Soft Computing Techniques in Solid Waste and Wastewater Management. Cet article n’est pas disponible.
Langue : anglais
Edité par Elsevier, 2021
- Livre broché
- Neuf

Vendeur : Ria Christie Collections, Uxbridge, Royaume-UniRia Christie Collections
Vendeur AbeBooks depuis 25 mars 2015
Etat: Neuf
EUR 233,35
A propos de cet article
In English.
N° de réf. du vendeur ria9780128244630_new
- Titre
- Soft Computing Techniques in Solid Waste and Wastewater Management
- Éditeur
- Elsevier
- Année de publication
- 2021
- État de l'article
- New
- Reliure
- Couverture souple
- Langue
- anglais
- ISBN à 10 chiffres
- 0128244631
- ISBN à 13 chiffres
- 9780128244630
- Poids de l'article
- 1 520 grammes
Soft Computing Techniques in Solid Waste and Wastewater Management is a thorough guide to computational solutions for researchers working in solid waste and wastewater management operations. This book covers in-depth analysis of process variables, their effects on overall efficiencies, and optimal conditions and procedures to improve performance using soft computing techniques. These topics coupled with the systematic analyses described will help readers understand various techniques that can be effectively used to achieve the highest performance. In-depth case studies along with discussions on applications of various soft-computing techniques help readers control waste processes and come up with short-term, mid-term and long-term strategies.
Waste management is an increasingly important field due to rapidly increasing levels of waste production around the world. Numerous potential solutions for reducing waste production are underway, including applications of machine learning and computational studies on waste management processes. This book details the diverse approaches and techniques in these fields, providing a single source of information researchers and industry practitioners. It is ideal for academics, researchers and engineers in waste management, environmental science, environmental engineering and computing, with relation to environmental science and waste management.
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À propos de l’auteur
Prof. Dr. R. Gobinath is a Professor and Head of Department of Civil Engineering, S R Engineering College, India. He is a researcher in the field of civil engineering primarily focusing on issues related to environmental engineering including sustainability and environmental geotechnology. He has published over 100 research papers, has been an editor of several books and is reviewer of several journals. He is presently editorial board member of several journals in environmental sciences.
Prof. Dr. Mohammad Hadi Dehghani is a full professor at the Tehran University of Medical Sciences (TUMS), School of Public Health, Department of Environmental Health Engineering, Tehran, Islamic Republic of Iran. His scientific research interests include environmental science. He is the author of various research studies published in national and international journals and conference proceedings and head of several research projects at the TUMS. He has authored 20 books, 26 book chapters and more than 270 full papers published in peer-reviewed journals. He is an editorial board member, guest editor, and reviewer in many internal and international journals and a member of several international science committees worldwide. He also has the distinction of being listed in the top 2% of the world's most influential scientists in the area of environmental sciences. He is a supervisor and advisor for many PhD and MSc theses at the TUMS. He is currently also a member of the Iranian Association of Environmental Health (IAEH) and member of the Institute for Environmental Research (IER) at the TUMS. He is an editor for 14 edited books (English): (1) Soft Computing Techniques in Solid Waste and Wastewater Management, (2) Environmental and Health Management of Novel Coronavirus Disease (COVID-19), (3) Green Technologies for the Defluoridation of Water, (4) Pesticide Remediation Technologies From Water and Wastewater, (5) COVID-19 and Sustainable Development Goals, (6) Industrial Wastewater Treatment: Emerging Technologies for Sustainability, (7) Sustainable Materials for Sensing and Remediation of Noxious Pollutants, (8) Wastewater-Based Epidemiology for the Assessment of Human Exposure to Environmental Pollutants, (9) Water Treatment Using Engineered Carbon Nanotubes, (10) Water, the Environment and the Sustainable Development Goals, (11) Sustainable Remediation Technologies for Emerging Pollutants in Aqueous Environment, (12) Health and Environmental Effects of Ambient Air Pollution, (13) Health Effects of Indoor Air Pollution, (14) Diseases Attributed to Air Pollution.
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