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This book focuses on the most recent environmentally-friendly technologies, such as physical treatments of heat and modified atmospheric packaging, developed to reduce spoilage and maintain the quality of produce. Internationally recognized investigators review the latest knowledge in this field. With several chapters written by the researchers who developed recent scientific breakthroughs, the book details newer technologies in heat treatment that help reduce decay, scalding, and chilling injury. Other topics include the technological revolution in transportation of produce from the producing countries to the consuming countries, and the growing trend of demand for fresh cut products.
This book, consisting a series of papers written by experts in their respective fields of specialization, will provide a comprehensive coverage of renewable energy technologies, such as wind, wave and solar thermal energy. Other industrial terms like photovoltaic systems, biomass, distributed generations and small hydro power systems are also discussed and further elaborated upon. The Handbook of Renewable Energy Technology will be of great practical benefit to professionals, scientists and researchers in the relevant industries, and will be of interest to those of the general public wanting to know more about renewable energy technologies.
Ein gemeinsames Verständnis – Shared Understanding (SU) – gilt als zentrale Voraussetzung für die effektive Zusammenarbeit heterogener Arbeitsgruppen, jedoch mangelt es bisher in Forschung und Praxis an einem einheitlichem Verständnis der Determinanten sowie an Gestaltungswissen zum gezielten Hervorrufen von SU in Zusammenarbeitsprozessen. Diese Dissertation adressiert diese Lücke durch folgende Kernbeiträge: Konzeptionalisierung von Shared Understanding und seiner Determinante Wiederverwendbare, validierte kollaborative Arbeitstechnik in Form des „MindMerger“ compound thinkLet zur Bildung von SU Kollaborationsprozess für Wissenstransfer in heterogenen Arbeitsgruppen, iterativ ...
Papers presented at the conference held at Indian Institute of Technology, Madras in 2007.
This two-volume set of IFIP AICT 617 and 618 constitutes the refereed proceedings of the IFIP WG 8.6 International Working Conference "Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation" on Transfer and Diffusion of IT, TDIT 2020, held in Tiruchirappalli, India, in December 2020. The 86 revised full papers and 36 short papers presented were carefully reviewed and selected from 224 submissions. The papers focus on the re-imagination of diffusion and adoption of emerging technologies. They are organized in the following parts: Part I: artificial intelligence and autonomous systems; big data and analytics; blockchain; diffusion and adoption technology; emerging technologies in e-Governance; emerging technologies in consumer decision making and choice; fin-tech applications; healthcare information technology; and Internet of Things Part II: diffusion of information technology and disaster management; adoption of mobile and platform-based applications; smart cities and digital government; social media; and diffusion of information technology and systems
This book covers applications of machine learning in artificial intelligence. The specific topics covered include human language, heterogeneous and streaming data, unmanned systems, neural information processing, marketing and the social sciences, bioinformatics and robotics, etc. It also provides a broad range of techniques that can be successfully applied and adopted in different areas. Accordingly, the book offers an interesting and insightful read for scholars in the areas of computer vision, speech recognition, healthcare, business, marketing, and bioinformatics.
Computer Science and Operations Research continue to have a synergistic relationship and this book represents the results of the cross-fertilization between OR/MS and CS/AI. It is this interface of OR/CS that makes possible advances that could not have been achieved in isolation. Taken collectively, these articles are indicative of the state of the art in the interface between OR/MS and CS/AI and of the high-caliber research being conducted by members of the INFORMS Computing Society.
Decision Criteria and Optimal Inventory Processes provides a theoretical and practical introduction to decision criteria and inventory processes. Inventory theory is presented by focusing on the analysis and processes underlying decision criteria. Included are many state-of-the-art criterion models as background material. These models are extended to the authors' newly developed fuzzy criterion models which constitute a general framework for the study of stochastic inventory models with special focus on the real world inventory theoretic reservoir operations problems. The applications of fuzzy criterion dynamic programming models are illustrated by reservoir operations including the integrat...
This Handbook serves as an authoritative reference book in the field of Neuroengineering. Neuroengineering is a very exciting field that is rapidly getting established as core subject matter for research and education. The Neuroengineering field has also produced an impressive array of industry products and clinical applications. It also serves as a reference book for graduate students, research scholars and teachers. Selected sections or a compendium of chapters may be used as “reference book” for a one or two semester graduate course in Biomedical Engineering. Some academicians will construct a “textbook” out of selected sections or chapters. The Handbook is also meant as a state-o...
This book recapitulates the major developments in Decision Support Systems (DSS) over the last 30 years in order to evaluate the research areas of decision making and in which direction the field should proceed. As it attempts to find a consensus about the next steps for the future of DSS research, the book also enforces the trends and new technologies currently in use. The book examines topics such as decision analysis for enterprise systems and non-hierarchical networks, integrated solutions for decision support and knowledge management in distributed environments, decision support system evaluation and analysis through social networks, and e-learning and its application to real environments. It clearly presents the evidence to support their cases and attempts to promote an extensive and objective discussion. In addition, the book also reflects on approaches to dead-end ideas and failures in DSS to better understand the lessons learned. The contributions for this book have been written by thought leaders and influential researchers from the EURO Working Group of Decision Support Systems (EWG-DSS).