SCOPE

International conference on AI, Machine Learning in Communications and Networks (AIMLNET 2021) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence, Machine Learning impacts on Communications and Networks. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Machine Learning and networks in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

Authors are solicited to contribute to the Conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.

TOPICS OF INTEREST

• AI, Machine Learning algorithm & Cognitive Radio Networks

• AI, Machine Learning and Cyber Security

• AI, Machine learning for Transport Layer Congestion Control

• AI, Machine learning techniques for networks and data mining

• AI, Machine Learning and Intelligent Communications

• AI, Machine learning for IoT, Smart cities and Vehicular Networks

• AI, Machine learning in Network Automation

• Resource and Network Optimization using AI, ML

• AI, Machine learning in network theory and methodologies

• AI, Machine learning in Network analytics

• AI, Machine learning in Network applications

• AI, Machine Learning on Information and Signal Processing

• AI, ML based Measurement & Performance Analysis

• AI, ML for virtualization and SDN

• AI, ML in Wireless, Mobile and Satellite Communications

• AI, ML trends & Developments in Computer Networks