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Computational Analysis of Storylines: Making Sense of Events (Studies in Natural Language Processing)
Автор: Limpopo5 от 2022-02-07, 06:38:33
Название: Computational Analysis of Storylines: Making Sense of Events (Studies in Natural Language Processing)
Автор: Tommaso Caselli, Eduard Hovy Издательство: Cambridge University Press Год: 2021 Страниц: 275 Язык: английский Формат: pdf (true) Размер: 10.1 MB Event structures are central in Linguistics and Artificial Intelligence research: people can easily refer to changes in the world, identify their participants, distinguish relevant information, and have expectations of what can happen next. Part of this process is based on mechanisms similar to narratives, which are at the heart of information sharing. But it remains difficult to automatically detect events or automatically construct stories from such event representations. This book explores how to handle today's massive news streams and provides multidimensional, multimodal, and distributed approaches, like automated Deep Learning, to capture events and narrative structures involved in a 'story'. This overview of the current state-of-the-art on event extraction, temporal and casual relations, and storyline extraction aims to establish a new multidisciplinary research community with a common terminology and research agenda. Graduate students and researchers in natural language processing, computational linguistics, and media studies will benefit from this book. Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models
Автор: Limpopo5 от 2021-12-11, 03:42:43
Название: Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models
Автор: Jorge Garza-Ulloa Издательство: Academic Press, Elsevier Год: 2022 Страниц: 705 Язык: английский Формат: pdf (true) Размер: 37.1 MB Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models focuses on the relationship between three different multidisciplinary branches of engineering: Biomedical Engineering, Cognitive Science and Computer Science through Artificial Intelligence models. Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models provides readers with the study of injuries, illness, and neurological diseases of the human body through Artificial Intelligence using Machine Learning (ML), Deep Learning (DL) and Cognitive Computing (CC) models based on algorithms developed with MATLAB and IBM Watson. Trends and Advancements of Image Processing and Its Applications
Автор: Limpopo5 от 2021-11-14, 16:45:46
Название: Trends and Advancements of Image Processing and Its Applications
Автор: Prashant Johri, Mario Jose Divan, Ruqaiya Khanam Издательство: Springer Серия: EAI/Springer Innovations in Communication and Computing Год: 2022 Страниц: 306 Язык: английский Формат: pdf (true) Размер: 11.2 MB Image processing is a great tool for many applications in our day-to-day life. Anyone could be captivated by the variety of forms, colors, textures, and motion among other perceptible aspects in the world. This book is intended to cover current technological innovations and applications in the emerging field of image processing and analysis techniques with application in the clinical industry, remote sensing, forensics, astronomy, manufacturing, defense, and many more that depend on image storage, display, and information disclosure about the world around us. The book presents the concepts and techniques of remote sensing, such as image mining and geographical and agricultural resources, medical image detection and diagnoses, image recognition and analysis, Artificial Intelligence (AI), computer vision, Machine Learning (ML), Deep Learning-based image analysis, pattern recognition and capsule networks in object tracking, remote sensing, moving object tracking, and wavelet transformation. Artificial Intelligence and Machine Learning in Business Management: Concepts, Challenges, and Case Studies
Автор: Limpopo5 от 2021-11-07, 15:33:07
Название: Artificial Intelligence and Machine Learning in Business Management: Concepts, Challenges, and Case Studies
Автор: Sandeep K. Panda, Vaibhav Mishra, R. Balamurali Издательство: CRC Press Год: 2022 Страниц: 279 Язык: английский Формат: pdf (true) Размер: 29.4 MB The focus of this book is to introduce Artificial Intelligence (AI) and Machine Learning (ML) technologies into the context of Business Management. The book gives insights into the implementation and impact of AI and ML to business leaders, managers, technology developers, and implementers. With the maturing use of AI or ML in the field of business intelligence, this book examines several projects with innovative uses of AI beyond data organization and access. It follows the Predictive Modeling Toolkit for providing new insight on how to use improved AI tools in the field of business. ML is a field of study that gives computers an ability to learn without being explicitly programmed, whereas data science deals with extracting knowledge from data. Deep Learning is a big artificial neural network which mimics the network of neurons in a human brain. It is a subset of ML and is called “deep learning” because it uses deep neural networks for learning. Deep Learning and IoT in Healthcare Systems: Paradigms and Applications
Автор: Limpopo5 от 2021-10-24, 21:52:27
Название: Deep Learning and IoT in Healthcare Systems: Paradigms and Applications
Автор: Krishna Kant Singh, PhD, Akansha Singh, PhD Издательство: CRC Press, Apple Academic Press Год: 2022 Страниц: 349 Язык: английский Формат: pdf (true) Размер: 24.1 MB This new volume discusses the applications and challenges of Deep Learning and the Internet of Things (IoT) for applications in healthcare. It describes Deep Learning techniques along with IoT used by practitioners and researchers worldwide. The text offers mathematical and conceptual background presenting the latest technology. The authors look at the role and impact that Deep Learning and the IoT plays in healthcare systems, such as the convergence of IoT and Deep Learning to enable things to communicate, share information, and coordinate decisions. The book includes deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. Application of Machine Learning and Deep Learning Methods to Power System Problems
Автор: Limpopo5 от 2021-10-23, 15:35:40
Название: Application of Machine Learning and Deep Learning Methods to Power System Problems
Автор: Morteza Nazari-Heris, Somayeh Asadi Издательство: Springer Год: 2022 Страниц: 390 Язык: английский Формат: pdf (true), epub Размер: 48.9 MB This book evaluates the role of innovative Machine Learning (ML) and Deep Learning (DL) methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems. Cutting-edge case studies from around the world consider prediction, classification, clustering, and fault/event detection in power systems, providing effective and promising solutions for many novel challenges faced by power system operators. Accordingly, the application of various Machine Learning and Deep Learning methods such as artificial neural networks (ANNs), expert systems, fuzzy systems, evolutionary-based methods, deep neural network (DNN), convolutional neural network (CNN), and long short-term memory (LSTM) has been introduced as effective methods to handle the decision-making process of modeling power systems. Deep Learning: A Visual Approach
Автор: Limpopo5 от 2021-06-13, 04:09:57
Название: Deep Learning: A Visual Approach
Автор: Andrew Glassner Издательство: Andrew Glassner Год: 2021 Страниц: 776 Язык: английский Формат: epub Размер: 62.3 MB A richly-illustrated, full-color introduction to deep learning that offers visual and conceptual explanations instead of equations. You'll learn how to use key deep learning algorithms without the need for complex math. Ever since computers began beating us at chess, they've been getting better at a wide range of human activities, from writing songs and generating news articles to helping doctors provide healthcare. Deep Learning Applications of Short-range Radars
Автор: Limpopo5 от 2021-06-13, 03:51:12
Название: Deep Learning Applications of Short-range Radars
Автор: Avik Santra, Souvik Hazra Издательство: Artech House Год: 2020 Страниц: 361 Язык: английский Формат: pdf (true) Размер: 43.8 MB This exciting new resource presents emerging applications of Artificial Intelligence (AI) and Deep Learning (DL) in short-range radar. The book covers applications ranging from industrial, consumer space to emerging automotive applications. The book presents several human-machine interface (HMI) applications, such as gesture recognition and sensing, human activity classification, air-writing, material classification, vital sensing, people sensing, people counting, people localization and in-cabin automotive occupancy and smart trunk opening. Deep Neural Networks for Multimodal Imaging and Biomedical Applications
Автор: Limpopo5 от 2021-06-05, 09:01:44
Название: Deep Neural Networks for Multimodal Imaging and Biomedical Applications
Автор: Annamalai Suresh, R. Udendhran, S. Vimal Издательство: IGI Global Год: 2020 Страниц: 310 Язык: английский Формат: pdf (true) Размер: 11.8 MB The field of healthcare is seeing a rapid expansion of technological advancement within current medical practices. The implementation of technologies including neural networks, multi-model imaging, genetic algorithms, and soft computing are assisting in predicting and identifying diseases, diagnosing cancer, and the examination of cells. Implementing these biomedical technologies remains a challenge for hospitals worldwide, creating a need for research on the specific applications of these computational techniques. Enabling Machine Learning Applications in Data Science
Автор: Limpopo5 от 2021-05-29, 18:11:20
Название: Enabling Machine Learning Applications in Data Science
Автор: Aboul Ella Hassanien, Ashraf Darwish Издательство: Springer Год: 2021 Страниц: 392 Язык: английский Формат: pdf (true) Размер: 15.6 MB Today, it is all about the connected smarter world based on the new emerging technologies and Artificial Intelligence (AI) for sustainable development. Sustainable development purposes have been designed for meeting the human development goals while simultaneously sustaining the ability of natural resources in order to maintain the natural resources. AI and emerging technologies are currently used with many areas of applications in most sectors of the states. They can help humankind in achieving sustainability through technology for a more sustainable future for all.
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