Results 91 to 100 of about 5,195 (203)

Conceptual DFT-Based Computational Peptidology of Marine Natural Compounds: Discodermins A–H

Molecules, 2020
A methodology based on the concepts that arise from Density Functional Theory named Conceptual Density Functional Theory (CDFT) was chosen for the calculation of some global and local reactivity descriptors of the Discodermins A–H family of marine ...
Norma Flores-Holguín, Juan Frau, Daniel Glossman-Mitnik   +2 more
doaj   +1 more source

New Variables for Classical and Quantum Gravity in all Dimensions IV. Matter Coupling [PDF]

, 2013
We employ the techniques introduced in the companion papers to derive a connection formulation of Lorentzian General Relativity coupled to Dirac fermions in dimensions D+1 > 2 with compact gauge group.
Bodendorfer, Norbert, Thiemann, Thomas, Thurn, Andreas   +2 more
core   +1 more source

Helicopter Pilot Performance for Discrete-maneuver Flight Tasks [PDF]

, 1984
This paper describes a current study of several basic helicopter flight maneuvers. The data base consists of in-flight measurements from instrumented helicopters using experienced pilots. The analysis technique is simple enough to apply without automatic
Bourne, S. M., Heffley, R. K., Hindson, W. S.   +2 more
core   +1 more source

Dual‐branch Transformer for semi‐supervised medical image segmentation

Journal of Applied Clinical Medical Physics, Volume 25, Issue 10, October 2024.
Abstract Purpose In recent years, the use of deep learning for medical image segmentation has become a popular trend, but its development also faces some challenges. Firstly, due to the specialized nature of medical data, precise annotation is time‐consuming and labor‐intensive.
Xiaojie Huang, Yating Zhu, Minghan Shao, Ming Xia, Xiaoting Shen, Pingli Wang, Xiaoyan Wang   +6 more
wiley   +1 more source

Incorporating working conditions to a mixed- model sequencing problem [PDF]

, 2014
Partiendo de una variante de un problema de secuenciación en líneas de productos mixtos (MMSP-W: Mixed-Model Sequencing Problem with Workload Minimisation), se proponen dos nuevos modelos que incorporan condiciones laborales a los puestos de trabajo de ...
Alfaro Pozo, Rocío, Batalla García, Cristina, Bautista Valhondo, Joaquín, Llovera Laborda, Sara   +3 more
core   +1 more source

Intracranial hematoma segmentation on head CT based on multiscale convolutional neural network and transformer

IET Image Processing, Volume 18, Issue 12, Page 3480-3495, 16 October 2024.
To accurately segment intracranial hematoma regions, we propose an encoding‐decoding architecture combining CNN and Transformer that is capable of segmenting four different types of ICH. The authors achieved 87.05% of mIoU, 93.00% of mAP, 92.73% of TPR, and 92.86% of DSC.
Guangyu Li, Kai Gao, Changlong Liu, Shanze Li   +3 more
wiley   +1 more source

CasUNeXt: A Cascaded Transformer With Intra‐ and Inter‐Scale Information for Medical Image Segmentation

International Journal of Imaging Systems and Technology, Volume 34, Issue 5, September 2024.
ABSTRACT Due to the Transformer's ability to capture long‐range dependencies through Self‐Attention, it has shown immense potential in medical image segmentation. However, it lacks the capability to model local relationships between pixels. Therefore, many previous approaches embedded the Transformer into the CNN encoder. However, current methods often
Junding Sun, Xiaopeng Zheng, Xiaosheng Wu, Chaosheng Tang, Shuihua Wang, Yudong Zhang   +5 more
wiley   +1 more source

Feature ensemble network for medical image segmentation with multi‐scale atrous transformer

IET Image Processing, Volume 18, Issue 11, Page 3082-3092, 18 September 2024.
We propose the feature ensemble network with multi‐scale atrous transformer. At the core of our approach lies the multi‐scale contextual integration module, which is based on the multi‐scale atrous transformer and facilitates contextual integration of multi‐level features.
Di Gai, Yuhan Geng, Xia Huang, Zheng Huang, Xin Xiong, Ruihua Zhou, Qi Wang   +6 more
wiley   +1 more source

Rapid Measurements of Damaged Areas and Cavities Formed on Highways Caused by Heavy Rain Falls, Earthquakes or Similar Catastrophes

Selected Scientific Papers: Journal of Civil Engineering
An abnormal damaged area and the volume of a deep cavity formed underneath this area on a highway cannot be measured correctly by any of the existing methods.
Bhattacharya Syama P., Ghosh Asis
doaj   +1 more source

Chemical-Reactivity Properties, Drug Likeness, and Bioactivity Scores of Seragamides A–F Anticancer Marine Peptides: Conceptual Density Functional Theory Viewpoint

Computation, 2019
A methodology based on concepts that arose from Density Functional Theory (CDFT) was chosen for the calculation of global and local reactivity descriptors of the Seragamide family of marine anticancer peptides.
Norma Flores-Holguín, Juan Frau, Daniel Glossman-Mitnik   +2 more
doaj   +1 more source