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This book covers the latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing, and their applications in real world. The topics covered in machine learning involve feature extraction, variants of support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN), and other areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use of geometric techniques, scene understanding and modeling from video, 3D object recognition, localization and tracking, medical image analysis, and so on.
Among various industries releasing wastewater into the environment, printing, dyeing and textile industries are of great importance as they frequently contain high amounts of colorful compounds having high chemical and biological oxygen demands. Health related effects of colorants are extensively reported; which necessitates the seriousness of dye removal from water and wastewater. The utilization of advanced oxidation processes (AOPs) in dye degradation has gained considerable attention recently due to the release of high energetic radicals as oxidants that are capable of removing dye compounds. This Volume 1 presents versatile applications of AOPs in dye removal. Accordingly, processes such as Ozone-based AOPs, UV irradiation, catalytic AOPs, etc are discussed with the aim of dye removal under different operational parameters. The role of different nanoparticles is also investigated. By presenting the fundamentals of AOPs as well as recent advances, this book is useful for environmental engineers and chemists who are concerned with wastewater pollution and treatment.
Textile industry wastewater contains toxic dyes as well as heavy metals and many other persistent organic compounds which are difficult to biodegrade using conventional biological methods. Advanced Oxidation Processes (AOPs) are one of the best alternatives for the effective degradation of such compounds. This Volume 2 starts with homogeneous and heterogeneous Fenton processes and reviews the application and variables that affect the process. It then discusses plasma technology- an emerging method in terms of its chemistry, treatment set-up, limitations, etc. The positive performance of carbon tetrachloride in process intensification of dye degradation is presented. The other chapters include topics such as sonoenzymatic treatment processes, electroflocculation versus textile wastewater, combination of photocatalysis and membrane Separation, and enhancement of anaerobic digestion and photodegradation through adsorption.
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The book is structured in three parts. Part I starts with the motivation for the work and introduces the general structure of the book. Next, chapter 2 provides a brief introduction to main BPM concepts including the business process lifecycle, which describes the analysis of an organization by means of modeling and simulation, business process performance indicators, and the automatic extraction of information from event data. Chapter 3 then offers a summary of the concept of agent and the studies concerning agent-based approaches that involve business process analysis and management studies.
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From the producers of the Oscar-winning movie Crash, comes the hour-long drama centering on Angela Henson (Abigail Spencer, “All My Children”) a young FBI agent who has the exceptional gift of knowing when someone is lying. She discovered this skill at age 14, when she learned her “average” American parents were actually spies. Attempting to right her parents’ wrong, Angela is now working with the same agency that brought her parents down. And while her unique ability is advantageous in her career, it hinders her personal life, preventing her to get close to the men she dates.
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UFC 289: Nunes vs. Aldana was a mixed martial arts event produced by the Ultimate Fighting Championship that took place on June 10, 2023, at the Rogers Arena in Vancouver, British Columbia, Canada.
