Domain-incremental white blood cell classification with privacy-aware continual learning
DatasetsWe utilize a series of WBC datasets demonstrating challenging domain shifts commonly found in clinical settings, which we refer to...
Learning
Network-based intrusion detection using deep learning technique
The dataset considered for the current research is UNSW-NB155, which has 175,341 records and is also imbalanced with a higher...
Enhanced spectrum sensing for 5G and LTE signals using advanced deep learning models and hyperparameter tuning
Dataset descriptionsThe datasets utilized in this study19,20,21 are fundamentally structured to support the development and evaluation of deep learning models...
Deep knowledge tracing and cognitive load estimation for personalized learning path generation using neural network architecture
Learning path optimization algorithmThe generation of optimal learning paths requires balancing two potentially competing objectives: maximizing knowledge acquisition while maintaining...
Leveraging machine learning techniques for image classification and revealing social media insights into human engagement with urban wild spaces
This research aims to explore human engagement with urban wild spaces by leveraging the vast amount of human-generated data available...
Predictive analysis of pediatric gastroenteritis risk factors and seasonal variations using VGG Dense HybridNetClassifier a novel deep learning approach
Implementation of the VDHNC model is carried out with the aid of the able libraries and frameworks of DL applications...
