Volpi elena (45 resultados)

Paperback. Condición: New.

Rilegato. Condición: ottimo. Estado de la sobrecubierta: buono. quarta edizione, Edizione per insegnanti. Raro manuale scolastico di geometria del periodo bellico (settembre 1942). Il volume si distingue per l'approccio didattico "intuitivo", tipico dell'epoca, che utilizza monumenti e architetture italiane (Pisa, Ravenna, Roma) per illustrare i solidi geometrici. ​Particolarità: Presente in antiporta la firma autografa originale dell'autore (Manarini) con numero di serie (N. 8652), apposta come sigillo di garanzia contro le contraffazioni. ​Contenuti: Teoria e problemi di geometria piana e solida, tavole illustrate fuori testo su strumenti di laboratorio (calibri, compassi), architettura e appendici metriche. ​Condizioni: Stato buono/discreto. Brossura editoriale originale con segni di usura e fioriture dovute al tempo e alla qualità della carta autarchica. Interni completi e leggibili, caratterizzati da numerose note e formule manoscritte a penna e matita dell'epoca che testimoniano l'uso scolastico storico. ​Pagine: Circa 220 (incluse tavole fuori testo e appendici). ​English Version (for international buyers): ​Title: Nozioni di Geometria Intuitiva - Italian Geometry Textbook (WWII Era) Authors: M. Manarini, E. Manarini-Pini, R. Volpi Publisher: Marzocco, Florence, 1942. ​Description: Interesting Italian geometry textbook from 1942 (Fascist Era, Year XX). A fine example of "intuitive" pedagogy, using Italian landmarks (Leaning Tower of Pisa, Roman Mausoleums) to teach solid geometry. ​Signature: Includes the original author's signature (Manarini) on the title page as a copyright guarantee (serial number 8652). ​Condition: Good to Fair. Original softcover shows aging and some foxing due to wartime paper quality. The interior is well-preserved with fascinating contemporary student handwritten notes and formulas throughout, adding unique historical character. ​Key Features: Illustrated plates showing laboratory tools (calipers, compasses) and architectural geometry. Teacher's Edition. Autografato dall'autore.…

Condición: New.

Paperback. Condición: new. Paperback. Nowadays, hydrological systems are becoming increasingly complex owing to the growing interaction between nature and humans at the local scale of river sections, lakes, reservoirs, catchments, etc., to the global scale. There is great demand for the development of models to evaluate, predict, and optimize the performance of complex hydrological systems whose behavior is characterized by a strong nonlinearity. However, traditional approaches can hardly handle this nonlinear behavior; moreover, the analysis of hydrological systems at the large scale, even global, requires dealing with large-volume and real-time data. In recent years, artificial intelligence (AI), especially deep learning, has shown great potential to process massive data and solve large-scale nonlinear problems. AI has been successfully applied to computer vision, machine translation, bioinformatics, drug design, and climate science. AI models have produced results comparable to and even better than expert human performance. It is expected that AI can significantly contribute to hydrology research as well as development.This book presents some of the latest advances in the field of AI in hydrology. Both theoretical and experimental chapters are included, covering new and emerging AI methods and models from various challenging problems in hydrology.In Focus a book series that showcases the latest accomplishments in water research. Each book focuses on a specialist area with papers from top experts in the field. It aims to be a vehicle for in-depth understanding and inspire further conversations in the sector. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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

Paperback. Condición: new. Paperback. In the last decades, the hydrology and water management sectors have been dealing with global changes, proposing several innovative solutions. Climate changes are leading to an increase in long hot and dry periods, alternating with short and intense rainfall events. Urban areas are particularly vulnerable to these changes: rapid population growth and intense anthropic activity enhance the risk of extreme hydrological events. Several solutions have been proposed in the last years to monitor, prevent, forecast and mitigate rainfall extremes and their effects in natural and urban environments. Some questions, however, remain unsolved and new issues are challenging the hydrological community.The inter- and multi-disciplinary aims and topics discussed in the chapters of this book are organised into the following three main topics: (1) climate change and geo-hydrological risk, (2) tools and techniques for improving the comprehension of catchment hydrology and river hydraulics, and (3) sustainable use of water resources.In Focus a book series that showcases the latest accomplishments in water research. Each book focuses on a specialist area with papers from top experts in the field. It aims to be a vehicle for in-depth understanding and inspire further conversations in the sector. 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.

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

Condición: new.

Condición: new.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New.

Condición: New.

Paperback. Condición: New. Nowadays, hydrological systems are becoming increasingly complex owing to the growing interaction between nature and humans at the local scale of river sections, lakes, reservoirs, catchments, etc., to the global scale. There is great demand for the development of models to evaluate, predict, and optimize the performance of complex hydrological systems whose behavior is characterized by a strong nonlinearity. However, traditional approaches can hardly handle this nonlinear behavior; moreover, the analysis of hydrological systems at the large scale, even global, requires dealing with large-volume and real-time data. In recent years, artificial intelligence (AI), especially deep learning, has shown great potential to process massive data and solve large-scale nonlinear problems. AI has been successfully applied to computer vision, machine translation, bioinformatics, drug design, and climate science. AI models have produced results comparable to and even better than expert human performance. It is expected that AI can significantly contribute to hydrology research as well as development.This book presents some of the latest advances in the field of AI in hydrology. Both theoretical and experimental chapters are included, covering new and emerging AI methods and models from various challenging problems in hydrology. In Focus - a book series that showcases the latest accomplishments in water research. Each book focuses on a specialist area with papers from top experts in the field. It aims to be a vehicle for in-depth understanding and inspire further conversations in the sector.…

Paperback. Condición: New. In the last decades, the hydrology and water management sectors have been dealing with global changes, proposing several innovative solutions. Climate changes are leading to an increase in long hot and dry periods, alternating with short and intense rainfall events. Urban areas are particularly vulnerable to these changes: rapid population growth and intense anthropic activity enhance the risk of extreme hydrological events. Several solutions have been proposed in the last years to monitor, prevent, forecast and mitigate rainfall extremes and their effects in natural and urban environments. Some questions, however, remain unsolved and new issues are challenging the hydrological community. The inter- and multi-disciplinary aims and topics discussed in the chapters of this book are organised into the following three main topics: (1) climate change and geo-hydrological risk, (2) tools and techniques for improving the comprehension of catchment hydrology and river hydraulics, and (3) sustainable use of water resources. In Focus - a book series that showcases the latest accomplishments in water research. Each book focuses on a specialist area with papers from top experts in the field. It aims to be a vehicle for in-depth understanding and inspire further conversations in the sector.…

Condición: New.

Paperback. Condición: New. Nowadays, hydrological systems are becoming increasingly complex owing to the growing interaction between nature and humans at the local scale of river sections, lakes, reservoirs, catchments, etc., to the global scale. There is great demand for the development of models to evaluate, predict, and optimize the performance of complex hydrological systems whose behavior is characterized by a strong nonlinearity. However, traditional approaches can hardly handle this nonlinear behavior; moreover, the analysis of hydrological systems at the large scale, even global, requires dealing with large-volume and real-time data. In recent years, artificial intelligence (AI), especially deep learning, has shown great potential to process massive data and solve large-scale nonlinear problems. AI has been successfully applied to computer vision, machine translation, bioinformatics, drug design, and climate science. AI models have produced results comparable to and even better than expert human performance. It is expected that AI can significantly contribute to hydrology research as well as development.This book presents some of the latest advances in the field of AI in hydrology. Both theoretical and experimental chapters are included, covering new and emerging AI methods and models from various challenging problems in hydrology. In Focus - a book series that showcases the latest accomplishments in water research. Each book focuses on a specialist area with papers from top experts in the field. It aims to be a vehicle for in-depth understanding and inspire further conversations in the sector.…

Paperback. Condición: New. In the last decades, the hydrology and water management sectors have been dealing with global changes, proposing several innovative solutions. Climate changes are leading to an increase in long hot and dry periods, alternating with short and intense rainfall events. Urban areas are particularly vulnerable to these changes: rapid population growth and intense anthropic activity enhance the risk of extreme hydrological events. Several solutions have been proposed in the last years to monitor, prevent, forecast and mitigate rainfall extremes and their effects in natural and urban environments. Some questions, however, remain unsolved and new issues are challenging the hydrological community. The inter- and multi-disciplinary aims and topics discussed in the chapters of this book are organised into the following three main topics: (1) climate change and geo-hydrological risk, (2) tools and techniques for improving the comprehension of catchment hydrology and river hydraulics, and (3) sustainable use of water resources. In Focus - a book series that showcases the latest accomplishments in water research. Each book focuses on a specialist area with papers from top experts in the field. It aims to be a vehicle for in-depth understanding and inspire further conversations in the sector.…

Condición: As New. Unread book in perfect condition.

Paperback. Condición: Brand New. 184 pages. 9.25x6.12x0.75 inches. In Stock.

Paperback. Condición: Brand New. 160 pages. 9.25x6.12x0.75 inches. In Stock.

Condición: As New. Unread book in perfect condition.

Condición: New. 2024. paperback. . . . . .

Condición: New. 2024. paperback. . . . . .

Paperback / softback. Condición: New. New copy - Usually dispatched within 3 working days.

Paperback / softback. Condición: New. New copy - Usually dispatched within 3 working days.