標題: Titlebook: Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research; For Sustainable Deve Gaurav Tripathi,Achala Shakya,Pravee [打印本頁] 作者: Stenosis 時間: 2025-3-21 17:32
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書目名稱Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research影響因子(影響力)學科排名
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書目名稱Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research被引頻次
書目名稱Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research被引頻次學科排名
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書目名稱Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research讀者反饋
書目名稱Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research讀者反饋學科排名
作者: sorbitol 時間: 2025-3-21 20:23
Experimental Analysis of Precipitation Forecasting Using Machine Learning and Distributed Machine Lee of 1.0*1.0. We have evaluated and compared the machine learning algorithms and distributed machine learning algorithms using Dask-ML. The Dask-ML enables distributed machine learning with data parallelism by efficiently processing extensive datasets across a cluster of machines, scaling workflows作者: 沒有貧窮 時間: 2025-3-22 02:22
Artificial Intelligence and Machine Learning-Based Building Solutions: Pathways to Ensure Occupant on algorithms and AI-based controls. Finally, the concept of DT and its implementation in the building industry for energy conservation and occupant comfort management are examined in depth. DT is identified as a potential operating system for vast and complex buildings if implementation and standar作者: FUME 時間: 2025-3-22 05:13
Deep Learning Models for Fine-Scale Climate Change Prediction: Enhancing Spatial and Temporal Resolent of deep learning models for predicting climate change. The chapter delves into various preprocessing techniques, such as data normalization, feature engineering, and dimensionality reduction, that aid in optimizing model performance. Additionally, the chapter explores downscaling methods that ut作者: enhance 時間: 2025-3-22 11:10 作者: Harpoon 時間: 2025-3-22 13:20
Geoinformatics-Based Land Degradation Susceptibility Analysis and Sustainability of Palghar Sea Coast vulnerable, moderate, and less vulnerable. Mapping of coastal hazards is essential which includes understanding the flooding and erosion of the coastal zones, in order to protect the people and their property. A coastal regulation zone lines are marked at various levels as low tide line, high tid作者: ablate 時間: 2025-3-22 17:25
Climate Change and Maritime Security in the Indo-Pacific Region: A Strategic Approach,ssociated with the concept of maritime security: semiotics, securitization, and security practice theory. Semiotics reflects the different meanings by exploring the relationship between maritime security and other concepts, while securitization provides a means of understanding how maritime security作者: PRO 時間: 2025-3-23 00:08
Climate Change and Renewable Energy,gy and geothermal energy. There is a great need to develop sustainable economic technology to harness this renewable energy. Tidal energy has great potential to generate electricity, but it may affect the ocean ecosystem. Therefore, there is a great need to develop sustainable technology to harness 作者: gerrymander 時間: 2025-3-23 04:18 作者: trigger 時間: 2025-3-23 05:50 作者: Anguish 時間: 2025-3-23 11:48 作者: IOTA 時間: 2025-3-23 16:43 作者: 名詞 時間: 2025-3-23 19:19 作者: FILTH 時間: 2025-3-23 23:00
Approach of Hydrogeomorphological Mapping for Groundwater Resource Management in Mirzapur District,ture of landforms that may support to access the land capability, agricultural land quality, and groundwater prospects for increasing irrigational facilities. The main focus of the present study is to utilize the knowledge of hydrogeomorphological features for the targeting of groundwater resource f作者: 我沒有強迫 時間: 2025-3-24 02:43 作者: antiandrogen 時間: 2025-3-24 10:02
Impact of Sarangkheda Dam Construction on the Downstream Reach of Tapi River of Nandurbar District,profile. From 17.48 cubic meters in billion in 2006 to 3.28 cubic meters in billion in 2014, the yearly flow volume dropped. Following the construction of the Sarangkheda Dam, the yearly flow volume from pre-dam to post-dam averaged 5.93 cubic meters in billion across the downstream, and from 1985 t作者: 關心 時間: 2025-3-24 11:53 作者: certain 時間: 2025-3-24 16:50
Book 2024nvironmental data. This book is an essential resource for researchers, policymakers, and practitioners interested in leveraging these technologies to tackle the pressing challenge of climate change and achieve the SDGs..作者: Musket 時間: 2025-3-24 21:02 作者: Seminar 時間: 2025-3-25 02:27 作者: MILK 時間: 2025-3-25 05:27 作者: Palatial 時間: 2025-3-25 09:37
Introduction to Linear and Matrix Algebraits major upstream tributaries Kharkai. The results of the Spearman correlation coefficient were found significant for annual, monsoon, and post-monsoon seasons between streamflow of basin outlet gauging stations (Ghatsila) and basin rainfall, which reflect Subarnarekha is a unique seasonal river wi作者: insurrection 時間: 2025-3-25 12:24 作者: Discrete 時間: 2025-3-25 16:07
https://doi.org/10.1007/978-3-031-02132-9ssociated with the concept of maritime security: semiotics, securitization, and security practice theory. Semiotics reflects the different meanings by exploring the relationship between maritime security and other concepts, while securitization provides a means of understanding how maritime security作者: 變異 時間: 2025-3-25 21:54
https://doi.org/10.1007/978-3-031-02132-9gy and geothermal energy. There is a great need to develop sustainable economic technology to harness this renewable energy. Tidal energy has great potential to generate electricity, but it may affect the ocean ecosystem. Therefore, there is a great need to develop sustainable technology to harness 作者: 牢騷 時間: 2025-3-26 00:58
https://doi.org/10.1007/978-3-030-61807-0ranking second in SDG India Index Reports consecutively for the last two terms. Being a hilly region, it inspires me to understand the importance of SDGs in achieving sustainable development. The present study aims to examine the impact of SDGs on the Indian Himalayan region. In addition, it will no作者: 角斗士 時間: 2025-3-26 05:22
Ultrametrics and Surface Singularities,o provide clean power on a huge scale. Hydroelectric and geothermal power facilities create electricity from natural resources without emitting hazardous emissions. In this chapter, we also discuss the obstacles and opportunities of renewable energy integration, as well as successful case studies an作者: GOAD 時間: 2025-3-26 10:21 作者: initiate 時間: 2025-3-26 15:53 作者: Pruritus 時間: 2025-3-26 20:45 作者: DAMN 時間: 2025-3-26 22:41 作者: Polydipsia 時間: 2025-3-27 02:54
https://doi.org/10.1007/978-3-031-01798-8USLE (rainfall erosivity, soil erodibility, slope length, slope steepness, land cover management, and conservation strategies). High-resolution satellite data of 5?m and DEM of 12.5?m were used to generate LULC and slope layer. Using GIS-based overlay analysis, all thematic layers have been analyzed作者: cultivated 時間: 2025-3-27 09:11
Synthesis Lectures on Computer Scienceprofile. From 17.48 cubic meters in billion in 2006 to 3.28 cubic meters in billion in 2014, the yearly flow volume dropped. Following the construction of the Sarangkheda Dam, the yearly flow volume from pre-dam to post-dam averaged 5.93 cubic meters in billion across the downstream, and from 1985 t作者: 引導 時間: 2025-3-27 13:01
Introduction to Linear Elasticityspecies. The prediction methods play a vital role in accurate precipitation forecasts. This chapter aims to evaluate the accuracy of rainfall prediction in India through machine learning (ML) techniques like K-Nearest Neighbors (KNN), Decision Tree (DT), Random Forest (RF), and Ada-Boost (AB). The h作者: 完成 時間: 2025-3-27 14:55
Introduction to Linear Elasticityimplications for statistical tests and the generation of long-term data. Relying solely on assumptions proves inadequate for accurate analysis; thus, this study underscores the importance of collecting data through long-duration observations, harnessing the power of big data analytics. The spatial d作者: 野蠻 時間: 2025-3-27 18:15
Introduction and Mathematical Preliminaries,esult, governments are under pressure to create trustworthy and precise maps of flood risk regions and to further plan for sustainable flood risk management based on prevention, protection, and preparedness. Artificial Intelligence (AI) and Machine Learning (ML) have emerged as powerful tools in add作者: gerontocracy 時間: 2025-3-27 23:39 作者: 誘拐 時間: 2025-3-28 04:24
Extension, Bending and Torsion,n-depth overview of deep learning models specifically designed for fine-scale climate change prediction, with a primary focus on improving spatial and temporal resolution. The notion of deep learning and its applicability to studies on climate change are introduced at the beginning of the chapter. I作者: Jacket 時間: 2025-3-28 09:17 作者: 糾纏,纏繞 時間: 2025-3-28 12:15
https://doi.org/10.1007/978-3-030-52811-9ility based on various derived thematic maps like administrative boundaries with talukas, topography of the area, contour map, soil classification, geomorphology, and drainage pattern using the geoinformatics tools. In the present work, an attempt has been made to determine the spatial assessment of作者: nutrition 時間: 2025-3-28 16:23
https://doi.org/10.1007/978-3-031-02132-9, and wind behavior. This alteration may involve differences in the frequency or intensity of these elements. Throughout the course of human history, the Earth’s climate has undergone periodic fluctuations that span significant durations. There is a consensus within the scientific community that the作者: Palter 時間: 2025-3-28 19:56
https://doi.org/10.1007/978-3-031-02132-9uced by conventional sources, which release greenhouse gases resulting in global warming and leading to climate change. Climate change is one of the major concerns all over the world. It adversely affects aquatic ecosystems along with flora fauna and human beings. Economic development and energy dem作者: 蹣跚 時間: 2025-3-28 23:54
https://doi.org/10.1007/978-3-030-61807-0of sustainable infrastructure is a necessity. In the Himalayan regions, nature performs a crucial role which cannot be overlooked considering the potentially grave implications. The Indian Himalayan region comprises eleven states and two union territories. Though the government provides this region‘作者: 愉快么 時間: 2025-3-29 05:00
Ultrametrics and Surface Singularities,tical for preventing climate change by lowering greenhouse gas emissions and promoting sustainable development. This study paper presents an in-depth examination of the connection between climate change and renewable energy. It investigates the effects of climate change, investigates the possibiliti作者: 煤渣 時間: 2025-3-29 08:05 作者: 代理人 時間: 2025-3-29 13:35 作者: 品牌 時間: 2025-3-29 18:07 作者: 串通 時間: 2025-3-29 21:48 作者: Arable 時間: 2025-3-30 00:14 作者: SEED 時間: 2025-3-30 07:08
Synthesis Lectures on Computer Scienceto the Sarangkheda Gauging Station, close to Sarangkheda Village in the Nandurbar District of Maharashtra, the study extent is 8.5?km long. This study describes changes in water discharges, sediment loads, mean channel-bed elevation, bed degradation, and channel width downstream from the Sarangkheda作者: interpose 時間: 2025-3-30 12:02
Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research978-981-97-1685-2Series ISSN 2198-3542 Series E-ISSN 2198-3550 作者: Conserve 時間: 2025-3-30 14:42
Gaurav Tripathi,Achala Shakya,Praveen Kumar RaiHighlights practical applications of big data, AI, and data analytics in climate change research.Offers a futuristic perspective on the potential of big data, AI, and data analytics.Takes an interdisc作者: 無關緊要 時間: 2025-3-30 20:33 作者: ENDOW 時間: 2025-3-30 23:48
https://doi.org/10.1007/978-981-97-1685-2Climate Change; Sustainability; Global Challenges; Data Analysis; Information Technology; Risk Assessment作者: Lasting 時間: 2025-3-31 04:05
978-981-97-1687-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: Flavouring 時間: 2025-3-31 05:47
Book 2024Development Goals (SDGs). Furthermore, the book covers a wide range of related topics, including climate change data sources, big data analytics techniques, remote sensing, renewable energy, open data, public–private partnerships, ethical and legal issues, and case studies of successful applications作者: 品嘗你的人 時間: 2025-3-31 09:28 作者: fidelity 時間: 2025-3-31 17:18 作者: 蔓藤圖飾 時間: 2025-3-31 18:33
2198-3542 ntial of big data, AI, and data analytics.Takes an interdisc.This book explores the potential of big data, artificial intelligence (AI), and data analytics to address climate change and achieve the Sustainable Development Goals (SDGs). Furthermore, the book covers a wide range of related topics, inc
