome both theoretical and experimental papers. We expect the papers of the conference to serve as valuable references for a large audience from both academia and industry. How to apply emerging AI algorithm to communication network effectively will be the interest of this meeting.

We welcome contributions from the following fields:

• Intelligent cooperative networks
• Intelligent massive MIMO communication systems
• Intelligent positioning and navigation systems
• Intelligent cooperative/distributed coding
• Intelligent radar signal processing & satellite communications
• Machine learning algorithms & cognitive radio networks
• Machine learning and information processing in wireless sensor networks
• Federated learning for wireless communication systems
• Federated learning applications
• Spacecraft & Space Network
• Pre-trained technology in communications
• Federated learning for wireless communication systems
• Federated learning applications
• Pre-trained technology in communications
• Machine Learning & Network Security
• Image Processing & Pattern Recognition for Intelligent Communications
• Natural Language Processing for Communication Systems
• Multi-Modality Learning in Intelligent Communication Applications

All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library.

Proceedings will be submitted for inclusion in leading indexing services, such as Web of Science, Compendex, Scopus, DBLP, EU Digital Library, Google Scholar, IO-Port, MathSciNet, Inspec, and Zentralblatt MATH.

Authors of selected papers will be invited to submit an extended version to:

• Mobile Networks and Applications (MONET) Journal [IF: 3.077 (2021)]

Additional publication opportunities:

• EAI Transactions series (Open Access)
• EAI/Springer Innovations in Communications and Computing Book Series
  (titles in this series are indexed in Ei Compendex, Web of Science & Scopus)

This event is organized by EAI.

EAI – European Alliance for Innovation is a non-profit organization and a professional community established in cooperation with the European Commission to empower the global research and innovation, and to promote cooperation between European and International ICT communities.

EAI’s vision is to foster excellence in research and innovation on the principles of transparency, objectivity, equality, and openness. Our guiding principle is community cooperation to create better research, provide fair recognition of excellence and transform best ideas into commercial value proposition.

EAI‘s mission is to create an environment that rewards excellence transparently, and builds recognition objectively regardless of age, economic status or country of origin, where no membership fees or closed door committees stand in the way of your research career.

Through these shared values, EAI leads the way toward advancing the world of research and innovation, empowering individuals and institutions for the good of society to fully benefit from the digital revolution.