data science network engineering (44 risultati)

Condizione: Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.

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Condizione: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book includes research papers presented at the International Conference on Data Science and Network Engineering (ICDSNE 2025) organized by the Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, India, during July 18 19, 2025. It includes research work from researchers, academicians, business executives, and industry professionals for solving real-life problems by using the advancements and applications of data science and network engineering. This book covers many advanced topics, such as artificial intelligence (AI), machine learning (ML), deep learning (DL), computer networks, blockchain, security and privacy, Internet of things (IoT), cloud computing, big data, supply chain management, and many more. Different sections of this book are highly beneficial for the researchers, who are working in the field of data science and network engineering.

Condizione: Hervorragend. Zustand: Hervorragend | Seiten: 548 | Sprache: Englisch | Produktart: Bücher | This book includes research papers presented at the International Conference on Data Science and Network Engineering (ICDSNE 2023) organized by the Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, India, during July 21¿22, 2023. It includes research works from researchers, academicians, business executives, and industry professionals for solving real-life problems by using the advancements and applications of data science and network engineering. This book covers many advanced topics, such as artificial intelligence (AI), machine learning (ML), deep learning (DL), computer networks, blockchain, security and privacy, Internet of things (IoT), cloud computing, big data, supply chain management, and many more. Different sections of this book are highly beneficial for the researchers, who are working in the field of data science and network engineering.

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Paperback. Condizione: Brand New. 500 pages. 9.25x6.10x9.21 inches. In Stock.

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Condizione: New. pp. 548 1st ed. 2024 edition NO-PA16APR2015-KAP.

Taschenbuch. Condizione: Neu. Neuware -This book includes research papers presented at the International Conference on Data Science and Network Engineering (ICDSNE 2023) organized by the Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, India, during July 21¿22, 2023. It includes research works from researchers, academicians, business executives, and industry professionals for solving real-life problems by using the advancements and applications of data science and network engineering. This book covers many advanced topics, such as artificial intelligence (AI), machine learning (ML), deep learning (DL), computer networks, blockchain, security and privacy, Internet of things (IoT), cloud computing, big data, supply chain management, and many more. Different sections of this book are highly beneficial for the researchers, who are working in the field of data science and network engineering.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 548 pp. Englisch.

Taschenbuch. Condizione: Neu. Data Science and Network Engineering | Proceedings ICDSNE 2024 | Suyel Namasudra (u. a.) | Taschenbuch | xvii | Englisch | 2025 | Springer | EAN 9789819783359 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Condizione: New. 2023. Paperback. . . . . .

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book includes research papers presented at the International Conference on Data Science and Network Engineering (ICDSNE 2023) organized by the Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, India, during July 21-22, 2023. It includes research works from researchers, academicians, business executives, and industry professionals for solving real-life problems by using the advancements and applications of data science and network engineering. This book covers many advanced topics, such as artificial intelligence (AI), machine learning (ML), deep learning (DL), computer networks, blockchain, security and privacy, Internet of things (IoT), cloud computing, big data, supply chain management, and many more. Different sections of this book are highly beneficial for the researchers, who are working in the field of data science and network engineering.

Taschenbuch. Condizione: Neu. Neuware -This book includes research papers presented at the International Conference on Data Science and Network Engineering (ICDSNE 2024) organized by the Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, India, during July 12-13, 2024. It includes research works from researchers, academicians, business executives, and industry professionals for solving real-life problems by using the advancements and applications of data science and network engineering. This book covers many advanced topics, such as artificial intelligence (AI), machine learning (ML), deep learning (DL), computer networks, blockchain, security and privacy, Internet of things (IoT), cloud computing, big data, supply chain management, and many more. Different sections of this book are highly beneficial for the researchers, who are working in the field of data science and network engineering.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 416 pp. Englisch.

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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book includes research papers presented at the International Conference on Data Science and Network Engineering (ICDSNE 2024) organized by the Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, India, during July 12-13, 2024. It includes research works from researchers, academicians, business executives, and industry professionals for solving real-life problems by using the advancements and applications of data science and network engineering. This book covers many advanced topics, such as artificial intelligence (AI), machine learning (ML), deep learning (DL), computer networks, blockchain, security and privacy, Internet of things (IoT), cloud computing, big data, supply chain management, and many more. Different sections of this book are highly beneficial for the researchers, who are working in the field of data science and network engineering.

Paperback. Condizione: Brand New. 546 pages. 9.26x6.10x1.11 inches. In Stock.

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paperback. Condizione: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date: 2013 Pages: 208 Language: Chinese in Publisher: Social Sciences Academic Press borrowings of double-entry bookkeeping is to generate the basic tools of accounting data. Management Science and Engineering Series and accounting data network flow analysis: exploration of the principle of double-entry bookkeeping on the basis of the principle of double-entry bookkeeping. borrowing in the study. the creation of the the accounting network flow theory. Management Science and Engineering Series and accounting data network flow analysis: explore the principles of double-entry bookkeeping by theoretical preparation and analysis of objects. previous achievements. new logical borrowing teaching mode of double-entry bookkeeping. revealing its essence. and ultimately create a quantitative grasp of double-entry bookkeeping system based on the system theory accounting network flow theory. Its first results of the mathematical method to create a new financial accounting analysis method using graph theory. Management Science and Engineering Series and accounting data network flow analysis: exploration of the principle of double-entry bookkeeping for accounting teaching accounting theory. financial accounting software R & D. and accounting practices to read. Most of the content is just a high school education can understand. There are several mathematical derivation content requires linear algebra. graph theory and mathematical knowledge. but omitted to read. without prejudice to the overall understanding. Contents: Preface Chapter double-entry bookkeeping method and characteristics of Section I Enterprise. accounting section II. from a simple case to understand the history of the fourth quarter of double-entry bookkeeping III single-entry bookkeeping and double-entry bookkeeping double-entry bookkeeping method Section IV of the characteristics of the second chapter of double-entry bookkeeping theoretical research tool - Western scientific philosophy in the philosophy of science in the 19th century 1 previous Section II of the 20th century. Western science philosophy section III of the development of science and philosophy trajectory measurements and duplex the bookkeeping Law Section 5 of Mathematics and Accounting Section III double-entry bookkeeping principle research significance scientific theory. and its structure Chapter theory of double-entry bookkeeping and Inspection Section I Section II double-entry bookkeeping theoretical research section IV of double-entry bookkeeping theory indirect nature of section V of the theory of double-entry bookkeeping verify the classification of the principle of double-entry bookkeeping Literature Review Section 1 doctrine of double-entry bookkeeping. sect 50 years of double-entry bookkeeping textbooks Review of the third quarter of the foreign foreign scholars of the principle of double-entry bookkeeping Literature Review first Chapter Section V of the four Chinese scholars Principles of double-entry bookkeeping research literature review pointing everyone Chapter double-entry bookkeeping principle three doctrines Comment on double-entry bookkeeping. the mathematical structure of Section 1 double-entry bookkeeping equation doctrine Comment Section II double-entry bookkeeping funds kinetic theory of critical appraisal Analysis of the third quarter Richard Mattei Milicic. double-entry bookkeeping axiomatic doctrine of the fourth quarter of the mathematical structure of double-entry bookkeeping - Richard Mattei casic. duplex the bookkeeping axiomatic doctrine condensed interpretation of section V of double-entry bookkeeping axiomatic doctrine new axiomatic theory Analysis Chapter principle of double-entry bookkeeping Section I about the the new axiomatization doctrine logical Section II double-entry bookkeeping principles the new axiomatic doctrine of the third quarter new axiomatic t.

paperback. Condizione: New. Language:Chinese.Paperback. Pub Date: 2022-10-01 Pages: 652 Publisher: China Water Conservancy and Hydropower Press In this edition. Nell Dale is no longer the author of Data Structures (C++ Plus Implementation) (6th Edition) sole author. This book joins two authorsChip Weems and Tim Richardsand continues the fine tradition of previous editions. In other books. Chip and Nell co-authored for more than three decades. such as Java Plus Data Structures. which provided the foundation for this book.

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Paperback. Condizione: new. Paperback. This book includes research papers presented at the International Conference on Data Science and Network Engineering (ICDSNE 2025) organized by the Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, India, during July 1819, 2025. It includes research work from researchers, academicians, business executives, and industry professionals for solving real-life problems by using the advancements and applications of data science and network engineering. This book covers many advanced topics, such as artificial intelligence (AI), machine learning (ML), deep learning (DL), computer networks, blockchain, security and privacy, Internet of things (IoT), cloud computing, big data, supply chain management, and many more. Different sections of this book are highly beneficial for the researchers, who are working in the field of data science and network engineering. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book includes research papers presented at the International Conference on Data Science and Network Engineering (ICDSNE 2025) organized by the Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, India, during July 18 19, 2025. It includes research work from researchers, academicians, business executives, and industry professionals for solving real-life problems by using the advancements and applications of data science and network engineering. This book covers many advanced topics, such as artificial intelligence (AI), machine learning (ML), deep learning (DL), computer networks, blockchain, security and privacy, Internet of things (IoT), cloud computing, big data, supply chain management, and many more. Different sections of this book are highly beneficial for the researchers, who are working in the field of data science and network engineering. 340 pp. Englisch.

Paperback. Condizione: new. Paperback. This book includes research papers presented at the International Conference on Data Science and Network Engineering (ICDSNE 2025) organized by the Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, India, during July 1819, 2025. It includes research work from researchers, academicians, business executives, and industry professionals for solving real-life problems by using the advancements and applications of data science and network engineering. This book covers many advanced topics, such as artificial intelligence (AI), machine learning (ML), deep learning (DL), computer networks, blockchain, security and privacy, Internet of things (IoT), cloud computing, big data, supply chain management, and many more. Different sections of this book are highly beneficial for the researchers, who are working in the field of data science and network engineering. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.