Results 11 to 20 of about 695,054 (265)

Newly graduated dentists’ knowledge of temporomandibular disorders compared to specialists in Saudi Arabia

open access: yesBMC Oral Health, 2020
Background General dentists are often the first healthcare professionals to see patients with orofacial pain (OFP). OFP conditions associated with the temporomandibular joint are often confused with dentoalveolar disorders, which leads to mismanagement ...
Haila A. Al-Huraishi   +5 more
doaj   +1 more source

iNitroY-Deep: Computational Identification of Nitrotyrosine Sites to Supplement Carcinogenesis Studies Using Deep Learning

open access: yesIEEE Access, 2021
In biological systems, Nitration is a crucial post-translational modification which occurs on various amino acids. Nitration of Tyrosine is regarded as nitorsative stress biomarker resulting in the formation of peroxynitrite and other reactive and ...
Sheraz Naseer   +3 more
doaj   +1 more source

Bag-of-Deep-Features: Noise-Robust Deep Feature Representations for Audio Analysis [PDF]

open access: yes2018 International Joint Conference on Neural Networks (IJCNN), 2018
In the era of deep learning, research into the classification of various components of the acoustic environment, especially in-the-wild recordings, is gaining in popularity. This is due in part to the increasing computational capacities and the expanding amount of real-world data available on social multimedia.
Shahin Amiriparian   +5 more
openaire   +1 more source

Fusion of deep and shallow features for face recognition

open access: yesDianzi Jishu Yingyong, 2020
The traditional method for feature extraction contains limited discriminant features, and the deep learning method need lots of labeled data and it′s time-consuming.
Zhao Shuhuan
doaj   +1 more source

Realizing Data Features by Deep Nets [PDF]

open access: yesIEEE Transactions on Neural Networks and Learning Systems, 2020
This paper considers the power of deep neural networks (deep nets for short) in realizing data features. Based on refined covering number estimates, we find that, to realize some complex data features, deep nets can improve the performances of shallow neural networks (shallow nets for short) without requiring additional capacity costs.
Zheng-Chu Guo, Lei Shi 0010, Shao-Bo Lin
openaire   +3 more sources

Deep Feature Fusion and Optimization-Based Approach for Stomach Disease Classification

open access: yesSensors, 2022
Cancer is the deadliest disease among all the diseases and the main cause of human mortality. Several types of cancer sicken the human body and affect organs.
Farah Mohammad, Muna Al-Razgan
doaj   +1 more source

End-to-End Correlation Tracking With Enhanced Multi-Level Feature Fusion

open access: yesIEEE Access, 2021
Discriminative correlation filters (DCF) have drawn increasing interest in visual tracking. In particular, a few recent works treat DCF as a special layer and add it into a Siamese network for visual tracking. However, most of them adopt shallow networks
Guangen Liu, Guizhong Liu
doaj   +1 more source

Deep structured features for semantic segmentation [PDF]

open access: yes2017 25th European Signal Processing Conference (EUSIPCO), 2017
We propose a highly structured neural network architecture for semantic segmentation with an extremely small model size, suitable for low-power embedded and mobile platforms. Specifically, our architecture combines i) a Haar wavelet-based tree-like convolutional neural network (CNN), ii) a random layer realizing a radial basis function kernel ...
Michael Tschannen   +4 more
openaire   +2 more sources

Classification of Lung Sounds With CNN Model Using Parallel Pooling Structure

open access: yesIEEE Access, 2020
The recognition of various lung sounds recorded using electronic stethoscopes plays a significant role in the early diagnoses of respiratory diseases.
Fatih Demir   +2 more
doaj   +1 more source

Early Detection of Mold-Contaminated Peanuts Using Machine Learning and Deep Features Based on Optical Coherence Tomography

open access: yesAgriEngineering, 2021
Fungal infection is a pre-harvest and post-harvest crisis for farmers of peanuts. In environments with temperatures around 28 °C to 30 °C or relative humidity of approximately 90%, mold-contaminated peanuts have a considerable likelihood to be infected ...
Edwin Manhando, Yang Zhou, Fenglin Wang
doaj   +1 more source

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