Biswajeet Pradhan (286 results)

Condition: New.

Condition: New.

Condition: New.

Hardcover. Condition: New. ISBN:9789351248699.

Condition: New. In English.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New.

Hardcover. Condition: New. 1st Edition. Contents: Preface. Introduction. I. Climate Change: 1. Changing weather and air quality patterns in Central European and Mediterranean Region/Laszlo Bozo. 2. Global warming and climate change due to poor solid waste management: a growing concern in Indian metropolitans/B C Prabhakar and K N Radhika. 3. The impact of climate change on natural disaster in Iran/M Faravani, R Aghnoum, AA Moayedi and M Ehsan Elahi. 4. Challenges in the implementation of climate change policy of Nepal/J R Pokharel. 5. Mitigating the effects of adverse climatic conditions in Zambia/S Mpanga, M Kaoma, K Zimba and A Zulu. II. Natural Disasters: 6. Natural disasters and climate change in Nigeria: issues and mitigation strategies/Agoro O. 7. Case study of flash flood Assessment of 14th Nov 2014 in Colombo due to short period high intense rainfall/A R Warnasooriya, ACM Rodrigo and KHMS Premalal. 8. Children's experiences of participation in disaster risk reduction: perspectives from parents and stakeholders in Muzarabani/C Muzenda-Mudavanhu. III. Disaster Management: Practices and Policies: 9. Disaster management practices in Cambodia/V Ung and L Heng An. 10. A synopsis of disaster management in South Africa: An intergovernmental approach to disaster prevention, mitigation and response/D E Mthembu. 11. Possible early warning for landslide in Sri Lanka using 'Antecedent Daily Rainfall Index': a case study of Meeriyabedda landslide on 29th Oct 2014/W N S Rupasinghe and KHMS Premalal. 12. Disaster mitigation policies and practices in South Asia with focus on social capital/J K Routray and S Sanyal. 13. Existing National Policies on Natural Disaster Management and Implementation: A case of landslides and mudslides in Uganda/K Mugerwa. IV. Technology for Disaster Risk Reduction: 14. Identification of Indonesian technology readiness in disaster risk reduction/Adawiah, Ophirtus Sumule and Irsan Pawennei. 15. Confiability analysis of the automatic weather stations network of Sri Lanka/N Kumarasinghe. V. Education and Research: 16. Academic hubs: using applied research and community services to build resilience of Nations and Communities to Seismic disasters/ Jalal Al-Dabbeek, Hatim Alwahsh etc. 17. A designing experience of a national research agenda on disaster risk reduction/A Linayo. Index. Climate Change' is a matter of great concern at the global level since it is leading to causing weather-related disasters and in making communities more vulnerable to the effects of disasters. There is need for disaster mitigation measures to reduce or if possible, totally eliminate the impacts and risks of hazards through proactive measures taken before an emergency or disaster occurs. For alleviating the risk of disaster due to severe climate events, there has been a growing need for a concrete platform to educate and train the individuals and entities in the developing world and network with them to act beyond the disaster management policies. Keeping this in view, the NAM S and T Centre in partnership with the National Science and Technology Commission (NASTEC) of Sri Lanka organised an international workshop on 'Mitigation of Disasters due to Severe Climate Events: From Policy to Practice' in Colombo, Sri Lanka during 10-13 March 2016. The workshop was attended by 64 senior professionals from 19 countries - Cambodia, Egypt, Hungary, India, Indonesia, Iran, Malaysia, Mauritius, Myanmar, Nepal, Nigeria, Pakistan, Palestine, Thailand, Uganda, Venezuela, Zambia and Zimbabwe, and the host country Sri Lanka for sharing views and experiences for the development of a road map for reducing the risks in real situations.…

Condition: New. In English.

Condition: New. In English.

Condition: As New. Unread book in perfect condition.

Hardback. Condition: New.

Condition: New. In English.

Condition: Hervorragend. Zustand: Hervorragend | Seiten: 512 | Sprache: Englisch | Produktart: Bücher | This book discusses the impact of climate change, land use and land cover, and socio-economic dynamics on landslides in Asian countries. Scholars recently have brought about a shift in their focus regarding triggering factors for landslides, from rainfall or earthquake to claiming rapid urbanization, extreme population pressure, improper land use planning, illegal hill cutting for settlements and indiscriminate deforestation. This suggests that the occurrence or probabilities of landslides are shaped by both climate-related and non-climate-related anthropogenic factors. Among these issues, land use and land cover change or improper land use planning is one of the key factors. Further climate change shapes the rainfall pattern and intensity in different parts of the world, and consequently rainfall-triggered landslides have increased. These changes cause socio-economic changes. Conversely, socio-economic and lifestyle changes enhance inappropriate land use and climate change. All these changes in land use, climate and socio-economic aspects are dynamics in nature and shape landslide risks in Asian countries, where they are given serious attention by governments, disaster management professionals, researchers and academicians.This book comprises 21 chapters divided into three major sections highlighting the effect of climate change on landslide incidence with the influence on vegetation and socio-economic aspects. The sections address how climate change and extreme events have triggered landslides. The advances in geospatial techniques with the focus on land use and land cover change along with the effect on socio-economic aspects are also explored.…

Condition: New. pp. 288.

Condition: New. pp. 220.

Condition: New.

Condition: New.

Hardcover. Condition: new. Hardcover. This book aims to promote the core understanding of a proper modelling of road traffic accidents by deep learning methods using traffic information and road geometry delineated from laser scanning data. The first two chapters of the book introduce the reader to laser scanning technology with creative explanation and graphical illustrations, review and recent methods of extracting geometric road parameters. The next three chapters present different machine learning and statistical techniques applied to extract road geometry information from laser scanning data. Chapters 6 and 7 present methods for modelling roadside features and automatic road geometry identification in vector data. After that, this book goes on reviewing methods used for road traffic accident modelling including accident frequency and injury severity of the traffic accident (Chapter 8). Then, the next chapter explores the details of neural networks and their performance in predicting the traffic accidents along with a comparison with common data mining models. Chapter 10 presents a novel hybrid model combining extreme gradient boosting and deep neural networks for predicting injury severity of road traffic accidents. This chapter is followed by deep learning applications in modelling accident data using feed-forward, convolutional, recurrent neural network models (Chapter 11). The final chapter (Chapter 12) presents a procedure for modelling traffic accident with little data based on the concept of transfer learning. This book aims to help graduate students, professionals, decision makers, and road planners in developing better traffic accident prediction models using advanced neural networks. This book aims to promote the core understanding of a proper modelling of road traffic accidents by deep learning methods using traffic information and road geometry delineated from laser scanning data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Taschenbuch. Condition: Neu. Geoinformation techniques in disaster management | Advances in geoinformation based methods and modeling approaches for geohazards management | Biswajeet Pradhan | Taschenbuch | 288 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846590539 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

Taschenbuch. Condition: Neu. 3D terrain data compression using wavelets | Gis based 3D spatial data compression using lifting scheme based second generation wavelets | Biswajeet Pradhan | Taschenbuch | 220 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846528280 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

Condition: New. In English.

Condition: New. In English.

Condition: As New. Unread book in perfect condition.

Condition: New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Terrestrial mass movements (i.e. cliff collapses, soil creeps, mudflows, landslides etc.) are severe forms of natural disasters mostly occurring in mountainous terrain, which is subjected to specific geological, geomorphological and climatological conditions, as well as to human activities. It is a challenging task to accurately define the position, type and activity of mass movements for the purpose of creating inventory records and potential vulnerability maps. Remote sensing techniques, in combination with Geographic Information System tools, allow state-of-the-art investigation of the degree of potential mass movements and modeling surface processes for hazard and risk mapping. Similarly, through statistical prediction models, future mass-movement-prone areas can be identified and damages can to a certain extent be minimized. Issues of scale and selection of morphological attributes for the scientific analysis of mass movements call for new developments in data modeling and spatio-temporal GIS analysis. The book is a product of a cooperation between the editors and several contributing authors, addressing current issues and recent developments in GI technology and mass movements research. Its fundamental treatment of this technology includes data modeling, topography, geology, geomorphology, remote sensing, artificial neural networks, binomial regression, fuzzy logic, spatial statistics and analysis, and scientific visualization. Both theoretical and practical issues are addressed. …

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Terrestrial mass movements (i.e. cliff collapses, soil creeps, mudflows, landslides etc.) are severe forms of natural disasters mostly occurring in mountainous terrain, which is subjected to specific geological, geomorphological and climatological conditions, as well as to human activities. It is a challenging task to accurately define the position, type and activity of mass movements for the purpose of creating inventory records and potential vulnerability maps. Remote sensing techniques, in combination with Geographic Information System tools, allow state-of-the-art investigation of the degree of potential mass movements and modeling surface processes for hazard and risk mapping. Similarly, through statistical prediction models, future mass-movement-prone areas can be identified and damages can to a certain extent be minimized. Issues of scale and selection of morphological attributes for the scientific analysis of mass movements call for new developments in data modeling and spatio-temporal GIS analysis. The book is a product of a cooperation between the editors and several contributing authors, addressing current issues and recent developments in GI technology and mass movements research. Its fundamental treatment of this technology includes data modeling, topography, geology, geomorphology, remote sensing, artificial neural networks, binomial regression, fuzzy logic, spatial statistics and analysis, and scientific visualization. Both theoretical and practical issues are addressed. …

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book aims to promote the core understanding of a proper modelling of road traffic accidents by deep learning methods using traffic information and road geometry delineated from laser scanning data. The first two chapters of the book introduce the reader to laser scanning technology with creative explanation and graphical illustrations, review and recent methods of extracting geometric road parameters. The next three chapters present different machine learning and statistical techniques applied to extract road geometry information from laser scanning data. Chapters 6 and 7 present methods for modelling roadside features and automatic road geometry identification in vector data. After that, this book goes on reviewing methods used for road traffic accident modelling including accident frequency and injury severity of the traffic accident (Chapter 8). Then, the next chapter explores the details of neural networks and their performance in predicting the traffic accidents along with a comparison with common data mining models. Chapter 10 presents a novel hybrid model combining extreme gradient boosting and deep neural networks for predicting injury severity of road traffic accidents. This chapter is followed by deep learning applications in modelling accident data using feed-forward, convolutional, recurrent neural network models (Chapter 11). The final chapter (Chapter 12) presents a procedure for modelling traffic accident with little data based on the concept of transfer learning. This book aims to help graduate students, professionals, decision makers, and road planners in developing better traffic accident prediction models using advanced neural networks.…