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Human age and gender prediction from facial images using deep learning methods
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 …
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
Wastewater treatment plants offer an important pathway for microplastics (MPs) to enter
natural aquatic systems. Traditional MP analysis often involves manual sorting of MPs …
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 …
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 …
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 …
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 …
accurate risk stratification of thyroid nodules by integrating clinical, radiological, and deep …
Efficient net v2 algorithm-based nsfw content detection
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) …
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
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 …
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 …
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 …
age estimation and gender recognition of current facial features in this paper. First …