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ICTAI · Registering as Listener

International Conference on Telecommunications and Artificial Intelligence

21 - 22 May 2027 Ottawa, Canada Standard / Physical Participation
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$115
virtual · $175 in person
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Registration summary

ConferenceICTAI
ModeStandard / Physical
ParticipationListener
Registration fee$175.00
Bank charges (5.8%)$10.15
Total payable$185.15
Includes all bank processing charges — the amount above is exactly what will be charged.

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Benefits of Registering as Listener

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• Conference Session Tracks •
SDGs
SDG-Aligned Research Themes

ICTAI conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 7 - Affordable and Clean Energy SDG 8 - Decent Work and Economic Growth SDG 9 - Industry, Innovation and Infrastructure SDG 11 - Sustainable Cities and Communities
01 AI Applications in Telecommunications +
This track focuses on the integration of artificial intelligence in telecommunications, exploring innovative applications that enhance service delivery. Researchers are invited to present studies on AI-driven solutions that improve network performance and customer experience.
02 Machine Learning for Network Optimization +
This session will delve into the utilization of machine learning techniques for optimizing telecommunications networks. Contributions should highlight novel algorithms and their effectiveness in improving network efficiency and reliability.
03 Intelligent Systems in Communication Networks +
This track aims to explore the development and deployment of intelligent systems within communication networks. Papers should address the role of AI in automating processes and enhancing decision-making in real-time network management.
04 Predictive Analytics in Telecommunications +
This session invites research on the application of predictive analytics to forecast trends and behaviors in telecommunications. Studies should demonstrate how predictive models can inform strategic decisions and optimize resource allocation.
05 Automation Strategies in AI-Driven Telecom Solutions +
This track examines the strategies for implementing automation in telecommunications through AI technologies. Contributions should discuss frameworks that facilitate seamless integration and operational efficiency.
06 Deep Learning Techniques for Telecom Data Analysis +
This session will focus on the application of deep learning methodologies to analyze large datasets in telecommunications. Researchers are encouraged to present findings on the effectiveness of these techniques in extracting actionable insights.
07 AI Frameworks for Communication Systems +
This track explores various AI frameworks designed specifically for enhancing communication systems. Papers should evaluate the performance and adaptability of these frameworks in real-world telecommunications scenarios.
08 Data Analytics in Telecommunications +
This session will cover the role of data analytics in transforming telecommunications operations and strategies. Contributions should highlight case studies that showcase successful data-driven decision-making processes.
09 AI-Driven Innovation Strategies in Telecom +
This track invites discussions on innovative strategies enabled by AI technologies in the telecommunications sector. Researchers should present insights on how these strategies can lead to competitive advantages and market growth.
10 System Optimization through AI Techniques +
This session focuses on the optimization of telecommunications systems using advanced AI techniques. Papers should detail methodologies that enhance system performance and user satisfaction.
11 Challenges and Future Directions in AI and Telecommunications +
This track aims to address the challenges faced in the integration of AI within telecommunications and explore future research directions. Contributions should provide critical insights into overcoming barriers and advancing the field.