Hong Yan – författare
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Food Powders is the first book that addresses key aspects of food powder technology. It is a comprehensive review on the characterization of ingredients, semi-processed and finished products when they are in a powdered form. It includes the description of different industrial unit operations such as drying, grinding, mixing, agglomeration, and encapsulation that supply food powders of different composition and microstructure. It also includes several analytical tools to characterize food powders by their particle size, size distribution, physical properties, and functionality. Written from an engineering perspective, the book is designed and developed as a useful reference for individuals in both the food industry and academia interested in an organized and updated review.
It is a valuable addition to the food powder technology literature and promotes additional interest in advancing food powders research, development, education and implementation.
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Artificial intelligence (AI) has become pervasive in most areas of research and applications. While computation can significantly reduce mental efforts for complex problem solving, effective computer algorithms allow continuous improvement of AI tools to handle complexity—in both time and memory requirements—for machine learning in large datasets. Meanwhile, data science is an evolving scientific discipline that strives to overcome the hindrance of traditional skills that are too limited to enable scientific discovery when leveraging research outcomes. Solutions to many problems in medicine and life science, which cannot be answered by these conventional approaches, are urgently needed for society.
This edited book attempts to report recent advances in the complementary domains of AI, computation, and data science with applications in medicine and life science. The benefits to the reader are manifold as researchers from similar or different fields can be aware of advanced developments and novel applications that can be useful for either immediate implementations or future scientific pursuit.
Features:
Considers recent advances in AI, computation, and data science for solving complex problems in medicine, physiology, biology, chemistry, and biochemistryProvides recent developments in three evolving key areas and their complementary combinations: AI, computation, and data scienceReports on applications in medicine and physiology, including cancer, neuroscience, and digital pathologyExamines applications in life science, including systems biology, biochemistry, and even food technologyThis unique book, representing research from a team of international contributors, has not only real utility in academia for those in the medical and life sciences communities, but also a much wider readership from industry, science, and other areas of technology and education.Advances in Artificial Intelligence, Computation, and Data Science
For Medicine and Life Science
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1 667 kr
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1 082 kr
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Series-parallel conversion systems, in which multiple standardized converter modules are connected in series or parallel at the input and output sides, to meet the demands of various applications. This book focuses on the control strategies for the series-parallel conversion systems with DC-DC converters and DC-AC inverters as the basic modules, respectively, to achieve input voltage/current sharing and output voltage/current sharing among the constituent modules. The detailed theoretical analysis with design examples and experimental validations are presented. This book is essential and valuable reference for graduate students and academics majoring in power electronics and engineers engaged in developing DC-DC converters, DC-AC inverters and power electronics transformers.
Fuzzy Algorithms: With Applications To Image Processing And Pattern Recognition
1 229 kr
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