소장자료
| LDR | 04391cam a22000007a | ||
| 001 | 0100791783▲ | ||
| 003 | OCoLC▲ | ||
| 005 | 20240110132316▲ | ||
| 006 | m o d ▲ | ||
| 007 | cr cnu---unuuu▲ | ||
| 008 | 230901s2023 pau fo eng c▲ | ||
| 020 | ▼a9781668467930▼qelectronic book▲ | ||
| 020 | ▼a1668467933▼qelectronic book▲ | ||
| 020 | ▼a9781668467947▼q(electronic bk.)▲ | ||
| 020 | ▼a1668467941▼q(electronic bk.)▲ | ||
| 020 | ▼z9781668467916▼qprint▲ | ||
| 020 | ▼z1668467917▼qhardcover▲ | ||
| 024 | 7 | ▼a10.4018/978-1-6684-6791-6▼2doi▲ | |
| 035 | ▼a3669454▼b(N$T)▲ | ||
| 035 | ▼a(OCoLC)1396170118▲ | ||
| 040 | ▼aIGIGL▼beng▼erda▼cIGIGL▼dYDX▼dOCLCO▼dOCLCQ▼dN$T▼d221016▲ | ||
| 049 | ▼aMAIN▲ | ||
| 050 | 4 | ▼aTD430▼b.A785 2023▲ | |
| 082 | 0 | 4 | ▼a628.162▼223▲ |
| 245 | 0 | 0 | ▼aArtificial intelligence applications in water treatment and water resource management▼h[electronic resource] /▼cVictor Shikuku, editor.▲ |
| 260 | ▼aHershey, PA :▼bEngineering Science Reference (an imprint of IGI Global),▼c[2023]▲ | ||
| 300 | ▼a1 online resource (xix, 270 pages).▲ | ||
| 336 | ▼atext▼btxt▼2rdacontent▲ | ||
| 337 | ▼acomputer▼bc▼2rdamedia▲ | ||
| 338 | ▼aonline resource▼bcr▼2rdacarrier▲ | ||
| 490 | 1 | ▼aAdvances in environmental engineering and green technologies (AEEGT) book series▲ | |
| 504 | ▼aIncludes bibliographical references and index.▲ | ||
| 505 | 0 | ▼aForeword -- Preface -- Chapter 1. Machine Learning Applications in Adsorption of Water Pollutants -- Chapter 2. Artificial Intelligence in Wastewater Management -- Chapter 3. Integrating Machine Learning and AI for Improved Hydrological Modeling and Water Resource Management -- Chapter 4. Artificial Intelligence in Water Treatments and Water Resource Assessments -- Chapter 5. The Use and Awareness of ICT to Facilitate the Adoption of Artificial Intelligence in Agriculture -- Chapter 6. Artificial Intelligence, Internet of Things, and Machine-Learning: To Smart Irrigation and Precision Agriculture -- Chapter 7. A Study on Machine Learning-Based Water Quality Assessment and Wastewater Treatment -- Chapter 8. Explaining the Importance of Water Quality Parameters for Prediction of the Quality of Water Using SHAP Value -- Chapter 9. Classification of Quality of Water Using Machine Learning -- Compilation of References -- Related References -- About the Contributors -- Index.▲ | |
| 520 | 3 | ▼a"The emergence of a plethora of water contaminants as a result of industrialization has introduced complexity to water treatment processes. Such complexity may not be easily resolved using deterministic approaches. Artificial intelligence (AI) has found relevance and applications in almost all sectors and academic disciplines, including water treatment and management. AI provides dependable solutions in the areas of optimization, suspect screening or forensics, classification, regression, and forecasting, all of which are relevant for water research and management.Artificial Intelligence Applications in Water Treatment and Water Resource Management explores the different AI techniques and their applications in wastewater treatment and water management. The book also considers the benefits, challenges, and opportunities for future research. Covering key topics such as water wastage, irrigation, and energy consumption, this premier reference source is ideal for computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students."--Provided by publisher.▲ | |
| 588 | ▼aDescription based on online resource; title from digital title page (viewed on September 15, 2023).▲ | ||
| 590 | ▼aAdded to collection customer.56279.3▲ | ||
| 650 | 0 | ▼aWater▼xPurification.▲ | |
| 650 | 0 | ▼aArtificial intelligence▼xIndustrial applications.▲ | |
| 650 | 0 | ▼aWater▼xPurification▼xTechnological innovations.▲ | |
| 650 | 6 | ▼aEau▼xE�puration.▲ | |
| 650 | 6 | ▼aIntelligence artificielle▼xApplications industrielles.▲ | |
| 650 | 6 | ▼aEau▼xE�puration▼xInnovations.▲ | |
| 700 | 1 | ▼aShikuku, Victor,▼d1986-▼eeditor.▲ | |
| 710 | 2 | ▼aIGI Global,▼epublisher.▲ | |
| 776 | 0 | 8 | ▼iPrint version:▼z1668467917▼z9781668467916▲ |
| 830 | 0 | ▼aAdvances in environmental engineering and green technologies (AEEGT) book series.▲ | |
| 856 | 4 | 0 | ▼uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3669454▲ |
Artificial intelligence applications in water treatment and water resource management[electronic resource]
자료유형
국외eBook
서명/책임사항
Artificial intelligence applications in water treatment and water resource management [electronic resource] / Victor Shikuku, editor.
단체저자
발행사항
Hershey, PA : Engineering Science Reference (an imprint of IGI Global) , [2023]
형태사항
1 online resource (xix, 270 pages).
총서사항
서지주기
Includes bibliographical references and index.
내용주기
Foreword -- Preface -- Chapter 1. Machine Learning Applications in Adsorption of Water Pollutants -- Chapter 2. Artificial Intelligence in Wastewater Management -- Chapter 3. Integrating Machine Learning and AI for Improved Hydrological Modeling and Water Resource Management -- Chapter 4. Artificial Intelligence in Water Treatments and Water Resource Assessments -- Chapter 5. The Use and Awareness of ICT to Facilitate the Adoption of Artificial Intelligence in Agriculture -- Chapter 6. Artificial Intelligence, Internet of Things, and Machine-Learning: To Smart Irrigation and Precision Agriculture -- Chapter 7. A Study on Machine Learning-Based Water Quality Assessment and Wastewater Treatment -- Chapter 8. Explaining the Importance of Water Quality Parameters for Prediction of the Quality of Water Using SHAP Value -- Chapter 9. Classification of Quality of Water Using Machine Learning -- Compilation of References -- Related References -- About the Contributors -- Index.
요약주기
"The emergence of a plethora of water contaminants as a result of industrialization has introduced complexity to water treatment processes. Such complexity may not be easily resolved using deterministic approaches. Artificial intelligence (AI) has found relevance and applications in almost all sectors and academic disciplines, including water treatment and management. AI provides dependable solutions in the areas of optimization, suspect screening or forensics, classification, regression, and forecasting, all of which are relevant for water research and management.Artificial Intelligence Applications in Water Treatment and Water Resource Management explores the different AI techniques and their applications in wastewater treatment and water management. The book also considers the benefits, challenges, and opportunities for future research. Covering key topics such as water wastage, irrigation, and energy consumption, this premier reference source is ideal for computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students."--Provided by publisher.
주제
ISBN
9781668467930 1668467933 9781668467947 1668467941
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