Results 51 to 60 of about 1,040 (193)

Assessing the Impact of Spatial Resolution and Hyperparameters on Automatic Agricultural Parcel Delineation Using the Segment Anything Model With Multi‐Resolution and Super‐Resolved Satellite Imagery

open access: yesTransactions in GIS, Volume 30, Issue 4, June 2026.
ABSTRACT Accurate and automatic determination of the boundaries of agricultural parcels is essential for planning sustainable agricultural policies, managing agricultural production, tracking products and enabling precision farming applications. In recent years, pre‐trained visual base models with zero‐shot segmentation capabilities, such as the ...
Fatih Fehmi Şimşek   +3 more
wiley   +1 more source

Image Super-resolution Methods for FY-3E X-EUVI 195 Å Solar Images

open access: yesThe Astrophysical Journal Supplement Series, 2023
Solar eruptions and the solar wind are sources of space weather disturbances, and extreme-ultraviolet (EUV) observations are widely used to research solar activity and space weather forecasts.
Qinglin Yang   +4 more
doaj   +1 more source

ET-YOLOv5s: Toward Deep Identification of Students’ in-Class Behaviors

open access: yesIEEE Access, 2022
Recognizing students’ behaviors in classes based on videos of their activity plays an important role in improving teaching quality and paying attention to the healthy growth of students.
Lina Li   +4 more
doaj   +1 more source

Deep Learning Integration in Optical Microscopy: Advancements and Applications

open access: yesMicroscopy Research and Technique, Volume 89, Issue 5, Page 791-814, May 2026.
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari   +5 more
wiley   +1 more source

Kép- és videójavító alkalmazás Real-ESRGAN neurális hálózatra építve

open access: yes, 2023
A dolgozat bemutat egy felhasználói felület létrehozását. Amely a Real-ESRGAN képjavítási és modell tanítással kapcsolatos funkciói köre épül. Azzal az céllal, hogy megkönnyítse ezen funkciók használatát.
Simon, Mihály Miklós
core  

Real‐Time In Vivo Cellular‐Level Imaging During Puncture

open access: yesAdvanced Science, Volume 13, Issue 14, 9 March 2026.
We present an artificial‐intelligence‐empowered integrative‐light‐field microendoscopy (AIM) needle that delivers real‐time in vivo, diffraction‐limited cellular‐level imaging during puncture and visualizes layered microstructures along the needle path. As a microscopic complement to CT/ultrasound, it improves sampling localization and adds preliminary
Huifang Gao   +13 more
wiley   +1 more source

A Comparison of SR and CBAM for Optimized Thermal Drone Object Detection

open access: yesJurnal Nasional Teknik Elektro dan Teknologi Informasi
Human detection using thermal cameras is very useful in certain conditions, such as detecting people lost in mountainous areas that are difficult to explore.
Helfy Susilawati   +4 more
doaj   +1 more source

Skin Cancer Classification Framework Using Enhanced Super Resolution Generative Adversarial Network and Custom Convolutional Neural Network

open access: yesApplied Sciences, 2023
Melanin skin lesions are most commonly spotted as small patches on the skin. It is nothing but overgrowth caused by melanocyte cells. Skin melanoma is caused due to the abnormal surge of melanocytes.
Sufiyan Bashir Mukadam   +1 more
doaj   +1 more source

FPGA‐Based Dual Path ConvNeXt‐Tiny–ViT With Effective Feature Refinement for Skin Cancer Classification

open access: yesIET Computers &Digital Techniques, Volume 2026, Issue 1, 2026.
Skin cancer is the dangerous life‐threatening disease and is increasing rapidly due to environmental changes and lifestyle factors. The treatment for skin cancer is possible if detected at an early stage, but if not detected early, the possibility of successful treatment is reduced.
Jamel Smida   +4 more
wiley   +1 more source

RailNet: Railway Track Anomaly Detection via Image Processing With Hybrid Deep Learning Techniques

open access: yesIET Image Processing, Volume 20, Issue 1, January/December 2026.
Our model leverages a DenseNet121 backbone combined with advanced neural network layers to achieve high accuracy in identifying and classifying track defects. The dataset, consisting of images of railway tracks with and without faults, was rigorously augmented to enhance model robustness.
Umair Saeed   +8 more
wiley   +1 more source

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