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[PDF][PDF] Deep learning approaches for medical image analysis and diagnosis
In addition to enhancing diagnostic accuracy, deep learning techniques offer the potential to
streamline workflows, reduce interpretation time, and ultimately improve patient outcomes …
streamline workflows, reduce interpretation time, and ultimately improve patient outcomes …
Automation of brain tumor identification using efficientnet on magnetic resonance images
The general method for classification of brain tumors is through biopsy, but biopsy is
performed only after a surgery where a small tissue is removed from the brain and examined …
performed only after a surgery where a small tissue is removed from the brain and examined …
[HTML][HTML] A spatial-spectral classification method based on deep learning for controlling pelagic fish landings in Chile
Fishing has provided mankind with a protein-rich source of food and labor, allowing for the
development of an important industry, which has led to the overexploitation of most targeted …
development of an important industry, which has led to the overexploitation of most targeted …
Autoencoder: An unsupervised deep learning approach
With the advent of science and technology, it has been observed that autoencoder plays a
vital role in unsupervised learning and in deep architectures for many tasks like transfer …
vital role in unsupervised learning and in deep architectures for many tasks like transfer …
SwinSight: a hierarchical vision transformer using shifted windows to leverage aerial image classification
In aerial image classification, integrating advanced vision transformers with optimal
preprocessing techniques is pivotal for enhancing model performance. This study presents …
preprocessing techniques is pivotal for enhancing model performance. This study presents …
[HTML][HTML] CNN-Based Optimization for Fish Species Classification: Tackling Environmental Variability, Class Imbalance, and Real-Time Constraints
Automated fish species classification is essential for marine biodiversity monitoring, fisheries
management, and ecological research. However, challenges such as environmental …
management, and ecological research. However, challenges such as environmental …
Multiclass classification and defect detection of surfaces using modified-YOLO
Industrial products based on glass fiber are widely used in various industries due to their
excellent properties. Steel tubes known for its strength and durability are widely used in …
excellent properties. Steel tubes known for its strength and durability are widely used in …
Computer Networks Cybersecurity Monitoring Based on Deep Learning Model
Effective cybersecurity monitoring is essential for safeguarding computer networks against
evolving threats. However, the increasing scale, complexity, and data volume of modern …
evolving threats. However, the increasing scale, complexity, and data volume of modern …
Stateless System Performance Prediction and Health Assessment in Cloud Environments: Introducing cSysGuard, an Ensemble Modeling Approach
Stateless cloud computing presents remarkable scalability and cost-effectiveness by offering
dynamically adjustable resources tailored to fluctuating demands, eliminating the constraints …
dynamically adjustable resources tailored to fluctuating demands, eliminating the constraints …
Improved Convolutional Neural Network and Transfer Learning with VGG16 Approach for Image Classification
Transfer learning may boost modeling speed. This research unifies the improved VGG16
model. Skip** VGG16's entirely connected layer and tying it to the layer following it …
model. Skip** VGG16's entirely connected layer and tying it to the layer following it …