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Download the ebooks for this Research Topic: Volume I.A: ¦PDF¦ ¦EPUB Volume I.B: ¦PDF¦ ¦ EPUB Hepatobiliary tumor, mainly including hepatocellular carcinoma, cholangiocarcinoma and gallbladder cancer, is a group of highly aggressive malignancies. Hepatocellular carcinoma, cholangiocarcinoma and gallbladder cancer have different biological characters, histopathological traits, and treatment strategies, but have similar clinical features such as silent early symptom and extremely poor prognosis. The diagnostic, predictive or prognostic tumor biomarkers of hepatobiliary cancers are in unmet need. In contrast to the poor outcome, the treatment options to hepatobiliary cancers are very limi...
FAT MIMETICS FOR FOOD APPLICATIONS Detailed resource providing insight into the understanding of fat mimetics and their use for the development of food products Fat Mimetics for Food Applications explores strategies for the development of fat mimetics for food applications, including meat, dairy, spreads and baked products, covering all the physical strategies and presenting the main characterization techniques for the study of fat mimetics behaviour. The text further provides insight into the understanding of fat mimetics in food structure and how it affects food products. Fat Mimetics for Food Applications is organized into five sections. The first section provides a historical overview an...
Deep learning (DL), mainly composed of deep and complex neural networks such as recurrent network and convolutional network, is an emerging research branch in the field of artificial intelligence and machine learning. DL revolution has a far-reaching impact on all scientific disciplines and every corner of our lives. With continuing technological advances, marine science is entering into the big data era with the exponential growth of information. DL is an effective means of harnessing the power of big data. Combined with unprecedented data from cameras, acoustic recorders, satellite remote sensing, and large model outputs, DL enables scientists to solve complex problems in biology, ecosyste...
This new book, Advances in Energy Materials and Environment Engineering, covers the timely issue of green applications of materials. It covers the diverse usages of carbon nanotubes for energy, for power, for the protection of the environment, and for new energy applications. The diverse topics in the volume include energy saving technologies, renewable energy, clean energy development, nuclear engineering and hydrogen energy, advanced power semiconductors, power systems and energy and much more. This timely book addresses the need of the hour and will prove to be valuable for environmentally conscious industry professionals, faculty and students, and researchers in materials science, engineering, and environment with interest in energy materials.
The 2012 International Conference on Applied Biotechnology (ICAB 2012) was held in Tianjin, China on October 18-19, 2012. It provides not only a platform for domestic and foreign researchers to exchange their ideas and experiences with the application-oriented research of biotechnology, but also an opportunity to promote the development and prosperity of the biotechnology industry. The proceedings of ICAB 2012 mainly focus on the world's latest scientific research and techniques in applied biotechnology, including Industrial Microbial Technology, Food Biotechnology, Pharmaceutical Biotechnology, Environmental Biotechnology, Marine Biotechnology, Agricultural Biotechnology, Biological Materia...
This book constitutes the proceedings of the 20th International Conference on Web Information Systems and Applications, WISA 2023, held in Chengdu, China, in September 2023. The 43 full papers and 9 short papers presented in this book were carefully reviewed and selected from 213 submissions. The papers are grouped in topical sections on Data Mining and Knowledge Discovery, Recommender Systems, Natural Language Processing, Security, Privacy and Trust, Blockchain, Parallel and Distributed Systems and Database for Artificial Intelligence..
The two-volume set CCIS 1142 and 1143 constitutes thoroughly refereed contributions presented at the 26th International Conference on Neural Information Processing, ICONIP 2019, held in Sydney, Australia, in December 2019. For ICONIP 2019 a total of 345 papers was carefully reviewed and selected for publication out of 645 submissions. The 168 papers included in this volume set were organized in topical sections as follows: adversarial networks and learning; convolutional neural networks; deep neural networks; embeddings and feature fusion; human centred computing; human centred computing and medicine; human centred computing for emotion; hybrid models; image processing by neural techniques; learning from incomplete data; model compression and optimization; neural network applications; neural network models; semantic and graph based approaches; social network computing; spiking neuron and related models; text computing using neural techniques; time-series and related models; and unsupervised neural models.
Each of us spends almost a third of our life asleep. Sleep is important for normal life processes including blood, metabolism, immune, endocrine, and brain activity. Neuroimaging studies of sleep disorders have not received as much attention as other psychiatric diseases. Here, we introduce some new findings in neuroimaging field of sleep disorders from five chapters in different aspects.
The four-volume proceedings LNCS 13108, 13109, 13110, and 13111 constitutes the proceedings of the 28th International Conference on Neural Information Processing, ICONIP 2021, which was held during December 8-12, 2021. The conference was planned to take place in Bali, Indonesia but changed to an online format due to the COVID-19 pandemic. The total of 226 full papers presented in these proceedings was carefully reviewed and selected from 1093 submissions. The papers were organized in topical sections as follows: Part I: Theory and algorithms; Part II: Theory and algorithms; human centred computing; AI and cybersecurity; Part III: Cognitive neurosciences; reliable, robust, and secure machine learning algorithms; theory and applications of natural computing paradigms; advances in deep and shallow machine learning algorithms for biomedical data and imaging; applications; Part IV: Applications.