Cyberattack event and arguments extraction based on feature interaction and few-shot learning
In this section, we evaluate the event extraction performance of the proposed CAFIIE method against baseline methods on CTI texts,...
Feature
Multi-stage framework using transformer models, feature fusion and ensemble learning for enhancing eye disease classification
Experimental setupThis study implemented models using Python, an NVIDIA RTX-3090 GPU, Windows 10 Professional, and an Intel i7 processor with...
Enhanced MRI brain tumor detection using deep learning in conjunction with explainable AI SHAP based diverse and multi feature analysis
This section discusses comprehensively the performance assessment of various feature representation techniques (CNN, DWT, FFT, Gabor, GLRLM, and LBP) in...
Feature fusion and selection using handcrafted vs. deep learning methods for multimodal hand biometric recognition
Hand biometrics, including fingerprints and palmprints, are widely used for secure identification due to their high identification accuracy and non-intrusiveness....
Rise Up Launches AI Memorisation Feature for LMS | EdTech News
New LMS feature uses spaced repetition to address training drop-off and improve learning ROIRise Up, an AI learning technology provide...
A feature explainability-based deep learning technique for diabetic foot ulcer identification
This study employs a model that has been previously trained to extract visual data from diabetic foot photos and uses...
