Physicists have long recognized the value of photonic graph states in quantum information processing. However, the difficulty ...
Graph technology is allowing pharma to model data in a way that offers invaluable insights for marketing, R&D and compliance teams alike. Google, Facebook and LinkedIn are among those utilising graph ...
Entity alignment is a critical process for unifying heterogeneous data sources by identifying and linking entities that refer to the same real-world object across different knowledge graphs. This ...
The exam authority has also removed the previously announced KCET 2026 exam dates from its official website The Karnataka Examination Authority (KEA) has once again revised the Karnataka Common ...
The Karnataka Examination Authority (KEA) has officially opened the registration process for the Karnataka Common Entrance Test (KCET/UGCET) 2026. The last date to submit the online application form ...
Abstract: A low-profile planar log-periodic dipole array (PLPDA) antenna is presented for broadband intentional electromagnetic interference (IEMI) sensing over 2–6 GHz. The design employs only six ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
Abstract: Geometric Deep Learning is a modern approach to deep learning that focuses on the assessment of the structure and inherent symmetry of the data. How to best represent Electrocardiogram (ECG) ...
The goal of this module is to overlay a movie clip (ar_source.mov) onto a book cover (book.mov) by estimating the homography between the book image and the video frames. Feature Detection & ...
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