Results 41 to 50 of about 9,191 (261)
Computational aesthetics and applications
Visual Computing for Industry, Biomedicine, and Art, 2018 Computational aesthetics, which bridges science and art, is emerging as a new interdisciplinary field. This paper concentrates on two main aspects of computational aesthetics: aesthetic measurement and quantification, generative art, and then proposes a ...
Yihang Bo, Jinhui Yu, Kang Zhang
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Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
Advanced Functional Materials, EarlyView.A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
Designed Lewis Acid–Base Passivation for High Performance Perovskite Solar Cells
Advanced Functional Materials, EarlyView.ABSTRACT Silicon's high cost and long energy payback time remain major barriers to the global expansion of solar power. In contrast, metal–halide perovskites offer abundant, solution‐processable absorbers, and have achieved efficiencies of 25%–30%, positioning them as strong competitors to silicon.
Afna Manaf +4 more
wiley +1 more source
Reconfigurable Processor for Energy-Efficient Computational Photography [PDF]
, 2013 This paper presents an on-chip implementation of a scalable reconfigurable bilateral filtering processor for computational photography applications such as HDR imaging, low-light enhancement, and glare reduction.
Raina, Priyanka +5 more
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EntropyMulti-exposure image fusion (MEF) is a computational approach that amalgamates multiple images, each captured at varying exposure levels, into a singular, high-quality image that faithfully encapsulates the visual information from all the contributing ...
Yuhui Huang +4 more
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Gradient pooling distillation network for lightweight single image super-resolution reconstruction [PDF]
PeerJ Computer ScienceThe single image super-resolution (SISR) is a classical problem in the field of computer vision, aiming to enhance high-resolution details from low-resolution images.
Zhiyong Hong +2 more
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Performance Study of Eductor with Finite Secondary Source for Membrane Distillation
Energies, 2022 This is an experimental work performed to identify the influence of direct contact condensation inside an eductor. The fluid used in the experiments is water in two different phases: liquid and vapor, for primary and secondary flows, respectively.
Ravi Koirala +4 more
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Advanced Functional Materials, EarlyView.This study highlights the integration of stable two‐dimensional covalent organic framework (COF) films as photoactive layers in hybrid nanoenergy devices. The results demonstrate their capacity to generate electricity under both sunny and rainy conditions, showcasing versatility and resilience.
Joab D. Guerrero +13 more
wiley +1 more source
Mobile Computational Photography: Exposure Fusion on the Nokia N900
, 2021 This paper explores the Nokia N900 platform as a versatile playground for mobile computational photography. We present the implementation of a simple yet practical application to acquire high quality tone mapped HDR images, and a relatively ...
Echevarria, Jose I., Gutierrez, Diego
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LRFNet: Learning Light Field Reconstruction via a Large Receptive Field Network
IEEE AccessDensely sampled light fields are powerful tools for applications such as post-capture refocusing and virtual reality, but acquiring such data remains costly and technically demanding.
Ahmed Salem +4 more
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