✅ Debate based on a Mock legislative proposal to set the □□ #renewableenergy target to 45% by 2030. ✅ Teams of 54 students representing the different □□ member states As we celebrate Ireland’s 50th anniversary of our □□ membership, it was great to be back in person with the 2023 #ModelCouncil taking place in the impressive surrounds of Dublin City Council City Hall Dublin. We look forward to a stimulating and engaging discussion on the exciting developments in machine learning for geospatial analysis at CIG 2023.Īlways a pleasure to be one of the judges for the European Commission Representation in Ireland Model Council of the EU. Accepted papers will be published in the conference proceedings. The deadline for paper submissions is (Extended until Friday 31st March). Submissions should include an abstract of no more than 250 words, along with the author's name, affiliation, and contact information. Please contact the session organizer directly if you would like to submit an abstract to a themed session (Dr.Payam Sajadi. Submissions should be made through the conference website ( ). Air pollution and transportation studies using geospatial data.Machine learning for urban planning and spatial modeling.Applications of machine learning in land cover mapping and change detection.Deep learning for geospatial data analysis.Machine learning algorithms for image classification and object detection.Topics of interest for the session include, but are not limited to: We welcome submissions from researchers, practitioners, and students working in the field of geospatial analysis and remote sensing. The session will take place on 16th - 19th May and will explore the latest developments and applications of machine learning in the fields of remote sensing and geospatial studies, including geospatial modeling and air pollution-transportation. We invite submissions for a special session on "Machine Learning Application in Remote Sensing and Geospatial Studies" at CIG 2023, the Conference of Irish Geographers. **Call for Papers: CIG 2023 Conference Session on Machine Learning Application in Remote Sensing and Geospatial Studies**
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