Multivariate Statistical Process Control

Biodegradable Polymers and Composites - Process Engineering to Commercialization is designed in such a way that it not only gives basic knowledge but also contains information regarding conventional a

Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management presents the state-of-the-art in hybrid electric vehicle system modelling and management. With a focus on learning-based energy management strategies, the book provides detailed methods, mathematical models, and strategies designed to optimize the energy management of the energy supply module of a hybrid vehicle.The book first addresses the underlying problems in Hybrid Electric Vehicle (HEV) modeling, and then introduces several artificial intelligence-based energy management strategies of HEV systems, including those based on fuzzy control with driving pattern recognition, multi objective optimization, fuzzy Q-learning and Deep Deterministic Policy Gradient (DDPG) algorithms. To help readers apply these management strategies, the book also introduces State of Charge and State of Health prediction methods and real time driving pattern recognition. For each application, the detailed experimental process

Models and Applications of Tourists' Travel Behavior provides an overview of all possible approaches to modeling tourists' travel behavior, helping readers decide which theoretical approach should be chosen depending on the available type of data. It focuses on the connection between traditional travel behavior theories and tourist studies and introduces specific tourist contexts in travel demand modelling. It goes beyond the theoretical background of tourist travel behavior modeling and offers a practical understanding for choosing the right model and sourcing the right data. The book begins with the role of transport in tourist' travel behavior, then employs a literature review to establish the necessary background on the topic. It then goes on to describe theoretical approaches, descriptive approaches, and statistical approaches for modelling. It discusses choice models based on both Stated Preference Data and Revealed Preference Data. It concludes with chapters on machine learning

Precision CNC Machining for High-Performance Gears: Theory and Technology covers basic theories and methods, key technologies, and machining equipment in precision CNC machining of high-performance gears. Sections cover research status and development trends of machining technologies and CNC machining equipment of high-performance gears, calculation theories of the precision modification method of high-performance gears, methods of reducing the machining principle errors of high-performance gears, the modeling method of multi-source errors and the compensation technique of CNC gear machine tools, the key technologies of precision CNC gear machine tools, the optimization method of the process parameters of hobbing and grinding, key technologies, and more.

Oral and Maxillofacial Pathology, 5th Edition guides you through the wide variety of diseases that may affect the oral and maxillofacial region. More than 1,500 radiographs and full-color clinical photos bring various lesions and conditions to life. Updates in this edition include coverage of the latest advances in oral squamous cell carcinoma treatment, HPV, and molecular pathology, along with revised content throughout. Well-known oral pathology educators Brad Neville, Douglas Damm, Carl Allen, and Angela Chi, bring you up to date on the latest concepts of pathogenesis and disease management in the care of patients with oral disease. Comprehensive, contemporary overview of oral and maxillofacial pathology includes a detailed description of each individual lesion or pathologic condition and the kind of pathologic process that it represents, followed by a discussion of its clinical and/or radiographic presentation, histopathologic features, and its treatment and prognosis. Coverage of

The volume has as primary focus multidimensional gas chromatography (heart-cutting systems, comprehensive 2D-GC systems and hybrid solutions) and its characteristic features for in depth investigation of complex fractions of odor-active volatiles. Contributions, from outstanding researchers in the field from Academia and industry, cover fundamentals aspects on the physiology of olfaction, the strategies to identify key-odorants from the bulk of detectable volatiles (sensomics), the principles of operation of multidimensional analytical platforms (i.e., comprehensive two-dimensional gas chromatography - GC脙C; heart-cut 2D-GC, hybrid systems), and the fundamental role of mass spectrometry in providing reliable and informative data. Insights on new systems design and configurations are also provided, including sample preparation and data processing strategies, as important steps of the whole analytical process. Real-world examples cover food volatiles, complex aroma mixtures, odors emitte