Rane jayesh (82 résultats)

Paperback. Etat : Brand New. 56 pages. 8.66x5.91x0.13 inches. In Stock.

Etat : New.

Etat : New.

Taschenbuch. Etat : Neu. Person Identification System using Handwritten signatures by ANN | A Neural Network Perspective | Jayesh Rane | Taschenbuch | 56 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139894710 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Etat : New. In English.

Etat : New.

Etat : New.

Hardcover. Etat : new. Hardcover. With rapid urbanization defining the 21st Century, cities face mounting challenges in achieving sustainability, equity, and functionality. This book explores how innovative technologies such as Artificial Intelligence (AI) and Large Language Models (LLMs) can transform urban development by offering intelligent, data-driven solutions. LLMs go beyond automation, acting as co-creators in addressing environmental sustainability, resource management, and equitable development. By analyzing regulations, best practices, and real-time data on phenomena such as air pollution and traffic, these models empower urban planners to design smarter, more sustainable cities while fostering collaboration across disciplines.Divided into five sections, the book explores the diverse applications of LLMs, from optimizing renewable energy systems and enhancing urban planning to revolutionizing construction practices and improving resource efficiency. It highlights case studies on integrating AI with smart infrastructure, ecological balance, and disaster resilience. While underscoring their transformative potential, the book also examines ethical considerations such as bias, privacy, and environmental impact. More than a collection of research, this work is a call to action for urban planners, data scientists, policymakers, and researchers to harness AI responsibly in building greener, more equitable urban futures. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Etat : Brand New. 474 pages. 9.25x6.10x9.49 inches. In Stock.

Taschenbuch. Etat : Neu. Large Language Models for Sustainable Urban Development | Nitin Liladhar Rane (u. a.) | Taschenbuch | The Springer Series in Applied Machine Learning | xx | Englisch | 2026 | Springer | EAN 9783031860416 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - With rapid urbanization defining the 21st Century, cities face mounting challenges in achieving sustainability, equity, and functionality. This book explores how innovative technologies such as Artificial Intelligence (AI) and Large Language Models (LLMs) can transform urban development by offering intelligent, data-driven solutions. LLMs go beyond automation, acting as co-creators in addressing environmental sustainability, resource management, and equitable development. By analyzing regulations, best practices, and real-time data on phenomena such as air pollution and traffic, these models empower urban planners to design smarter, more sustainable cities while fostering collaboration across disciplines.Divided into five sections, the book explores the diverse applications of LLMs, from optimizing renewable energy systems and enhancing urban planning to revolutionizing construction practices and improving resource efficiency. It highlights case studies on integrating AI with smart infrastructure, ecological balance, and disaster resilience. While underscoring their transformative potential, the book also examines ethical considerations such as bias, privacy, and environmental impact. More than a collection of research, this work is a call to action for urban planners, data scientists, policymakers, and researchers to harness AI responsibly in building greener, more equitable urban futures. …

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - With rapid urbanization defining the 21st Century, cities face mounting challenges in achieving sustainability, equity, and functionality. This book explores how innovative technologies such as Artificial Intelligence (AI) and Large Language Models (LLMs) can transform urban development by offering intelligent, data-driven solutions. LLMs go beyond automation, acting as co-creators in addressing environmental sustainability, resource management, and equitable development. By analyzing regulations, best practices, and real-time data on phenomena such as air pollution and traffic, these models empower urban planners to design smarter, more sustainable cities while fostering collaboration across disciplines.Divided into five sections, the book explores the diverse applications of LLMs, from optimizing renewable energy systems and enhancing urban planning to revolutionizing construction practices and improving resource efficiency. It highlights case studies on integrating AI with smart infrastructure, ecological balance, and disaster resilience. While underscoring their transformative potential, the book also examines ethical considerations such as bias, privacy, and environmental impact. More than a collection of research, this work is a call to action for urban planners, data scientists, policymakers, and researchers to harness AI responsibly in building greener, more equitable urban futures.…

Etat : New.

Hardcover. Etat : Brand New. 474 pages. 9.25x6.10x9.49 inches. In Stock.

Hardcover. Etat : new. Hardcover. With rapid urbanization defining the 21st Century, cities face mounting challenges in achieving sustainability, equity, and functionality. This book explores how innovative technologies such as Artificial Intelligence (AI) and Large Language Models (LLMs) can transform urban development by offering intelligent, data-driven solutions. LLMs go beyond automation, acting as co-creators in addressing environmental sustainability, resource management, and equitable development. By analyzing regulations, best practices, and real-time data on phenomena such as air pollution and traffic, these models empower urban planners to design smarter, more sustainable cities while fostering collaboration across disciplines.Divided into five sections, the book explores the diverse applications of LLMs, from optimizing renewable energy systems and enhancing urban planning to revolutionizing construction practices and improving resource efficiency. It highlights case studies on integrating AI with smart infrastructure, ecological balance, and disaster resilience. While underscoring their transformative potential, the book also examines ethical considerations such as bias, privacy, and environmental impact. More than a collection of research, this work is a call to action for urban planners, data scientists, policymakers, and researchers to harness AI responsibly in building greener, more equitable urban futures. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Etat : New.

Taschenbuch. Etat : Neu. Système d'identification des personnes à l'aide de signatures manuscrites par ANN | Une perspective de réseau neuronal | Jayesh Rane | Taschenbuch | Französisch | 2023 | Editions Notre Savoir | EAN 9786205795668 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Etat : New. In English.

Etat : New.

Etat : New.

Etat : New.

Etat : New.

Taschenbuch. Etat : Neu. Sistema di identificazione di persone tramite firme manoscritte mediante ANN | Una prospettiva di rete neurale | Jayesh Rane | Taschenbuch | Italienisch | 2023 | Edizioni Sapienza | EAN 9786205795675 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Etat : Neu. Sistema de Identificação de Pessoas utilizando assinaturas manuscritas pela ANN | Uma perspectiva de rede neural | Jayesh Rane | Taschenbuch | Portugiesisch | 2023 | Edições Nosso Conhecimento | EAN 9786205795682 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Etat : Neu. Identitätsprüfungssystem mit handschriftlichen Unterschriften unter Verwendung von ANN | Eine Perspektive für neuronale Netze | Jayesh Rane | Taschenbuch | 52 S. | Deutsch | 2023 | Verlag Unser Wissen | EAN 9786205795590 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Etat : New. In English.

Etat : New. In English.

Etat : New. In English.

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -We know that computers are better than people at crunching series of numbers, but what about tasks that are more complex How do you teach a computer what a cat looks like Or how to drive a car Or how to play a complex strategy game Or make predictions about the stock market These are some of the most difficult tasks in artificial intelligence, far outstripping the capabilities of normal machine learning techniques. In these cases, computer scientists turn to neural networks. What sets neural networks apart from other machine learning algorithms is that they make use of an architecture inspired by the neurons in the human brain. These networks turn out to be well-suited to modeling high-level abstractions across a wide array of disciplines and industries. 56 pp. Englisch.…

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Sabemos que los ordenadores son mejores que las personas para procesar series de números, pero ¿qué pasa con las tareas más complejas ¿Cómo se enseña a un ordenador el aspecto de un gato ¿O cómo conducir un coche ¿O cómo jugar a un complejo juego de estrategia ¿O a hacer predicciones sobre el mercado de valores Estas son algunas de las tareas más difíciles de la inteligencia artificial, que superan con creces las capacidades de las técnicas normales de aprendizaje automático. En estos casos, los informáticos recurren a las redes neuronales. Lo que diferencia a las redes neuronales de otros algoritmos de aprendizaje automático es que utilizan una arquitectura inspirada en las neuronas del cerebro humano. Estas redes resultan muy adecuadas para modelar abstracciones de alto nivel en una amplia gama de disciplinas e industrias. 52 pp. Spanisch.…