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- n/a 569
- thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues 487
- thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology 474
- machine learning 399
- deep learning 294
- thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general 262
- artificial intelligence 186
- T1-995 154
- Q1-390 125
- remote sensing 125
- TA1-2040 110
- convolutional neural network 108
- classification 107
- optimization 105
- sustainability 102
- thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology 99
- thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence 95
- thema EDItEUR::P Mathematics and Science::PS Biology, life sciences 91
- thema EDItEUR::U Computing and Information Technology::UY Computer science 91
- thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries 88
- thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes 83
- COVID-19 80
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- neural networks 80
- climate change 79
- transfer learning 74
- simulation 71
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- neural network 68
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Bayesian Networks
Veröffentlicht 2021“… Additionally, BNs' amenability to incremental or longitudinal improvement through incorporating new data affords extra advantages compared to traditional frequentist statistical methods. …”
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Seismic Waves
Veröffentlicht 2021“… The major topics in this book cover aspects on seismic wave propagation, characteristics of their velocities and attenuation, deformation process of the Earth's medium, seismic source process and tectonic dynamics with relating observations, as well as propagation modeling of seismic waves. …”
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Translational Studies on Inflammation
Veröffentlicht 2021“… From the molecular basis to experimental models, the chapters selected for this book bring to readers at different academic levels updated and practical data on inflammation. Find out what drives interdisciplinary medical research on inflammation and enjoy this informative collection. …”
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Current Practice in Fluvial Geomorphology
Veröffentlicht 2021“… In this collective effort, the application of geoinformatics, field data on natural rivers, instrumentation, use of analytic tools, scientific techniques, numerical models, case studies, illustrations, etc. in understanding formative processes and appraising fluvial landscapes will hopefully provide insight into the current practice of fluvial geomorphology and may guide fruitful and coherent scientific enquiry into the field. …”
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Processing and Analysis of Hyperspectral Data
Veröffentlicht 2021“… However, in contrast to RGB images from which information can be intuitively extracted, hyperspectral data is only useful with proper processing and analysis. …”
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Open Scientific Data
Veröffentlicht 2021“… Drawing on her own experiences with data processing, on early findings with open scientific data at CERN (the European Organization for Nuclear Research), and from case studies of shared clinical trial data, the author updates our understanding of research data - what it is; how it dynamically evolves across different scientific disciplines and across various stages of research practice; and how it can, and indeed should, be shared at any of those stages. …”
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Social Media and Machine Learning
Veröffentlicht 2021“… The volume and speed in which new content is being generated surpasses the processing capacity of machine learning systems. Analyzing such data demands new approaches coming from natural language processing, text mining, sentiment analysis, etc to understand and resolve the arising challenges. …”
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Lean Manufacturing and Six Sigma
Veröffentlicht 2021“… This book intends to provide the reader with a comprehensive overview of the current state, cases studies, hardware and software solutions, analytics, and data science in dependability engineering. …”
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Practical Applications of Electrocardiogram
Veröffentlicht 2021“… These methods include optimal techniques that can link the processing and analysis of nonstationary ECG signals, the various statistical methods of converting ECG data into variant maps, and the application of various ways of identifying premature atrial beats, ECG characteristics of right and left ventricular tachyarrhythmia, and conditions producing left ventricular hypertrophy, including hypertrophic cardiomyopathy. …”
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Statistical Methodologies
Veröffentlicht 2021“… Disguised by overwhelming data sets, advanced processing, and stunning presentations, the basic approach is often intractable to anyone but the analyst. …”
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New Trends in the Use of Artificial Intelligence for the Industry 4.0
Veröffentlicht 2021“… Industry 4.0 is based on the cyber-physical transformation of processes, systems and methods applied in the manufacturing sector, and on its autonomous and decentralized operation. …”
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Recent Trends in Computational Intelligence
Veröffentlicht 2021“… CI also comprises biologically-inspired technologies such as the intellect of swarm as part of evolutionary computation and encompassing wider areas such as image processing, data collection, and natural language processing. …”
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Computer and Network Security
Veröffentlicht 2021“… In the era of Internet of Things (IoT), and with the explosive worldwide growth of electronic data volume and the associated needs of processing, analyzing, and storing this data, several new challenges have emerged. …”
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Scheduling Problems
Veröffentlicht 2021“… This book presents some new applications and trends related to task and data scheduling. In particular, chapters focus on data science, big data, high-performance computing, and Cloud computing environments. …”
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Bayesian Inference on Complicated Data
Veröffentlicht 2021“… Due to great applications in various fields, such as social science, biomedicine, genomics, and signal processing, and the improvement of computing ability, Bayesian inference has made substantial developments for analyzing complicated data. …”
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