
Artificial Intelligence Systems in Environmental Engineering
CRC Press
1st Edition
Published on 4. June 2024
Book
Hardback
104 pages
978-1-032-56585-9 (ISBN)
Description
Specialists are paying attention to the growing concern for environmental issues. Artificial Intelligence Systems in Environmental Engineering uses techniques from the field of Artificial Intelligence as the alternative to address problems that are difficult to model by analytical methods. The book provides a general study and introduces a set of techniques for environmental engineering. With a particular focus on climate change and energy policy, it discusses innovative solutions and models that can positively influence and increase the efficiency of resource use and decrease the impact on the environment while developing the well-being of individuals. The book will be of most interest to research students who have a scientific approach and deal with problems related to environmental engineering.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Postgraduate and Professional
Illustrations
8 s/w Abbildungen, 46 farbige Abbildungen, 1 s/w Photographie bzw. Rasterbild, 34 Farbfotos bzw. farbige Rasterbilder, 7 s/w Zeichnungen, 12 farbige Zeichnungen, 11 s/w Tabellen
11 Tables, black and white; 12 Line drawings, color; 7 Line drawings, black and white; 34 Halftones, color; 1 Halftones, black and white; 46 Illustrations, color; 8 Illustrations, black and white
Dimensions
Height: 260 mm
Width: 183 mm
Thickness: 11 mm
Weight
425 gr
ISBN-13
978-1-032-56585-9 (9781032565859)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Jamal Mabrouki | Azrour Maroude | Azeem Irshad
Artificial Intelligence Systems in Environmental Engineering
Book
05/2026
1st Edition
CRC Press
€87.00
Shipment within 10-20 days

Jamal Mabrouki | Azrour Maroude | Azeem Irshad
Artificial Intelligence Systems in Environmental Engineering
E-Book
06/2024
1st Edition
CRC Press
€73.99
Available for download

Jamal Mabrouki | Azrour Maroude | Azeem Irshad
Artificial Intelligence Systems in Environmental Engineering
E-Book
06/2024
1st Edition
CRC Press
€73.99
Available for download
Persons
Jamal Mabrouki, PhD, Assistant Professor at Mohammed V University in Rabat, Morocco.
Azrour Mourade, PhD, Assistant Professor of Computer Science, Moulay Ismail University, Morocco.
Azeem Irshad, PhD, Assistant Professor-Computer Science, Govt. Asghar Mall College Rawalpindi, Pakistan.
Azrour Mourade, PhD, Assistant Professor of Computer Science, Moulay Ismail University, Morocco.
Azeem Irshad, PhD, Assistant Professor-Computer Science, Govt. Asghar Mall College Rawalpindi, Pakistan.
Editor
Faculty of sciences and techniques Of Errachidia, Morocco
GOVT. GRADUATE COLLEGE ASGHAR MALL RAWALPINDI, HED, PAKISTAN
Content
Chapter 1: A scanning electron microscope (SEM) observation of quartz grains from Issen Wadi, Western High Atlas, Morocco: implications for the sedimentary environment. Chapter 2: Impact of agricultural soil degradation on water and food security. Chapter 3: Effect of olive pomace compost application on the growth and yield of fava bean plant. Chapter 4: Modelling and simulation of the behavior of a photovoltaic system under different shading rates. Chapter 5: Geochemical study of the Angads groundwater (North-East Morocco): Application of the Piper and Schoeller Berkaloff diagram. Chapter 6: Remote monitoring of an inclined solar distiller. Chapter 7: Intelligent Temperature and Humidity Control System: Leveraging AI for Precise Climate Management. Chapter 8: Interaction between microalgae culture system and its effects on nutrient removal from wastewater. Chapter 9: Study of Stability and Evolution of Milk Composition, Fat Globule Size and Acids in Raw Cow's Milk under Natural Conditions. Chapter 10: Characterization of climatic variables inside a smart mixed solar dryer