Results 31 to 40 of about 1,040 (193)

Finetuned Super-Resolution Generative Adversarial Network (Artificial Intelligence) Model for Calcium Deblooming in Coronary Computed Tomography Angiography

, 2022
The purpose of this study was to finetune a deep learning model, real-enhanced super-resolution generative adversarial network (Real-ESRGAN), and investigate its diagnostic value in calcified coronary plaques with the aim of suppressing blooming ...
Sun, Zhonghua, Ng, Curtise, Curtise K. C. Ng, Ng, Curtise K. C., Zhonghua Sun   +4 more
core   +2 more sources

Three-dimensional ESRGAN for super-resolution reconstruction of turbulent flows with tricubic interpolation-based transfer learning [PDF]

, 2022
[EN] Turbulence is a complicated phenomenon because of its chaotic behavior with multiple spatiotemporal scales. Turbulence also has irregularity and diffusivity, making predicting and reconstructing turbulence more challenging.
Lim, Hee-Chang, Hee-Chang Lim, Mustafa Z. Yousif, Yu, Linqi,, Meng Zhang, Hoyas, Sergio, Yousif, Mustafa Z.,, Yousif, Mustafa Z., Hoyas, Sergio,, Zhang, Meng,, Yu, Linqui, Vinuesa, Ricardo, Sergio Hoyas, Linqi Yu, Vinuesa, Ricardo,, Lim, Hee-Chang,, Zhang, Meng, Ricardo Vinuesa   +17 more
core   +1 more source

Sistem Inspeksi Cacat pada Permukaan Kayu menggunakan Model Deteksi Obyek YOLOv5

Jurnal Elkomika, 2022
ABSTRAK Permukaan kayu mengalami berbagai serangan serangga dan jamur, sehingga dapat menyebabkan cacat seperti pembusukan pada kayu yang berpengaruh terhadap kualitas dan harga jual kayu tersebut.
FITYANUL AKHYAR, LEDYA NOVAMIZANTI, TITA RIANTIARNI   +2 more
doaj   +1 more source

ESRGAN-BASED DEM SUPER-RESOLUTION FOR ENHANCED SLOPE DEFORMATION MONITORING IN LANTAU ISLAND OF HONG KONG [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Monitoring, evaluating and understanding the slopes by Interferometric Synthetic Aperture Rader (InSAR) technology are critical for both human economy and natural environment.
Z. Wu, Z. Wu, P. Ma, P. Ma
doaj   +1 more source

Deep Learning-Based Prediction of Diabetic Retinopathy Using CLAHE and ESRGAN for Enhancement

, 2023
Vision loss can be avoided if diabetic retinopathy (DR) is diagnosed and treated promptly. The main five DR stages are none, moderate, mild, proliferate, and severe. In this study, a deep learning (DL) model is presented that diagnoses all five stages of
Mamoona Humayun, Ghadah Alwakid, Walaa Gouda   +2 more
core   +1 more source

SEG-ESRGAN: A Multi-Task Network for Super-Resolution and Semantic Segmentation of Remote Sensing Images [PDF]

, 2022
The production of highly accurate land cover maps is one of the primary challenges in remote sensing, which depends on the spatial resolution of the input images.
Salgueiro, Luis, Marcello Ruiz, Javier, Luis Salgueiro, Marcello Ruiz, Francisco Javier, Verónica Vilaplana, Vilaplana Besler, Verónica, Vilaplana, Verónica, Salgueiro Romero, Luis Fernando, Javier Marcello   +8 more
core   +1 more source

Enhancing Precision with an Ensemble Generative Adversarial Network for Steel Surface Defect Detectors (EnsGAN-SDD)

Sensors, 2022
Defects are the primary problem affecting steel product quality in the steel industry. The specific challenges in developing detect defectors involve the vagueness and tiny size of defects.
Fityanul Akhyar, Elvin Nur Furqon, Chih-Yang Lin   +2 more
doaj   +1 more source

Enhancing Urban UAV Photogrammetric Products Through Domain-Specific Training of the Real-ESRGAN Super-Resolution Model [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
The growing demand for high-resolution geospatial data in urban environments necessitates advanced methods to improve the quality of spatial products derived from UAV photogrammetry. This study presents a deep learning–based framework for enhancing
M. Tavakoli, A. Eftekhari, M. SaadatSeresht, N. Jamshidpour   +3 more
doaj   +1 more source

PENINGKATAN RESOLUSI VIDEO MUSIK LAWAS INDONESIA MENGGUNAKAN REAL ESRGAN X4PLUS [PDF]

Video musik Indonesia lawas yang diproduksi pada era VCD umumnya memiliki kualitas visual rendah dan degradasi artefak yang signifikan. Penelitian ini mengevaluasi efektivitas model Real?ESRGAN?X4plus dalam meningkatkan resolusi video-video tersebut ...
Utami, Ema, Alfansani, Abdul Rauf, Ariatmanto, Dhani   +2 more
core   +1 more source

Performance Evaluation of Super‐Resolution Techniques for Characterization and Phenotyping of Commodity Crops Using Multispectral Imagery

Advanced Intelligent Systems, EarlyView.
This study assesses the suitability and performance of single‐image super‐resolution methods when applied directly, and without any fine‐tuning, to multispectral images of maize and sunflower crops. It evaluates not only super‐resolution performance, but also the preservation of spectral integrity and vegetation‐index reliability. Multispectral imagery
Abhiram Karukayil, João F. C. Mota, Mateo Vásquez‐Guevara, Tito Arevalo‐Ramirez, Fernando Auat Cheein   +4 more
wiley   +1 more source