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Transformation optics has been widely used for controlling various fields/waves, such as electromagnetic fields, acoustic waves, thermal fields, and water waves. Many novel devices with unique functions (e.g., invisibility cloak, perfect imaging, etc.) can be designed with the help of Transformation optics. In recent years, many new research branches in transformation optics are developing, such as simultaneous controlling multiple physical fields, deep learning for designing invisibility cloaks, optical surface transformation, and so on. This Research Topic will focus on any frontier areas and research branches related to transformation optics.
Drawing on the continued wealth of photochemical research, this volume combines reviews on the latest advances in the field with specific topical highlights. Starting with periodical reports of the recent literature on physical and inorganic aspects, light induced reactions in cryogenic matrices, properties of transition-metal compounds, time-resolved spectroscopy, the exploitation of solar energy and the molecules of colour. Coverage continues with highlighted topics, in the second part, from photoresponsive hydrogels, the tunable photoredox properties of organic dyes, light-driven asymmetric organocatalytic processes, dual gold–photoredox catalysis, the preparation and characterization o...
To the hard-pressed systems designer this book will come as a godsend. It is a hands-on guide to the many ways in which processor-based systems are designed to allow low power devices. Covering a huge range of topics, and co-authored by some of the field’s top practitioners, the book provides a good starting point for engineers in the area, and to research students embarking upon work on embedded systems and architectures.
The four-volume set comprising LNCS volumes 5302/5303/5304/5305 constitutes the refereed proceedings of the 10th European Conference on Computer Vision, ECCV 2008, held in Marseille, France, in October 2008. The 243 revised papers presented were carefully reviewed and selected from a total of 871 papers submitted. The four books cover the entire range of current issues in computer vision. The papers are organized in topical sections on recognition, stereo, people and face recognition, object tracking, matching, learning and features, MRFs, segmentation, computational photography and active reconstruction.
This book focuses on the widespread use of deep neural networks and their various techniques in session-based recommender systems (SBRS). It presents the success of using deep learning techniques in many SBRS applications from different perspectives. For this purpose, the concepts and fundamentals of SBRS are fully elaborated, and different deep learning techniques focusing on the development of SBRS are studied. The book is well-modularized, and each chapter can be read in a stand-alone manner based on individual interests and needs. In the first chapter of the book, definitions and concepts related to SBRS are reviewed, and a taxonomy of different SBRS approaches is presented, where the ch...