Convolutional autoencoder-based SOH estimation of lithium-ion batteries using electrochemical impedance spectroscopy

J Obregon, YR Han, CW Ho, D Mouraliraman… - Journal of Energy …, 2023 - Elsevier
The advancement of consumer electronics and electric vehicles requires heavy use of
energy sources, particularly in the form of rechargeable batteries. Although lithium-ion …

Review on diabetic retinopathy with deep learning methods

S Shekar, N Satpute, A Gupta - Journal of Medical Imaging, 2021 - spiedigitallibrary.org
Purpose: The purpose of our review paper is to examine many existing works of literature
presenting the different methods utilized for diabetic retinopathy (DR) recognition employing …

Automatic segmentation of optic disc in retinal fundus images using semi-supervised deep learning

S Bengani - Multimedia Tools and Applications, 2021 - Springer
Diseases of the eye require manual segmentation and examination of the optic disc by
ophthalmologists. Though, image segmentation using deep learning techniques is …

Point cloud reduction and denoising based on optimized downsampling and bilateral filtering

B Zou, H Qiu, Y Lu - Ieee Access, 2020 - ieeexplore.ieee.org
For the issue of using the center of gravity during down-sampling, some points of their
feature will be lost. We propose a new method, FWD (Farthest point Weighted mean Down …

A novel approach for fundus image enhancement

A Raj, NA Shah, AK Tiwari - Biomedical signal processing and control, 2022 - Elsevier
Fundus image enhancement is an essential and challenging pre-processing step for
automated diagnosis of ocular disorders. The enhancement works reported earlier were …

Deep learning assisted convolutional auto-encoders framework for glaucoma detection and anterior visual pathway recognition from retinal fundus images

V Saravanan, RDJ Samuel, S Krishnamoorthy… - Journal of Ambient …, 2022 - Springer
Glaucoma is one of the world's leading causes of visual disability. The optic nerve fibers can
deteriorate over time and cannot be replaced until it achieves later stages. In aging …

A novel retinal image segmentation using rSVM boosted convolutional neural network for exudates detection

SK Ghosh, A Ghosh - Biomedical Signal Processing and Control, 2021 - Elsevier
Retinal image analysis is an emerging research field in ophthalmological disease diagnosis
since falsely detected optic disc, fovea, and blood vessels have become essential levels for …

[PDF][PDF] 基于荧光光谱和堆栈自编码器的食用油快速无损检测

周孟然, 戴荣英, 杨晨, 胡锋, 卞凯, 来文豪… - Laser & …, 2022 - researching.cn
摘要针对传统检测方式的食用油损耗大, 操作烦琐, 耗时长等缺陷, 提出了一种食用油种类快速
无损检测的新思路. 实验选用包括混合油样在内的5 种待测油样本, 利用搭建出的激光诱导荧光 …

Diabetic foot ulcers monitoring by employing super resolution and noise reduction deep learning techniques

A Davradou, E Protopapadakis, M Kaselimi… - Proceedings of the 15th …, 2022 - dl.acm.org
Diabetic foot ulcers (DFUs) constitute a serious complication for people with diabetes. The
care of DFU patients can be substantially improved through self-management, in order to …

Visible watermarks inpainting using deep learning for multimedia application

N Gapon, E Yadrets, V Voronin… - Optoelectronic …, 2023 - spiedigitallibrary.org
In recent decades, with the development of digital technologies and the spread of the
Internet, photography has become an integral part of our daily lives. Often, images with …