The short course aims to provide the foundation for understanding NGSI-LD Context Broker(s). The course will begin with a brief introduction to JSON-LD (JSON Linked Data) since it is the data format used by NGSI-LD. Next, there will be a brief mention of the history of NGSI-LD and who are the organizations that are currently… Continue reading Interoperability with JSON-LD and NGSI-LD via Orion Context Broker
Archives: Resources
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Introduction to Apache Airflow: Workflow Automation with DAGs and Tasks
In today’s technological landscape, process automation has become a fundamental component for improving the efficiency and productivity of organizations. In this introductory conference on Apache Airflow, we will explore how to use DAGs (Directed Acyclic Graphs) together with tasks to orchestrate and automate workflows effectively. During the session, we will delve into the concept of… Continue reading Introduction to Apache Airflow: Workflow Automation with DAGs and Tasks
Introduction to Kubernetes
Lecture by Prof. Lorentzo Carnevale. Uploaded by Aristotle University of Thessaloniki. Link to video
Introduction to Containers with Docker
Lecture by Prof. Lorentzo Carnevale. Uploaded by Aristotle University of Thessaloniki. Link to video
Introduction to Cloud/edge computing
Cloud Computing during the time has gained concrete evidence to be a disruptive technology still in its full development. Many drawbacks of the Cloud have brought to improve many their crucial aspects, like performance, security and privacy, etc. Today Edge Computing try to deal with these implications to make them less problematic and much more… Continue reading Introduction to Cloud/edge computing
Attention and Transformers Networks in Computer Vision Lecture
Abstract This lecture explores various transformer-based approaches that have emerged as powerful alternatives of Convolutional Neural Networks (CNNs) in Computer Vision, and revolutionized the way visual information is analyzed. While CNNs have been the dominant architecture for visual tasks, they face challenges in capturing long-range dependencies and handling variable-sized inputs. Recent research has shown promising… Continue reading Attention and Transformers Networks in Computer Vision Lecture