Results 51 to 60 of about 5,054,495 (195)

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

IET 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, Mohamed Karim Azizi, Anandh Sam Chandra Bose, Amor Smida, Srinivas Katkoori   +4 more
wiley   +1 more source

Enhanced ESRGAN for Single-Image Super-Resolution Multi-Loss Design and Dynamic Training Strategy

IJCI International Journal of Computers and Information
Single-image super-resolution (SISR) aims to recover a high-resolution (HR) image from a single low-resolution (LR) input, a task with critical applications in medical imaging, satellite surveillance, digital archiving, and multimedia restoration.
Abanoub Shawky, Khalid Amin, mina ibrahim, Sameh Zarif   +3 more
doaj   +1 more source

Improving Face Image Transmission with LoRa Using a Generative Adversarial Network

Applied Sciences
Although it is a technology that can be pretty important for remote areas lacking internet or cellular data, the difficulties it presents in large data transmission prevent LoRa from developing sufficiently for image transmission.
Bilal Babayiğit, Fatma Yarlı Doğan
doaj   +1 more source

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

IET 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, Muhammad Waqas, Asghar Ali Shah, Asif Ali Laghari, Ahmad Almadhor, Natalia Kryvinska, Ruqiya Rajab, Rashid Ali Laghari, Sumaira Kausar   +8 more
wiley   +1 more source

From PSNR to Frequency Evidence: Evaluating Super-Resolution Reliability on Low-SNR Fluorescence Channels

Photonics
Existing super-resolution evaluation systems for fluorescence microscopy images struggle to effectively detect potential artifacts in weak signal reconstruction.
Haoxuan Huang, Hasan Abbas
doaj   +1 more source

Super‐Resolution Enhanced Defect Detection Network for Photovoltaic Panel Images

IET Image Processing, Volume 20, Issue 1, January/December 2026.
A super‐resolution (SR)‐enhanced YOLO framework, PVSR‐YOLO, is proposed for detecting photovoltaic (PV) defects. By introducing an auxiliary SR branch and incorporating SR data augmentation during training, we effectively guide the YOLOv10s backbone to learn fine‐grained features of minor defects, thereby improving the accuracy and reliability of PV ...
Hao Tang, Bin Yang
wiley   +1 more source

Single Remote Sensing Image Super‐Resolution Based on Real‐World Degradation Model and Deep Generative Adversarial Network

IET Image Processing, Volume 20, Issue 1, January/December 2026.
We propose a novel method, termed SRDDSAGAN, which is based on a real‐world degradation model (RWDM) and a deep generative adversarial network (SRDSAGAN). The RWDM integrates blur kernels and imaging noise to simulate real‐world imaging conditions, thereby generating more realistic training and testing datasets. The SRDSAGAN incorporates dense sampling
Zhen Yang, Yin Zhang, Songping Wei, Jiaqi Shen, Shikai Jiang, Yun Su, Yue Yu, Junhua Yan   +7 more
wiley   +1 more source

End‐to‐End Convolutional Neural Networks Training on Stable Diffusion Deepfake Imagery for Precise Early Weed Detection

Weed Research, Volume 66, Issue 1, January/February 2026.
ABSTRACT The integration of optical sensor systems with advancements in artificial intelligence for image processing presents a promising avenue for the broader implementation of site‐specific weed management (SSWM). Convolutional neural networks (CNNs) have significantly advanced the field of weed detection.
Adrià Gómez, Hugo Moreno, Dionisio Andújar   +2 more
wiley   +1 more source

Application of Computer Vision for Automated Processing of Medical Documents

Цифровая трансформация
This paper examines the automation of medical image processing for diagnosing arterial hypertension using artificial intelligence and computer vision technologies.
Y. A. Kurliuk, N. A. Larchenko, M. V. Davydov, E. K. Kurlyanskaya   +3 more
doaj   +1 more source

Robust Real‐Time Detection of Small Traffic Signs in Adverse Weather Conditions Using GAHP‐YOLOv8

Journal of Advanced Transportation, Volume 2026, Issue 1, 2026.
Traffic sign detection (TSD) is a fundamental component of intelligent transportation systems (ITS) and autonomous driving. Despite recent advancements in deep learning, robust TSD in real‐world scenarios remains challenging due to the prevalence of small targets, complex environmental interference (e.g., adverse weather and varying illumination), and ...
Jinke Cheng, Xue Wang, Sheng Zhang, Suhuan Feng, Jingbo Fu, Qingkun He, Guo Li, Wenbin Wang, Senhui Liu, Jinhao Liang   +9 more
wiley   +1 more source