Results 21 to 30 of about 20,846,472 (359)
Shallow and deep levels in carbon-doped hexagonal boron nitride crystals
PHYSICAL REVIEW MATERIALS, 2019 We study shallow and deep levels in carbon-doped hexagonal boron nitride crystals precipitated from a molten metal solution in a high-temperature furnace.
T. Pelini +11 more
semanticscholar +1 more source
Detector properties of Cd0,9Zn0,1Te:Al under the influence of low doze gamma irradiation
Tekhnologiya i Konstruirovanie v Elektronnoi Apparature, 2016 Clarification of the influence of defects on detecting properties of CdZnTe detectors and understanding of the behavior of defects under the influence of aggressive radiation environment are very important to improve detector performance.
А. И. Кондрик
doaj +1 more source
Evolving mario levels in the latent space of a deep convolutional generative adversarial network [PDF]
Annual Conference on Genetic and Evolutionary Computation, 2018 Generative Adversarial Networks (GANs) are a machine learning approach capable of generating novel example outputs across a space of provided training examples. Procedural Content Generation (PCG) of levels for video games could benefit from such models,
Vanessa Volz +5 more
semanticscholar +1 more source
Accurate Detection of Chylous Blood Levels by Deep Learning
IEEE Access, 2022 Chylous blood, a kind of abnormal blood with an increasing proportion, should be excluded from unpaid blood donation. Therefore, it is important to determine the level of chylous blood, to judge that whether blood is applicable.
Qing Qian +5 more
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Prediction of Water Levels on Peatland using Deep Learning
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022 The water level on peatlands is one of the causes of peatland fires, so water levels must be maintained at a safe standard value. Government Regulation No. 71/2014 stipulates water level standard value is 0.4 meters.
Namora, Jan Everhard Riwurohi
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Deep Unfolding Network for Image Super-Resolution [PDF]
Computer Vision and Pattern Recognition, 2020 Learning-based single image super-resolution (SISR) methods are continuously showing superior effectiveness and efficiency over traditional model-based methods, largely due to the end-to-end training.
K. Zhang, L. Gool, R. Timofte
semanticscholar +1 more source
Calibrated river-level estimation from river cameras using convolutional neural networks
Environmental Data Science, 2023 Monitoring river water levels is essential for the study of floods and mitigating their risks. River gauges are a well-established method for river water-level monitoring but many flood-prone areas are ungauged and must be studied through gauges located ...
Remy Vandaele +2 more
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Survey on deep learning with class imbalance
Journal of Big Data, 2019 The purpose of this study is to examine existing deep learning techniques for addressing class imbalanced data. Effective classification with imbalanced data is an important area of research, as high class imbalance is naturally inherent in many real ...
Justin M. Johnson, T. Khoshgoftaar
semanticscholar +1 more source
DeepEMhancer: a deep learning solution for cryo-EM volume post-processing
Communications Biology, 2020 Cryo-EM maps are valuable sources of information for protein structure modeling. However, due to the loss of contrast at high frequencies, they generally need to be post-processed to improve their interpretability.
R. Sánchez-García +5 more
semanticscholar +1 more source
A Novel Deep Learning Model for Detection of Severity Level of the Disease in Citrus Fruits
Electronics, 2022 Citrus fruit diseases have an egregious impact on both the quality and quantity of the citrus fruit production and market. Automatic detection of severity is essential for the high-quality production of fruit.
Poonam Dhiman +6 more
semanticscholar +1 more source