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AI for Good Innovate for Impact



                   Use Case - 3: AI-Enhanced Remote Sensing and Machine Learning

               for Detecting and Predicting Archaeological Areas at Saruq Al-
               Hadid Site                                                                                          cities  4.8: Smart home/








               Organization: Dubai Culture & Arts Authority, Khalifa University of Science and Technology

               Country: United Arab Emirates

               Contact Person:

                    Luma Bourisly, Luma.bourisly@ dubaiculture .ae
                    Diana Francis, diana.francis@ ku .ac .ae
                    Bader Mohamed Al Ali, Bader.Alali@ dubaiculture .ae



               1      Use Case Summary Table


                Item         Details
                Category     Smart home/cities

                             The  primary  issue  addressed  is  the  challenge  of  accurately  detecting  and
                             predicting buried archaeological sites in arid, desert environments. Traditional
                             ground-based methods often struggle in these areas due to extensive sand cover,
                Problem      complex stratigraphy, and limited surface visibility. These factors hinder efficient
                Addressed
                             site discovery, delay excavation planning, and increase operational costs, espe-
                             cially in environmentally sensitive or logistically complex terrains such as the Saruq
                             Al-Hadid site in Dubai, United Arab Emirates (UAE).



































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