Northern Appalachia is one of the most biodiverse regions on Earth and home to a broad range of ecological and human cultures. With A Literary Field Guide to Northern Appalachia, editors Todd Davis and Noah Davis recognize and celebrate this diversity and the fact that humans are storytelling creatures who develop relationships with their landscapes at the intersection of art and science.A companion volume to A Literary Field Guide to Southern Appalachia, this gui...

"Exploring the World – Europe & America" presents in a bilingual English-Chinese edition, from a Chinese perspective, a synthetic profile of 9 countries (United Kingdom, France, Germany, Italy, Spain, Russia, United States, Canada, Mexico) in the fields of arts and culture, gastronomy or sports.

This book aims to introduce all aspects of Chinese civilization in a way that is easiest for readers in the Western world to understand. The first chapter of this book introduces the emergence, historical evolution and characteristics of Chinese civilization. The second chapter introduces the knowledge pedigree of Chinese civilization, which is characterized by human-centered and historical and social practice. The third chapter introduces the value pedigree of Chinese civilization with et...

Based on AI and machine learning, this book systematically presents the theories and methods for complex electro-mechanical system fault prognosis, intelligent diagnosis, and health state assessment in modern industry. The book emphasizes feature extraction, incipient fault prediction, fault classification, and degradation assessment, which are based on supervised-, semi-supervised-, manifold-, and deep learning; machinery degradation state tracking and prognosis by phase space reconstruct...

Over the past few decades, the field of machine learning has made remarkable strides, surpassing human performance in tasks like voice and object recognition, as well as mastering various complex games. Despite these accomplishments, a critical challenge remains: the absence of general intelligence. Achieving artificial general intelligence (AGI) requires the development of learning agents that can continually adapt and learn throughout their existence, a concept known as lifelong learning...

This book constitutes the refereed proceedings at PAKDD Workshops 2015, held in conjunction with PAKDD, the 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining in Ho Chi Minh City, Vietnam, in May 2015. The 23 revised papers presented were carefully reviewed and selected from 57 submissions. The workshops affiliated with PAKDD 2015 include: Pattern Mining and Application of Big Data (BigPMA), Quality Issues, Measures of Interestingness and Evaluation of data mining models (...

This book provides a thorough exploration of the latest innovations in AI for general time series analysis, distribution shift, and foundation models. It offers an in-depth look at cutting-edge techniques and methodologies, using advanced algorithms that are transforming time series analysis across industries. The authors highlight the use of AI models, particularly those based on deep learning, to study the sequence of data points collected at successive points in time.In the stud...

This book constitutes the refereed proceedings of the 13th Conference on Advanced Computer Architecture, ACA 2020, held in Kunming, China, in August 2020. Due to the COVID-19 pandemic the conference was held online.The 24 revised full papers presented were carefully reviewed and selected from 105 submissions. The papers of this volume are organized in topical sections on: interconnection network, router and network interface architecture; accelerator-based, application-specific and...

This volume provides food researchers with advanced destructive and non-destructive techniques for measuring the chemical composition, functional bioactivities physicochemical changes, and explaining the functional mechanisms for facilitating the tracking of the functional molecules during the different industrial processes. Chapters guide readers through sample preparation emerging extraction technologies protocols analytical methodologies for phytochemicals profiling, multi way models in...

This book provides a thorough exploration of the latest innovations in AI for general time series analysis, distribution shift and foundation models. It offers an in-depth look at cutting-edge techniques and methodologies, using advance algorithms that are transforming time series analysis across industries. The authors highlight the use AI models, particularly those based on deep learning, to study the sequence of data points collected at successive points in time. In the study of the use...

Deep Learning has achieved great success in many challenging research areas, such as image recognition and natural language processing. The key merit of deep learning is to automatically learn good feature representation from massive data conceptually. In this book, we will show that the deep learning technology can be a very good candidate for improving sensing capabilities.In this edited volume, we aim to narrow the gap between humans and machines by showcasing various deep learning appl...

This book reviews cutting-edge developments in neural signalling processing (NSP), systematically introducing readers to various models and methods in the context of NSP.Neuronal Signal Processing is a comparatively new field in computer sciences and neuroscience, and is rapidly establishing itself as an important tool, one that offers an ideal opportunity to forge stronger links between experimentalists and computer scientists. This new signal-processing tool can be used in conjun...