The area of machine learning, especially deep learning, has exploded in recent years, producing advances in everything from speech recognition and gaming to drug discovery. Tomographic imaging is another major area that is being transformed by machine learning, and its potential to revolutionise medical imaging is significant.Written by active researchers in the field, Machine Learning for Tomographic Imaging presents a unified overview of deep-learning-based tomographic i...

People in general are concerned about the health of themselves and their families, but they lack reliable access to health knowledge. In order to ensure that people get accurate medical knowledge, dissemination of such knowledge by medical professionals is advocated. This is the basis of medical communication. This book covers the theoretical model of medical communication, explains the differences from medical science popularization and health communication, and from the perspective of me...

Bio-inspired computing (BIC) focuses on the designs and developments of computer algorithms and models based on biological mechanisms and living phenomena. It is now a major subfield of natural computation that leverages on the recent advances in computer science, biology and mathematics.The ideas provide abundant inspiration to construct high-performance computing models and intelligent algorithms, thus enabling powerful tools to solve real-life problems.Written by world-renowned research...

Dive into the cutting-edge integration of deep learning with audio signal processing in this authoritative guide. Designed for audio engineers, data scientists, and tech enthusiasts, this book demystifies the complex world of deep neural networks, including CNNs and RNNs, and their applications in speech recognition, music transcription, and sound event detection.Explore the practical side of deep learning with hands-on tutorials using TensorFlow and PyTorch, building your intuitio...

This is an open access book. This book presents new theory and methods on compiling lithofacies paleogeographic maps as a key tool for guiding geological survey on shale gas. The fundamental goal of the shale gas geological survey is to find the ‘dessert’ area. It is therefore suggested that the lithofacies paleogeographic study and the technique of mapping should be a solid scientific basis for shale gas exploration. It takes Ordovician Wufeng-Silurian Longmaxi Formation in Sichuan Basin ...