Machine Intelligence for Research and Innovations: Proceedings of Maitri 2024, Volume 1
| PUBLISHER | Springer (01/03/2026) |
| PRODUCT TYPE | Paperback (Paperback) |
The book is a collection of high-quality peer-reviewed research papers presented in the Second International Conference on MAchine inTelligence for Research & Innovations (MAiTRI 2024 Summit), held at National Institute of Technology Srinagar, India during 21 - 23 June 2024. This book focuses on recent advancement in the theory and realization of machine intelligence (MI) and their tools and growing applications such as machine learning, deep learning, quantum machine learning, real-time computer vision, pattern recognition, natural language processing, statistical modelling, autonomous vehicles, human interfaces, computational intelligence, and robotics.
The book is a collection of high-quality peer-reviewed research papers presented in the Second International Conference on MAchine inTelligence for Research & Innovations (MAiTRI 2024 Summit), held at National Institute of Technology Srinagar, India during 21 - 23 June 2024. This book focuses on recent advancement in the theory and realization of machine intelligence (MI) and their tools and growing applications such as machine learning, deep learning, quantum machine learning, real-time computer vision, pattern recognition, natural language processing, statistical modelling, autonomous vehicles, human interfaces, computational intelligence, and robotics.
Xiuju Fu received the BS degree and the MS degree from Beijing Institute of Technology (China) in 1995 and 1999, respectively. She won the Best Student Paper Award at the 2001 Augsburg Data Mining Symposium, Germany. She received the PhD degree in Electronic Engineering from Nanyang Technological University (Singapore) in 2003. She is currently a research scientist at theInstitute for High Performance Computing, Singapore. Her current research areas include: neural networks, genetic algorithms, data mining, classification, data dimensionality reduction, and rule extraction.
