CVML R&D Group

In recent years, diffusion models have become powerful tools in the field of artificial intelligence for image generation. Their applications extend beyond traditional creative or artistic uses, proving highly valuable for scientific, engineering, and crisis management purposes. One particularly innovative use of diffusion models is in creating datasets that simulate the effects of natural disasters, such as floods, wildfires, earthquakes, or hurricanes, on locations that are typically undamaged. Read more about it in the latest #TemaEU article by Eleonor Diaz Fragachan, Computer Vision Engineer at Eviden 👉 https://lnkd.in/d-2ysXiY

🌐 Join the e-2024 AIIA/AIDA Winter School on AI and Big Data Analytics! 📅 Date: December 3-4, 2024 Courses Offered: Big Data Analytics for Natural Disaster Management (NDM) — December 3 Deep Learning & Computer Vision for Industrial Infrastructure Inspection — December 4 Each e-course is free and open for separate registration—join one or both! 🧑🏫 Organized by: Horizon Europe R&D projects TEMA EU and SIMAR Project 🎓 Led by: Ioannis Pitas, Chair of AIDA and Director of the AIIA Lab, Aristotle University of Thessaloniki, Greece 🔗 Register now and secure your spot: https://lnkd.in/dS46Gkgs

🤔 How can the inclusion of interoperable technological solutions, such as digital twins, smart desks and satellite mapping, into their operations change the way first responder organisations and agencies respond to disasters? 🚒 In this article hosted by the Union Civil Protection Knowledge Network platform of EU in Emergencies, Uwe Kippnich and Margareta Mihalic Dogan from #TemaEU end-user partners Bayerisches Rotes Kreuz (BRK) dive into the application of #TemaEU technologies in flood management. You can read the article in the Union Civil Protection Knowledge Network platform 👉 https://lnkd.in/dQTX6y8M EU in Emergencies | Margareta Mihalic Dogan | Bayerisches Rotes Kreuz (BRK) | #TemaEU | #HorizonEU | #emergencyresponse | #floodresponse | #NaturalDisasterManagement | #civilprotection

🔎 Have you missed the chance to follow the #TemaEU short courses? Would you like to learn more about timely topics like #cloud and #edgetechnologies, #bigdataanalytics, #kybernetes, #interoperability and more? 📹 Visit the #TemaEU YouTube channel 👉 https://lnkd.in/dEb2yUKf There you can find the #lectures from previous #TemaEU short courses: 🔸 Short course on Big Data Analytics for Natural Disaster Management (NDM), 13 December 2023 🔸 Short course on Cloud/Edge Computing for Deep Learning and Big Data Analytics, 19 March 2024 Aristotle University of Thessaloniki (AUTH) | CVML R&D Group | Universidad de Sevilla | Latitudo 40 | Engineering Group | Paris Lodron Universität Salzburg | Università degli Studi di Messina | Ioannis Pitas | Nikolaos Marios Militsis | Massimo Villari | J. Ramiro Martinez de Dios | Panagiotis Katsaros | Giovanni Giacco | Antonio Filograna | Bernd Resch | Lorenzo Carnevale | Matteo B. | Mirco Palese

🤔 What are the benefits of adopting global standards in NDM? Why did #TemaEU choose to integrate Common Alerting Protocol (CAP) with NGSI-LD? 🔎 Francesco Arigliano and Antonio Filograna from Engineering Group explain everything in their latest article for the #TemaEU blog. Read it here 👉 https://lnkd.in/dDQ-q4YG #TemaEU | #HorizonEU | #globalstandards | #standardisation | #interoperability | #emergencymanagement | #NDM

🗣️ In today's #Partners Corner, Robin Guldentops, Asset Manager at BASF gives us his opinion on the project. 📢 "The differential value of this project lies in its multidisciplinary approach. By integrating expertise from various fields, the SIMAR team aims to develop a solution that not only meets but exceeds the requirements of the industry,", he pointed out. Read more 👉https://lnkd.in/exd3Fz5v

💻 🔎 "Big Visual Data analytics for Natural Disaster Management" is a short course on the advanced technologies involved in the acquisition and analysis of Big Data for NDM. #TemaEU project coordinator, prof. Ioannis Pitas, presents four lectures on: 🔸 Sensors and Big Visual Data Analytics for Natural Disaster Management (NDM) 🔸 Forest fire detection and fire/burnt region segmentation on drone images 🔸 Flood region segmentation on drone images 🔸 Simulation and visualization of forest fires and floods More details about the course can be found here 👉 https://lnkd.in/drcSHiNr Aristotle University of Thessaloniki (AUTH) | CVML R&D Group | Ioannis Pitas | Alexandros Zamioudis | Nikolaos Marios Militsis | Efi Patmanidou

➡️You can read our latest research on 𝐢𝐦𝐩𝐫𝐨𝐯𝐞𝐝 𝐭𝐢𝐦𝐞𝐬𝐞𝐫𝐢𝐞𝐬 𝐟𝐨𝐫𝐞𝐜𝐚𝐬𝐭𝐢𝐧𝐠 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐫𝐞𝐩𝐫𝐞𝐬𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠:👇  👉 "𝘎𝘦𝘯𝘦𝘳𝘢𝘵𝘪𝘷𝘦 𝘙𝘦𝘱𝘳𝘦𝘴𝘦𝘯𝘵𝘢𝘵𝘪𝘰𝘯 𝘓𝘦𝘢𝘳𝘯𝘪𝘯𝘨 𝘪𝘯 𝘙𝘦𝘤𝘶𝘳𝘳𝘦𝘯𝘵 𝘕𝘦𝘶𝘳𝘢𝘭 𝘕𝘦𝘵𝘸𝘰𝘳𝘬𝘴 𝘧𝘰𝘳 𝘊𝘢𝘶𝘴𝘢𝘭 𝘛𝘪𝘮𝘦𝘴𝘦𝘳𝘪𝘦𝘴 𝘍𝘰𝘳𝘦𝘤𝘢𝘴𝘵𝘪𝘯𝘨", 𝘐𝘌𝘌𝘌 𝘛𝘳𝘢𝘯𝘴𝘢𝘤𝘵𝘪𝘰𝘯𝘴 𝘰𝘯 𝘈𝘳𝘵𝘪𝘧𝘪𝘤𝘪𝘢𝘭 𝘐𝘯𝘵𝘦𝘭𝘭𝘪𝘨𝘦𝘯𝘤𝘦, 2024. + Link: https://lnkd.in/d5x_tnti + DOI: 10.1109/TAI.2024.3446465 ⚡️This journal article introduces the 𝗚𝗥𝗥𝗡𝗡, 𝗮 𝗻𝗼𝘃𝗲𝗹 𝗱𝗲𝗲𝗽 𝗿𝗲𝗰𝘂𝗿𝗿𝗲𝗻𝘁 𝗻𝗲𝘂𝗿𝗮𝗹 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 combining generative learning and regression to improve causal timeseries forecasting. GRRNN advances the state-of-the-art by encoding exogenous inputs into more informative features, enhancing predictive accuracy. This research has been funded by the #HorizonEU R&I #project #TemaEU (https://tema-project.eu/). #AI #DeepNeuralNetworks #timeseries #AIresearch #machinelearning

Discover our #Partners Corner, a new section of interviews with the collaborators of the SIMAR Project. We start this section with Ioannis Pitas, Professor in the Department of Informatics at Aristotle University of Thessaloniki and the Director of the AI and Information Analysis Laboratory. Enjoy it!