Shallow and deep levels in carbon-doped hexagonal boron nitride crystals
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
Evolving mario levels in the latent space of a deep convolutional generative adversarial network [PDF]
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
Detector properties of Cd0,9Zn0,1Te:Al under the influence of low doze gamma irradiation
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
Accurate Detection of Chylous Blood Levels by Deep Learning
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
doaj +1 more source
Deep Unfolding Network for Image Super-Resolution [PDF]
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, Radu Timofte
semanticscholar +1 more source
Prediction of Water Levels on Peatland using Deep Learning
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
doaj +1 more source
Calibrated river-level estimation from river cameras using convolutional neural networks
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
doaj +1 more source
Deep-level transient spectroscopy of Si/Si1–x–yGexCy heterostructures [PDF]
Deep-level transient spectroscopy was used to measure the activation energies of deep levels in n-type Si/Si1–x–yGexCy heterostructures grown by solid-source molecular-beam epitaxy.
Ahn, C. C. +6 more
core +1 more source
Development of Monitoring Robot System for Tomato Fruits in Hydroponic Greenhouses
Crop monitoring is highly important in terms of the efficient and stable performance of tasks such as planting, spraying, and harvesting, and for this reason, several studies are being conducted to develop and improve crop monitoring robots. In addition,
Dasom Seo +2 more
doaj +1 more source
Extensive dissolution of live pteropods in the Southern Ocean [PDF]
The carbonate chemistry of the surface ocean is rapidly changing with ocean acidification, a result of human activities. In the upper layers of the Southern Ocean, aragonite—a metastable form of calcium carbonate with rapid dissolution kinetics—may ...
A. Kuzirian +39 more
core +3 more sources

