Results 51 to 60 of about 6,422,664 (364)

Conveyor Belt Damage Detection with the Use of a Two-Layer Neural Network

Applied Sciences, 2021
Non-invasive conveyor belt diagnostics in damage detection allows significant reductions of the costs related to belt replacement, as well as the evaluation of belt usability and wear degree changes over time.
Agata Kirjanów-Błażej, Aleksandra Rzeszowska   +1 more
doaj   +1 more source

Review of Automatic Detection and Classification Techniques for Cetacean Vocalization

IEEE Access, 2020
Cetaceans have elicited the attention of researchers in recent decades due to their importance to the ecosystem and their economic values. They use sound for communication, echolocation and other social activities. Their sounds are highly non-stationary,
A. M. Usman, O. Ogundile, D. Versfeld
semanticscholar   +1 more source

Deep Learning Enables Automatic Detection and Segmentation of Brain Metastases on Multisequence MRI [PDF]

Journal of Magnetic Resonance Imaging, 2019
Detecting and segmenting brain metastases is a tedious and time‐consuming task for many radiologists, particularly with the growing use of multisequence 3D imaging.
E. Grøvik, Darvin Yi, Michael Iv, E. Tong, D. Rubin, G. Zaharchuk   +5 more
semanticscholar   +1 more source

Retinopathy online challenge: automatic detection of microaneurysms in digital color fundus photographs.

, 2010
Contains fulltext : 89373.pdf (Publisher’s version ) (Open Access)The detection of microaneurysms in digital color fundus photographs is a critical first step in automated screening for diabetic retinopathy (DR), a common complication ...
Li, Q., Hiroshi Fujita, Karray, F., Mizutani, A, Hatanaka, Y, Abramoff, Michael D., Jane You, Roberto Hornero Member, Chisako Muramatsu, Quellec, G., Cochener, B, Cazuguel, G., Atsushi Mizutani, Hornero, R., Roux, Christian, van Ginneken, Bram, Cazuguel, Guy, You, Jane, Cochener, Beatrice, Quellec, Gwenole, Van Ginneken, B, Muramatsu, C., Lamard, M., Michael D. Abràmoff, Karray, Fakhri, Bob Zhang, Niemeijer, M., Fujita, H, Hatanaka, Y., Garc?a, M, Abramoff, M.D., Michael J. Cree Senior Member, Wu, X., S?nchez, CI, Roux, C., Quellec, G, Mizutani, A., Hatanaka, Yuji, Lamard, M, Hornero, Roberto, Niemeijer, M, Mayo, Augustin, Yuji Hatanaka, Christian Roux, Sanchez, Clara I., Hornero, R, You, J, Mayo, Agustin, Li, Qin, Zhang, Bob, Garcia, M., Fakhri Karray, Fujita, H., Cree, M.J., Lamard, Mathieu, Wu, Xiangqian, Zhang, B., García, María, Clara I. Sánchez Member, Sanchez, C.I., Fujita, Hiroshi, Niemeijer, Meindert, Guy Cazuguel Member, Meindert Niemeijer, Senior Member, Abr?moff, MD, Roux, C, Karray, F, Wu, Q, Mayo, A, Mathieu Lamard, Mayo, A., Mizutani, Atsushi, Bram Van Ginneken, Muramatsu, C, Muramatsu, Chisako, You, J., Cree, MJ, Cochener, B., Qin Li, Zhang, B, Xiangqian Wu, Student Member, Ginneken, B. van, Cazuguel, G, Cree, Michael J., Li, Q   +86 more
core   +1 more source

Automatic wheeze detection based on auditory modelling [PDF]

, 2005
Automatic wheeze detection has several potential benefits compared with reliance on human auscultation: it is experience independent, an automated historical record can easily be kept, and it allows quantification of wheeze severity. Previous attempts to
Y Qiu, Lucas, M.L., Whittaker, A.R., K Anderson, A R Whittaker, M Lucas, Anderson, K., Qiu, Y.   +7 more
core   +1 more source

Detection of Curvilinear Structure in Images by a Multi-Centered Hough Forest Method

IEEE Access, 2018
Automatic detection of curvilinear structure in images is a challenging task in computer vision applications. In this paper, we present a novel supervised learning method to identify curvilinear structure based on a modified Hough forest framework.
Hanjin Zhang, Yang Yang, Hongbin Shen
doaj   +1 more source

Performance Optimization of Joint STAR-RIS- and MA-Aided Wireless Communication Systems in Coal Mine Scenarios

Telecom
Wireless links in underground coal mines suffer from severe attenuation, blockage, and limited spatial coverage. To improve link quality under these conditions, we study a simultaneously transmitting and reflecting reconfigurable intelligent surface ...
Yuxin Xia, Yuanchao Yan, Xianzhong Li, Yandong Zhao, Weimin Liu, Tianhao Guo   +5 more
doaj   +1 more source

A pavement damage location algorithm based on machine vision distance compensation

Dianzi Jishu Yingyong, 2018
The real-time and accurate automatic detection technology of road surface damage has important significance for highway management and maintenance. This paper combines the FPGA-based pavement damage detection system to research the positioning accuracy ...
Miao Chengyu, Li Peng, Zhang Jingrong, Gu Binbin, Jiang Wei   +4 more
doaj   +1 more source

Sleep: An Open-Source Python Software for Visualization, Analysis, and Staging of Sleep Data

Frontiers in Neuroinformatics, 2017
We introduce Sleep, a new Python open-source graphical user interface (GUI) dedicated to visualization, scoring and analyses of sleep data. Among its most prominent features are: (1) Dynamic display of polysomnographic data, spectrogram, hypnogram and ...
Etienne Combrisson, Etienne Combrisson, Raphael Vallat, Jean-Baptiste Eichenlaub, Christian O'Reilly, Tarek Lajnef, Tarek Lajnef, Aymeric Guillot, Perrine M. Ruby, Karim Jerbi   +9 more
doaj   +1 more source

An approach to the diagnosis of lumbar disc herniation using deep learning models

Frontiers in Bioengineering and Biotechnology, 2023
Background: In magnetic resonance imaging (MRI), lumbar disc herniation (LDH) detection is challenging due to the various shapes, sizes, angles, and regions associated with bulges, protrusions, extrusions, and sequestrations.
Ardha Ardea Prisilla, Ardha Ardea Prisilla, Yue Leon Guo, Yue Leon Guo, Yue Leon Guo, Yih-Kuen Jan, Chih-Yang Lin, Fu-Yu Lin, Ben-Yi Liau, Jen-Yung Tsai, Peter Ardhianto, Yori Pusparani, Yori Pusparani, Chi-Wen Lung, Chi-Wen Lung   +14 more
doaj   +1 more source