Описание: The book is concerned with contemporary methodologies used for automatic text summarization. It proposes interesting approaches to solve well-known problems on text summarization using computational intelligence (CI) techniques including cognitive approaches. A better understanding of the cognitive basis of the summarization task is still an open research issue; an extent of its use in text summarization is highlighted for further exploration. With the ever-growing text, people in research have little time to spare for extensive reading, where summarized information helps for a better understanding of the context at a shorter time.This book helps students and researchers to automatically summarize the text documents in an efficient and effective way. The computational approaches and the research techniques presented guides to achieve text summarization at ease. The summarized text generated supports readers to learn the context or the domain at a quicker pace. The book is presented with reasonable amount of illustrations and examples convenient for the readers to understand and implement for their use. It is not to make readers understand what text summarization is, but for people to perform text summarization using various approaches. This also describes measures that can help to evaluate, determine, and explore the best possibilities for text summarization to analyse and use for any specific purpose. The illustration is based on social media and healthcare domain, which shows the possibilities to work with any domain for summarization. The new approach for text summarization based on cognitive intelligence is presented for further exploration in the field.
Описание: This book highlights the application of Geographical Information System (GIS) and nature based algorithms to solve the problems of water and water based renewable energy resources.
As data holdings get bigger and questions get harder, data scientists and analysts must focus on the systems, the tools and techniques, and the disciplined process to get the correct answer, quickly Whether you work within industry or government, this book will provide you with a foundation to successfully and confidently process large amounts of quantitative data.
Here are just a dozen of the many questions answered within these pages:
What does quantitative analysis of a system really mean?
What is a system?
What are big data and analystics?
How do you know your numbers are good?
What will the future data science environment look like?
How do you determine data provenance?
How do you gather and process information, and then organize, store, and synthesize it?
How does an organization implement data analytics?
Do you really need to think like a Chief Information Officer?
What is the best way to protect data?
What makes a good dashboard?
What is the relationship between eating ice cream and getting attacked by a shark?
The nine chapters in this book are arranged in three parts that address systems concepts in general, tools and techniques, and future trend topics. Systems concepts include contrasting open and closed systems, performing data mining and big data analysis, and gauging data quality. Tools and techniques include analyzing both continuous and discrete data, applying probability basics, and practicing quantitative analysis such as descriptive and inferential statistics. Future trends include leveraging the Internet of Everything, modeling Artificial Intelligence, and establishing a Data Analytics Support Office (DASO).
Many examples are included that were generated using common software, such as Excel, Minitab, Tableau, SAS, and Crystal Ball. While words are good, examples can sometimes be a better teaching tool. For each example included, data files can be found on the companion website. Many of the data sets are tied to the global economy because they use data from shipping ports, air freight hubs, largest cities, and soccer teams. The appendices contain more detailed analysis including the 10 T's for Data Mining, Million Row Data Audit (MRDA) Processes, Analysis of Rainfall, and Simulation Models for Evaluating Traffic Flow.
Автор: Quinones-Grueiro, Marcos, Llanes Santiago, Orestes Название: Monitoring Multimode Continuous Processes ISBN: 303054737X ISBN-13(EAN): 9783030547370 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines recent methods for data-driven fault diagnosis of multimode continuous processes. The book provides both theoretical and practical tools to help readers address the fault diagnosis problem by drawing data-driven methods from at least three different areas: statistics, unsupervised, and supervised learning.
Описание: This book offers the latest advances and results in the fields of machine learning and deep learning for wireless communications and provides positive discussions on the challenges and prospects. It includes a broad spectrum in understanding the improvements motivated by specific constraints posed by wireless communications.
Автор: Joanna Ko?odziej; Samee Ullah Khan; Tadeusz Burczy Название: Advances in Intelligent Modelling and Simulation ISBN: 3642432611 ISBN-13(EAN): 9783642432613 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers new ideas, theories, models, technologies, system architectures and applications in intelligent scalable systems, exploring such Artificial Intelligence-based techniques as fuzzy logic, neural networks, evolutionary, and memetic algorithms.
Автор: Guorong Wu; Pierrick Coup?; Yiqiang Zhan; Brent Mu Название: Patch-Based Techniques in Medical Imaging ISBN: 3319281933 ISBN-13(EAN): 9783319281933 Издательство: Springer Рейтинг: Цена: 6708.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
A Multi-level Canonical Correlation Analysis Scheme for Standard-dose PET Image Estimation.- Image Super-Resolution by Supervised Adaption of Patchwise Self-Similarity from High-Resolution Image.- Automatic Hippocampus Labeling Using the Hierarchy of Sub-Region Random Forests.- Isointense Infant Brain Segmentation by Stacked Kernel Canonical Correlation Analysis.- Improving Accuracy of Automatic Hippocampus Segmentation in Routine MRI by Features Learned from Ultra-high Field MRI.- Dual-Layer l1-Graph Embedding for Semi-Supervised Image Labeling.- Automatic Liver Tumor Segmentation in Follow-up CT Studies Using Convolutional Neural Network.- Block-based Statistics for Robust Non-Parametric Morphometry.- Automatic Collimation Detection in Digital Radiographs with the Directed Hough Transform and Learning-based Edge Detection.- Efficient Lung Cancer Cell Detection with Deep Convolutional Neural Network.- An Effective Approach for Robust Lung Cancer Cell Detection.- Laplacian Shape Editing with Local Patch Based Force Field for Interactive Segmentation.- Hippocampus Segmentation through Distance Field Fusion.- Learning a Spatiotemporal Dictionary for Magnetic Resonance Fingerprinting with Compress Sensing.- Fast Regions-of-Interest Detection in Whole Slide Histopathology Images.- Reliability Guided Forward and Backward Patch-based Method for Multi-atlas Segmentation.- Correlating Tumour Histology and ex vivo MRI Using Dense Modality-Independent Patch-Based Descriptor.- Multi-Atlas Segmentation using Patch-Based Joint Label Fusion with Non-Negative Least Squares Regression.- A Spatially Constrained Deep Learning Framework for Detection of Epithelial Tumor Nuclei in Cancer Histology Images.- 3D MRI Denoising using Rough Set Theory and Kernel Embedding Method.- A Novel Cell Orientation Congruence Descriptor for Superpixel based Epithelium Segmentation in Endometrial Histology Images.- Patch-based Segmentation from MP2RAGE Images: Comparison to Conventional Techniques.- Multi-Atlas and Multi-Modal Hippocampus Segmentation for Infant MR Brain Images by Propagating Anatomical Labels on Hypergraph.- Prediction of Infant MRI Appearance and Anatomical Structure Evolution using Sparse Patch-based Metamorphosis Learning Framework.- Efficient Multi-Scale Patch-based Segmentation.
Описание: This 2-volume work represents the proceedings of the First European Workshop on Fault Diagnostics, Reliability and Re- lated Knowledge-Based Approaches held in the Island of Rho- des, Greece (August 3l-September 3, 1986). This Workshop was organized in the framework of a joint research project spon- sored by the Commission of the European Communi ties under the Stimulation Action Programme. The principal aim of the Workshop was to bring together people working on the numeric and symbolic (knowledge-based) treatment of reliability and fault diagnosis problems, in order to promote the interaction and exhange of ideas, expe- riences and results in this area. The workshop was a real success, with SS papers presen- ted and 70 participants. A second Workshop of the same na- ture has been decided to be held in Manchester (UMIST), - gland, in April 1987. . The two volumes contain sufficient amount of informa- tion which reflects very well the state-of-the-art of the field, and shows the current tendency towards knowledge-ba- sed (expert systems) and fault-tolerant approaches. Volume 1 contains the contributions on fault diagnostics and reliability issues (numeric treatment), and Vo-lume 2 the contributions on knowledge based and fault-tolerant techni- ques. We are grateful to the Commission of the European Com- munities for having sponsored the Workshop, and to all au- thors for their high quality contributions and presenta- tions.
Автор: Seung-Kyum Choi; Ramana Grandhi; Robert A. Canfiel Название: Reliability-based Structural Design ISBN: 1849966036 ISBN-13(EAN): 9781849966030 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides readers with an understanding of the fundamentals and applications of structural reliability, stochastic finite element method, reliability analysis via stochastic expansion, and optimization under uncertainty.
Описание: This book details advanced methods for tuning finite element simulations to measured data. Case studies demonstrate the principles and test the viability of the approaches. Coverage also critically analyzes the state of the art in FEM updating.
Автор: Yu, Wen, Thenozhi, Suresh Название: Active Structural Control with Stable Fuzzy PID Techniques ISBN: 3319280244 ISBN-13(EAN): 9783319280240 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction.- Active Structural Control.- Position and Velocity Estimation.- Stable PID Active Control of Building Structures.- Fuzzy PID Control of Building Structures.- Fuzzy Sliding-Mode Control for Wind-Induced Vibration.- Conclusions.
Автор: Cury Alexandre, Ribeiro Diogo, Ubertini Filippo Название: Structural Health Monitoring Based on Data Science Techniques ISBN: 3030817156 ISBN-13(EAN): 9783030817152 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The modern structural health monitoring (SHM) paradigm of transforming in situ, real-time data acquisition into actionable decisions regarding structural performance, health state, maintenance, or life cycle assessment has been accelerated by the rapid growth of "big data" availability and advanced data science.
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