Аннотация:his book covers key areas of science and technology. The contributions by the authors include hexavalent chromium, waste water, biosorption, butea monosperma bark, water management, machine learning, water harvesting and recycling, artificial neural network, recurrent neural network, crop management, support vector machine, electrical fault, power quality detection algorithms, customer-owned DERS monitoring, intelligent electronic devices, electric vehicles, slow charging concerns, sustainable transportation, urban pollution, WORLD7 model, zirconium, hafnium, superalloys, system dynamics, COVID-19 epidemic, deep learning, nonspecific pneumonia, computed tomography, 3D joint inversion of gravity and magnetic data, geophysical methods, potential theory, newton-gauss iteration, future circular collider, iron-free magnetic system, Cobham’s program, electromagnetic modelling. This book contains various materials suitable for students, researchers, and academicians in the field science and technology. Chapters: 1. Addressing Slow Charging Concerns in Current Electric Vehicles: A Comprehensive Analysis by Ashish Saji, Gauri Ansurkar; 2. An Evaluation of the Long-term Worldwide Availability and Market Value of Zirconium and Hafnium in Relationship to Future Demands Utilizing the WORLD7 Model by Harald Ulrik Sverdrup, Antoniy Elias Sverdrup; 3. Machine Learning in Water Management by Aditya V Machnoor, Ajayakumar, Mallanna Malagatti; 4. Electrical Fault and Power Quality Detection Algorithms and Customer-Owned DERs Monitoring with a Cyber Grid Guard System and DLT by Emilio C. Piesciorovsky, Gary Hahn, Raymond Borges Hink, Aaron Werth, Annabelle Lee; 5. Adsorption of Hexavalent Chromium from Wastewater Utilizing Chitosan Based Activated Carbon Prepared from Butea monosperma Bark by S. S. Hunge; 6. New Achievement of 3D Joint Inversion of Gravity and Magnetic Data Using Gramian-based Structural Similarity and Structural Direction Constraints. Case Study: Intraplate Phreatomagmatic Structure Los Contreras, Mexico by Abraham Del Razo Gonzalez, Vsevolod Yutsis; 7. Application of Deep Learning for Detection and Analysis of COVID-19 Outcomes: Deep-COVID by Muhammad Ibrahim Khalil, Mahwish Kundi, Saif Ur Rehman, Tahani Brarakah Alsaedi; 8. Comparing Detector Magnetic Systems for the Future Circular Hadron-Hadron Collider by Vyacheslav Klyukhin, Austin Ball, Christophe Paul Berriaud, Benoit Curé, Alexey Dudarev , Andrea Gaddi , Hubert Gerwig, Alain Hervé, Matthias Mentink, Werner Riegler, Udo Wagner and Herman Ten Kate.
