Conference Information
AIoT 2024: International Conference on Artificial Intelligence of Things
http://www.ieee-aiot.org/Submission Date: |
2024-04-20 Extended |
Notification Date: |
2024-06-10 |
Conference Date: |
2024-07-24 |
Location: |
Melbourne, Australia |
Years: |
2 |
Viewed: 5508 Tracked: 1 Attend: 0
Call For Papers
IEEE AIoT 2024 aims at bringing together interested parties (universities, research centers, industries and stakeholders) from around the world working in the fields of AI and Internet of Things to exchange opinions, discuss brand-new ideas, developing innovative and emerging solutions, and establishing new collaborations. Scope and Objectives Artificial Intelligence (AI) and the Internet of Things (IoT) are two of the most rapidly evolving and interdependent fields of technology. The convergence of these two fields is leading to the creation of an emerging interdiscipline field, dubbed the Artificial Intelligence of Things (AIoT). The AIoT represents the integration of AI technologies into IoT systems and devices, enabling them to interact with their environment in more sophisticated and intelligent ways. By combining IoT with AI, the data collected by distributed nodes can be utilized by applying AI techniques such as machine learning and deep learning. As a result, machine learning capabilities are moved closer to the data source. The IEEE AIoT Conference aims to explore the integration of artificial intelligence (AI) technologies into the Internet of Things (IoT) systems and devices, enabling them to interact with their environment in more sophisticated and intelligent ways. The conference will focus on the following areas: AIoT Architectures, Frameworks, and Algorithms: Developing novel AIoT architectures, frameworks, and algorithms for deploying state-of-the-art machine learning and deep learning algorithms on IoT and edge devices, realising the so-called Edge AI or Edge Intelligence; AIoT Applications: Identifying and exploring new AIoT applications, including healthcare, smart homes, industrial automation, transportation, and digital agriculture; Standards and Interoperability: Developing standards and protocols for AIoT systems and ensuring interoperability between different platforms and devices; and Ethics and Security: Addressing ethical and security concerns related to AIoT, such as privacy, transparency, and accountability. Authors are cordially invited to submit their original papers within the eHealth area. The topics include but are not limited to: Edge Computing and Intelligence in AI and IoT Machine Learning for IoT Applications Mobile deployment of Large Language Models (LLMs) LLMs for AIoT applications Smart Cities: AI and IoT Solutions Security and Privacy in AI-driven IoT Systems 5G and its Impact on AI and IoT Blockchain Technology for Securing IoT Devices Human-Machine Interaction in IoT Environments IoT Sensors and Actuators: Innovations and Advances AI-driven Predictive Maintenance in IoT Energy-Efficient AI Algorithms for IoT Devices IoT in Healthcare: Applications and Challenges Industrial IoT (IIoT) and AI for Manufacturing Smart Agriculture: AI and IoT in Precision Farming Ethical Considerations in AI-powered IoT Systems IoT Standards and Interoperability Robotic Process Automation (RPA) in IoT AI-driven Automation in Supply Chain Management IoT Analytics and Big Data Processing AI in Edge Devices: Challenges and Solutions Wireless Sensor Networks in AI and IoT IoT for Environmental Monitoring and Sustainability AI and IoT in Transportation and Logistics Cross-domain Integration of AI and IoT Technologies
Last updated by Dou Sun in 2024-03-31
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Human-centric Computing and Information Sciences | Springer | |
Journal of Web Semantics | 2.100 | Elsevier |
World Wide Web | 2.700 | Springer |
SIGMOD Record | ACM | |
Computing and Informatics | Institute of Informatics, Slovakia | |
ACM Transactions on Modeling and Performance Evaluation of Computing Systems | 0.700 | ACM |
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