Prognosis of air quality index and air pollution using machine learning techniques
This research has progressed through three main stages. The first one included preparing and processing air quality parameters. The second...
Learning
Breast lesion classification via colorized mammograms and transfer learning in a novel CAD framework
It is crucial to differentiate between malignant and benign tissues in order to ensure that BC patients receive timely and...
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...
A multimodal deep reinforcement learning approach for IoT-driven adaptive scheduling and robustness optimization in global logistics networks
Multimodal data fusion frameworkEffective decision-making in global logistics networks requires comprehensive situational awareness derived from diverse data sources spanning physical...
Content oriented 3D-CNN sequence learning architecture for academic activities recognition using a realistic CAD dataset
Sedik, A., Marey, M. & Mostafa, H. An adaptive fatigue detection system based on 3D CNNs and ensemble models. Symmetry...
A robust machine learning approach to predicting remission and stratifying risk in rheumatoid arthritis patients treated with bDMARDs
Patient demographics and baseline characteristicsIn this study, we initially included 4344 patients from the Bioreg dataset. After applying inclusion criteria...
