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Intelligent Environmental Data Monitoring for Pollution Management: Intelligent Data-Centric Systems

Editat de Siddhartha Bhattacharyya, Naba Kumar Mondal, Jan Platos, Vaclav Snasel, Pavel Kromer
en Limba Engleză Paperback – 22 oct 2020
Intelligent Environmental Data Monitoring for Pollution Management discusses evolving novel intelligent algorithms and their applications in the area of environmental data-centric systems guided by batch process-oriented data. Thus, the book ushers in a new era as far as environmental pollution management is concerned. It reviews the fundamental concepts of gathering, processing and analyzing data from batch processes, followed by a review of intelligent tools and techniques which can be used in this direction. In addition, it discusses novel intelligent algorithms for effective environmental pollution data management that are on par with standards laid down by the World Health Organization.


  • Introduces novel intelligent techniques needed to address environmental pollution for the well-being of the global environment
  • Offers perspectives on the design, development and commissioning of intelligent applications
  • Provides reviews on the latest intelligent technologies and algorithms related to state-of-the-art methodologies surrounding the monitoring and mitigation of environmental pollution
  • Puts forth insights on future generation intelligent pollution monitoring techniques
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Specificații

ISBN-13: 9780128196717
ISBN-10: 0128196718
Pagini: 344
Dimensiuni: 191 x 235 x 21 mm
Greutate: 0.59 kg
Editura: ELSEVIER SCIENCE
Seria Intelligent Data-Centric Systems


Public țintă

The proposed edited book is focused towards application of Information Technology and expected to be of interest to professionals including researchers, with an orientation towards application of batch data processing technologies along with intelligent data processing tools. It is also expected to attract the attention of professionals engaged especially with large scale environmental monitoring and management. The aim seems to be to present a review of various batch data processing technologies including relevant intelligent tools and techniques. The application part (Part 3) is expected to deal with applications related to environment and health. If this part can be modified and embellished, the proposed book can be more attractive and useful to environmental management professionals.

Cuprins

1. Batch Adsorption Process in Water Treatment
2. Removal of heavy metals from industrial effluents by using Biochar
3. Nanoparticles: A new tool for control of mosquito larvae
4. Biosorption driven green technology for the treatment of heavy metal (loids) contaminated effluents
5. A Comprehensive Review of Glyphosate Adsorption with Factors Influencing Mechanism: Kinetics, Isotherms, Thermodynamics Study
6. Dyes and their removal technologies from wastewater
7. An Intelligent Estimation Model for Water Quality Parameters Assesment at Periyakulam Lake, South India
8. Recent Trends in Air Quality Prediction: An Artificial Intelligence Perspective
9. Optimisation of absorption process for exclusion of Carbaryl from aqueous environment using natural adsorbents
10. Artificial Neural Network: An Alternative Approach for Assessment of Biochemical Oxygen Demand of the Damodar River, West Bengal, India
11. Co-design to improve IAQ awareness in classrooms
12. Data Perspective on Environmental Mobile Crowd Sensing
13. A Survey of Adsorption Process Parameter Optimization related to Degradation of Environmental Pollutants