A deep learning-based convolutional neural networks model for white blood cell classification
White blood cells, or leukocytes, are indispensable for the optimal functioning of the immune
system. They play a critical role in protecting the body against infections, diseases, and other …
system. They play a critical role in protecting the body against infections, diseases, and other …
An efficient deep learning model for eye disease classification
Early detection of eye diseases is crucial, particularly for individuals with a family history of
eye diseases, people over 60 years of age, individuals with diabetes, and those who have a …
eye diseases, people over 60 years of age, individuals with diabetes, and those who have a …
Hybrid CNN-RNN Modelling for Precisely Classifying the Seriousness of Mustard White Rust Disease at Five Levels
Mustard white rust disease is a severe threat to the cultivation of mustard plants, influencing
quality and yield. This study developed a hybrid Convolutional Neural Network (CNN) and …
quality and yield. This study developed a hybrid Convolutional Neural Network (CNN) and …
DSCIMABNet: A novel multi-head attention depthwise separable CNN model for skin cancer detection
Skin cancer is a common type of cancer worldwide. Early diagnosis of skin cancer can
reduce the risk of death by increasing treatment success. However, it is challenging for …
reduce the risk of death by increasing treatment success. However, it is challenging for …
A Deep Learning-based EfficientNetB0 Smoker Surveillance System for Enhancing Public Safety
Smoking is one of the risk factors associated with health conditions. The increase in smoking
leads to various health issues such as lung cancer, oral cancer, respiratory problems, heart …
leads to various health issues such as lung cancer, oral cancer, respiratory problems, heart …
Artificial Intelligence-Based ResNet50, Xception, and VGG16 Models for an Efficient Detection of Lung Cancer
Lung cancer is a fatal disease that frequently occurs, thus effective and accurate methods for
detection are essential to ensure early intervention. In this research, we employed deep …
detection are essential to ensure early intervention. In this research, we employed deep …
A Privacy-Protected Federated Learning with Cross-silo Brain Tumour Dataset for Glioma Detection
Brain tumours are abnormal growths of cells within the brain or the central spinal canal. The
occurrence of this disease in a critical location can cause significant neurological …
occurrence of this disease in a critical location can cause significant neurological …
Fine-tuned Convolutional Neural Network Model for Multiclass Potato Leaf Disease Classification
Potato is one of the vegetables, that contains a rich amount of starch and high-quality
proteins including vitamins B1, B2, C, and K. India has emerged as the top country to grow …
proteins including vitamins B1, B2, C, and K. India has emerged as the top country to grow …
A Convolution Neural Network-Based System for Licensed Number Plate Recognition
India's high population density and a large number of vehicles on the roads pose significant
challenges in effectively managing traffic. Car license plate detection technology can assist …
challenges in effectively managing traffic. Car license plate detection technology can assist …
An Early Detection of Parkinson's Disease using Machine Learning and Deep Learning Models
The human nervous system is the controlling mechanism for coordinating all body-related
activities. In the cognitive world, it stimulates thinking capabilities. It prompts a reaction to a …
activities. In the cognitive world, it stimulates thinking capabilities. It prompts a reaction to a …