This book presents a comprehensive range of topics in deep learning for polymer discovery, from fundamental concepts to advanced methodologies. These topics are crucial as they address critical challenges in polymer science and engineering. With a growing demand for new materials with specific properties, traditional experimental methods for polymer discovery are becoming increasingly time-consuming and costly. Deep learning offers a promising solution by enabling rapid screening of potent...

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 of data. Examples of these advancements include GPT-4, ChatGPT, and other pre-trained language models. These models are capable of characterizing linguistic patterns and generating context-aware representations, resulting in high-quality output. However, these models rely solely on input-output pairs during train...

This book comprehensively documents the various types of karst collapse and related conceptual site models, before discussing these collapses in terms of their impacts on engineering and the environment. Featuring over 200 real-world photos to illustrate the variety of karst collapses and their consequences, the book also provides specific methods and techniques to prevent, investigate, monitor and remediate these collapses. Decades of experience with these collapses make it clear that add...

Through a meticulous analysis of various historical sources, the authors of this book have uncovered a wealth of information on the trade of salt and tobacco in Guizhou province, southwest of China, in the 1930s and 1940s. Their findings not only shed light on how commercial networks and the flow of these commodities formed and transformed with the development of wartime state monopoly, but also offer a more comprehensive perspective on the role of merchants and entrepreneurs in regulated ...

The COVID-19 pandemic dominated the globe for at least three years, and infected a large proportion of the worldwide population. After the acute infection, many stay in poor health for months. The nature of this aftermath is not yet fully understood, therefore the management of this syndrome through biomedical therapy is not ideal. Health services are struggling to help those who are still suffering. The condition has now been recognised as post-COVID-19 syndrome (PCS) — providing a common...

This book includes the original, peer-reviewed research papers from the 9th Frontier Academic Forum of Electrical Engineering (FAFEE 2020), held in Xi’an, China, in August 2020. It gathers the latest research, innovations, and applications in the fields of Electrical Engineering. The topics it covers including electrical materials and equipment, electrical energy storage and device, power electronics and drives, new energy electric power system equipment, IntelliSense and intelligent equip...

This book highlights new advances in biometrics using deep learning toward deeper and wider background, deeming it “Deep Biometrics”. The book aims to highlight recent developments in biometrics using semi-supervised and unsupervised methods such as Deep Neural Networks, Deep Stacked Autoencoder, Convolutional Neural Networks, Generative Adversary Networks, and so on. The contributors demonstrate the power of deep learning techniques in the emerging new areas such as privacy and security i...

This book covers up-to-date evidence of Rapid on-site evaluation (ROSE) for diagnosis of rare disease and used combined with metagenomic sequencing technique in clinical scenarios. ROSE has becoming an efficient interventional diagnostics tool and important reference for lung diseases differentiation, increasing the adequacy rate, diagnostic yield and accuracy of the interventional pulmonary procedures.ROSE has its value in the field of evaluating sampling adequacy for further immu...