 | Artificial Intelligence and Speech Technology: Proceedings of the 2nd International Conference on Artificial Intelligence and Speech Technology, (AIST2020), 19-20 November, 2020, Delhi, India The 2nd International Conference on Artificial Intelligence and Speech Technology (AIST2020) was organized by Indira Gandhi Delhi Technical University for Women, Delhi, India on November 19-20, 2020. AIST2020 is dedicated to cutting-edge research that addresses the scientific needs of academic researchers and industrial professionals to explore new horizons of knowledge related to Artificial Intelligence and Speech Technologies. AIST2020 includes high-quality paper presentation sessions revealing the latest research findings, and engaging participant discussions. The main focus is on novel contributions which would open new opportunities for providing better and low-cost solutions for the betterment of society. These include the use of new AI-based approaches like Deep Learning, CNN, RNN, GAN, and others in various Speech related issues like speech synthesis, speech recognition, etc. Amita Dev, Vice-Chancellor, Indira Gandhi Delhi Technical University for Women, Delhi Arun Sharma, Professor - IT, Indira Gandhi Delhi Technical University for Women, Delhi S. S. Agrawal, Emeritus Scientist, CSIR sp; 10. BIM Integrated Project Delivery: An Automated Earned Value Management-Based Approach 11. Revolutionising Cost Structure within Integrated Project Delivery: A BIM-Based Solution 12. Dynamic Sustainable Success Prediction Model for Infrastructure Projects: A Rough Set-Based Fuzzy Inference System 13. Multi-Objective Optimisation to Support Building Window Design 14. Artificial Intelligence Image Processing for On-Demand Monitoring of Construction Projects 15. Digitalisation of Architecture, Engineering, and Construction: Immersive Technologies and Unmanned Aerial Vehicles 16. Optical Code Division Multiple Access-Based Sensor Network for Monitoring Construction Sites Affected by Vibrations 17. Blockchain Integrated Project Delivery: An Automated Financial System |
