Results 1 to 10 of about 1,914,645 (291)

Research on a Rice Counting Algorithm Based on an Improved MCNN and a Density Map [PDF]

Entropy, 2021
The thousand grain weight is an index of size, fullness and quality in crop seed detection and is an important basis for field yield prediction. To detect the thousand grain weight of rice requires the accurate counting of rice.
Ao Feng, Hongxiang Li, Zixi Liu, Yuanjiang Luo, Haibo Pu, Bin Lin, Tao Liu   +6 more
doaj   +2 more sources

A density map-based method for counting wheat ears [PDF]

Frontiers in Plant Science
IntroductionField wheat ear counting is an important step in wheat yield estimation, and how to solve the problem of rapid and effective wheat ear counting in a field environment to ensure the stability of food supply and provide more reliable data ...
Guangwei Zhang, Guangwei Zhang, Zhichao Wang, Zhichao Wang, Bo Liu, Bo Liu, Limin Gu, Limin Gu, Limin Gu, Wenchao Zhen, Wenchao Zhen, Wenchao Zhen, Wei Yao, Wei Yao, Wei Yao   +14 more
doaj   +2 more sources

Temporal Topology Density Map

IEEE Access, 2023
Spatiotemporal data visualization is of paramount importance in several applications, especially for analyzing urban mobility data encoded on topologies. This paper introduces a novel solution, called Temporal Topology Density Map (TTDM), to represent 2D
Zhicheng Hu, Amirabbas Hojjati, Amirashkan Haghshenas, Agus Hasan, Ricardo Da Silva Torres   +4 more
doaj   +2 more sources

Self-normalized density map (SNDM) for counting microbiological objects [PDF]

Scientific Reports, 2022
The statistical properties of the density map (DM) approach to counting microbiological objects on images are studied in detail. The DM is given by U $$^2$$ 2 -Net.
Krzysztof M. Graczyk, Jarosław Pawłowski, Sylwia Majchrowska, Tomasz Golan   +3 more
doaj   +2 more sources

Is It Conjugated or Not? The Theoretical and Experimental Electron Density Map of Bonding in p-CH₃CH₂COC₆H₄-C≡C-C≡C-p-C₆H₄COCH₃CH₂ [PDF]

Molecules, 2020
The electron density of p-CH3CH2COC6H4-C≡CC≡C-p-C6H4COCH3CH2 has been investigated on the basis of single-crystal X-ray diffraction data collected to high resolution at 100 K and from theoretical calculations.
Przemysław Starynowicz, Sławomir Berski, Nurbey Gulia, Karolina Osowska, Tadeusz Lis, Sławomir Szafert   +5 more
doaj   +2 more sources

Analytical Differentiable Finite-Resolution Density Map Calculation in CCTBX/Phenix [PDF]

Structural Dynamics
Beyond validation, publication, and other analyses, the final stage of structure determination using cryo-EM typically involves atomic model refinement against experimental data.
Pavel Afonine, Paul Adams, Alexandre Urzhumtsev   +2 more
doaj   +2 more sources

Exact maps in density functional theory for lattice models

New Journal of Physics, 2016
In the present work, we employ exact diagonalization for model systems on a real-space lattice to explicitly construct the exact density-to-potential and graphically illustrate the complete exact density-to-wavefunction map that underly the Hohenberg ...
Tanja Dimitrov, Heiko Appel, Johanna I Fuks, Angel Rubio   +3 more
doaj   +2 more sources

MSCA-UNet: Multi-Scale Convolutional Attention UNet for Automatic Cell Counting Using Density Regression

IEEE Access, 2023
The quantification of cell numbers in microscopy images plays a vital role in biomedical research and medical diagnosis. Presently, deep regression networks are widely employed to generate cell density maps, and the number of cells is obtained by ...
Like Qian, Wei Qian, Dingcheng Tian, Yaqi Zhu, Heng Zhao, Yudong Yao   +5 more
doaj   +1 more source

Beyond the Backbone: The Next Generation of Pathwalking Utilities for Model Building in CryoEM Density Maps

Biomolecules, 2022
Single-particle electron cryomicroscopy (cryoEM) has become an indispensable tool for studying structure and function in macromolecular assemblies. As an integral part of the cryoEM structure determination process, computational tools have been developed
Corey F. Hryc, Matthew L. Baker
doaj   +1 more source

A Two-Path Network for Cell Counting

IEEE Access, 2021
The density map is an effective manner to infer how many cells a cell image contains, and it carries valuable information. However, a fine-grained density map requires rich spatial information to recover the distribution details.
Ni Jiang, Feihong Yu
doaj   +1 more source