Results 61 to 70 of about 6,343,053 (206)

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Segmentation-Assisted Fully Convolutional Neural Network Enhances Deep Learning Performance to Identify Proliferative Diabetic Retinopathy

Journal of Clinical Medicine, 2023
With the progression of diabetic retinopathy (DR) from the non-proliferative (NPDR) to proliferative (PDR) stage, the possibility of vision impairment increases significantly.
Minha Alam, Emma J. Zhao, Carson K. Lam, D. Rubin   +3 more
semanticscholar   +1 more source

Staircase detection using a lightweight look-behind fully convolutional neural network

, 2019
Staircase detection in natural images has several applications in the context of robotics and visually impaired navigation. Previous works are mainly based on handcrafted feature extraction and supervised learning using fully annotated images.
Diamantis D.E., Koutsiou D.-C.C., Iakovidis D.K.
core   +1 more source

Face recognition for occluded face with mask region convolutional neural network and fully convolutional network: a literature review [PDF]

, 2023
Face recognition technology has been used in many ways, such as in the authentication and identification process. The object raised is a piece of face image that does not have complete facial information (occluded face), it can be due to acquisition from
Retantyo Wardoyo, Budiarsa, Rahmat, Musdholifah, Aina, Aina Musdholifah, Rahmat Budiarsa, Wardoyo, Retantyo   +5 more
core   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Automated diabetic retinopathy grading and lesion detection based on the modified R‐FCN object‐detection algorithm

IET Computer Vision, 2020
In this work, we develop a computer‐aided retinal image screening system that can perform automated diabetic retinopathy (DR) grading and DR lesion detection in retinal fundus images.
Jialiang Wang, Jianxu Luo, Bin Liu, Rui Feng, Lina Lu, Haidong Zou   +5 more
doaj   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Sea Ice Concentration Estimation: Using Passive Microwave and SAR Data With a U-Net and Curriculum Learning

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Ice concentration estimates are typically acquired from algorithms using passive microwave satellite data, and from image analysis charts, but these have limitations. Estimates acquired from passive microwave data have coarse spatial resolution, may have
Keerthijan Radhakrishnan, K. Andrea Scott, David A. Clausi   +2 more
doaj   +1 more source

Dewarping Document Image by Displacement Flow Estimation with Fully Convolutional Network [PDF]

International Workshop on Document Analysis Systems, 2020
As camera-based documents are increasingly used, the rectification of distorted document images becomes a need to improve the recognition performance. In this paper, we propose a novel framework for both rectifying distorted document image and removing ...
Guo-Wang Xie, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu   +3 more
semanticscholar   +1 more source

Diagnosis of Portal Hypertension: Advancing Towards Non‐Invasive Solutions

Portal Hypertension &Cirrhosis, EarlyView.
This review systematically summarizes a full spectrum of non‐invasive diagnostic approaches for portal hypertension (PH), including imaging modalities, elastography, serum biomarkers, composite scoring systems and endoscopic ultrasound‐guided portal pressure gradient (EUS‐PPG), and analyzes their performance across different liver disease etiologies ...
Lijia Yin, Huikuan Chu, Ling Yang
wiley   +1 more source