Abstract: Unsupervised cross-sensor change detection (CSCD) is a significant yet challenging task in remote sensing, primarily due to substantial domain shifts across heterogeneous images and the ...

Hi, I'm Bill. I'm a software developer with a passion for making and electronics. I do a lot of things and here is where I document my learning in order to be able to inspire other people to make ...

A frequently asked question in a Java interview is: How to implement a Java HashMap? Java job seekers must fully grok this important concept if they want to ace the interview. The HashMap tutorial ...

I certify that I have listed all sources used to complete this exercise, including the use of any Large Language Models. All of the work is my own, except where stated otherwise. I am aware that ...

Positive predictive value was higher with MELD Graph compared with existing baseline algorithm. HealthDay News — A graph neural network using data from the Multicenter Epilepsy Lesion Detection (MELD) ...

Positive predictive value in detecting epileptogenic focal cortical dysplasia was higher with MELD Graph compared with the existing baseline algorithm. HealthDay News — A graph neural network using ...

The rise of social media has created new avenues for illicit activities, with online platforms becoming hotspots for drug trafficking networks. Traditional detection methods struggle with the ...

ABSTRACT: Graph burning is a model for describing the spread of influence in social networks and the generalized burning number b r ( G ) of graph G is a parameter to measure the speed of information ...

Detecting code clones remains challenging, particularly for Type-II clones, with modified identifiers, and Type-III ST and MT clones, where up to 30% and 50% of code, respectively, are added or ...

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jctc.4c00948. RMSEs of the free energy differences between end states ...