A review on bayesian deep learning in healthcare: Applications and challenges
In the last decade, Deep Learning (DL) has revolutionized the use of artificial intelligence,
and it has been deployed in different fields of healthcare applications such as image …
and it has been deployed in different fields of healthcare applications such as image …
Wheat fusarium head blight automatic non-destructive detection based on multi-scale imaging: A technical perspective
G Feng, Y Gu, C Wang, Y Zhou, S Huang, B Luo - Plants, 2024 - mdpi.com
Fusarium head blight (FHB) is a major threat to global wheat production. Recent reviews of
wheat FHB focused on pathology or comprehensive prevention and lacked a summary of …
wheat FHB focused on pathology or comprehensive prevention and lacked a summary of …
[HTML][HTML] Evolving Generative Adversarial Networks to improve image steganography
Images have been repeatedly used as the perfect environment to hide information through
the use of steganography techniques. Whether messages, documents or even other images …
the use of steganography techniques. Whether messages, documents or even other images …
Spectrum-image dual-modality fusion empowered accurate and efficient classification system for traditional Chinese medicine
A Gong, L Guo, Y Yu, Y **a, X Deng, Z Hu - Information Fusion, 2024 - Elsevier
Traditional Chinese medicine (TCM) influences the Chinese and global medical systems,
with its quality essential to its effectiveness. The origin of TCM material impacts the quality of …
with its quality essential to its effectiveness. The origin of TCM material impacts the quality of …
Studying complex evolution of hyperelastic materials under external field stimuli using artificial neural networks with spatiotemporal features in a small‐scale dataset
Abstract Deep‐learning (DL) methods, in consideration of their excellence in dealing with
highly complex structure–performance relationships for materials, are expected to become a …
highly complex structure–performance relationships for materials, are expected to become a …
System for the recognizing of pigmented skin lesions with fusion and analysis of heterogeneous data based on a multimodal neural network
Simple Summary Skin cancer is one of the most common cancers in humans. This study
aims to create a system for recognizing pigmented skin lesions by analyzing heterogeneous …
aims to create a system for recognizing pigmented skin lesions by analyzing heterogeneous …
ResNet and MaxEnt modeling for quality assessment of Wolfiporia cocos based on FT-NIR fingerprints
YY Zhang, T Shen, ZT Zuo, YZ Wang - Frontiers in Plant Science, 2022 - frontiersin.org
As a fungus with both medicinal and edible value, Wolfiporia cocos (FA Wolf) Ryvarden &
Gilb. has drawn more public attention. Chemical components' content fluctuates in wild and …
Gilb. has drawn more public attention. Chemical components' content fluctuates in wild and …
DeepFace-Attention: Multimodal Face Biometrics for Attention Estimation with Application to e-Learning
This work introduces an innovative method for estimating attention levels (cognitive load)
using an ensemble of facial analysis techniques applied to webcam videos. Our method is …
using an ensemble of facial analysis techniques applied to webcam videos. Our method is …
Fine-grained weed recognition using Swin Transformer and two-stage transfer learning
Y Wang, S Zhang, B Dai, S Yang, H Song - Frontiers in Plant Science, 2023 - frontiersin.org
Weeding is very critical for agriculture due to its importance for reducing crop yield loss.
Accurate recognition of weed species is one of the major challenges for achieving automatic …
Accurate recognition of weed species is one of the major challenges for achieving automatic …
An analysis of medical images using deep learning
The use of AI models in health care system and the life sciences is expanding. In this paper,
we will take a look at the present state of the art and address the unanswered issues …
we will take a look at the present state of the art and address the unanswered issues …