Results 11 to 20 of about 846,784 (276)

Filling the Gaps in Atrous Convolution: Semantic Segmentation With a Better Context

open access: yesIEEE Access, 2020
The main challenge for scene parsing arises when complex scenes with highly diverse objects are encountered. The objects not only differ in scale and appearance but also in semantics.
Liyuan Liu   +5 more
doaj   +1 more source

Similarity optimization of reduced-scale model tests on break of homogeneous clay dam due to overtopping

open access: yesYantu gongcheng xuebao, 2023
The reduced-scaled physical model test under the conventional gravity of 1g is an important and common method for analyzing failure of embankment dams due to overtopping.
LIN Hai 1, 2, NIE Teng 1, ZHOU Chuangbing 1, 2
doaj   +1 more source

Dilated convolution capsule network for apple leaf disease identification

open access: yesFrontiers in Plant Science, 2022
Accurate and rapid identification of apple leaf diseases is the basis for preventing and treating apple diseases. However, it is challenging to identify apple leaf diseases due to their various symptoms, different colors, irregular shapes, uneven sizes ...
Cong Xu, Xuqi Wang, Shanwen Zhang
doaj   +1 more source

DISubNet: Depthwise Separable Inception Subnetwork for Pig Treatment Classification Using Thermal Data

open access: yesAnimals, 2023
Thermal imaging is increasingly used in poultry, swine, and dairy animal husbandry to detect disease and distress. In intensive pig production systems, early detection of health and welfare issues is crucial for timely intervention. Using thermal imaging
Savina Jassica Colaco   +4 more
doaj   +1 more source

Time Series Classification with InceptionFCN

open access: yesSensors, 2021
Deep neural networks (DNN) have proven to be efficient in computer vision and data classification with an increasing number of successful applications. Time series classification (TSC) has been one of the challenging problems in data mining in the last ...
Saidrasul Usmankhujaev   +3 more
doaj   +1 more source

Asymmetric Ensemble of Asymmetric U-Net Models for Brain Tumor Segmentation With Uncertainty Estimation

open access: yesFrontiers in Neurology, 2021
Accurate brain tumor segmentation is crucial for clinical assessment, follow-up, and subsequent treatment of gliomas. While convolutional neural networks (CNN) have become state of the art in this task, most proposed models either use 2D architectures ...
Sarahi Rosas-Gonzalez   +4 more
doaj   +1 more source

Novel Approach to Automatic Traffic Sign Inventory Based on Mobile Mapping System Data and Deep Learning

open access: yesRemote Sensing, 2020
Traffic signs are a key element in driver safety. Governments invest a great amount of resources in maintaining the traffic signs in good condition, for which a correct inventory is necessary.
Jesús Balado   +3 more
doaj   +1 more source

Separate and Integrated Data Processing for the 3D Reconstruction of a Complex Architecture [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
In the last few years, data fusion has been an active research topic for the expected advantages of exploiting and combining different but complementary techniques for 3D documentation.
M. Medici   +5 more
doaj   +1 more source

Integrated Damage Location Diagnosis of Frame Structure Based on Convolutional Neural Network with Inception Module

open access: yesSensors, 2022
Accurate damage location diagnosis of frame structures is of great significance to the judgment of damage degree and subsequent maintenance of frame structures.
Jianhua Ren   +3 more
doaj   +1 more source

Viscous Effects in the Inception of Cavitation on Axisymmetric Bodies [PDF]

open access: yes, 1973
Cavitation inception and development on two axisymmetric bodies was studied with the aid of a Schlieren flow visualization method developed for that purpose. Both bodies were found to exhibit a laminar boundary layer separation; cavitation inception was
Acosta, A. J., Arakeri, V. H.
core   +2 more sources

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