Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Shetty, Keerthi; Gautam, Kamlesh Kumar; Rupani, Jigar; Khan, Shakir; Sreedevi, Vaitla; Dhawale, Sagar Digambar Title A name given to the resource Deep Learning in Project Planning and Scheduling Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived 2025 World Skills Conference on Universal Data Analytics and Sciences, WorldSUAS 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/WorldSUAS66815.2025.11198937" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/WorldSUAS66815.2025.11198937</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105022260409?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105022260409?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Shetty K., Nitte (Deemed to Be University), NMAM Institute of Technology, Department of MCA, Udupi, India; Gautam K.K., Mewar Institute of Management, Vasundhara, Department of Computer Science, Uttar Pradesh, Ghaziabad, India; Rupani J., Christ University, School of Business and Management, India; Khan S., Imam Mohammad Ibn Saud Islamic University (IMSIU), College of Computer and Information Sciences, Riyadh, 11432, Saudi Arabia, Chandigarh University, University Centre for Research and Development, Department of Computer Science and Engineering, Mohali, 140413, India; Sreedevi V., Malla Reddy Engineering College (A), Maisammaguda, Kompally, Department of CSE, Telagana State, Secunderabad, 500100, India; Dhawale S.D., Ajeenkya D y Patil School of Engineering, Lohegaon, Department of Electronics &amp; Telecommunication Engineering, Maharashtra, Pune, 412105, India Description An account of the resource Controlling construction projects requires careful planning, and the most popular modelling techniques are the discrete-event simulator (DES), linear schedule (LS), and the critical path method (CPM). DES techniques, however, may become laborious and struggle to appropriately represent decision possibilities as complexity and restrictions increase. Through the reinforcement learning methods, deep learning-based artificial intelligence (AI) may be a viable substitute, enabling a quicker evaluation and suggestion of planning solutions for intricate building projects. This study investigates if artificial intelligence (AI) can replace DES in Insight, an illustrated constraint-based procedure planning tool for production and building. In the study, the difficulties of integrating AI into planning for building are discussed, along with the process modifications required to support deep learning techniques. Enhanced schedule, expenses, and efficiency in operation result from early planning of projects, which also balances conflicting project requirements. The planning of modern building projects is suggested to use a new conceptual methodology. 2025 IEEE. Subject The topic of the resource AI; critical path method (CPM); Deep Learning; linear scheduling (LS); Machine learning (ML) Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833153925-2; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online