This volumes comprises select proceedings of the International Conference on Computational Intelligence in Machine Learning (ICCIML 2022). The contents cover latest research trends and developments in the areas of machine learning, smart cities, IoT, Artificial Intelligence, cyber physical systems, cybernetics, data science, neural network, cognition, among others. It also addresses the comprehensive nature of computational intelligence, AI, ML and DL to emphasize its character in modelling, identification, optimization, prediction, forecasting, and control of future intelligent systems. This volume will be a useful guide to those working as researchers in academia and industry by presenting in-depth fundamental research contributions from a methodological/application perspective in understanding Artificial intelligence and machine learning approaches and their capabilities in solving diverse range of problems in industries and its real-world applications.
| ISBN: | 9789819979530 |
| Publication date: | 21st February 2024 |
| Author: | International Conference on Computational Intelligence in Machine Learning |
| Publisher: | Springer an imprint of Springer Nature Singapore |
| Format: | Hardback |
| Pagination: | 707 pages |
| Series: | Lecture Notes in Electrical Engineering |
| Genres: |
Artificial intelligence Machine learning Databases |
This volumes comprises select proceedings of the International Conference on Computational Intelligence in Machine Learning (ICCIML 2022). The contents cover latest research trends and developments in the areas of machine learning, smart cities, IoT, Artificial Intelligence, cyber physical systems, cybernetics, data science, neural network, cognition, among others. It also addresses the comprehensive nature of computational intelligence, AI, ML and DL to emphasize its character in modelling, identification, optimization, prediction, forecasting, and control of future intelligent systems. This volume will be a useful guide to those working as researchers in academia and industry by presenting in-depth fundamental research contributions from a methodological/application perspective in understanding Artificial intelligence and machine learning approaches and their capabilities in solving diverse range of problems in industries and its real-world applications.
Computational Intelligence in Machine Learning features in the following genres: Artificial intelligence, Machine learning, Databases
Computational Intelligence in Machine Learning is available in Hardback
Computational Intelligence in Machine Learning was written by International Conference on Computational Intelligence in Machine Learning and published by Springer an imprint of Springer Nature Singapore
Computational Intelligence in Machine Learning has 707 pages
Yes it is part of Lecture Notes in Electrical Engineering series
£269.99