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Full Description
This book includes recent articles with new findings in Mathematics and Computer Science, Microbiology and Biotechnology, Environmental Science and Oceanography, Physics and Physical Chemistry, Chemistry, and Biochemistry. Also, it contains some articles on the state of the art.
The books shows the interaction of the different disciplines of basic sciences and their roles to achieve the green environment and sustainable development via the application of green sciences. Also, the data and information in this book include solving problems in the statistic statistical and computer analysis of many experimental data; broaden the understanding for of many environmental phenomena; broaden the understanding on of how many green synthetic materials could be achieved and examples of their application in biochemistry and microbiology fields; explain how the basic sciences can help in the sustainable development; and explain how deep learning could be used in predicting some phenomena.
Additionally, the book enriches understanding of many microbiological and biochemical phenomena and provides complete instructions for many biotechnological aspects. It provides complete instructions for representative waste treatment; enriches understanding of how some biochemical compounds could be tested for representative disease management; case studies that illustrate newly developed equation equations in physics; and summarizes the latest studies in the completeness between basic sciences and climate changes.
Contents
Part I: Mathematics and Computer Science:
Chapter 1. Shifted Chebyshev polynomials with residual power series method for solving various types of models.-Chapter 2. Neighborhood Morphological Operators and Accuracy Measures for Information Systems.- Chapter 3. A Series Approximate Solution to the Fractional Relaxation Oscillation Equations.- Chapter 4. Determining Student Behaviour Using Deep Learning Methods.- Chapter 5. Classification of Multi Plant Leaf Diseases based on Optimization of the Convolutional Neural Network Models.- Chapter 6. Using Virtual Machine in Changing Resources During Runtime for Adaptive Service Level Agreement.- Chapter 7. Utilized CNN Model for Lung Diseases Detection.-
Part II: Environmental Science and Oceanography
Chapter 8. Air Pollutant Loads Accompanying Petroleum Production Activities as an Indicator of Operating Efficiency at Khalda Petroleum Company.- Chapter 9. Developing an Innovative Regression Model to Predict Industrial Facilities' Risk Scores by Leveraging Environmental Compliance Assessments Data.- Chapter 10. Optimizing Environmental Inspection Operations on Industrial Facilities through Data-Driven Risk Classification: A Case Study.- Chapter 11. Polysaccharides Encapsulate Metal Oxides/Sulphides Based Nano-composites Beads for Cd(II) Sorption from Industrial Wastewater.- Chapter 12. Decadal Changes of Hydrographic Structure and Water Masses of the Red Sea.- Chapter 13. The Role of Environmental Engineering and Sustainable Agriculture in Development - Between Reality and Aspiration.- Chapter 14. Spatial Distribution and Assessment of Physicochemical Properties and Heavy Metals Pollution in Water and Sediments of Two Drains, Nile Delta, Egypt.- Chapter 15. Assessment of Carbon Footprints as a Response to Climatic Changes.- ect.....
