Artificial intelligence decision support (61 Ergebnisse)

Hardcover. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Hardcover. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

xxi, 387 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

hardcover. Zustand: Gut. 408 Seiten; 9783319688428.3 Gewicht in Gramm: 2.

Zustand: New. In English.

Zustand: New.

Zustand: New. pp. 832.

Hardcover. Zustand: Brand New. 164 pages. 9.75x6.50x0.75 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The field of healthcare is being transformed by artificial intelligence (AI). Professionals need to comprehend the potential impact of AI on clinical decision support and epidemiological modeling. This comprehensive guide helps bridge the gap between theory and practice, providing readers with the knowledge and skills needed to leverage AI in healthcare.The book covers a broad range of topics, from the basics of AI and machine learning to the creation and assessment of clinical decision support systems. It also covers the use of state-of-the-art AI methods for disease surveillance and outbreak prediction. Through a mix of theoretical explanations, practical examples, and hands-on exercises, readers will learn how to prepare and manipulate clinical and epidemiological datasets, build, and implement cutting-edge AI solutions, and address the ethical considerations and challenges of applying AI in healthcare.What makes this book unique is its combination of expert insights from a practitioner's perspective, real-world case studies, and a practical approach to walk readers through the process of developing and implementing AI solutions. Additional online resources, like datasets, code samples, and case studies, further enrich the learning experience.Whether you are a healthcare professional looking to enhance patient outcomes, a data scientist striving to create innovative AI solutions, or a student eager to explore the frontiers of healthcare technology, this book is an essential resource.…

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Zustand: Brand New. 164 pages. 9.00x6.00x0.25 inches. In Stock.

Zustand: New. 2025. perfect. . . . . . Books ship from the US and Ireland.

Paperback. Zustand: Brand New. 549 pages. 9.21x6.14x1.26 inches. In Stock.

Taschenbuch. Zustand: Neu. Artificial Intelligence Tools | Decision Support Systems in Condition Monitoring and DIagnosis | Diego Galar Pascual | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | CRC Press | EAN 9780367738358 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Zustand: New. 2020. 11th Edition. Paperback. . . . . . Books ship from the US and Ireland.

Zustand: New. &Uumlber den AutorRamesh Sharda (MBA, PhD, University of Wisconsin-Madison) is Vice Dean for Research and Graduate Programs, Watson/ConocoPhillips Chair, and Regents Professor of Management Science and Information Systems in the Spea.

Buch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Energy-intensive sectors such as industry and transportation are vital to economic development, yet remain major contributors to global energy consumption and greenhouse gas emissions. Enhancing their energy efficiency is essential to achieving climate resilience and meeting decarbonization goals. Despite abundant operational and sensor data, decision-making in these sectors often relies on heuristics and lacks systematic, transparent, and explainable analyticalsupport. Existing Artificial Intelligence (AI)-based decision support methods frequently fall short in integrating robust data preprocessing, causal interpretation, and actionable recommendation generation, limiting their practical impact.This book develops and validates an AI-driven decision support framework to improve energy efficiency in energy-intensive industrial and transportation systems. Guided by a three-cycle Design Science Research (DSR) methodology, the framework integrates complementary AI techniques into a modular, end-to-end architecture that transforms heterogeneous raw data into interpretable, actionable recommendations. It includes systematic data quality assessment and preprocessing pipelines, time-series segmentation, clustering key performance indicators for pattern recognition, causal inference methods to identify drivers of inefficiency, and a multimodal large language model (LLM)-based decision support module that translates analytical outcomes into domain-relevant strategies.…

Zustand: New. In English.

Zustand: New. In English.

Paperback. Zustand: Brand New. 407 pages. 5.83x0.91x8.27 inches. In Stock.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents research in artificial techniques using intelligence for energy transition, outlining several applications including production systems, energy production, energy distribution, energy management, renewable energy production, cyber security, industry 4.0 and internet of things etc. The book goes beyond standard application by placing a specific focus on the use of AI techniques to address the challenges related to the different applications and topics of energy transition. The contributions are classified according to the market and actor interactions (service providers, manufacturers, customers, integrators, utilities etc.), to the SG architecture model (physical layer, infrastructure layer, and business layer), to the digital twin of SG (business model, operational model, fault/transient model, and asset model), and to the application domain (demand side management, load monitoring, micro grids, energy consulting (residents, utilities), energy saving, dynamic pricing revenue management and smart meters, etc.).…

Taschenbuch. Zustand: Neu. Artificial Intelligence Techniques for a Scalable Energy Transition | Advanced Methods, Digital Technologies, Decision Support Tools, and Applications | Moamar Sayed-Mouchaweh | Taschenbuch | ix | Englisch | 2021 | Springer | EAN 9783030427283 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Zustand: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Zustand: New. In English.

Zustand: New. In English.

Paperback. Zustand: Brand New. 391 pages. 9.25x6.10x0.81 inches. In Stock.

Zustand: New. In English.

Hardcover. Zustand: Brand New. 391 pages. 9.25x6.10x9.21 inches. In Stock.