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Unsupervised domain adaptation (UDA) is a challenging problem in machine learning where the model is trained on a source domain with labeled data and tested on a target domain with …
Over the last few years, natural language processing has seen remarkable progress due to the emergence of larger-scale models, better training techniques, and greater availability …
With the growing advances in technology and transformation to digital services, the world is becoming more connected and more complex. Huge heterogeneous data are generated at …
This book deals with the first discriminant theory of linearly separable data (LSD), Theory3, based on the four ordinary LSD of Theory1 and 169 microarrays (LSD) of Theory2. …
This book features a collection of high-quality research papers presented at the International Conference on Tourism, Technology and Systems (ICOTTS 2023), held at Anáhuac …
This book gathers a collection of selected works and new research results of scholars and graduate students presented at the 7th International Conference on Artificial Intelligence …
This book gathers outstanding research papers presented at the 7th International Joint Conference on Advances in Computational Intelligence (IJCACI 2023), held in hybrid mode at …
This book gathers selected high-quality research papers presented at the Second International Conference on Intelligent System (ICIS 2023), organized by Industrial University of Ho …
This book focuses on the sustainable security practices in the domain of blockchain, quantum, and post-quantum technologies dealing with the real-time applications. The topics …
Advances in experimental technologies have given rise to tremendous amounts of biology data. This not only offers valuable sources of data to help understand biological evolution …