A comprehensive review on federated learning based models for healthcare applications
A disease is an abnormal condition that negatively impacts the functioning of the human
body. Pathology determines the causes behind the disease and identifies its development …
body. Pathology determines the causes behind the disease and identifies its development …
An Explainable Contrastive-based Dilated Convolutional Network with Transformer for Pediatric Pneumonia Detection
Pediatric pneumonia remains a significant global threat, surpassing all other communicable
diseases in child mortality and necessitating rapid diagnosis. UNICEF identifies it as a …
diseases in child mortality and necessitating rapid diagnosis. UNICEF identifies it as a …
Challenges issues and future recommendations of deep learning techniques for SARS-CoV-2 detection utilising X-ray and CT images: a comprehensive review
The global spread of SARS-CoV-2 has prompted a crucial need for accurate medical
diagnosis, particularly in the respiratory system. Current diagnostic methods heavily rely on …
diagnosis, particularly in the respiratory system. Current diagnostic methods heavily rely on …
Pneumonia Detection Using Chest Radiographs With Novel EfficientNetV2L Model
Pneumonia is a potentially life-threatening infectious disease that is typically diagnosed
through physical examinations and diagnostic imaging techniques such as chest X-rays …
through physical examinations and diagnostic imaging techniques such as chest X-rays …
A Deep Convolutional Neural Network for Pneumonia Detection in X-ray Images with Attention Ensemble
In the domain of AI-driven healthcare, deep learning models have markedly advanced
pneumonia diagnosis through X-ray image analysis, thus indicating a significant stride in the …
pneumonia diagnosis through X-ray image analysis, thus indicating a significant stride in the …
A deep learning-based model for biotic rice leaf disease detection
The detection of rice leaf disease is an essential step for implementing precise and timely
interventions, thereby mitigating the spread and minimizing the ecological and economic …
interventions, thereby mitigating the spread and minimizing the ecological and economic …
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 …
Short-term solar power forecasting-An approach using JAYA based recurrent network model
Solar power generation is variable and weather-dependent, making accurate forecasting
essential for power system operation and planning. In this work, we use multiple deep …
essential for power system operation and planning. In this work, we use multiple deep …
Leveraging Transfer Learning-based Fine-tuned ResNet50 Model for Maize Leaf Disease Classification
The anticipation of corn leaf disease is crucial in precision agriculture, facilitating prompt
actions to protect crop output and quality. This study utilizes a pre-trained ResNet50 deep …
actions to protect crop output and quality. This study utilizes a pre-trained ResNet50 deep …
Comparative Analysis of Machine Learning, Ensemble Learning and Deep Learning Classifiers for Parkinson's Disease Detection
A progressive neurodegenerative ailment called Parkinson's disease (PD) is marked by the
death of dopamine-producing cells in the substantia nigra area of the brain. The exact …
death of dopamine-producing cells in the substantia nigra area of the brain. The exact …