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Impact of Cancer Plasticity on Drug Resistance and Treatment in Solid Tumors
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
2014 China Functional Materials Technology and Industry Forum
Selected, peer reviewed papers from the 2014 China Functional Material Technology and Industry Forum (CFMTIF 2014), August 26-28, 2014, Xi’an, China
Embedded Software and Systems
This book constitutes the thoroughly refereed postproceedings of the First International Conference on Embedded Software and Systems, ICESS 2004, held in Hangzhou, China in December 2004. The 80 revised full papers presented together with the abstracts of 4 keynote speeches and 4 invited talks were thoroughly reviewed and selected from almost 400 submissions. The papers are organized in topical sections on distributed embedded computing, embedded systems, embedded hardware and architecture, middleware for embedded computing, mobile systems, transducer network, embedded operating system, power-aware computing, real-time system, embedded system verification and testing, and software tools for embedded systems.
Atlas of Small Intestinal Disorders
This atlas composes of original contributions of characteristic cases of small intestinal diseases. The typical small intestinal diseases related cases are discussed in this book. Each case in the atlas is introduced with relevant clinical history and exemplified with educatory endoscopy images. With abundant illustrations, this atlas provides valuable information learned from the diagnoses and treatments of the patients with small intestinal diseases. It also introduces the advances of the latest medical technologies in small intestinal medicine, such as capsule endoscopy, double-balloon enteroscopy, and single-balloon enteroscopy. Small intestinal medicine is an emerging, fascinating and important discipline in gastroenterology. This Atlas can serve as a useful and educational guide to young doctors and a refreshing reference book to educators in this field, and hence promoting better clinical care for their patients.
Wireless Algorithms, Systems, and Applications
This book constitutes the refereed proceedings of the First Annual International Conference on Wireless Algorithms, Systems, and Applications, WASA 2006, held in Xi'an, China in August 2006. The book presents 63 revised full papers together with 2 invited keynote speech abstracts, organized in topical sections on wireless PAN and wireless LAN, wireless MAN and pervasive computing, data management, mobility, localization and topology control, performance modeling and analysis, security and more.
Deep Learning Applications with Practical Measured Results in Electronics Industries
This book collects 14 articles from the Special Issue entitled “Deep Learning Applications with Practical Measured Results in Electronics Industries” of Electronics. Topics covered in this Issue include four main parts: (1) environmental information analyses and predictions, (2) unmanned aerial vehicle (UAV) and object tracking applications, (3) measurement and denoising techniques, and (4) recommendation systems and education systems. These authors used and improved deep learning techniques (e.g., ResNet (deep residual network), Faster-RCNN (faster regions with convolutional neural network), LSTM (long short term memory), ConvLSTM (convolutional LSTM), GAN (generative adversarial network), etc.) to analyze and denoise measured data in a variety of applications and services (e.g., wind speed prediction, air quality prediction, underground mine applications, neural audio caption, etc.). Several practical experiments were conducted, and the results indicate that the performance of the presented deep learning methods is improved compared with the performance of conventional machine learning methods.
Mainland China
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