Six-month, CTEL-led programme blends machine learning, deep learning and generative AI with hands-on projects and a three-day ...
From NumPy to PyTorch, Top Python Libraries Are Shaping Data Science in 2026: Are You Using the Right Frameworks to Stay Ahead in This Fast-Changing Field? NumPy and Pandas form the core of data ...
Abstract: Deep learning has significantly enhanced the research on the emerging issue of Electroencephalogram (EEG)-based visual classification and reconstruction, which has gained a growth of ...
Abstract: Super resolution (SR) has garnered significant attention within the computer vision community, driven by advances in deep learning (DL) techniques and the growing demand for high-quality ...
ML Module — Seven classical machine learning classifiers trained on a real-world IoT sensor dataset (62,630 readings, 13 sensor channels) achieve near-perfect AUC-ROC scores above 0.999. DL Module — A ...
A deep learning project for detecting Tuberculosis (TB) from chest X-ray images using convolutional neural networks (CNN). This project demonstrates the application of computer vision in medical ...
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