A hybrid filtering and deep learning approach for early Alzheimer’s disease identification
This section delineates the processes of data preprocessing, data augmentation, the CNN model, and the implemented architecture that were carried...
Hybrid
Hybrid time series and machine learning models for forecasting cardiovascular mortality in India: an age specific analysis | BMC Public Health
The dataset classified about heart disease-related fatalities in India into distinct age brackets: 0–5, 6–15, 16–49, 50–69, and 70 + . The...
An efficient bearing fault detection strategy based on a hybrid machine learning technique
Time–frequency image representations are then classified using features acquired from seven different famous convolutional neural network models. Initial attempts to...
Storm surge predictions get a boost from hybrid wind field and machine learning models
Schematic diagram of the ML models. Credit: Journal of Geophysical Research: Machine Learning and Computation (2025). DOI: 10.1029/2024JH000507 A research...
Strategies for Teaching Complex Subjects in Large Hybrid Classrooms Across Campus: Bridging Engagement and Equity Across Modalities – Faculty Focus
Teaching in a large-size classroom differs significantly from teaching in a small-size classroom in terms of engagement, interaction, and instructional...
How Educational Institutions Can Take A ‘Hybrid’ Approach To Learning
Lux Narayan is the CEO and cofounder of StreamAlive, a leading audience engagement platform for live sessions. getty The evolution...
