Biswajeet Pradhan (239 results)

24 cm. VIII, 398 S. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Deutsch.

XV, 157 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Advances in Science, Technology & Innovation. Sprache: Englisch.

Condition: New.

1st edition 2017. 23.5 cm x 15.5 cm, 0 g. XVI, 331 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

xxix, 361 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher.

Condition: New. In.

Condition: New. In.

Condition: New. In.

Condition: NEW.

Condition: New. pp. 220.

Condition: New. pp. 288.

Condition: New. In.

Condition: New.

Paperback. Condition: Brand New. 390 pages. 9.00x6.00x1.00 inches. In Stock.

Paperback. Condition: new. Paperback. Machine Learning in Geohazard Risk Prediction and Assessment: From Microscale Analysis to Regional Mapping presents an overview of the most recent developments in machine learning techniques that have reshaped our understanding of geo-materials and management protocols of geo-risk. The book covers a broad category of research on machine-learning techniques that can be applied, from microscopic modeling to constitutive modeling, to physics-based numerical modeling, to regional susceptibility mapping. This is a good reference for researchers, academicians, graduate and undergraduate students, professionals, and practitioners in the field of geotechnical engineering and applied geology. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. Predictive Models for the Development of Landslide Early Warning Systems details advanced techniques in implementing landslide early warning systems (LEWS). The book provides a comprehensive resource for practitioners by including different techniques and models in landslide early warning, their practical applications, and case studies. The modeling theory is provided in a detailed but succinct format, verified with onsite models for specific regions and scenarios for different types of landslides and triggering factors. The book covers four main topics, including monitoring, data acquisition, transmission and maintenance of the instruments; analysis and forecasting, forecasting methods, and warning/dissemination of understandable messages alerting.The exportability of different models is discussed in detail and followed by practical demonstrations for expert researchers as well as postgraduates needs. The book offers in-depth, up-to-date best practices for implementing LEWS based on current effective systems, new technologies, and standard methodologies at global level. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is related to various applications of laser scanning in landslide assessment. Landslide detection approaches, susceptibility, hazard, vulnerability assessment and various modeling techniques are presented. Optimization of landslide conditioning parameters and use of heuristic, statistical, data mining approaches, their advantages and their relationship with landslide risk assessment are discussed in detail. The book contains scanning data in tropical forests; its indicators, assessment, modeling and implementation. Additionally, debris flow modeling and analysis including source of debris flow identification and rockfall hazard assessment are also presented.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This bookdiscusses the application of Geospatial data, Geographic Information System (GIS) and Remote Sensing (RS) technologies in analysis and modeling of urban growth process, and its pattern, with special focus on sprawl and compact form of urban development. The book explains these two kinds of urban forms (sprawl and compact urban development)in detail regarding their advantages, disadvantages, indicators, assessment, modeling, implementation and their relationship with urban sustainability. It confirms that the proposed modeling approaches, geospatial data and GIS are very practical for identifying urban growth, land use change patterns and their general trends in future. The analyses and modeling approaches presented in this book can be employed to guide the identification and measurements of the changes and growth likely to happen in urban areas. In addition, this book can be helpful for town planning and development in order to design urban areas in a compact formand eventually sustainable manner.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This bookdiscusses the application of Geospatial data, Geographic Information System (GIS) and Remote Sensing (RS) technologies in analysis and modeling of urban growth process, and its pattern, with special focus on sprawl and compact form of urban development. The book explains these two kinds of urban forms (sprawl and compact urban development)in detail regarding their advantages, disadvantages, indicators, assessment, modeling, implementation and their relationship with urban sustainability. It confirms that the proposed modeling approaches, geospatial data and GIS are very practical for identifying urban growth, land use change patterns and their general trends in future. The analyses and modeling approaches presented in this book can be employed to guide the identification and measurements of the changes and growth likely to happen in urban areas. In addition, this book can be helpful for town planning and development in order to design urban areas in a compact formand eventually sustainable manner.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is related to various applications of laser scanning in landslide assessment. Landslide detection approaches, susceptibility, hazard, vulnerability assessment and various modeling techniques are presented. Optimization of landslide conditioning parameters and use of heuristic, statistical, data mining approaches, their advantages and their relationship with landslide risk assessment are discussed in detail. The book contains scanning data in tropical forests; its indicators, assessment, modeling and implementation. Additionally, debris flow modeling and analysis including source of debris flow identification and rockfall hazard assessment are also presented.

Kartoniert / Broschiert. Condition: New.

Condition: New.

Hardcover. Condition: new. Hardcover. This book uncovers and presents various real-life applications in the areas of transportation, smart cities, manufacturing, agriculture, disaster management, finance, health care and in other areas by using cutting-edge advanced Machine Learning (ML) techniques such as Deep Learning and Explainable AI (XAI) models using IoT sensor data. The book provides various examples of analyzing large amounts of data, detecting patterns, and making predictions in real-time applications and detailed case studies with practical solutions using various state-of-the-art machine learning and IoT sensor data and all these aspects will benefit the stakeholders. The book is useful for academics, researchers, upper-undergraduate, master and Ph.D. students, engineers and practitioners in sensor/IoT and AI/ML technologies, methods, applications, and related areas, and it also offers valuable insights by suggesting future research directions and providing recommendations within the fields of AI and IoT. This book uncovers and presents various real-life applications in the areas of transportation, smart cities, manufacturing, agriculture, disaster management, finance, health care and in other areas by using cutting-edge advanced Machine Learning (ML) techniques such as Deep Learning and Explainable AI (XAI) models using IoT sensor data. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. Big Data Analytics in Agriculture: Algorithms and Applications focuses on quantitative and qualitative assessment using state-of-the-art technology to provide practical improvements to agricultural production. The book provides a complete mappingfrom data generation to storage to curation, processing and implementation/applicationto produce high-quality reliable information for decision-making. It follows a logical pathway to demonstrate how data contributes to a converging flow of information towards a decision support system and how it can be transformed into actionable steps.The book develops ideas surrounding a strong integration of ICT and IoT to manage rural assets to deliver improved economic and environmental performance in a spatially and temporarily variable environment. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condition: Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.

Condition: New.

Gebunden. Condition: New.

Kartoniert / Broschiert. Condition: New.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book aims at young generations of geoscientists, researches, and other professional specialists. The book is composed of a number of chapters addressing gold deposits in terms of their types, genesis, settings, and spatiotemporal distribution. Chapter 1 examines the tectonics and regional geology of the Egyptian Nubian Shield within the frame of the Arabian-Nubian Shield and the East African Orogen. Chapter 2 highlights gold deposit types and settings. Chapter 3 addresses the African Gold that is connecting north and south. Chapters 4 and 5 are dealing with ancient gold mining in Egypt and geographical analysis of the ancient Egyptian Turin Papyrus Map (1150 B.C). Chapter 6 reviews gold mineralization in the Egyptian segment of the northern continuation of the East African Orogen. Gold in volcanogenic massive sulfide deposits and orogenic gold deposits are presented in Chapters 7 and 8. The geologic setting and genesis of gold mineralization at the extreme SW- and S-Egyptian Eastern Desert are treated in Chapters 9 and 10. Chapters 11, 12, 16, and 17 demonstrate how to detect gold-bearing alteration zones in Egypt using remote sensing techniques, as well as how to recognize and map gold-bearing zones. Multi-stage hydrothermal processes at gold deposits, placer gold deposits, and gold deposits in Nasser High Dam Reservoir are given in Chapters 13, 14, and 15. Chapter 18 discusses the application of artificial intelligence in gold exploration. The Sukari Gold Deposit is dealt with in Chapter 19. Chapters 20 and 21 examine geochemical exploration and mineralogical characteristics of gold deposits and some gold mine tailings and their potential hazards. Chapter 22 is exploring the dream of wealth in the Egyptian Eastern Desert. The last chapters explore the role of microorganisms in the rehabilitation of ancient gold mines, Egyptian gold ore processing and extraction, andopportunities and challenges for gold investment in Egypt.