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Efficient Nitrogen Fertilizer Management to Improve Crop Production
The improvement in global crop production over the past several decades has been associated with increased use of nitrogen (N) fertilizer. However, on average, less than 50% of the nitrogen added to croplands globally is harvested as crop product. Inefficient use of N fertilizer by crops will result in substantial agricultural nitrogen losses, posing threats to human and ecosystem health. Crop production must increase dramatically to meet the growing demand for food and biofuels projected for 2050. To boost crop yield with lowered environmental cost, the use of high-potential crop cultivars and efficient nitrogen fertilizer management are required. Recent advances in N management practices, such as enhanced-efficiency fertilizer use, improved manure management and machine deep placement of fertilizer have opened up new strategies to achieve improved crop production with N use reduction. A better understanding of the key crop traits and regulatory processes in response to N fertilizer managements will facilitate the increase in crop yield, N use efficiency while minimizing impacts on the environment.
Neural Information Processing
The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constitues the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017. The 563 full papers presented were carefully reviewed and selected from 856 submissions. The 6 volumes are organized in topical sections on Machine Learning, Reinforcement Learning, Big Data Analysis, Deep Learning, Brain-Computer Interface, Computational Finance, Computer Vision, Neurodynamics, Sensory Perception and Decision Making, Computational Intelligence, Neural Data Analysis, Biomedical Engineering, Emotion and Bayesian Networks, Data Mining, Time-Series Analysis, Social Networks, Bioinformatics, Information Security and Social Cognition, Robotics and Control, Pattern Recognition, Neuromorphic Hardware and Speech Processing.
Frontiers of Manufacturing Science and Measuring Technology III
Collection of selected, peer reviewed papers from the 2013 3rd International Conference on Frontiers of Manufacturing Science and Measuring Technology (ICFMM 2013), July 30-31, 2013, LiJiang, China. Volume is indexed by Thomson Reuters CPCI-S (WoS). The 518 papers are grouped as follows: Chapter 1: Practice of Design Engineering and Researches for Industry; Chapter 2: Applied Materials Engineering; Chapter 3: Measuring Technologies, Signal and Data Processing; Chapter 4: Control, Automation, Communication and Information Technologies; Chapter 5: Environmental Engineering, Urban Development, Transportation and Logistics; Chapter 6: Organization of Manufacture and Engineering Management.
Vehicle and Automotive Engineering 4
This book presents the selected proceedings of the (third) fourth Vehicle and Automotive Engineering conference, reflecting the outcomes of theoretical and practical studies and outlining future development trends in a broad field of automotive research. The conference’s main themes included design, manufacturing, economic and educational topics.
Bioinformatics Research and Applications
This book constitutes the proceedings of the 14th International Conference on Bioinformatics Research and Applications, ISBRA 2018, held in Beijing, China, in June 2018. The 24 full and 10 short papers presented in this volume were carefully reviewed and selected from a total of 138 submissions. They were organized in topical sections named: network analysis and modelling; genomic data analysis; cancer data analysis; structure and interaction; HPC and CryoEM; machine and deep learning; data analysis and methodology; analysis and visualization tools; and RNA-Seq data analysis.
Intelligent Computing Theories and Methodologies
This two-volume set LNCS 9225 and LNCS 9226 constitutes - in conjunction with the volume LNAI 9227 - the refereed proceedings of the 11th International Conference on Intelligent Computing, ICIC 2015, held in Fuzhou, China, in August 2015. The total of 191 full and 42 short papers presented in the three ICIC 2015 volumes was carefully reviewed and selected from 671 submissions. The papers are organized in topical sections such as evolutionary computation and learning; compressed sensing, sparse coding and social computing; neural networks, nature inspired computing and optimization; pattern recognition and signal processing; image processing; biomedical informatics theory and methods; differe...
Neural Information Processing
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.
Malware Analysis Using Artificial Intelligence and Deep Learning
This book is focused on the use of deep learning (DL) and artificial intelligence (AI) as tools to advance the fields of malware detection and analysis. The individual chapters of the book deal with a wide variety of state-of-the-art AI and DL techniques, which are applied to a number of challenging malware-related problems. DL and AI based approaches to malware detection and analysis are largely data driven and hence minimal expert domain knowledge of malware is needed. This book fills a gap between the emerging fields of DL/AI and malware analysis. It covers a broad range of modern and practical DL and AI techniques, including frameworks and development tools enabling the audience to innovate with cutting-edge research advancements in a multitude of malware (and closely related) use cases.
Space, Politics, and Cultural Representation in Modern China
Regarding revolution as a spatial practice, this book explores modes of spatial construction in modern China through a panoramic overview of major Chinese revolutionary events and nuanced analysis of cultural representations. Examining the relationship between revolution, space, and culture in modern China the author takes five spatially significant revolutionary events as case studies - the territorial dispute between Russia and the Qing dynasty in 1892, the Land Reform in the 1920s, the Long March (1934-36), the mainland-Taiwan split in 1949, and the Cultural Revolution (1966-76) - and analyses how revolution constructs, conceives, and transforms space. Using materials associated with thes...
