RAJ SARKAR (31 risultati)

Condizione: New.

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

Condizione: New.

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

Taschenbuch. Condizione: Neu. Neuware - In October of 2023, Prem Chowdhury, a charismatic twenty-three year old architect, travels to the picturesque town of Dayrise in Himachal Pradesh to construct a luxurious hotel only to learn about a spine-chilling secret that is lurking within its depths- an ancient vampire plagues the town. Therefore, teaming up with newfound friends- Richard Hutson, a young graduate, Brandon Harper, a college dropout, and his younger brother, Matt Harper- the courageous quartet embarks on a thrilling adventure, risking their lives to protect the town's innocent inhabitants who are entirely dependent on them.As their battle intensifies, Prem's own inner demons emerge, giving birth to a darker personality that is the complete antithesis of his original charming nature. This burdens him even more, along with the responsibility of safeguarding his friends throughout the process while their bond strengthens.Journey with Prem and his friends in the Gothic-Horror drama as they fight together to protect everyone in the town's dark whispers.Genre - Gothic-Horror, Drama, Action, and Thriller.Category - Fiction.Reading level: (12-15)+Note - Despite the mature psychological subject matter, the narrative avoids strong language and explicit sexual content, maintaining a clean nature that makes it suitable for both mature and potentially under-aged audiences.The sequel is scheduled to release in December, 2026.

Condizione: New. In.

Condizione: New.

Hardcover. Condizione: 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.

Taschenbuch. Condizione: Neu. Geomorphic Risk Reduction Using Geospatial Methods and Tools | Raju Sarkar (u. a.) | Taschenbuch | Disaster Risk Reduction | xvii | Englisch | 2025 | Springer | EAN 9789819977093 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering.

Condizione: 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.

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

Buch. Condizione: 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. Condizione: Brand New. 342 pages. 9.25x6.10x9.21 inches. In Stock.

Hardcover. Condizione: 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Condizione: new. Paperback. Grrr-aaa-rrr!As he came more towards us and stood still, light from the streetlamps was shown upon him.his face was all covered with bruises, and he was looking down.'Excuse me, gentleman. Can we help you?' I said.The man looked up and then started breathing heavily.and kept on staring at us, opened his mouth and let out a big roar of anger. His teeth were all spiny and blood began to drip down from his mouth.Then, in a blink of an eye, he began to run towards us!I pushed Richard aside so that the man could not reach him, then I leaped on the other side, and fell hard on the ground.I had to act fast.WELCOME TO DAYRISE. In October 2023, a charismatic 23-year-old architect, Prem Chowdhury travels to Dayrise, Himachal Pradesh, to build a luxurious hotel, only to discover an ancient vampire plaguing the town. Teaming up with his newfound friends Richard Hutson, Brandon Harper, and Matt Harper, the courageous quartet risks their lives to protect the innocent locals. However, as the battle intensifies and their bonds strengthen, the crushing responsibility awakens a darker personality within Prem, which is the total opposite of his own charming nature, forcing him to fight both the external monster and his own emerging inner demons in order to protect everyone from the town's dark whispers.Genre - Gothic-Horror, Drama, Action, and Thriller.Category - Fiction.Reading level: (12-15)+The sequel is scheduled to release in December, 2026. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condizione: new. Hardcover. Grrr-aaarrr!As he came more towards us and stood still, light from the streetlamps was shown upon him.his face was all covered with bruises, and he was looking down.'Excuse me, gentleman. Can we help you?' I said.The man looked up and then started breathing heavily.and kept on staring at us, opened his mouth and let out a big roar of anger. His teeth were all spiny and blood began to drip down from his mouth.Then, in a blink of an eye, he began to run towards us!I pushed Richard aside so that the man could not reach him, then I leaped on the other side, and fell hard on the ground.I had to act fast.WELCOME TO DAYRISE. In October 2023, a charismatic 23-year-old architect, Prem Chowdhury travels to Dayrise, Himachal Pradesh, to build a luxurious hotel, only to discover an ancient vampire plaguing the town. Teaming up with his newfound friends Richard Hutson, Brandon Harper, and Matt Harper, the courageous quartet risks their lives to protect the innocent locals. However, as the battle intensifies and their bonds strengthen, the crushing responsibility awakens a darker personality within Prem, which is the total opposite of his own charming nature, forcing him to fight both the external monster and his own emerging inner demons in order to protect everyone from the town's dark whispers.Genre - Gothic-Horror, Drama, Action, and Thriller.Category - Fiction.Reading level: (12-15)+The sequel is scheduled to release in December, 2026. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Taschenbuch. Condizione: Neu. THE WHISPERING TOWN | ARE YOU AFRAID OF VAMPIRES? | Raj Sarkar | Taschenbuch | Englisch | 2025 | Notion Press | EAN 9798902074526 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Condizione: new. Questo è un articolo print on demand.

Buch. Condizione: Neu. THE WHISPERING TOWN | ARE YOU AFRAID OF VAMPIRES? | Raj Sarkar | Buch | Englisch | 2025 | Notion Press | EAN 9798902074533 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Grrr-aaa-rrr!As he came more towards us and stood still, light from the streetlamps was shown upon him.his face was all covered with bruises, and he was looking down.'Excuse me, gentleman. Can we help you ' I said.The man looked up and then started breathing heavily.and kept on staring at us, opened his mouth and let out a big roar of anger. His teeth were all spiny and blood began to drip down from his mouth.Then, in a blink of an eye, he began to run towards us!I pushed Richard aside so that the man could not reach him, then I leaped on the other side, and fell hard on the ground.I had to act fast.WELCOME TO DAYRISE. In October 2023, a charismatic 23-year-old architect, Prem Chowdhury travels to Dayrise, Himachal Pradesh, to build a luxurious hotel, only to discover an ancient vampire plaguing the town. Teaming up with his newfound friends Richard Hutson, Brandon Harper, and Matt Harper, the courageous quartet risks their lives to protect the innocent locals. However, as the battle intensifies and their bonds strengthen, the crushing responsibility awakens a darker personality within Prem, which is the total opposite of his own charming nature, forcing him to fight both the external monster and his own emerging inner demons in order to protect everyone from the town's dark whispers.Genre - Gothic-Horror, Drama, Action, and Thriller.Category - Fiction.Reading level: (12-15)+The sequel is scheduled to release in December, 2026.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 344 pp. Englisch.

Hardcover. Condizione: Brand New. 342 pages. 9.25x6.10x9.21 inches. In Stock. This item is printed on demand.

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 344 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Highlights scientific methods to reduce the geomorphic hazard impact of different regionsProvides a pathway towards the management of different geomorphic hazards riskApplies advanced machine learning methods in modelling geomorphic hazards.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 325 pp. Englisch.

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 344 pp. Englisch.

Condizione: New. Print on Demand.