Tsoukalas lefteri (78 resultados)

Hardcover. Condición: Fair. 1. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.

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Hardcover. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Hardcover. Condición: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority.

Hardcover. Condición: Fair. 1. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.

hardcover. Condición: Very Good. Complete and clean. All pages present and readable, binding intact. Highlighting or writing is absent or limited to a handful of pages. No water damage. Cover and spine may show light shelf wear, edge bumping, or minor creasing. May have a remainder mark, stickers or sticker residue, or a previous owner's name. Access codes, CDs, DVDs, and other bundled supplements may not be included and should be assumed used or missing unless the listing explicitly states otherwise.…

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

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hardcover. Condición: Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

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Paperback. Condición: new. Paperback. Fuzzy logic principles, practices, and real-world applicationsThis hands-on guide offers clear explanations of fuzzy logic along with practical applications and real-world examples. Written by an award-winning engineer, Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning is aimed at improving competence and motivation in students and professionals alike.Inside, you will discover how to apply fuzzy logic in the context of pervasive digitization and big data across emerging technologies which require a very different man-machine relationship than the ones previously used in engineering, science, economics, and social sciences. Applications covered include intelligent energy systems with demand response, smart homes, electrification of transportation, supply chain efficiencies, smart cities, e-commerce, education, healthcare, and decarbonization.Serves as a classroom guide and as an on-the-job resourceAncillaries include a sample syllabus, test sets with answer keys, and additional self-study resources for studentsWritten by an expert in the field and experienced author Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New.

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

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

Condición: As New. Unread book in perfect condition.

Hardcover. Condición: Very Good+. 1st Edition. Minor shelf wear. Otherwise a tight, unmarked volume. Index. xix, 587 pp.

Condición: New.

Paperback. Condición: Brand New. 304 pages. 9.25x6.10x0.63 inches. In Stock.

Condición: new.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condición: new. Paperback. Fuzzy logic principles, practices, and real-world applicationsThis hands-on guide offers clear explanations of fuzzy logic along with practical applications and real-world examples. Written by an award-winning engineer, Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning is aimed at improving competence and motivation in students and professionals alike.Inside, you will discover how to apply fuzzy logic in the context of pervasive digitization and big data across emerging technologies which require a very different man-machine relationship than the ones previously used in engineering, science, economics, and social sciences. Applications covered include intelligent energy systems with demand response, smart homes, electrification of transportation, supply chain efficiencies, smart cities, e-commerce, education, healthcare, and decarbonization.Serves as a classroom guide and as an on-the-job resourceAncillaries include a sample syllabus, test sets with answer keys, and additional self-study resources for studentsWritten by an expert in the field and experienced author Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Condición: New.

Paperback. Condición: Brand New. pap/dsk edition. 210 pages. 11.00x8.75x0.50 inches. In Stock.

Hardback. Condición: New. As the global push toward a "green energy transition" accelerates, this book offers a critical reassessment of the path to Net Zero. Unlike past energy revolutions grounded in physical laws - such as the mastery of fire or the atomic age - today's transition is driven largely by policy mandates, subsidies, and climate alarm. Energy Transitions: The Energy-AI Nexus argues that this policy-first approach risks unintended consequences, including global energy scarcity and economic contraction, especially in the absence of scalable alternatives to fossil fuels.Drawing on deep historical analysis, physical principles like energy density and entropy production, and sobering emissions data, the book reveals that global CO2 emissions have continued to rise - despite more than $10 trillion spent on green initiatives. Instead of pursuing pre-industrial energy paradigms, the book proposes a realistic path to Net Zero: a nuclear energy transition empowered by artificial intelligence. AI is reframed not just as a high-consumption technology, but as a key enabler in managing complex, distributed energy systems. With sharp insights and evidence-based critique, it redefines the debate on climate, energy, and innovation - calling for realism, urgency, and a reorientation of strategy.Energy Transitions is essential reading for policymakers, technologists, energy analysts, and critical thinkers. Blending insights from climate policy, energy engineering, AI systems, and economic modeling, this book challenges conventional climate narratives and offers a blueprint for a more realistic, resilient energy future.…

Paperback. Condición: new. Paperback. Fuzzy logic principles, practices, and real-world applicationsThis hands-on guide offers clear explanations of fuzzy logic along with practical applications and real-world examples. Written by an award-winning engineer, Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning is aimed at improving competence and motivation in students and professionals alike.Inside, you will discover how to apply fuzzy logic in the context of pervasive digitization and big data across emerging technologies which require a very different man-machine relationship than the ones previously used in engineering, science, economics, and social sciences. Applications covered include intelligent energy systems with demand response, smart homes, electrification of transportation, supply chain efficiencies, smart cities, e-commerce, education, healthcare, and decarbonization.Serves as a classroom guide and as an on-the-job resourceAncillaries include a sample syllabus, test sets with answer keys, and additional self-study resources for studentsWritten by an expert in the field and experienced author Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.

Hardcover. Condición: new. Hardcover. As the global push toward a "green energy transition" accelerates, this book offers a critical reassessment of the path to Net Zero. Unlike past energy revolutions grounded in physical laws such as the mastery of fire or the atomic age today's transition is driven largely by policy mandates, subsidies, and climate alarm. Energy Transitions: The Energy-AI Nexus argues that this policy-first approach risks unintended consequences, including global energy scarcity and economic contraction, especially in the absence of scalable alternatives to fossil fuels.Drawing on deep historical analysis, physical principles like energy density and entropy production, and sobering emissions data, the book reveals that global CO2 emissions have continued to rise despite more than $10 trillion spent on green initiatives. Instead of pursuing pre-industrial energy paradigms, the book proposes a realistic path to Net Zero: a nuclear energy transition empowered by artificial intelligence. AI is reframed not just as a high-consumption technology, but as a key enabler in managing complex, distributed energy systems. With sharp insights and evidence-based critique, it redefines the debate on climate, energy, and innovation calling for realism, urgency, and a reorientation of strategy.Energy Transitions is essential reading for policymakers, technologists, energy analysts, and critical thinkers. Blending insights from climate policy, energy engineering, AI systems, and economic modeling, this book challenges conventional climate narratives and offers a blueprint for a more realistic, resilient energy future. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New. &Uumlber den AutorLefteri H. Tsoukalas is a professor of engineering and founding director of the AI Systems Lab at Purdue University. He has three decades of experience in intelligent systems with over 300 research publications .

Condición: Gut. Zustand: Gut | Seiten: 608 | Sprache: Englisch | Produktart: Bücher | Provides a truly accessible introduction and a fully integrated approach to fuzzy systems and neural networks-the definitive text for students and practicing engineers Researchers are already applying neural networks and fuzzy systems in series, from the use of fuzzy inputs and outputs for neural networks to the employment of individual neural networks to quantify the shape of a fuzzy membership function. But the integration of these two fields into a "neurofuzzy" technology holds even greater potential benefits in reducing computing time and optimizing results. Fuzzy and Neural Approaches in Engineering presents a detailed examination of the fundamentals of fuzzy systems and neural networks and then joins them synergistically-combining the feature extraction and modeling capabilities of the neural network with the representation capabilities of fuzzy systems. Exploring the value of relating genetic algorithms and expert systems to fuzzy and neural technologies, this forward-thinking text highlights an entire range of dynamic possibilities within soft computing. With examples specifically designed to illuminate key concepts and overcome the obstacles of notation and overly mathematical presentations often encountered in other sources, plus tables, figures, and an up-to-date bibliography, this unique work is both an important reference and a practical guide to neural networks and fuzzy systems.…