A review on bayesian deep learning in healthcare: Applications and challenges

AA Abdullah, MM Hassan, YT Mustafa - IEEe Access, 2022 - ieeexplore.ieee.org
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 …

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 …

[HTML][HTML] Evolving Generative Adversarial Networks to improve image steganography

A Martín, A Hernández, M Alazab, J Jung… - Expert Systems with …, 2023 - Elsevier
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 …

A cross-view intelligent person search method based on multi-feature constraints

J Zhu, J Zhang, H Chen, Y **e, H Gu… - International Journal of …, 2024 - Taylor & Francis
Person searches aim to simultaneously locate and identify persons to be queried from
different scenes, which is crucial for disaster emergency management and public safety …

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 …

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 …

Studying complex evolution of hyperelastic materials under external field stimuli using artificial neural networks with spatiotemporal features in a small‐scale dataset

S Yu, H Chai, Y **ong, M Kang, C Geng… - Advanced …, 2022 - Wiley Online Library
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 …

Mining and reasoning of data uncertainty-induced imprecision in deep image classification

Z Zhang, L Ning, Z Liu, Q Yang, W Ding - Information Fusion, 2023 - Elsevier
Existing deep image classification techniques strive to suppress data uncertainty for various
reasons such as blur, occlusion, noise, and label error and advance to higher accuracy …

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 …