Saha Sunil (85 results)

Condition: New.

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

Condition: New. Dipak Saha is currently Professor of Behavioural Strategy &amp Marketing with the Department of Management, Institute of Engineering &amp Management, Kolkata, India. He has over 20 years of corporate and academic experience. He has pub.

Taschenbuch. Condition: Neu. Neuware - Agility, sustainability, and business value have become crucial in the ever-changing world of modern business. This book investigates how these can work harmoniously and create value for businesses.The integration of agile sustainable practices, which include increasing responsiveness, effectiveness, and adaptability in procedures and decision-making, is not just a smart strategic move but is essential for organizations looking to build lasting value. Agility and sustainability work in congruence to help firms meet demands, manage the intricacies of today's economic environment, and take concrete steps towards caring for the health of the earth and its people. This book deals with sustainable practices in marketing, HR, and finance and offers effective strategies and tools for the integration of agility and sustainability in a variety of businesses. Presenting both the theoretical and practical perspectives, this volume will help in creating real commercial benefit by combining social and environmental responsibility with flexibility.Part of the Contemporary Management Practices series, this book will be useful to industry practitioners, researchers, and students who are interested in business and financial strategy, sustainable marketing, sustainable HR, sustainable finance, business value, adaptability, and management.…

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores the use of advanced geospatial techniques in geomorphic hazards modelling and risk reduction. It also compares the accuracy of traditional statistical methods and advanced machine learning methods and addresses the different ways to reduce the impact of geomorphic hazards.In recent years with the development of human infrastructures, geomorphic hazards are gradually increasing, which include landslides, flood and soil erosion, among others. They cause huge loss of human property and lives. Especially in mountainous, coastal, arid and semi-arid regions, these natural hazards are the main barriers for economic development. Furthermore, human pressure and specific human actions such as deforestation, inappropriate land use and farming have increased the danger of natural disasters and degraded the natural environment, making it more difficult for environmental planners and policymakers to develop appropriate long-term sustainability plans. The most challenging task is to develop a sophisticated approach for continuous inspection and resolution of environmental problems for researchers and scientists. However, in the past several decades, geospatial technology has undergone dramatic advances, opening up new opportunities for handling environmental challenges in a more comprehensive manner.With the help of geographic information system (GIS) tools, high and moderate resolution remote sensing information, such as visible imaging, synthetic aperture radar, global navigation satellite systems, light detection and ranging, Quickbird, Worldview 3, LiDAR, SPOT 5, Google Earth Engine and others deliver state-of-the-art investigations in the identification of multiple natural hazards. For a thorough examination, advanced computer approaches focusing on cutting-edge data processing, machine learning and deep learning may be employed. To detect and manage various geomorphic hazards and their impact, several models with a specific emphasis on natural resources and the environment may be created.…

Hardcover. Condition: new. Hardcover. This book explores the use of advanced geospatial techniques in geomorphic hazards modelling and risk reduction. It also compares the accuracy of traditional statistical methods and advanced machine learning methods and addresses the different ways to reduce the impact of geomorphic hazards.In recent years with the development of human infrastructures, geomorphic hazards are gradually increasing, which include landslides, flood and soil erosion, among others. They cause huge loss of human property and lives. Especially in mountainous, coastal, arid and semi-arid regions, these natural hazards are the main barriers for economic development. Furthermore, human pressure and specific human actions such as deforestation, inappropriate land use and farming have increased the danger of natural disasters and degraded the natural environment, making it more difficult for environmental planners and policymakers to develop appropriate long-term sustainability plans. The most challenging task is to develop a sophisticated approach for continuous inspection and resolution of environmental problems for researchers and scientists. However, in the past several decades, geospatial technology has undergone dramatic advances, opening up new opportunities for handling environmental challenges in a more comprehensive manner.With the help of geographic information system (GIS) tools, high and moderate resolution remote sensing information, such as visible imaging, synthetic aperture radar, global navigation satellite systems, light detection and ranging, Quickbird, Worldview 3, LiDAR, SPOT 5, Google Earth Engine and others deliver state-of-the-art investigations in the identification of multiple natural hazards. For a thorough examination, advanced computer approaches focusing on cutting-edge data processing, machine learning and deep learning may be employed. To detect and manage various geomorphic hazards and their impact, several models with a specific emphasis on natural resources and the environment may be created. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: New. In English.

Condition: Hervorragend. Zustand: Hervorragend | Seiten: 300 | Sprache: Englisch | Produktart: Bücher | This book explores the use of advanced geospatial techniques in geomorphic hazards modelling and risk reduction. It also compares the accuracy of traditional statistical methods and advanced machine learning methods and addresses the different ways to reduce the impact of geomorphic hazards. In recent years with the development of human infrastructures, geomorphic hazards are gradually increasing, which include landslides, flood and soil erosion, among others. They cause huge loss of human property and lives. Especially in mountainous, coastal, arid and semi-arid regions, these natural hazards are the main barriers for economic development. Furthermore, human pressure and specific human actions such as deforestation, inappropriate land use and farming have increased the danger of natural disasters and degraded the natural environment, making it more difficult for environmental planners and policymakers to develop appropriate long-term sustainability plans. The most challenging task is to develop a sophisticated approach for continuous inspection and resolution of environmental problems for researchers and scientists. However, in the past several decades, geospatial technology has undergone dramatic advances, opening up new opportunities for handling environmental challenges in a more comprehensive manner. With the help of geographic information system (GIS) tools, high and moderate resolution remote sensing information, such as visible imaging, synthetic aperture radar, global navigation satellite systems, light detection and ranging, Quickbird, Worldview 3, LiDAR, SPOT 5, Google Earth Engine and others deliver state-of-the-art investigations in the identification of multiple natural hazards. For a thorough examination, advanced computer approaches focusing on cutting-edge data processing, machine learning and deep learning may be employed. To detect and manage various geomorphic hazards and their impact, several models with a specific emphasis on natural resources and the environment may be created.…

Hardcover. Condition: new. Hardcover. This book discusses climate change, environmental dangers, and local communities responses to these problems. It is a valuable resource to a wide range of readers, including academics, researchers, and people working in governments, and non-governmental and international organizations.As climate change continues, the location of weather-related hazards may shift, creating new risks. Problems such as floods, landslides, soil erosion, heat waves, droughts, land degradation, and pollution are becoming more common due to human activities and climate change, causing major damage to property and loss of life. For decades, many countries have been looking for ways to deal with the impacts of climate change. These efforts have provided valuable lessons, especially for developing countries that are now facing the growing threat of climate-related disasters. Today, building community resilience to manage these environmental dangers has become a global priority. This book explores the patterns of climate change and the spread of environmental disasters. The volume also highlights how local communities knowledge can be used to build resilience against these challenges.The book is organized into three parts. The first part incorporates the modeling of climate change. In part 2, modeling of environmental hazards and its relation with climate change are explored. In part 3, community-based resilience to climate change and different environmental hazards are discussed. This book discusses climate change, environmental dangers, and local communities responses to these problems. In part 2, modeling of environmental hazards and its relation with climate change are explored. In part 3, community-based resilience to climate change and different environmental hazards are discussed. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores the use of advanced geospatial techniques in geomorphic hazards modelling and risk reduction. It also compares the accuracy of traditional statistical methods and advanced machine learning methods and addresses the different ways to reduce the impact of geomorphic hazards.In recent years with the development of human infrastructures, geomorphic hazards are gradually increasing, which include landslides, flood and soil erosion, among others. They cause huge loss of human property and lives. Especially in mountainous, coastal, arid and semi-arid regions, these natural hazards are the main barriers for economic development. Furthermore, human pressure and specific human actions such as deforestation, inappropriate land use and farming have increased the danger of natural disasters and degraded the natural environment, making it more difficult for environmental planners and policymakers to develop appropriate long-term sustainability plans. The most challenging task is to develop a sophisticated approach for continuous inspection and resolution of environmental problems for researchers and scientists. However, in the past several decades, geospatial technology has undergone dramatic advances, opening up new opportunities for handling environmental challenges in a more comprehensive manner.With the help of geographic information system (GIS) tools, high and moderate resolution remote sensing information, such as visible imaging, synthetic aperture radar, global navigation satellite systems, light detection and ranging, Quickbird, Worldview 3, LiDAR, SPOT 5, Google Earth Engine and others deliver state-of-the-art investigations in the identification of multiple natural hazards. For a thorough examination, advanced computer approaches focusing on cutting-edge data processing, machine learning and deep learning may be employed. To detect and manage various geomorphic hazards and their impact, several models with a specific emphasis on natural resources and the environment may be created.…

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New. 2024th edition NO-PA16APR2015-KAP.

Condition: New. In English.

Condition: New. In English.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses climate change, environmental dangers, and local communities responses to these problems. It is a valuable resource to a wide range of readers, including academics, researchers, and people working in governments, and non-governmental and international organizations.As climate change continues, the location of weather-related hazards may shift, creating new risks. Problems such as floods, landslides, soil erosion, heat waves, droughts, land degradation, and pollution are becoming more common due to human activities and climate change, causing major damage to property and loss of life. For decades, many countries have been looking for ways to deal with the impacts of climate change. These efforts have provided valuable lessons, especially for developing countries that are now facing the growing threat of climate-related disasters. Today, building community resilience to manage these environmental dangers has become a global priority. This book explores the patterns of climate change and the spread of environmental disasters. The volume also highlights how local communities knowledge can be used to build resilience against these challenges.The book is organized into three parts. The first part incorporates the modeling of climate change. In part 2, modeling of environmental hazards and its relation with climate change are explored. In part 3, community-based resilience to climate change and different environmental hazards are discussed.…

Condition: New.

Condition: New.

Condition: New.

Condition: New. Dipak Saha is currently Professor of Behavioural Strategy &amp Marketing with the Department of Management, Institute of Engineering &amp Management, Kolkata, India. He has over 20 years of corporate and academic experience. He has pub.

Condition: As New. Unread book in perfect condition.

Condition: New.

Taschenbuch. Condition: Neu. Cold Spray in the Realm of Additive Manufacturing | Sunil Pathak (u. a.) | Taschenbuch | Materials Forming, Machining and Tribology | x | Englisch | 2021 | Springer | EAN 9783030427580 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Condition: New.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book sheds light on the development of the cold spray process in applications of additive manufacturing (AM) and repair/remanufacturing engineering. It covers the process fundamentals of different cold spray techniques, namely low pressure cold spray and high pressure cold spray process. Bonding mechanism and powder substrate interface are an important part of the book. The chapters present the recent developments in materials used in cold spraying for AM and various coating applications. The latest research in this area as well as possible avenues of future research are also highlighted as a way to encourage the researchers.…

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book sheds light on the development of the cold spray process in applications of additive manufacturing (AM) and repair/remanufacturing engineering. It covers the process fundamentals of different cold spray techniques, namely low pressure cold spray and high pressure cold spray process. Bonding mechanism and powder substrate interface are an important part of the book. The chapters present the recent developments in materials used in cold spraying for AM and various coating applications. The latest research in this area as well as possible avenues of future research are also highlighted as a way to encourage the researchers. …

Condition: New.

Condition: New.

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

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