Multi-disciplinary Trends in Artificial Intelligence: 16th International Conference, MIWAI 2023, Hyderabad, India, July 21–22, 2023, Proceedings
Conference Proceedings
Morusupalli, R., Dandibhotla, T., Atluri, V., Windridge, D., Lingras, P. and Komati, V. (ed.) 2023. Multi-disciplinary Trends in Artificial Intelligence: 16th International Conference, MIWAI 2023, Hyderabad, India, July 21–22, 2023, Proceedings. Springer.
Type | Conference Proceedings |
---|---|
Title | Multi-disciplinary Trends in Artificial Intelligence: 16th International Conference, MIWAI 2023, Hyderabad, India, July 21–22, 2023, Proceedings |
Editors | Morusupalli, R., Dandibhotla, T., Atluri, V., Windridge, D., Lingras, P. and Komati, V. |
Abstract | The 47 full papers and 24 short papers included in this book were carefully reviewed and selected from 245 submissions. These articles cater to the most contemporary and happening topics in the fields of AI that range from Intelligent Recommendation Systems, Game Theory, Computer Vision, Reinforcement Learning, Social Networks, and Generative AI to Conversational and Large Language Models. They are organized into four areas of research: Theoretical contributions, Cognitive Computing models, Computational Intelligence based algorithms, and AI Applications. |
Sustainable Development Goals | 9 Industry, innovation and infrastructure |
Middlesex University Theme | Creativity, Culture & Enterprise |
Research Group | Artificial Intelligence group |
Series | Lecture Notes in Computer Science |
ISBN | |
Paperback | 9783031364013 |
Electronic | 9783031364020 |
ISSN | 0302-9743 |
Electronic | 1611-3349 |
Publisher | Springer |
Publication dates | |
24 Jun 2023 | |
Publication process dates | |
Accepted | 23 Jun 2023 |
Deposited | 10 May 2024 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-031-36402-0 |
Related Output | |
Has part | Interpretable chronic kidney disease risk prediction from clinical data using machine learning |
Has part | Addressing challenges in healthcare big data analytics |
Language | English |
Permalink -
https://repository.mdx.ac.uk/item/v436z
55
total views0
total downloads0
views this month0
downloads this month