Unsupervised learning methods have achieved remarkable performance in monocular depth estimation and camera pose, which mostly solve the multi-task learning problem by using their inner geometry ...

data-science machine-learning scikit-learn python-library kaggle feature-selection open-data feature-extraction public-data feature-engineering features automl open-datasets data-enrichment ...

While many education providers continue to rely on traditional recruitment and service models, I think there’s much to learn from an unlikely but highly relevant source: the startup world.

Although semantic segmentation models based on deep neural networks (DNNs) have achieved excellent results, generalizing well from one remote sensing dataset (source domain) to another dataset with ...

We take the center of mass of the tooth descriptors as the center of the tooth and crop out the tooth ROI of size (64,64,96). This ROI is used for individual tooth segmentation. This study employs an ...

🚗 EV Market & Booking Segmentation – India 2025 A data-driven analysis of India’s Electric Vehicle ecosystem and online ride-booking trends. This project leverages EV sales data, public charging ...