Breast lesion classification using features fusion and selection of ensemble ResNet method

G Kılıçarslan, C Koç, F Özyurt… - International Journal of …, 2023 - Wiley Online Library
Abstract Medical Imaging with Deep Learning has recently become the most prominent topic
in the scientific world. Significant results have been obtained in the classification of medical …

[PDF][PDF] Non invasive decay analysis of monument using deep learning techniques

R Perumal, SB Venkatachalam - Traitement du Signal, 2023 - researchgate.net
Accepted: 10 March 2023 Monuments are a vital part of the heritage of any culture that
witnesses the history of our time. These monuments are inherited from previous generations …

Tiny machine learning for underwater image enhancement: pruning and quantization approach

AA El Rejal, A Pester, K Nagaty - … International Conference on …, 2023 - ieeexplore.ieee.org
Many people have expressed an interest in underwater image processing in a variety of
fields, including underwater vehicle control, archaeology, marine biological studies, etc …

[HTML][HTML] Method for detecting surface defects of underwater buildings: Binocular vision based on sinusoidal grating fringe assistance

Q Bi, M Lai, J Yu, Z Tang, X Teng, Y Lu, J Zou - Alexandria Engineering …, 2023 - Elsevier
In underwater building-surface defect detection, high pressure, cold and other underwater
factors will cause harm to frogmen, sonar and other detection techniques contain limited …

Utilizing Deep Learning-Based Fusion of Laser Point Cloud Data and Imagery for Digital Measurement in Steel Truss Member Applications.

W Li, Z Liu - Traitement du Signal, 2023 - search.ebscohost.com
In efforts to refine the digital measurement accuracy of steel truss bridge rods, a novel
methodology was proposed, integrating laser point cloud technology with advanced image …

Underwater image processing based on CNN applications: A review

A Noor, NI Ruhaiyem - Proceedings of the Cognitive Models and Artificial …, 2024 - dl.acm.org
In recent years, due to the natural resources contained in the vast underwater world and the
diversity of organisms present in it, including microscopic organisms, coral reefs, seaweed …

A Deep Reinforcement Learning Approach for Efficient Image Processing Task Offloading in Edge-Cloud Collaborative Environments.

M Sun, T Bao, D Xie, H Lv, G Si - Traitement du Signal, 2023 - search.ebscohost.com
In the wake of the burgeoning Internet of Things (IoT) era and the increasing prevalence of
image-based applications on mobile platforms, a significant demand for computing …

Tiny Machine Learning for Underwater Image Enhancement: Pruning and Quantizaition Approach

A Pester Dr - 2023 - buescholar.bue.edu.eg
Many people have expressed an interest in underwater image processing in a variety of
fields, including underwater vehicle control, archaeology, marine biological studies, etc …