Zobrazeno 1 - 10
of 1 487
pro vyhledávání: '"Deep features"'
Publikováno v:
Alexandria Engineering Journal, Vol 109, Iss , Pp 112-125 (2024)
Alzheimer disease is a neurological disorder that affects the elderly, caused by abnormal protein buildup in the brain. It leads to difficulties such as financial mismanagement, disorientation, behavioral changes, and repetitive speech. The existing
Externí odkaz:
https://doaj.org/article/410d286036ae431e9ad637f330ccda1a
Publikováno v:
Shipin yu jixie, Vol 40, Iss 7, Pp 117-125,182 (2024)
[Objective] Achieving non-destructive testing of sub-healthy watercore apples. [Methods] First, the logarithmic function method and the power function method proposed by this study were used to correct the sample spectra. Subsequently, the corrected
Externí odkaz:
https://doaj.org/article/8528599db3544aa5b820838a6db5b533
Autor:
Lichao Cui, Mingxin Liu
Publikováno v:
Egyptian Informatics Journal, Vol 27, Iss , Pp 100499- (2024)
The proliferation of medical imaging in clinical diagnostics has led to an overwhelming volume of image data, presenting a challenge for efficient storage, management, and retrieval. Specifically, the rapid growth in the use of imaging modalities suc
Externí odkaz:
https://doaj.org/article/d73ab2ed081849ec9a62eb59c3fec574
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 7867-7877 (2024)
As a tool for near-earth remote sensing, unmanned aerial vehicle (UAV) can be used to acquire images and data of the earth's surface. This provides a powerful support for Earth observation and resource management. Object tracking in UAV videos has be
Externí odkaz:
https://doaj.org/article/a082e144ea4a42c1a03d951309ddc470
Autor:
Eleftherios Trivizakis, Nikoletta-Maria Koutroumpa, John Souglakos, Apostolos Karantanas, Michalis Zervakis, Kostas Marias
Publikováno v:
BioMedical Engineering OnLine, Vol 22, Iss 1, Pp 1-18 (2023)
Abstract Background Multi-omics research has the potential to holistically capture intra-tumor variability, thereby improving therapeutic decisions by incorporating the key principles of precision medicine. The purpose of this study is to identify a
Externí odkaz:
https://doaj.org/article/542e4cc7c8e9449ca8407bffbbdc35bd
Autor:
Hongxia Zheng, Yulin Wu, Haifeng Han, Juan Wang, Shanwei Liu, Mingming Xu, Jianyong Cui, Muhammad Yasir
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
Nitrogen is one of the critical factors in water pollution and eutrophication, so applying the deep learning method in remote sensing inversion of nitrogen can provide basic information for environmental management. This paper proposes a two-step fea
Externí odkaz:
https://doaj.org/article/2770ce2baf2f4445b3d2bac774584b59
Autor:
Hasan Khanfari, Saeed Mehranfar, Mohsen Cheki, Mahmoud Mohammadi Sadr, Samir Moniri, Sahel Heydarheydari, Seyed Masoud Rezaeijo
Publikováno v:
BMC Medical Imaging, Vol 23, Iss 1, Pp 1-13 (2023)
Abstract Background The purpose of this study is to investigate the use of radiomics and deep features obtained from multiparametric magnetic resonance imaging (mpMRI) for grading prostate cancer. We propose a novel approach called multi-flavored fea
Externí odkaz:
https://doaj.org/article/4b7273404f2c4cbdb4690c9b760b4736
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-22 (2023)
Abstract Real-time object tracking and occlusion handling are critical research areas in computer vision and machine learning. Developing an efficient and accurate object-tracking method that can operate in real-time while handling occlusion is essen
Externí odkaz:
https://doaj.org/article/056ae22dc8f04611895e0e57218e3e87
Autor:
Salar Bijari, Sahar Sayfollahi, Shiwa Mardokh-Rouhani, Sahar Bijari, Sadegh Moradian, Ziba Zahiri, Seyed Masoud Rezaeijo
Publikováno v:
Bioengineering, Vol 11, Iss 7, p 643 (2024)
This study evaluates the reproducibility of machine learning models that integrate radiomics and deep features (features extracted from a 3D autoencoder neural network) to classify various brain hemorrhages effectively. Using a dataset of 720 patient
Externí odkaz:
https://doaj.org/article/cfbda9ff25e84c69ace4c0c0b800d45c
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4949 (2024)
Visual SLAM technology is one of the important technologies for mobile robots. Existing feature-based visual SLAM techniques suffer from tracking and loop closure performance degradation in complex environments. We propose the DFD-SLAM system to ensu
Externí odkaz:
https://doaj.org/article/597d30b46a0544e49edf397db914bf55