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English | 2021 | ISBN: 183953155X | 570 pages | True PDF | 18.7 MB In solar cell production, metallization is the manufacturing of metal contacts at the surfaces of solar cells in order to collect the photo-generated current for use. Being one of the most expensive steps in solar cell fabrication, it plays both an electrical and an optical role, because the contacts contribute to shading, and to the series resistance of solar cells. In addition, metal contacts may reduce the solar cells voltage due to charge carrier recombination at the metal / silicon interface. Addressing these challenges could increase solar cell conversion efficiency while cutting their production costs.  English | 2021 | ISBN: 1785619071 | 360 pages | True PDF | 20.26 MB High-frequency switching power semiconductor devices are at the heart of power electronic converters. To date, these devices have been dominated by the well-established silicon (Si) technology. However, their intrinsic physical limits are becoming a barrier to achieving higher performance power conversion. Wide Bandgap (WBG) semiconductor devices offer the potential for higher efficiency, smaller size, lighter weight, and/or longer lifetime. Applications in power grid electronics as well as in electromobility are on the rise, but a number of technological bottle-necks need to be overcome if applications are to become more widespread - particularly packaging.  English | 2021 | ISBN: 0744035007 | 479 pages | True EPUB | 109.73 MB [b]A comprehensive life and works book of a literary great - William Shakespeare!  English | 2021 | ISBN: 1648410456 , 978-1648410451 | 220 pages | True EPUB | 4.49 MB Modern life calls for modern relationship advice. Sex From Scratch is a love and dating guidebook that gleans real-life knowledge from smart people in a variety of nontraditional relationships. Instead of telling people how to snag a man, seduce a woman, or find "true love," the book sums up what dozens of diverse folks have learned the hard way over time. Sarah Mirk offers tips and stories from the steadfastly single to people making open relationships work, from people who've decided they're never going to have kids to parents who are consciously producing the next generation. No matter what type of relationship you're in or what type you want, Mirk's reporterly wisdom and sense of humor provides perspective, humor, and down to earth guidance. This is an essential, fun, insightful resource whose time has come.  English | 2018 | ISBN: 9781788620642 | 254 ages | True (PDF,EPUB,MOB) | 75.52 MB Get started with designing your serverless application using optimum design patterns and industry standard practices  English | 2020 | ISBN: 3736973462 , 978-3736973466 | 323 pages | True PDF | 23.96 MB Content-based image retrieval (CBIR) aims for finding images in large databases such as the internet based on their content. Given an exemplary query image provided by the user, the retrieval system provides a ranked list of similar images. Most contemporary CBIR systems compare images solely by means of their visual similarity, i.e., the occurrence of similar textures and the composition of colors. However, visual similarity does not necessarily coincide with semantic similarity. For example, images of butterflies and caterpillars can be considered as similar, because the caterpillar turns into a butterfly at some point in time. Visually, however, they do not have much in common. In this work, we propose to integrate such human prior knowledge about the semantics of the world into deep learning techniques. Class hierarchies serve as a source for this knowledge, which are readily available for a plethora of domains and encode is-a relationships (e.g., a poodle is a dog is an animal etc.). Our hierarchy-based semantic embeddings improve the semantic consistency of CBIR results substantially compared to conventional image representations and features. We furthermore present three different mechanisms for interactive image retrieval by incorporating user feedback to resolve the inherent semantic ambiguity present in the query image. One of the proposed methods reduces the required user feedback to a single click using clustering, while another keeps the human in the loop by actively asking for feedback regarding those images which are expected to improve the relevance model the most. 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