It helps journalists verify hypotheses, reveal hidden insights, follow the money, scale investigations, and add credibility ...

Penn State's research on KNN piezoelectric materials reveals potential for efficient energy harvesting and biocompatible ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

In this article, we will be sharing some free Python programming courses offered by SWAYAM, MIT and Google that can be great ...

Cracks in structures are discontinuities that occur due to stress, material degradation, or design flaws, compromising structural integrity. Detecting and analyzing cracks is crucial for assessing ...

Abstract: Privacy-preserving k-nearest neighbor (PPkNN) classification for multiple clouds enables categorizing queried data into a class in keeping with data privacy ...

Objectives: To analyze MRI characteristics of the nerve root sedimentation sign (SedSign) in lumbar spinal canal stenosis (LSS) and to establish a risk model predicting its occurrence. Methods: A ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

In an era of rapidly growing multimedia data, the need for robust and efficient classification systems has become critical, specifically the identification of class names and poses or styles. This ...

A weird moment in Doha, Qatar, as Trump praised Transportation Secretary Sean Duffy as a world-class tree-climbing lumberjack. After bribing Trump with a luxury jet, Qatar couldn't give a sh*t how ...

ABSTRACT: The rapid evolution of land use patterns in Lusaka presents significant challenges for sustainable urban development and resource management. This study employs a time-series analysis of ...