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Developing a web-based system for supervised classification of remote sensing images
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Classification of Nodal Pockets in Many-Electron Wave Functions via Machine Learning
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On the Generalized Retracts and Isomorphic Classification of Free Objects. II
We present the application of parallel generalized retracts to the construction of spaces with topologically isomorphic free (Abelian) topological groups and free locally convex spaces.
Marine animal classification using UMSLI in HBOI optical test facility
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Classification of the Crystallization Behavior of Amorphous Active Pharmaceutical Ingredients in Aqueous Environments
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Classification and morphology of circulating haemocytes in the razor clam Sinonovacula constricta
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Classification of matrix product states with a local (gauge) symmetry
Matrix Product States (MPS) are a particular type of one dimensional tensor network states, that have been applied to the study of numerous quantum many body problems. One of their key features is the possibility to describe and encode symmetries on the level of a single building block (tensor), and hence they provide a natural playground for the study of symmetric systems. In particular, recent works have proposed to use MPS (and higher dimensional tensor networks) for the study of systems with local symmetry that appear in the context of gauge theories. In this work we classify MPS which exhibit local invariance under arbitrary gauge groups. We study the respective tensors and their structure, revealing known constructions that follow known gauging procedures, as well as different, other types of possible gauge invariant states. - Highlights: • Structure of tensors generating states (MPS) with local symmetry is determined. • Three types of states analyzed: matter, pure gauge field and their combined state. • Structure of gauge field Hilbert space derived from local symmetry assumption. • New gauge invariant states described, not the result of gauging a global symmetry.
A comprehensive review of solar only and hybrid solar driven multigeneration systems: Classifications, benefits, design and prospective
Depending on the application and demands, different products can be generated utilizing multigeneration systems. To drive such systems, solar energy can be used as a primary energy source or in hybridization with other renewable or nonrenewable energy sources. Solar driven multigeneration systems are appealing due to the broad availability of solar energy and related technologies. Here, the objective of this study is to review, categorize and discuss different configurations, benefits, potentials, challenges, future research directions and market perspectives of solar energy-driven multigeneration systems, comprehensively. This study also reviews how solar energy systems can be used to hybridize systems for multigeneration purposes. Regardless of using fossil fuel backup sources, these systems are classified as (1) solar only-driven and (2) hybrid solar-driven, in which solar energy is used together with other renewable sources. Reviewing the literature demonstrates numerous ways to build solar energy-driven multigeneration systems by coupling a variety of different cycles and devices. Such systems offer multiple benefits such as enhancing the efficiency, reducing capital and operating costs and carbon dioxide emission. Hybridizing solar with other renewable energies enables continuous operation and dispatchability management. This review shows that for configuration selection and design, different thermodynamics, economic and environmental aspects should be considered. To advance the solar driven multigeneration systems development, further multidisciplinary research on different aspects of such systems is necessary. Particularly, investigations should focus on building different prototypes and on conducting experimental assessments. Also, new incentives and long-term purchase agreements for the products must be established.
Prognostic Classification of Multiple Primary Lung Cancers Based on a Ground-Glass Opacity Component
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