ANNOUNCEMENT: We are pleased to announce an online competition that will take place as part of the IoTI4 international workshop for the first time. Prospective participants are invited to design and develop a machine learning model capable of performing anomaly detection in either one of the following scenarios:
For additional information and registration instructions, please visit the competition's website.
Paper Submission: May 21 31, 2021
Acceptance Notification: June 11 14, 2021
Camera Ready (firm, no extensions): June 18, 2021
It is evident that IoT is entering multiple fields of everyday life. The proliferation of IoT devices as well as the numerous use cases reveal the very promising potentials of IoT in revolutionizing several aspects of common activities as well as business processes. The vision of interconnecting billions of devices in a holistic network, where machines communicate along with traditional human communications is now being realized, towards the formation of the Internet of Everything (as called by Cisco). The workshop focuses on Industrial Internet of Things systems and applications, which represent the highest value segment of the IoT market. The heavy research endeavors of last years have provided efficient solutions and enhanced technologies that enable the creation of such a network, overcoming several challenges stemming from the special attributes of device-to-device communications, embedded devices, and big data management.
The new challenge is to identify efficient ways of integrating IoT technologies in contemporary applications exploiting the potentials of real-time monitoring, interactive control, self-management, and data analytics towards “smart” behavior and enhanced performance.
The main scope of the “IoT Applications and Industry 4.0” (IoTI4) workshop is to identify and promote new techniques for the realization of promising IoT applications in various areas, including Industry 4.0 scenarios.
Thomas Lagkas, International Hellenic University, Greece
Panagiotis Sarigiannidis, University of Western Macedonia, Greece
John Soldatos, INTRASOFT International, Luxemburg
The topics of interest revolve around IoT techniques (including networking, platforms, middleware, data analysis, security) for all applications such as: