Analyzing Particularities of Sensor Datasets for Supporting Data Understanding and Preparation
Special Issue Applied Data Science and Intelligence
Data scientists spend much time with data cleaning tasks, and this is especially important when dealing with data gathered from sensors, as finding failures is not unusual (there is an abundance of research on anomaly detection in sensor data).
Application of Artificial Intelligence Techniques for the Creation of Novel Services Based on Connected Vehicles
Book: Intelligent System Solutions for Auto Mobility and Beyond
New technologies have been progressively integrated into vehicles during the last thirty years.
An Artificial Intelligence-Based Collaboration Approach in Industrial IoT Manufacturing: Key Concepts, Architectural Extensions and Potential Applications
MDPI Sensors
The digitization of manufacturing industry has led to leaner and more efficient production, under the Industry 4.0 concept.
Olive Trees Stress Detection Using Sentinel
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
In the field of plant disease protection, many approaches exist, but all acknowledge the necessity of fast and accurate identification of the source in order to make the most efficient applications.
End-to-end security assessment framework for connected vehicles
Conference Paper for the International Symposium on Wireless Personal Multimedia Communications at Lisboa
Running simulations in HPC and cloud resources by implementing enhanced TOSCA workflows
International Conference on High Performance Computing & Simulation (HPCS)
In general, one of the complexities of large simulations is related to the usage of the heterogeneous computational resources that are needed to execute them. The definition of workflows, usually linked to concrete orchestrations solutions, has reduced most of that complexity.
Artificial Intelligence as the second phase for IoT
ATOS Blog:
https://atos.net/en/blog/artificial-intelligence-second-phase-iot-part-1
Towards Accurate Simulation of Global Challenges on Data Centers Infrastructures via Coupling of Models and Data Sources
International Conference on Computational Science
Accurate digital twinning of the global challenges (GC) leads to computationally expensive coupled simulations.