Titlebook: Industrial Crystallization; Process Simulation A Narayan S. Tavare Book 1995 Springer Science+Business Media New York 1995 crystal.crystall

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Narayan S. Tavares explored for more advanced video processing. In this paper, we propose a learnable unified framework for propagating a variety of visual properties of video images, including but not limited to color, high dynamic range (HDR), and segmentation mask, where the properties are available for only a fe

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Narayan S. Tavarens) are entirely different and that image variations are largely caused by cameras. Given a labeled source training set and an unlabeled target training set, we aim to improve the generalization ability of re-ID models on the target testing set. To this end, we introduce a Hetero-Homogeneous Learnin

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Continuous Crystallizers,mmodity crystalline products because they can be operated at the desired operating conditions under steady state, thus yielding constant product quality. Since the early sixties, the steady-state continuous crystallizer studies have been used in the laboratory for industrial crystallization research.

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