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 methods
Effect of preclinical training in periodontal instrumentation on undergraduate students’ anxiety, clinical performance, satisfaction | BMC Oral Health
Dentistry is inherently a practice-based profession, requiring both clinical skills and theoretical knowledge . Periodontal treatments, which involve intricate procedures...
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...
Multi-task genomic prediction using gated residual variable selection neural networks | BMC Bioinformatics
This section describes the methodology for genomic prediction and variable selection using the deep learning-based GRVSNN framework. Our approach is...
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...
