標題: Titlebook: AI Innovation for Water Policy and Sustainability; Manish Kumar Goyal,Sachidanand Kumar,Akhilesh Gupt Book 2024 The Editor(s) (if applicab [打印本頁] 作者: 監(jiān)督 時間: 2025-3-21 17:01
書目名稱AI Innovation for Water Policy and Sustainability影響因子(影響力)
書目名稱AI Innovation for Water Policy and Sustainability影響因子(影響力)學科排名
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書目名稱AI Innovation for Water Policy and Sustainability網(wǎng)絡公開度學科排名
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書目名稱AI Innovation for Water Policy and Sustainability讀者反饋
書目名稱AI Innovation for Water Policy and Sustainability讀者反饋學科排名
作者: 利用 時間: 2025-3-21 21:12 作者: 填滿 時間: 2025-3-22 02:01
Maschinelles Lernen und Data Mining,ts potential to significantly enhance the accessibility and quality of clean water. The abstract concludes by highlighting the crucial role of AI in advancing water treatment methodologies, setting the stage for an in-depth examination.作者: antidote 時間: 2025-3-22 08:19
Logikprogrammierung mit PROLOG,esilience, and facilitate dynamic policy strategies. Policymakers, researchers, and practitioners engaging with this chapter gain valuable insights into the practical implementation of AI, offering a roadmap for leveraging its capabilities to navigate and address the complex challenges inherent in water policy formulation and implementation.作者: left-ventricle 時間: 2025-3-22 11:01 作者: 嚴峻考驗 時間: 2025-3-22 15:01
AI for Water Treatment,ts potential to significantly enhance the accessibility and quality of clean water. The abstract concludes by highlighting the crucial role of AI in advancing water treatment methodologies, setting the stage for an in-depth examination.作者: 不連貫 時間: 2025-3-22 19:48 作者: hypertension 時間: 2025-3-22 23:19 作者: 易受騙 時間: 2025-3-23 02:04
Grundkurs Künstliche Intelligenz in monitoring, managing, and conserving water resources. By examining case studies and highlighting innovative approaches, this exploration contributes to the ongoing discourse on leveraging AI to address critical challenges in water conservation, paving the way for more intelligent and sustainable water management practices.作者: 認為 時間: 2025-3-23 09:35
,Suchen, Spielen und Probleme l?sen,ckle emerging water-related issues. By examining the potential uses and impacts of this AI-centric framework, the chapter enriches discussions on constructing robust and eco-friendly water systems for the future.作者: Migratory 時間: 2025-3-23 11:16
AI for Water Conservation, in monitoring, managing, and conserving water resources. By examining case studies and highlighting innovative approaches, this exploration contributes to the ongoing discourse on leveraging AI to address critical challenges in water conservation, paving the way for more intelligent and sustainable water management practices.作者: 彩色 時間: 2025-3-23 17:04 作者: 親愛 時間: 2025-3-23 20:38 作者: bleach 時間: 2025-3-24 00:54
978-3-031-72013-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 催眠藥 時間: 2025-3-24 02:43 作者: 手榴彈 時間: 2025-3-24 10:26
SpringerBriefs in Water Science and Technologyhttp://image.papertrans.cn/b/image/167081.jpg作者: 無辜 時間: 2025-3-24 11:27
Grundkurs Kosten- und Leistungsrechnung global challenges in water resources, grasping the fundamentals of AI becomes vital for tackling complex issues. The chapter offers an overview of basic AI concepts, methodologies, and their relevance in the realm of water management. By examining essential components and considerations, this chapt作者: annexation 時間: 2025-3-24 17:45
Grundkurs Künstliche Intelligenztainable resource management, AI emerges as a promising technology for optimizing water usage. The abstract provides insights into various AI-driven methodologies employed in water conservation efforts, ranging from smart water metering to predictive analytics. It explores how AI enhances efficiency作者: outset 時間: 2025-3-24 19:01 作者: 值得贊賞 時間: 2025-3-25 03:13
Logikprogrammierung mit PROLOG,des a comprehensive overview of how AI technologies contribute to shaping and optimizing policies for effective water management, conservation, and sustainability. Key areas of focus include data-driven decision-making, predictive modeling, and adaptive governance, illustrating how AI enhances the p作者: nullify 時間: 2025-3-25 06:06 作者: Agility 時間: 2025-3-25 07:32
AI Innovation for Water Policy and Sustainability978-3-031-72014-7Series ISSN 2194-7244 Series E-ISSN 2194-7252 作者: 搜尋 時間: 2025-3-25 15:25
Basics of AI for Water Management, global challenges in water resources, grasping the fundamentals of AI becomes vital for tackling complex issues. The chapter offers an overview of basic AI concepts, methodologies, and their relevance in the realm of water management. By examining essential components and considerations, this chapt作者: 不發(fā)音 時間: 2025-3-25 17:45
AI for Water Conservation,tainable resource management, AI emerges as a promising technology for optimizing water usage. The abstract provides insights into various AI-driven methodologies employed in water conservation efforts, ranging from smart water metering to predictive analytics. It explores how AI enhances efficiency作者: Instantaneous 時間: 2025-3-25 23:38
AI for Water Treatment,rocesses. The abstract provides a concise overview of AI‘s pivotal role, exploring how AI algorithms and data analytics enhance the efficiency and precision of water treatment. Real-world applications and case studies are presented, illustrating instances where AI has revolutionized traditional meth作者: 盡責 時間: 2025-3-26 01:07 作者: 愛了嗎 時間: 2025-3-26 05:47 作者: aneurysm 時間: 2025-3-26 10:53 作者: GEST 時間: 2025-3-26 13:19 作者: armistice 時間: 2025-3-26 17:49 作者: PLIC 時間: 2025-3-27 00:42 作者: 說不出 時間: 2025-3-27 02:55 作者: Leisureliness 時間: 2025-3-27 06:38 作者: 提名 時間: 2025-3-27 12:30
At1 Angiotensin Receptor Blockade and Angiotensin Converting Enzyme Inhibition: Effects on Vascular pril. Small arteries from the coronary, renal, mesenteric, and femoral circulations exhibited a dose-dependent blunting of remodeling under losartan treatment, accompanied by abolition of the impairment of endothelium-dependent relaxation, as was also found in rats treated with enalapril. Treatment 作者: Instinctive 時間: 2025-3-27 13:54 作者: 征稅 時間: 2025-3-27 21:43
https://doi.org/10.1007/b106003Audio; detection; information; modeling; multimedia; video
