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There Is Still Singing in the Afterlife
An elegiac illumination of personal and political histories misremembered and censored, There Is Still Singing In The Afterlife is animated by the intimate language of spirits-living, loved, and gone-singing to us from the hereafter. A poet of deep noticing, JinJin Xu interrogates the nature of witness and memory, taking seriously the consequence of confession in a foreign land, in a language not her own. Xu grapples with a forbidden language-blending the lyric with confession and erasure to sing the unspeakable, to open our eyes to seek the light. This is a stellar debut from a poet you should watch out for.
Federated Learning
This book introduces readers to the fundamentals of and recent advances in federated learning, focusing on reducing communication costs, improving computational efficiency, and enhancing the security level. Federated learning is a distributed machine learning paradigm which enables model training on a large body of decentralized data. Its goal is to make full use of data across organizations or devices while meeting regulatory, privacy, and security requirements. The book starts with a self-contained introduction to artificial neural networks, deep learning models, supervised learning algorithms, evolutionary algorithms, and evolutionary learning. Concise information is then presented on mul...
Ma Mi's Tail
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Cyber Space and Outer Space Security
This book delves into cutting-edge research in cyberspace and outer space security, encompassing both theoretical and experimental aspects. It provides mitigation measures and strategies to address the identified challenges within. It covers a spectrum of topics including techniques and strategies for enhancing cyberspace security, combating ransomware attacks, and securing autonomous vehicles. Additionally, it explores security and surveillance systems involving autonomous vehicles, resilience schemes against security attacks using blockchain for autonomous vehicles, security analysis of autonomous drones (UAVs), the cybersecurity kill chain, the internet of drones (IoD), and cyberspace sol...
Proceedings of the 2022 International Conference on Smart Manufacturing and Material Processing (SMMP2022)
Smart manufacturing is a broad category of manufacturing that employs computer-integration, high levels of adaptability and rapid design changes, together with digital information technology and a technically-trained workforce. This book presents the proceedings of SMMP2022, the 2022 International Conference on Smart Manufacturing and Material Processing, held on 12 and 13 August 2022 as a virtual event due to continuing restrictions related to the COVID-19 pandemic, and hosted from Shanghai, China. The conference provides a platform for researchers and scientists from smart manufacturing and material sciences to come together with researchers from various other application areas to discuss ...
Young Enough To Change The World
Many young people today yearn to make a positive difference in the world—and not just when they’re grown up. Presented with an opportunity and support, they have the ability to do that. Alexander the Great, Joan of Arc, Mary Shelley, (author of Frankenstein) and Louis Braille (who created the Braille system), all made a major contribution to society before they were out of their teens. Although young people are idealistic, they have a sincere desire to help those less fortunate than they are in the world. However, the disheartening message that society sends them is, “Not yet; you’re too young to do anything important right now.” The 15 stories of young people from around the world...
Data-Driven Evolutionary Optimization
Intended for researchers and practitioners alike, this book covers carefully selected yet broad topics in optimization, machine learning, and metaheuristics. Written by world-leading academic researchers who are extremely experienced in industrial applications, this self-contained book is the first of its kind that provides comprehensive background knowledge, particularly practical guidelines, and state-of-the-art techniques. New algorithms are carefully explained, further elaborated with pseudocode or flowcharts, and full working source code is made freely available. This is followed by a presentation of a variety of data-driven single- and multi-objective optimization algorithms that seamlessly integrate modern machine learning such as deep learning and transfer learning with evolutionary and swarm optimization algorithms. Applications of data-driven optimization ranging from aerodynamic design, optimization of industrial processes, to deep neural architecture search are included.
