[HTML][HTML] An experimental analysis of different deep learning based models for Alzheimer's disease classification using brain magnetic resonance images
Classification of Alzheimer's disease (AD) is one of the most challenging issues for
neurologists. Manual methods are time consuming and may not be accurate all the time …
neurologists. Manual methods are time consuming and may not be accurate all the time …
Analyzing research trends of sentiment analysis and its applications for coronavirus disease (covid-19): A systematic review
V Jain, KL Kashyap - Journal of Intelligent & Fuzzy Systems, 2023 - content.iospress.com
COVID-19 epidemic is one of the worst disaster which affected people worldwide. It has
impacted whole civilization physically, monetarily, and also emotionally. Sentiment analysis …
impacted whole civilization physically, monetarily, and also emotionally. Sentiment analysis …
An approach for classification of Alzheimer's disease using deep neural network and brain magnetic resonance imaging (MRI)
Alzheimer's disease (AD) is a deadly cognitive condition in which people develop severe
dementia symptoms. Neurologists commonly use a series of physical and mental tests to …
dementia symptoms. Neurologists commonly use a series of physical and mental tests to …
Diabetic retinopathy classification using hybrid deep learning approach
B Menaouer, Z Dermane, N El Houda Kebir… - SN Computer …, 2022 - Springer
During the recent years, diabetic retinopathy (DR) has been one of the most threatening
complications of diabetes that leads to permanent blindness. Further, DR mutilates the …
complications of diabetes that leads to permanent blindness. Further, DR mutilates the …
Speech recognition using convolution deep neural networks
A Alsobhani, HMA ALabboodi… - Journal of Physics …, 2021 - iopscience.iop.org
The use of a speech recognition model has become extremely important. Speech control
has become an important type; Our project worked on designing a word-tracking model by …
has become an important type; Our project worked on designing a word-tracking model by …
Educational innovation faced with COVID-19: deep learning for online exam cheating detection
Because the COVID-19 epidemic has limited human activities, it has touched almost every
sector. Education is one of the most affected areas. To prevent physical touch between …
sector. Education is one of the most affected areas. To prevent physical touch between …
[HTML][HTML] Deep learning based suture training system
Background and objectives Surgical suturing is a fundamental skill that all medical and
dental students learn during their education. Currently, the grading of students' suture skills …
dental students learn during their education. Currently, the grading of students' suture skills …
Convolutional Neural Networks and Vision Transformers for Fashion MNIST Classification: A Literature Review
Our review explores the comparative analysis between Convolutional Neural Networks
(CNNs) and Vision Transformers (ViTs) in the domain of image classification, with a …
(CNNs) and Vision Transformers (ViTs) in the domain of image classification, with a …
[PDF][PDF] Diabetic retinopathy detection and classification using pre-trained convolutional neural networks
S Patel - International Journal on Emerging Technologies, 2020 - researchgate.net
Diabetic Retinopathy (DR) is a situation that affects the eye and it is a complication that
occurred due to diabetes. It can be detected using retinal fundus photographs. Traditional …
occurred due to diabetes. It can be detected using retinal fundus photographs. Traditional …
Enhancing deep convolutional neural network models for orange quality classification using MobileNetV2 and data augmentation techniques
PT Huong, LT Hien, NM Son… - Journal of Algorithms …, 2025 - journals.sagepub.com
This study introduces significant improvements in the construction of deep convolutional
neural network models for classifying agricultural products, specifically oranges, based on …
neural network models for classifying agricultural products, specifically oranges, based on …