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Viral infections in animals occasionally develop potentially fatal diseases that affect almost all organs. Especially in zoonotic diseases, the causative agents that usually exist in animals can be transmitted between animal species to humans directly or via a vector. Throughout recent history, disease outbreaks and pandemics including SARS, H7N9, Ebola, and COVID-19, have led to a dramatic loss of human life worldwide and harmed economic growth. The most effective strategies for the control of disease are vaccination and early diagnosis. Vaccines directed against viral and bacterial pathogens prevent catastrophic losses of life in humans, other animals, and plants, and are considered among ...
Brain imaging has been successfully used to generate image-based biomarkers for various neurological and psychiatric disorders, such as Alzheimer’s and related dementias, Parkinson’s disease, stroke, traumatic brain injury, brain tumors, depression, schizophrenia, etc. However, accurate brain image-based diagnosis at the individual level remains elusive, and this applies to the diagnosis of neuropathological diseases as well as clinical syndromes. In recent years, deep learning techniques, due to their ability to learn complex patterns from large amounts of data, have had remarkable success in various fields, such as computer vision and natural language processing. Applying deep learning...
This book is the outcome of a joint collaboration between East China Normal University and the University of Luxembourg, initiated by the Center of Ideas for the Basic Education of the Future (IBEF), and focuses on kindergartens in China from a cultural psychology perspective. By coupling young scholars from diverse cultural backgrounds as research tandems, this book uses an innovative methodological method to reveal a deeply immersing research perspective of the often complicated issues in the Chinese social reality, where long historical tradition and strong motivation for a “modernized” future are fused together and continuously evolve itself into a vibrant and intricate landscape....
Proceedings of the 2013 Chinese Intelligent Automation Conference presents selected research papers from the CIAC’13, held in Yangzhou, China. The topics include e.g. adaptive control, fuzzy control, neural network based control, knowledge based control, hybrid intelligent control, learning control, evolutionary mechanism based control, multi-sensor integration, failure diagnosis, and reconfigurable control. Engineers and researchers from academia, industry, and government can gain an inside view of new solutions combining ideas from multiple disciplines in the field of intelligent automation. Zengqi Sun and Zhidong Deng are professors at the Department of Computer Science, Tsinghua University, China.
Things change rapidly in the field of engineering, and awareness of innovation in production techniques is essential for those working in the field if they are to utilise the best and most appropriate solutions available. This book presents the proceedings of ICAPIE-22, the 7th International Conference on Advanced Production and Industrial Engineering, held on 11 and 12 June 2022 in Delhi, India. The aim of the conference was to explore new windows for discoveries in design, materials and manufacturing, which have an important role in all fields of scientific growth, and to provide an arena for the showcasing of advancements and research endeavours from around the world. The 102 peer-reviewed and revised papers in this book include a large number of technical papers with rich content, describing ground-breaking research from various institutes. Covering a wide range of topics and promoting the contribution of production and industrial engineering and technology for a sustainable future, the book will be of interest to all those working in production and industrial engineering.
It collects the review papers of the 9th International Symposium on Physical Measurements and Signatures in Remote Sensing (ISPMSRS). It systematically summarizes the past achievements and identifies the frontier issues as the research agenda for the near future. It covers all aspects of land remote sensing, from sensor systems, physical modeling, inversion algorithms, to various applications.
Kernel methods have long been established as effective techniques in the framework of machine learning and pattern recognition, and have now become the standard approach to many remote sensing applications. With algorithms that combine statistics and geometry, kernel methods have proven successful across many different domains related to the analysis of images of the Earth acquired from airborne and satellite sensors, including natural resource control, detection and monitoring of anthropic infrastructures (e.g. urban areas), agriculture inventorying, disaster prevention and damage assessment, and anomaly and target detection. Presenting the theoretical foundations of kernel methods (KMs) re...
This two volume set (CCIS 398 and 399) constitutes the refereed proceedings of the International Symposium on Geo-Informatics in Resource Management and Sustainable Ecosystem, GRMSE 2013, held in Wuhan, China, in November 2013. The 136 papers presented, in addition to 4 keynote speeches and 5 invited sessions, were carefully reviewed and selected from 522 submissions. The papers are divided into 5 sessions: smart city in resource management and sustainable ecosystem, spatial data acquisition through RS and GIS in resource management and sustainable ecosystem, ecological and environmental data processing and management, advanced geospatial model and analysis for understanding ecological and environmental process, applications of geo-informatics in resource management and sustainable ecosystem.