Hao Li – författare

Machine Learning for Subsurface Characterization develops and applies neural networks, random forests, deep learning, unsupervised learning, Bayesian frameworks, and clustering methods for subsurface characterization. Machine learning (ML) focusses on developing computational methods/algorithms that learn to recognize patterns and quantify functional relationships by processing large data sets, also referred to as the "big data." Deep learning (DL) is a subset of machine learning that processes "big data" to construct numerous layers of abstraction to accomplish the learning task. DL methods do not require the manual step of extracting/engineering features; however, it requires us to provide large amounts of data along with high-performance computing to obtain reliable results in a timely manner. This reference helps the engineers, geophysicists, and geoscientists get familiar with data science and analytics terminology relevant to subsurface characterization and demonstrates the use of data-driven methods for outlier detection, geomechanical/electromagnetic characterization, image analysis, fluid saturation estimation, and pore-scale characterization in the subsurface. Learn from 13 practical case studies using field, laboratory, and simulation data Become knowledgeable with data science and analytics terminology relevant to subsurface characterization Learn frameworks, concepts, and methods important for the engineer's and geoscientist's toolbox needed to support

This book explores the interrelations between communal memory and the sense of history in George Eliot's novels by focusing on issues such as memory and narrative, memory and oblivion, memory and time, and the interactions between personal, communal and national memories.

This study explores the interrelations between communal memory and the sense of history in George Eliot's novels by focusing on issues such as memory and narrative, memory and oblivion, memory and time, and the interactions between personal, communal and national memories. Hao Li offers a fresh critical reading informed by major 19th century theories, and argues for a reappraisal of George Eliot's complex understanding of the dialects of memory and history - an understanding that both integrates and transcends the positivist and the romantic historical approaches of her time.

This Element introduces the exotic wave phenomena arising from the extremely small optical refractive index, and sheds light on the underlying mechanisms, with a primary focus on the basic concepts and fundamental wave physics. The authors reveal the exciting applications of ENZ metamaterials, which have profound impacts over a wide range of fields of science and technology. The sections are organized as follows: in Section 2, the authors demonstrate the extraordinary wave properties in ENZ metamaterials, analyzing the unique wave dynamics and the resulting effects. Section 3 is dedicated to introducing various realization methods of the ENZ metamaterials with periodic and non-periodic styles. The applications of ENZ metamaterials are discussed in Sections 4 and 5, from the perspectives of microwave engineering, optics, and quantum physics. The authors close in Section 6 by presenting an outlook on the development of ENZ metamaterials and discussing the key challenges addressed in future works.

This book explores the interrelations between communal memory and the sense of history in George Eliot's novels by focusing on issues such as memory and narrative, memory and oblivion, memory and time, and the interactions between personal, communal and national memories.

Traditional Chinese Medicine has played an important role in the treatment of COVID-19 in China. As the first batch of national Chinese medicine team in China, the authors shared their experience of treating severe COVID-19 cases with TCM at Jinyintan Hospital in Wuhan, the epicenter of the outbreak in China. Twenty severe cases have been selected and reported in this book. The medical history, inspection results and treatment rationales have been described in detail, adequately illustrated with color pictures of the tongues.The book is organized as follows: The etiology and pathogenesis from TCM perspectives are comprehensively discussed in the introduction. Part I includes various theories of different experts. Part II presents reports of the clinical cases one by one.

This book enables readers to acquire a fundamental knowledge of computer vision from the perspective of geometry, including knowledge of image processing and pattern recognition intended for two-dimensional geometry analysis of images, knowledge of computer vision intended for three-dimensional geometry analysis of images. From the pedagogic point of view, the author intends that this book helps students develop an ability to flexibly apply geometry fundamentals of computer vision to solve practical engineering problems. In this sense, this book is also a professional reference for engineers dedicated to computer vision involved intelligent systems. This book attaches importance to clarification of how relevant knowledge of computer vision stems from practical applications and emphasizes the dialectic relationship between the knowledge and practical applications, enabling readers not only to “know how” for practice, but also to “know why” in terms of mathematical essence. Throughout this book, the author tends to provide detailed theoretical derivations and explanations to clarify essential reasons behind computer vision methods. Besides, this book provides plenty of original demonstration code scripts (in Matlab) that are complete, interesting, easy for practice, and of application values for engineering activities. By code demonstration, the author presents how to flexibly take advantage of geometry fundamentals of computer vision to realize various kinds of visual effects that are actually technology basis of many interesting and useful applications.

This book enables readers to acquire a fundamental knowledge of control theory on classical control, modern control, and advanced control, including representative control methods.

This open access book provides a detailed exploration of energy management in seaport integrated energy systems, highlighting their potential to replace conventional fuel-based energy usage and promote sustainable development of large ports.