GitHub

Explore In-Context Learning for 3D Point Cloud Understanding

⭐ Our work is the first to explore in-context learning in 3D point clouds, including task definition, benchmark, and baseline models. The first work to explore the application of in-context learning ...

Techie 3xed his salary in just 1 year: Java full stack developer shares tips on how he went from Rs 7.8 LPA to Rs 24.8 LPA

A Java Full Stack Developer dramatically boosted his salary from ₹7.8 LPA to ₹24.8 LPA in a single year. Strategic job ...
IEEE

A Sequential and Asynchronous Federated Learning Framework for Railway Point Machine Fault Diagnosis With Imperfect Data Transmission

Abstract: Fault diagnosis of railway assets has drawn the interest of both the scholarly and engineering communities. Federated learning (FL) enables training models across distributed assets to ...
IEEE

An Improved Sequence-to-Point Learning for Non-Intrusive Load Monitoring Based on Discrete Wavelet Transform

Abstract: Nonintrusive load monitoring (NILM) is a process that monitors the aggregated power consumption data of customers measured by a single sensor and decomposes the real-time power consumption ...
TechRepublic

Best Practices for Concurrency in Java

Learn about the best practices for concurrency in Java to ensure your multi-threaded applications are efficient, synchronized, and error-free. Concurrency in Java is the ability of multiple threads to ...