This workshop seeks to bring together researchers and experts from academia, industry, and governmental agencies to discuss and promote the research and development needed to overcome the major challenges that pertain to this cutting-edge research topic. Suitable topics for this workshop include, but are not limited to, the following areas:
- Machine Learning in Industrial Applications;
- Distributed Communication Networks and Data Analysis;
- IoT Analytics for Industry 4.0;
- Distributed Architectures for Efficient Management of IoT Data;
- New Hardware Architectures for Industrial Data Management;
- IoT based real-time communication system using image processing techniques;
- Digital transformation and artificial intelligence;
- Big data storage management for IoT applications;
- Real-life cases of IoT-enabled manufacturing;
- Advanced manufacturing model under the support of cloud computing;
- Standardization in Industrial IoT Applications;
- Architectures, protocols, and algorithms for 5G realizations in support of smart factory requirements;
- Real-time human behavioral measurement, modeling, evaluation, and tools for IoT Big Data;
- Real-time behavior assessment in big data transmission with efficiency for Industrial IoT;
- Behavioral feature-based learning from big data to facilitate monitoring.
SUBMISSION GUIDELINES
The workshop accepts only original and previously unpublished papers. All submissions must be formatted in standard IEEE camera-ready format (double-column, 10pt font). The maximum number of printed pages is six including figures without incurring additional page charges (6 pages plus 1 additional page allowed with a charge for the one additional page of USD 100 if accepted).
