Exploring the advancements and future research directions of artificial neural networks: a text mining approach
Artificial Neural Networks (ANNs) are machine learning algorithms inspired by the structure
and function of the human brain. Their popularity has increased in recent years due to their …
and function of the human brain. Their popularity has increased in recent years due to their …
Convolution-layer parameters optimization in convolutional neural networks
Abstract Convolutional Neural Networks (CNNs) are the most important deep learning
algorithms to classify images based on their visual features. CNNs architectures are made of …
algorithms to classify images based on their visual features. CNNs architectures are made of …
Advancing Sustainable COVID-19 Diagnosis: Integrating Artificial Intelligence with Bioinformatics in Chest X-ray Analysis
Responding to the critical health crisis triggered by respiratory illnesses, notably COVID-19,
this study introduces an innovative and resource-conscious methodology for analyzing chest …
this study introduces an innovative and resource-conscious methodology for analyzing chest …
Optimizing Deep Learning for Computer-Aided Diagnosis of Lung Diseases: An Automated Method Combining Evolutionary Algorithm and Transfer Learning
Abstract Recent advancements in Computer Vision have opened up new opportunities for
addressing complex healthcare challenges, particularly in the area of lung disease …
addressing complex healthcare challenges, particularly in the area of lung disease …
Effectiveness of CNN Architectures and SMOTE to Overcome Imbalanced X-Ray Data in Childhood Pneumonia Detection
Y Pamungkas, MRN Ramadani… - Journal of Robotics and …, 2024 - journal.umy.ac.id
Pneumonia is a disease that causes high mortality worldwide in children and adults.
Pneumonia is caused by swelling of the lungs, and to ensure that the lungs are swollen, a …
Pneumonia is caused by swelling of the lungs, and to ensure that the lungs are swollen, a …
Embedding channel pruning within the CNN architecture design using a bi-level evolutionary approach
Remarkable advancements have been achieved in machine learning and computer vision
through the utilization of deep neural networks. Among the most advantageous of these …
through the utilization of deep neural networks. Among the most advantageous of these …
Diagnosis of COVID-19 Disease in X-ray Images Based on Deep Learning Methods and Combining Classifiers
M Roustaei, D Giveki - Journal of Health and Biomedical Informatics, 2023 - jhbmi.ir
Method: In this research, a multi-stage process was used to recognize COVID-19 from X-ray
images. In the first stage, pre-processing was done to normalize the data. In the second step …
images. In the first stage, pre-processing was done to normalize the data. In the second step …