Microsoft introduced a new video series that teaches Java developers how to build generative AI applications using modern ...

Abstract: The utilization of three-dimensional point clouds is an advanced approach for detecting the geometry of objects within a building environment. Nonetheless, a vast amount of data still needs ...

Abstract: Recently, Point-MAE has extended Masked Autoencoders (MAE) to point clouds for 3D self-supervised learning, which however faces two problems: (1) the shape similarity between the masked ...

Abstract: With the maturity of 3D capture technology, the explosive growth of point cloud data has burdened the storage and transmission process. Traditional hybrid point cloud compression (PCC) tools ...

Abstract: When data privacy is imposed as a necessity, Federated learning (FL) emerges as a relevant artificial intelligence field for developing machine learning (ML) models in a distributed and ...

Harrison Butker's latest miss was met with cheers from both Detroit Lions fans and the Kansas City Chiefs kicker's feminist critics. Given the chance to put Kansas City up 7-3 over Detroit in the ...

I was trying to open a file in a remote host to see it locally and the exception occurs. The problem is systematic. I am using Netbeans 27 in Windows 11. Tried both JDK19 and JDK 24 and the porblem ...

Abstract: With recent success of deep learning in 2-D visual recognition, deep-learning-based 3-D point cloud analysis has received increasing attention from the community, especially due to the rapid ...

Top YouTube channels simplify Java from beginner concepts to advanced frameworks. Practical tutorials help transform coding lessons into real-world projects. Choosing the right channel speeds up ...

Hamas agreeing to release the remaining hostages, albeit subject to negotiations and certain conditions being met, will give real hope to the family members in Israel who have been desperate for this ...

Abstract: Learning 3-D structures from incomplete point clouds with extreme sparsity and random distributions is a challenge since it is difficult to infer topological connectivity and structural ...

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