Automated medical diagnosis of COVID-19 through EfficientNet convolutional neural network

G Marques, D Agarwal, I De la Torre Díez - Applied soft computing, 2020 - Elsevier
COVID-19 infection was reported in December 2019 at Wuhan, China. This virus critically
affects several countries such as the USA, Brazil, India and Italy. Numerous research units …

[PDF][PDF] Analysis of convolutional neural network based image classification techniques

M Tripathi - Journal of Innovative Image Processing (JIIP), 2021 - researchgate.net
With the rapid urbanization and people moving from rural areas to urban time has become a
very huge commodity. As a result of this change in people's lifestyles, there is a growing …

Detection of tuberculosis from chest X-ray images: Boosting the performance with vision transformer and transfer learning

LT Duong, NH Le, TB Tran, VM Ngo… - Expert Systems with …, 2021 - Elsevier
Tuberculosis (TB) caused by Mycobacterium tuberculosis is a contagious disease which is
among the top deadly diseases in the world. Research in Medical Imaging has been done to …

Classification of skin cancer from dermoscopic images using deep neural network architectures

J SM, MP, C Aravindan, R Appavu - Multimedia Tools and Applications, 2023 - Springer
A powerful medical decision support system for classifying skin lesions from dermoscopic
images is an important tool to prognosis of skin cancer. In the recent years, Deep …

Spinalnet: Deep neural network with gradual input

HMD Kabir, M Abdar, A Khosravi… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Deep neural networks (DNNs) have achieved the state-of-the-art (SOTA) performance in
numerous fields. However, DNNs need high computation times, and people always expect …

Tomato cluster detection and counting using improved YOLOv5 based on RGB-D fusion

J Rong, H Zhou, F Zhang, T Yuan, P Wang - Computers and Electronics in …, 2023 - Elsevier
Accurate estimation of tomato cluster yields is critical to the advancement of intelligent and
unmanned greenhouses, guiding horticultural management and adjusting sales and …

Practical cucumber leaf disease recognition using improved Swin Transformer and small sample size

F Wang, Y Rao, Q Luo, X Jin, Z Jiang, W Zhang… - … and Electronics in …, 2022 - Elsevier
The deep learning methods based on convolutional neural network (CNN) have been
widely explored in dataset augmentation and recognition of plant leaf diseases. The recently …

Recent advances in artificial intelligence towards the sustainable future of agri-food industry

PC Nath, AK Mishra, R Sharma, B Bhunia, B Mishra… - Food Chemistry, 2024 - Elsevier
Artificial intelligence has the potential to alter the agricultural and food processing industries,
with significant ramifications for sustainability and global food security. The integration of …

A review on fruit recognition and feature evaluation using CNN

D Indira, J Goddu, B Indraja, VML Challa… - Materials Today …, 2023 - Elsevier
The first thing addressed in this paper is Plant fruit recognition and its feature extraction, it
plays vital role in Agriculture. The point is to construct an exact, quick and solid framework …

Comparative assessment of common pre-trained CNNs for vision-based surface defect detection of machined components

SA Singh, AS Kumar, KA Desai - Expert Systems with Applications, 2023 - Elsevier
Abstract Small and Medium Enterprises (SMEs) and Micro, Small, and Medium Enterprises
(MSMEs) contemplate integrating machine vision with high throughput manufacturing lines …