Abualigah laith (36 Ergebnisse)

Paperback. Zustand: Brand New. 76 pages. 8.66x5.91x0.18 inches. In Stock.

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Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides insights into how deep learning techniques impact language and speech processing applications. The authors discuss the promise, limits and the new challenges in deep learning. The book covers the major differences between the various applications of deep learning and the classical machine learning techniques. The main objective of the book is to present a comprehensive survey of the major applications and research oriented articles based on deep learning techniques that are focused on natural language and speech signal processing. The book is relevant to academicians, research scholars, industrial experts, scientists and post graduate students working in the field of speech signal and natural language processing and would like to add deep learning to enhance capabilities of their work.Discusses current research challenges and future perspective about how deep learning techniques can be applied to improve NLP and speech processing applications;Presents and escalates the research trends and future direction of language and speech processing;Includes theoretical research, experimental results, and applications of deep learning.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides insights into how deep learning techniques impact language and speech processing applications. The authors discuss the promise, limits and the new challenges in deep learning. The book covers the major differences between the various applications of deep learning and the classical machine learning techniques. The main objective of the book is to present a comprehensive survey of the major applications and research oriented articles based on deep learning techniques that are focused on natural language and speech signal processing. The book is relevant to academicians, research scholars, industrial experts, scientists and post graduate students working in the field of speech signal and natural language processing and would like to add deep learning to enhance capabilities of their work.Discusses current research challenges and future perspective about how deep learning techniques can be applied to improve NLP and speech processing applications;Presents and escalates the research trends and future direction of language and speech processing;Includes theoretical research, experimental results, and applications of deep learning.…

Hardcover. Zustand: Brand New. 177 pages. 9.25x6.10x0.63 inches. In Stock.

Taschenbuch. Zustand: Neu. Deep Learning Approaches for Spoken and Natural Language Processing | Virender Kadyan (u. a.) | Taschenbuch | Signals and Communication Technology | xii | Englisch | 2022 | Springer | EAN 9783030797805 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book puts forward a new method for solving the text document (TD) clustering problem, which is established in two main stages: (i) A new feature selection method based on a particle swarm optimization algorithm with a novel weighting scheme is proposed, as well as a detailed dimension reduction technique, in order to obtain a new subset of more informative features with low-dimensional space. This new subset is subsequently used to improve the performance of the text clustering (TC) algorithm and reduce its computation time. The k-mean clustering algorithm is used to evaluate the effectiveness of the obtained subsets. (ii) Four krill herd algorithms (KHAs), namely, the (a) basic KHA, (b) modified KHA, (c) hybrid KHA, and (d) multi-objective hybrid KHA, are proposed to solve the TC problem; each algorithm represents an incremental improvement on its predecessor. For the evaluation process, seven benchmark text datasets are used with different characterizations and complexities.Text document (TD) clustering is a new trend in text mining in which the TDs are separated into several coherent clusters, where all documents in the same cluster are similar. The findings presented here confirm that the proposed methods and algorithms delivered the best results in comparison with other, similar methods to be found in the literature.…

Hardcover. Zustand: Brand New. 165 pages. 9.50x6.25x0.50 inches. In Stock.

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Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 296 | Sprache: Englisch | Produktart: Bücher | This book is very beneficial for early researchers/faculty who want to work in deep learning and machine learning for the classification domain. It helps them study, formulate, and design their research goal by aligning the latest technologies studies¿ image and data classifications. The early start-up can use it to work with product or prototype design requirement analysis and its design and development.…

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 338 | Sprache: Englisch | Produktart: Bücher | In this thought-provoking guide, readers will embark on a journey through the fascinating realm of big data analytics, discovering how vast volumes of data can be collected, processed, and analyzed with remarkable precision. Through the lens of artificial intelligence, the reprint delves into the realm of machine learning, neural networks, natural language processing, and computer vision, demonstrating how these AI techniques can be leveraged to extract valuable insights and patterns from massive datasets. Key features of "Big Data Analytics Using Artificial Intelligence" include Comprehensive Coverage. Real-World Applications, Practical Guidance, Ethical Considerations, and Future Trends. Whether you are a data scientist, business analyst, or simply curious about the transformative power of big data and AI, "Big Data Analytics Using Artificial Intelligence" is your comprehensive guide to unlocking the potential of these technologies. Dive into this illuminating reprint and discover how the synergy of big data and AI can propel your understanding, decision-making, and innovation to new heights.…

Zustand: As New. Unread book in perfect condition.

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Taschenbuch. Zustand: Neu. Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems | Essam Halim Houssein (u. a.) | Taschenbuch | ix | Englisch | 2026 | Springer | EAN 9783030990817 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems. This book has exciting chapters that employ evolutionary and swarm optimization tools combined with machine learning techniques. The fields of applications are from distribution systems until medical diagnosis, and they are also included different surveys and literature reviews that will enrich the reader. Besides, cutting-edge methods such as neuroevolutionary and IoT implementations are presented in some chapters. In this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms.The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and can be used in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the material canbe helpful for research from the evolutionary computation, artificial intelligence communities.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems. This book has exciting chapters that employ evolutionary and swarm optimization tools combined with machine learning techniques. The fields of applications are from distribution systems until medical diagnosis, and they are also included different surveys and literature reviews that will enrich the reader. Besides, cutting-edge methods such as neuroevolutionary and IoT implementations are presented in some chapters. In this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms.The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and can be used in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the material canbe helpful for research from the evolutionary computation, artificial intelligence communities.…

Zustand: New. Laith Abualigah is an Associate Professor at the Computer Science Department at Al Al-Bayt University, Jordan. He is also a distinguished researcher at many prestigious universities. He obtained a PhD from the School of Computer Science at Univers.

Taschenbuch. Zustand: Neu. Classification Applications with Deep Learning and Machine Learning Technologies | Laith Abualigah | Taschenbuch | viii | Englisch | 2023 | Springer | EAN 9783031175787 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is very beneficial for early researchers/faculty who want to work in deep learning and machine learning for the classification domain. It helps them study, formulate, and design their research goal by aligning the latest technologies studies' image and data classifications. The early start-up can use it to work with product or prototype design requirement analysis and its design and development.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is very beneficial for early researchers/faculty who want to work in deep learning and machine learning for the classification domain. It helps them study, formulate, and design their research goal by aligning the latest technologies studies' image and data classifications. The early start-up can use it to work with product or prototype design requirement analysis and its design and development.…

Hardcover. Zustand: Brand New. 168 pages. 9.18x6.12x9.21 inches. In Stock.

Taschenbuch. Zustand: Neu. Enhancing Information Retrieval System By using AGA | Laith Abualigah | Taschenbuch | 76 S. | Englisch | 2017 | Scholars' Press | EAN 9783639762419 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Buch. Zustand: Neu. Neuware - A comprehensive compilation that explores a wide range of applications where deep learning techniques have had impact and its practical uses. The book covers fields like healthcare, finance, autonomous systems, and more. The methodologies such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), and reinforcement learning, have been included.In healthcare deep learning is used for medical image analysis, disease prediction, and personalized medicine. In the financial sector, aspects like fraud detection, algorithmic trading, and risk management are reviewed. Also autonomous systems, including self-driving cars and drones are explored.Each chapter includes detailed case studies, experimental results, and insights from leading experts, offering readers both foundational knowledge and advanced techniques. The book serves as a valuable resource for researchers, practitioners, and students seeking to understand the breadth and depth of deep learning applications.…

Hardcover. Zustand: Brand New. 216 pages. 9.18x6.12x9.21 inches. In Stock.

Paperback. Zustand: Brand New. 296 pages. 9.25x6.10x0.62 inches. In Stock.