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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 …
A cross-view intelligent person search method based on multi-feature constraints
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 …
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 …
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 …
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
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 …
Mining and reasoning of data uncertainty-induced imprecision in deep image classification
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 …
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 …
Gilb. has drawn more public attention. Chemical components' content fluctuates in wild and …