INSAI2021 is jointly organized by Institute on Networking Systems of AI (INSAI), Fudan University，Hainan University and University of Toronto, Canada. INSAI2021 aims to bring together researchers and scientists for discussing the cross-disciplinary research advances of NSAI (Networking Systems of Artificial Intelligence). NSAI2021 conference is particularly interested in innovative information technologies in dealing with the current global pandemic.
COVID-19 - Status Update
Please note that due to the Coronavirus pandemic and with the main objective to preserve the well-being of our delegates, this conference will take place online.
The online conference programme will include both accepted papers and presentations as well as a live-streamed Q&A with the presenters. The programme will be available on this website for 8 weeks after the conference date, giving delegates the chance to select and view the presentations as many times as they wish.
Accepted papers will continue to be published in a volume of the WIT Transactions which are Scopus indexed and accessible to the scientific community Open Access via the WIT Press website: https://www.witpress.com/elibrary.
NEW reduced registration fees including especially reduced Early-bird registration for the online conference are available. Please check the Registration Form available on this page.
When: 18th March, 2:00pm AEDTWhere: Online - register here: https://lnkd.in/ghGBAc5To be presented by the Centre for Spatial Data Infrastructures and Land Administration (CSDILA) at The University of Melbourne, this webinar will explore Digital Twin capabilities and applications that move government and industries towards smart urban and infrastructure planning. This webinar also showcases a live Digital Twin Platform developed at CSDILA. Join our webinar to learn more about Digital Twins and its applications in city management.#smartcities #innovation #melbourne #webinar #management #projects #digital #planning #administration #infrastructure #csdila #australiangovernment #localgovernment
فصلنامه مطالعات توسعه پایدار شهری و منطقه ای، آمادگی دارد در راستای اهداف مشخص شده، مقالات علمی - پژوهشی اساتید و دانشجویان محترم را دریافت و در کوتاهترین زمان ممکن داوری و در صورت مطابق بودن با استانداردهای مورد نظر، منتشر نماید.
لذا از کلیه محققین دعوت میشود که مقالات خود را از طریق صفحه ارسال مقاله، جهت داوری ارسال نمایند.