Results 11 to 20 of about 220,222 (219)
A semantic segmentation scheme for night driving improved by irregular convolution
Frontiers in Neurorobotics, 2023 In order to solve the poor performance of real-time semantic segmentation of night road conditions in video images due to insufficient light and motion blur, this study proposes a scheme: a fuzzy information complementation strategy based on generative ...
Yang Xuantao, Han Junying, Liu Chenzhong
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Sensors, 2022 Brain decoding is a process of decoding human cognitive contents from brain activities. However, improving the accuracy of brain decoding remains difficult due to the unique characteristics of the brain, such as the small sample size and high ...
Takaaki Higashi +3 more
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IEEE Access, 2023 This paper tackles the electron microscope image processing for rubber material discovery. In rubber material science fields, electron microscope images are used to observe the properties of materials during their development process. Hence, by analyzing
Rintaro Yanagi +4 more
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Advanced Science, 2023 A multimodal deep‐learning (MDL) framework is presented for predicting physical properties of a ten‐dimensional acrylic polymer composite material by merging physical attributes and chemical data.
Shun Muroga, Yasuaki Miki, Kenji Hata
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Deep generative model for probabilistic wind speed and wind power estimation at a wind farm
Energy Science & Engineering, 2022 This work introduces a novel method to generate probabilistic hub‐height wind speed forecasts aimed at power output prediction. We employ state‐of‐the‐art convolutional variational autoencoders (CVAEs) trained with historical wind speed observations ...
Andrés A. Salazar +3 more
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Future of the Artificial Intelligence: Object of Law or Legal Personality?
Journal of Digital Technologies and Law, 2023 Objective: to reveal the problems associated with legal regulation of public relations, in which artificial intelligence systems are used, and to rationally comprehend the possibility of endowing such systems with a legal subject status, which is being ...
I. A. Filipova, V. D. Koroteev
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Depth Estimation From a Light Field Image Pair With a Generative Model
IEEE Access, 2019 In this paper, we propose a novel method to estimate the disparity maps from a light field image pair captured by a pair of light field cameras. Our method integrates two types of critical depth cues, which are separately inferred from the epipolar plane
Tao Yan +5 more
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Journal of Advances in Modeling Earth Systems, 2023 Subgrid parameterizations of mesoscale eddies continue to be in demand for climate simulations. These subgrid parameterizations can be powerfully designed using physics and/or data‐driven methods, with uncertainty quantification.
Pavel Perezhogin +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld +5 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo +9 more
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