Results 61 to 70 of about 14,679 (231)

HEAL-SWIN: A Vision Transformer On The Sphere

open access: yes, 2023
High-resolution wide-angle fisheye images are becoming more and more important for robotics applications such as autonomous driving. However, using ordinary convolutional neural networks or vision transformers on this data is problematic due to ...
Carlsson, Oscar   +6 more
core  

Edge Information‐Augmented Auxiliary Diagnosis Method for Cervical Cancer in Medical Decision‐Making Systems

open access: yesAdvanced Intelligent Systems, EarlyView.
To address the problems of insufficient utilization of multiscale features and inefficient feature sharing between tasks in the model, this study proposes an edge‐enhanced intelligent cervical cancer screening method that achieves feature reuse and improves efficiency by jointly optimizing nucleolus segmentation and lesion classification.
Li Wen   +4 more
wiley   +1 more source

Dynamic fracture-initation toughness determination of AI 7075-T651 aluminum alloy [PDF]

open access: yes, 2007
We present values of the static and dynamic fracture-initiation toughness at different loading rates of the aluminum alloy Al 7075-T651 obtained on three-point bend specimens with different thicknesses and initial crack lengths. In static conditions, the
Fernández Sáez, José   +1 more
core   +2 more sources

Swin-transformer-yolov5 For Real-time Wine Grape Bunch Detection

open access: yes, 2022
In this research, an integrated detection model, Swin-transformer-YOLOv5 or Swin-T-YOLOv5, was proposed for real-time wine grape bunch detection to inherit the advantages from both YOLOv5 and Swin-transformer.
He, Zixaun   +5 more
core   +1 more source

Building an Intelligent Cardiovascular System Platform: Embedding Artificial Intelligence across All Facets of Cardiovascular Medicine

open access: yesAdvanced Intelligent Systems, EarlyView.
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong   +4 more
wiley   +1 more source

Combining transformer and CNN for object detection in UAV imagery

open access: yesICT Express, 2023
Combining multiple models is a well-known technique to improve predictive performance in challenging tasks such as object detection in UAV imagery. In this paper, we propose fusion of transformer-based and convolutional neural network-based (CNN) models ...
Willy Fitra Hendria   +3 more
doaj   +1 more source

Using Deep Learning Conditional Value‐at‐Risk Based Utility Function in Cryptocurrency Portfolio Optimisation

open access: yesInternational Journal of Finance &Economics, EarlyView.
ABSTRACT One of the critical risks associated with cryptocurrency assets is the so‐called downside risk, or tail risk. Conditional Value‐at‐Risk (CVaR) is a measure of tail risks that is not normally considered in the construction of a cryptocurrency portfolio.
Xinran Huang   +3 more
wiley   +1 more source

Evaluation and Comparison of Semantic Segmentation Networks for Rice Identification Based on Sentinel-2 Imagery

open access: yesRemote Sensing, 2023
Efficient and accurate rice identification based on high spatial and temporal resolution remote sensing imagery is essential for achieving precision agriculture and ensuring food security.
Huiyao Xu, Jia Song, Yunqiang Zhu
doaj   +1 more source

Brain Tumor Detection using Swin Transformers

open access: yes, 2023
The first MRI scan was done in the year 1978 by researchers at EML Laboratories. As per an estimate, approximately 251,329 people died due to primary cancerous brain and CNS (Central Nervous System) Tumors in the year 2020. It has been recommended by various medical professionals that brain tumor detection at an early stage would help in saving many ...
Meshram, Prateek A.   +2 more
openaire   +2 more sources

GraphReco: Probabilistic Structure Recognition for Chemical Molecules

open access: yesChemistryOpen, EarlyView.
Molecule structure images are unfriendly for machine understanding, blocking productivity improvements in chemical data mining, drug discovery, and many other fields. We present a rule‐based probabilistic Optical Chemical Structure Recognition model to explain and tackle the ambiguity challenges in graph assembly.
Haidong Wang   +2 more
wiley   +1 more source

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