A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Abstract: First-photon imaging is a photon-efficient computational imaging technique that reconstructs an image by recording only the first-photon arrival event at each spatial location and then ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
SignAI is an sign language recognition and translation system that uses machine learning to interpret German Sign Language (DGS) in real time and produce gloss-style translations. This repository ...
Model architecture and algorithm of TIP: (a) Model overview with its image encoder, tabular encoder, and multimodal interaction module, which are pre-trained using 3 SSL losses: $\mathcal{L}_{itc}$, $ ...
Overview Pandas continues to be a core Python skill in 2026, powering data analysis, cleaning, and engineering workflows ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Abstract: The concepts of fog and edge computing are currently applied in the construction of distributed cyber-physical systems in order to reduce the load on the network infrastructure, as well as ...
WASHINGTON, Jan 29 (Reuters) - A proposed merger between Elon Musk's SpaceX and xAI, reported exclusively by Reuters on Thursday, could give fresh momentum to Musk's plan to launch satellite data ...
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