Abstract: Partial discharge (PD) can characterize and affect the insulation performance of distribution transformers. However, PD signals have the problem of a single-mode sparse dictionary with a ...

DEXTER, Maine (WABI) - Inspiring young minds is what the Valley Grange in Guilford has been doing with their “Words for Thirds” project for 20 years now. Each fall, teams from the Grange travel to ...

What if the most profound leap toward Artificial General Intelligence (AGI) wasn’t a headline-grabbing announcement, but a quiet breakthrough flying under the radar? Enter Grok 5, a development that ...

This is the official repo of our paper Geometry-Aware Attenuation Learning for Sparse-View CBCT Reconstruction in IEEE TMI 2024. In this work, we describe a novel encoder-decoder framework for ...

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...

Abstract: Sparse optoacoustic sensing (SOS) enhances tomographic imaging by enabling high frame rates and reducing system complexity through partial data acquisition. However, its performance depends ...

Google Colab is a really handy tool for anyone working with machine learning and data stuff. It’s free, it runs in the cloud, and it lets you use Python without a lot of fuss. Whether you’re just ...

Official implementation of SeerAttention and SeerAttention-R - a novel trainable sparse attention mechanism that learns intrinsic sparsity patterns directly from LLMs through self-distillation at post ...

Learning something new can feel overwhelming, especially when it comes to programming. Maybe you’ve always wanted to dip your toes into coding but felt intimidated by the jargon or unsure where to ...

By effectively integrating machine learning and logical reasoning in a balanced loop, coupled with engineering optimizations, ABLkit demonstrates superior performance in terms of predictive accuracy, ...