Due to the COVID-19 pandemic, the safety of the participants remains the top priority. After careful consideration, in light of the global health emergency and the travel restrictions, 2020 3rd Artificial Intelligence and Cloud Computing Conference(AICCC 2020) was special arranged into online conference during December 18 - 20,2020. During the virtual conference, Prof. Kenji Suzuki from Tokyo Institute of Technology, Japan, Prof. Yan Li from University of Southern Queensland, Australia and Prof. Ma Maode from Nanyang Technological University in Singapore have attended the online conference as keynote speakers.
Conference Proceedings:
March 15, 2021, News! The AICCC 2020 proceeding is available Online.
December 1, 2021 News! The AICCC 2020 papers have been indexed in EI compendex and Scopus !
Group Photos:
Keynote Speeches:
Title: Deep Learning for Medical Image Processing, Patten Recognition,
and Diagnosis
Prof. Kenji Suzuki
Tokyo Institute of Technology, Japan
Title: Artificial Intelligence in Health and Brain Modelling
Prof. Yan Li
University of Southern Queensland, Australia
Title: Secure Authentication for D2D Communications in 5G Wireless
Networks
Prof. Maode Ma
Nanyang Technological University, Singapore
Best Presentations:
Session 1
Title: Ship Detection in Satellite Optical Imagery
Benjamin Smith, University of Victoria, Canada
Session 2
Title: Simplified Deep Learning Architecture for Text
Recognition from Natural Scene
Deepak Rai, Tokai University, Japan
Session 3
Title: Using Twitter Social Media for Depression
Detection in the Canadian Population
Ruba Skaik, University of Ottawa, Canada
Session 4
Title: Live Monitoring of Speech Quality of Public
Addressing Network Speakers: A Preliminary Study
Elhard Kumalija, Graduate School of Applied Informatics,
University of Hyogo, Japan
Session 5
Title: Effective Tuning of Regression Models using an Evolutionary
Approach: A Case Study
Seamus Lankford, Adapt Centre, Dublin City University, Ireland
Electronic Submission System (PDF format)
Format:
1. Full paper (Click)
2. Abstract (Click)