This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research.
The authors also provide comprehensive solutions, including correlation-oriented graph learning, modality-oriented graph learning, unsupervised disentangled graph learning, partially supervised disentangled graph learning, and metapath-guided heterogeneous graph learning.
Over the past decade, machine learning has come a long way, with organisations of all sizes exploring its potential to extract valuable insights... Læs mere
This book includes selected high-quality research papers presented at 3rd International Conference on... Læs mere
This book discusses the evolution of technical features in decentralized finance and focuses on machine-learning finance in emerging economies.
The proceedings offer a meticulously curated compilation of peer-reviewed papers presented at the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024).
This book stands at the forefront of AI research, offering a comprehensive examination of multimodal generative technologies. A core highlight of this work is its detailed... Læs mere
This book presents an extensive exploration of the latest trends in Unmanned Aerial Systems (UAS) technology and the boundless opportunities they offer.
This book introduces pioneering developments in binary representation learning on visual images, a state-of-the-art data transformation methodology within the fields of machine learning and multimedia.
Spiking neural P systems are neural-like membrane computing models, representing an interdisciplinary field between membrane computing and artificial neural networks, and are considered one of the third-generation neural networks.