Описание: Through expanded intelligence, the use of robotics has fundamentally transformed a variety of fields, including manufacturing, aerospace, medicine, social services, and agriculture. Continued research on robotic design is critical to solving various dynamic obstacles individuals, enterprises, and humanity at large face on a daily basis.
Robotic Systems: Concepts, Methodologies, Tools, and Applications is a vital reference source that delves into the current issues, methodologies, and trends relating to advanced robotic technology in the modern world. Highlighting a range of topics such as mechatronics, cybernetics, and human-computer interaction, this multi-volume book is ideally designed for robotics engineers, mechanical engineers, robotics technicians, operators, software engineers, designers, programmers, industry professionals, researchers, students, academicians, and computer practitioners seeking current research on developing innovative ideas for intelligent and autonomous robotics systems.
Описание: Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries. It is necessary to develop new techniques for managing data in order to ensure adequate usage. Deep learning, a subset of artificial intelligence and machine learning, has been recognized in various real-world applications such as computer vision, image processing, and pattern recognition. The deep learning approach has opened new opportunities that can make such real-life applications and tasks easier and more efficient. Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications is a vital reference source that trends in data analytics and potential technologies that will facilitate insight in various domains of science, industry, business, and consumer applications. It also explores the latest concepts, algorithms, and techniques of deep learning and data mining and analysis. Highlighting a range of topics such as natural language processing, predictive analytics, and deep neural networks, this multi-volume book is ideally designed for computer engineers, software developers, IT professionals, academicians, researchers, and upper-level students seeking current research on the latest trends in the field of deep learning.
Автор: Sivaji Bandyopadhyay, Sudip Kumar Naskar, Asif Ekbal Название: Emerging Applications of Natural Language Processing: Concepts and New Research ISBN: 1466621699 ISBN-13(EAN): 9781466621695 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 28413.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides pertinent and vital information that researchers, postgraduate, doctoral students, and practitioners are seeking. This book compiles the latest discoveries and advances in NLP methodologies and applications while expanding upon various topics regarding the future of NLP.
Описание: Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries, including business and healthcare. It is necessary to develop specific software programs that can analyze and interpret large amounts of data quickly in order to ensure adequate usage and predictive results.
Cognitive Analytics: Concepts, Methodologies, Tools, and Applications provides emerging perspectives on the theoretical and practical aspects of data analysis tools and techniques. It also examines the incorporation of pattern management as well as decision-making and prediction processes through the use of data management and analysis. Highlighting a range of topics such as natural language processing, big data, and pattern recognition, this multi-volume book is ideally designed for information technology professionals, software developers, data analysts, graduate-level students, researchers, computer engineers, software engineers, IT specialists, and academicians.
Описание: Collecting and processing data is a necessary aspect of living in a technologically advanced society. Whether it's monitoring events, controlling different variables, or using decision-making applications, it is important to have a system that is both inexpensive and capable of coping with high amounts of data. As the application of these networks becomes more common, it becomes imperative to evaluate their effectiveness as well as other opportunities for possible implementation in the future.
Sensor Technology: Concepts, Methodologies, Tools, and Applications is a vital reference source that brings together new ways to process and monitor data and to put it to work in everything from intelligent transportation systems to healthcare to multimedia applications. It also provides inclusive coverage on the processing and applications of wireless communication, sensor networks, and mobile computing. Highlighting a range of topics such as internet of things, signal processing hardware, and wireless sensor technologies, this multi-volume book is ideally designed for research and development engineers, IT specialists, developers, graduate students, academics, and researchers.
Описание: If you`re a developer or data scientist new to NLP and deep learning, this practical guide shows you how to apply these methods using PyTorch, a Python-based deep learning library.
Автор: Khaled Shaalan; Aboul Ella Hassanien; Fahmy Tolba Название: Intelligent Natural Language Processing: Trends and Applications ISBN: 3319670557 ISBN-13(EAN): 9783319670553 Издательство: Springer Рейтинг: Цена: 34937.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Features Extraction and On-Line Recognition of Isolated Arabic Characters.- Using Text Mining Techniques for Extracting Information from Research Articles.- Authorship and Time Attribution of Arabic Texts Using JGAAP.- TALAA-ATSF: A Global Operation-Based Arabic Text Summarization Framework.- e="Calibri">An Evaluation of the Morphological Analysis of Egyptian Arabic TreeBank.- Alserag: An Automatic Diacritization System for Arabic.- font-size:11.0pt; line-height:107%;font-family: "Calibri","sans-serif";mso-ascii-theme-font: minor-latin; mso-fareast-font-family: Calibri;mso-fareast-theme-font: minor-latin;mso-hansi-theme-font: minor-latin;mso-bidi-font-family: Arial;mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US;mso-fareast-language: EN-US;mso-bidi-language: AR-SA">Developing a Transfer-based System for Arabic Dialects Translation.- Education and Knowledge Based Augmented Reality (AR).- 7%;font-family: "Calibri","sans-serif";mso-ascii-theme-font: minor-latin; mso-fareast-font-familyText Mining and Analytics: A Case Study from Channels Posts on Facebook.- A New Semantic Distance Measure for the VSM-Based Information Retrieval Systems.-family: "Calibri","sans-serif";mso-ascii-theme-font: minor-latin; mso-fareast-font-family: Calibri;mso-fareast-theme-font: minor-latin;mso-hansi-theme-font: minor-latin;mso-bidi-font-family: Arial;mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US;mso-fareast-language: EN-US;mso-bidi-language: AR-SA">
Описание: This book constitutes the refereed proceedings of the 11th International Conference, NooJ 2017, held in Kenitra and Rabat, Morocco, in May 2017. The 20 revised full papers presented in this volume were carefully reviewed and selected from 56 submissions.
Автор: Khaled Shaalan; Aboul Ella Hassanien; Fahmy Tolba Название: Intelligent Natural Language Processing: Trends and Applications ISBN: 3319883712 ISBN-13(EAN): 9783319883717 Издательство: Springer Рейтинг: Цена: 39130.00 р. Наличие на складе: Поставка под заказ.
Описание: This book brings together scientists, researchers, practitioners, and students from academia and industry to present recent and ongoing research activities concerning the latest advances, techniques, and applications of natural language processing systems, and to promote the exchange of new ideas and lessons learned. Taken together, the chapters of this book provide a collection of high-quality research works that address broad challenges in both theoretical and applied aspects of intelligent natural language processing. The book presents the state-of-the-art in research on natural language processing, computational linguistics, applied Arabic linguistics and related areas. New trends in natural language processing systems are rapidly emerging – and finding application in various domains including education, travel and tourism, and healthcare, among others. Many issues encountered during the development of these applications can be resolved by incorporating language technology solutions. The topics covered by the book include: Character and Speech Recognition; Morphological, Syntactic, and Semantic Processing; Information Extraction; Information Retrieval and Question Answering; Text Classification and Text Mining; Text Summarization; Sentiment Analysis; Machine Translation Building and Evaluating Linguistic Resources; and Intelligent Language Tutoring Systems.
Описание: NooJ provides linguists with tools to develop dictionaries, regular grammars, context-free grammars, context-sensitive grammars and unrestricted grammars as well as their graphical equivalent to formalize each linguistic phenomenon.
Описание: This book explains how can be created information extraction (IE) applications that are able to tap the vast amount of relevant information available in natural language sources: Internet pages, official documents such as laws and regulations, books and newspapers, and social web.
Описание: This book constitutes the refereed proceedings of the 12th International Conference, NooJ 2018, held in Palermo, Italy, in June 2018.The 17 revised full papers and 3 short papers presented in this volume were carefully reviewed and selected from 48 submissions. NooJ is a linguistic development environment that provides tools for linguists to construct linguistic resources that formalize a large gamut of linguistic phenomena: typography, orthography, lexicons for simple words, multiword units and discontinuous expressions, inflectional and derivational morphology, local, structural and transformational syntax, and semantics. The papers in this volume are organized in topical sections on vocabulary and morphology; syntax and semantics; and natural language processing applications.
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