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
Insulator-to-metal transition in sulfur-doped silicon [PDF]
, 2011 We observe an insulator-to-metal (I-M) transition in crystalline silicon doped with sulfur to non- equilibrium concentrations using ion implantation followed by pulsed laser melting and rapid resolidification. This I-M transition is due to a dopant known
Aurore J. Said +11 more
core +2 more sources
ABOUT THE SILICON SENSITIVITY OF THE DEEP LEVEL WITH ALTERNATING PRESSURE
International Islamic University Malaysia Engineering Journal, 2018 : This paper discusses the strain sensitivity of silicon with deep levels under variable pressure. It is shown that in the pressure swing in silicon with deep levels, there is a redistribution of the primary spatial inhomogeneities in the distribution of
Ikrom gulamjonovich Tursunov +2 more
doaj +1 more source
Spontaneous radiative decay of translational levels of an atom near a dielectric surface [PDF]
, 2006 We study spontaneous radiative decay of translational levels of an atom in the vicinity of a semi-infinite dielectric. We systematically derive the microscopic dynamical equations for the spontaneous decay process.
A. D. McLachlan +6 more
core +2 more sources
Deep learning enables structured illumination microscopy with low light levels and enhanced speed
Nature Communications, 2019 Structured illumination microscopy (SIM) surpasses the optical diffraction limit and offers a two-fold enhancement in resolution over diffraction limited microscopy.
Luhong Jin +8 more
semanticscholar +1 more source
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry [PDF]
Computer Vision and Pattern Recognition, 2020 We propose D3VO as a novel framework for monocular visual odometry that exploits deep networks on three levels -- deep depth, pose and uncertainty estimation.
Nan Yang +3 more
semanticscholar +1 more source
Investigating the possibility of using CdTeSe-based materials for ionizing radiation detectors
Технологія та конструювання в електронній апаратуріThe article describes the study of the properties of materials based on CdTe1-xSex suitable for X-ray and gamma radiation detectors. The purpose of the study was to determine by computer modeling the optimal content of impurities and structural defects ...
Оleksandr Kondrik
doaj +1 more source
Increased Levels of NF-kB-Dependent Markers in Cancer-Associated Deep Venous Thrombosis. [PDF]
PLoS ONE, 2015 Several studies highlight the role of inflammatory markers in thrombosis as well as in cancer. However, their combined role in cancer-associated deep vein thrombosis (DVT) and the molecular mechanisms, involved in its pathophysiology, needs further ...
Grazia Malaponte +8 more
doaj +1 more source
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks
, 2019 Deep networks consume a large amount of memory by their nature. A natural question arises can we reduce that memory requirement whilst maintaining performance.
Ahn, Chanho +3 more
core +1 more source
Intrinsic Defect-Related Photoluminescence in Single-Crystalline Tin Dioxide
SolidsPhotoluminescence studies of single-crystalline SnO2 grown by chemical vapor transport from SnCl4 and H2O vapors were carried out in the visible spectral range.
Vadim F. Agekyan +3 more
doaj +1 more source