Results 51 to 60 of about 5,665 (212)
Optimized Hybrid Deep Learning‐Based FPGA Accelerators for Denoising of Ultrasound Breast Images
IET Circuits, Devices &Systems, Volume 2026, Issue 1, 2026.This paper introduces a novel image‐denoising technique that integrates a hybrid deep learning (DL) model with a self‐improved orca predation (SOP) strategy. This hybrid model improves denoising performance by integrating a Convolutional Neural Network (CNN) with Bidirectional Long Short‐Term Memory (Bi‐LSTM).
K. Janaki +4 more
wiley +1 more source
Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2021 The energy and resources saving has become a major task of petrochemical enterprises, it is necessary to construct the energy saving diagnostic system for understanding the real-time operation information of petrochemical plant and provide theoretical ...
Bin Zhao, Dou Qin, D. Gao, Lizhi Xu
semanticscholar +1 more source
IET Image Processing, Volume 20, Issue 1, January/December 2026.This study presents a robust facial recognition framework based on a unified optimised feature vector that fuses handcrafted descriptors and deep learning embeddings. Using binary grey wolf optimisation for feature selection, the approach reduces redundancy while preserving discriminative power.
Farid Ayeche, Adel Alti
wiley +1 more source
Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.Brain tumors develop due to the unregulated proliferation of nerve tissues. Nonetheless, despite progress in deep learning models for medical image analysis, the precise segmentation of tumor patches and categorization of tumor types remain unresolved.
A. Ashwini +5 more
wiley +1 more source
International Journal of Biomedical Imaging, 2011 The experimental study presented in this paper is aimed at the development of an automatic image segmentation system for classifying region of interest (ROI) in medical images which are obtained from different medical scanners such as PET, CT, or MRI ...
Shadi AlZubi, Naveed Islam, Maysam Abbod
doaj +1 more source
Performance Rate Analysis in Photovoltaic Solar Plants by Machine Learning
Advanced Energy and Sustainability Research, Volume 6, Issue 11, November 2025.Thermal imaging and deep learning are combined to detect faults in photovoltaic panels inspected by autonomous vehicles. A robust pipeline classifies panel defects from aerial thermograms using a convolutional neural network, supporting both real‐time and offline analysis.
Alba Muñoz del Rio +2 more
wiley +1 more source
Fractal and FractionalMulti-focus image fusion is an important method for obtaining fully focused information. In this paper, a novel multi-focus image fusion method based on fractal dimension (FD) and parameter adaptive unit-linking dual-channel pulse-coupled neural network (
Liangliang Li +4 more
doaj +1 more source
An Image Fusion Method Based on Curvelet Transform and Guided Filter Enhancement
, 2020 In order to improve the clarity of image fusion and solve the problem that the image fusion effect is affected by the illumination and weather of visible light, a fusion method of infrared and visible images for night-vision context enhancement is ...
Hui Zhang, Xu Ma, Yanshan Tian
semanticscholar +1 more source
Pyramidal directional filter banks and curvelets [PDF]
Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2002 A flexible multiscale and directional representation for images is proposed. The scheme combines directional filter banks with the Laplacian pyramid to provide a sparse representation for two-dimensional piecewise smooth signals resembling images. The underlying expansion is a frame and can be designed to be a tight frame.
Minh N. Do, Martin Vetterli
openaire +1 more source
Implicit Neural Representations for Unsupervised Seismic Data Interpolation From Single Gather
Geophysical Prospecting, Volume 73, Issue 9, November 2025.ABSTRACT Missing seismic traces from data acquisition limits often significantly degrade data quality. This study presents an unsupervised method using implicit neural representation (INR), specifically sinusoidal representation network (SIREN), to enhance seismic data quality from a single shot gather.
Ganghoon Lee, Snons Cheong, Yunseok Choi
wiley +1 more source