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Machine Learning Approach for Cloud Data Analytics in IoT The book covers the multidimensional perspective of machine learning through the perspective of cloud computing and Internet of Things ranging from fundamentals to advanced applications Sustainable computing paradigms like cloud and fog are capable of handling issues related to performance, storage and processing, maintenance, security, efficiency, integration, cost, energy and latency in an expeditious manner. In order to expedite decision-making involved in the complex computation and processing of collected data, IoT devices are connected to the cloud or fog environment. Since machine learning as a service provides the best support...
Achieving environmental sustainability with rapid industrialization is currently a major global challenge. Industries are the key economic drivers, but are also the main polluters as untreated/partially treated effluents from industry are usually discharged into the aquatic environment or dumped. Industrial effluents often contain highly toxic and hazardous pollutants, which cause ecological damage and present and health hazards to living beings. As such, there is a pressing need to find ecofriendly solutions to deal with industrial waste, and to develop sustainable methods for treating/detoxifying waste before it’s released into the environment. As a low cost and eco-friendly clean techno...
The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the fir...
Deniz Yilmaz' thesis describes a combination of orthogonal supramolecular interactions for the design of functional monolayer architectures on surfaces, that can be used as chemical and biosensors in a wide range of applications. The term “orthogonal supramolecular interactions” refers to non-covalent interactions that do not influence each other's assembly properties. Orthogonal self-assembly thus allows extended control over the self-assembly process and promotes new materials properties. The first part of the thesis employs orthogonal host-guest and lanthanide-ligand coordination interaction motifs to create supramolecular luminescent monolayers. The second part of the thesis describe...
Magnetic Resonance Imaging“Magnetic Resonance Imaging” (MRI) is the most widely clinically used diagnostic tool for soft tissue imaging. This advanced technology and its applications are under continuous research and development, ranging from lower fields to ultra-high fields to the highest possible fields for preclinical (animal) and human imaging. Formerly known as Nuclear Magnetic Resonance Imaging (NMR), with the rising demands of clinical diagnosis requirements, it is under constant development and innovation in hospitals for populations around the world because of constant desire to go to higher fields that lead to unique research and clinical applications that aren’t achievable ...
Theories within tourism can be difficult, even confusing areas to understand. Developed from the successful Portuguese textbook Teoria do Turismo, Tourism Theory provides clear and thorough coverage of all aspects of tourism theory for students and researchers of tourism. Consisting of five sections and over fifty entries, this book covers nine of the most important models in tourism study. The first three sections examine general concepts in tourism; disciplines and topics; and the tourist, which includes areas such as demand, gaze, psychology and typologies. A fourth section covers intermediation, distribution and travel, reviewing aspects such as travel agencies, tourist flows and multi-d...
The Future of Pharmaceutical Product Development and Research examines the latest developments in the pharmaceutical sciences, also highlighting key developments, research and future opportunities. Written by experts in the field, this volume in the Advances in Pharmaceutical Product Development and Research series deepens our understanding of the product development phase of drug discovery and drug development. Each chapter covers fundamental principles, advanced methodologies and technologies employed by pharmaceutical scientists, researchers and the pharmaceutical industry. The book focuses on excipients, radiopharmaceuticals, and how manufacturing should be conducted in an environment that follows Good Manufacturing Practice (GMP) guidelines. Researchers and students will find this book to be a comprehensive resource for those working in, and studying, pharmaceuticals, cosmetics, biotechnology, foods and related industries.
This book presents the proceedings of the 10th Conference on Theory and Applications of Soft Computing, Computing with Words and Perceptions, ICSCCW 2019, held in Prague, Czech Republic, on August 27–28, 2019. It includes contributions from diverse areas of soft computing and computing with words, such as uncertain computation, decision-making under imperfect information, neuro-fuzzy approaches, deep learning, natural language processing, and others. The topics of the papers include theory and applications of soft computing, information granulation, computing with words, computing with perceptions, image processing with soft computing, probabilistic reasoning, intelligent control, machine ...
This is an open access book. We warmly invite you to participate in Mathematics and Science Education International Seminar that was held on November 13th, 2021 in Bengkulu – Indonesia. Since participants may come from different countries with variety of backgrounds, the conference is an excellent forum for participants to exchange research findings and ideas on mathematics and science and to build networks for further collaborations.. The disruption era is related to the development of the industrial revolution 4.0 and society 5.0 era. Industrial revolution 4.0 era is marked by massive digital technology development in all aspects. Digital technology transformation is applied in human life and it is known as human-centered society. Development of digital technology has been influence some aspects such as education, environment, and society. Using digital technology does not only gives negative impacts but also positive impacts. It is important to strengthen sustainable education that has insight into conservation and local wisdom in this era for a better society.