Human age and gender prediction from facial images using deep learning methods

P Dey, T Mahmud, MS Chowdhury, MS Hossain… - Procedia Computer …, 2024 - Elsevier
Human age and gender prediction from facial images has garnered significant attention due
to its importance in various applications. Traditional models struggle with large-scale …

Comparative analysis of five convolutional neural networks and transfer learning classification approach for microplastics in wastewater treatment plants

P Akkajit, A Sukkuea, B Thongnonghin - Ecological Informatics, 2023 - Elsevier
Wastewater treatment plants offer an important pathway for microplastics (MPs) to enter
natural aquatic systems. Traditional MP analysis often involves manual sorting of MPs …

Breast cancer detection using convolutional neural network with EfficientNet architecture

W Tasya, S Sa'idah, B Hidayat… - 2022 IEEE Asia Pacific …, 2022 - ieeexplore.ieee.org
Breast cancer is the second most deadly disease in Indonesia after lung cancer. This is
caused due to a lack of public awareness of this disease. Histopathological examination is …

Face recognition using EfficientNet

P Upadhyay, B Garg, A Tyagi, A Tyagi - Proceedings of International …, 2023 - Springer
Communication is becoming increasingly vital as we move closer to a new transformation.
Face features are crucial facial expressions qualities that also participate in human …

ConvELM: exploiting extreme learning machine on convolutional neural network for age estimation

I Apuandi, E Rachmawati… - … Conference on Artificial …, 2023 - ieeexplore.ieee.org
Age estimation is a fascinating field of study because its implementation can be utilized in a
variety of contexts. Currently, the Convolutional Neural Network (CNN) technique is …

[HTML][HTML] Multi-modal feature integration for thyroid nodule prediction: Combining clinical data with ultrasound-based deep features

J Li, Q Guo, X Tan - Journal of Radiation Research and Applied Sciences, 2025 - Elsevier
Objective This study presents an advanced machine learning (ML)-based framework for
accurate risk stratification of thyroid nodules by integrating clinical, radiological, and deep …

Efficient net v2 algorithm-based nsfw content detection

A Saxena, A Ajit, C Arora, G Raj - International Conference on Information …, 2023 - Springer
Youngsters today are highly influenced by the explicit content available online on websites,
apps, and various social media platforms. Explicit content such as NSFW (Not safe for work) …

ADAMAX-Based Optimization of Efficient Net V2 for NSFW Content Detection

C Arora, G Raj, A Ajit, A Saxena - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
In recent years, the need for automatic detection of Not Safe for Work (NSFW) content on
social media platforms has increased dramatically. In this study, we contrasted the …

[HTML][HTML] ИСПОЛЬЗОВАНИЕ СВЁРТОЧНЫХ НЕЙРОННЫХ СЕТЕЙ ДЛЯ АНАЛИЗА ИЗОБРАЖЕНИЙ

МА Лихотин - Вестник Воронежского государственного …, 2023 - cyberleninka.ru
Представлена классификации трёх разновидностей опухолей мозга: менингиома,
глиома и опухоль гипофиза по магнитно-резонансная томографии (МРТ). В …

a new try for age estimation and gender recognition based on efficientnetb4

X Shi, G Chen, J Kan, F Dong… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
A framework called ECA-EfficientNetB4 is proposed to solve the issue of low accuracy in
age estimation and gender recognition of current facial features in this paper. First …