Abstract: The SAR change detection processing sequence includes SAR image stack formation (reference and surveillance), detection, and classification. The currently used approaches for classification ...
Abstract: This paper's primary goal is to use machine learning techniques, specifically Logistic Regression and Decision Trees, to identify bogus news on social media. An innovative logistic model is ...
Abstract: Phishing website is a form of mimicking legitimate sites with the purpose of stealing user’s confidential data. It is a growing threat in the digital age due to its potential to cause ...
Matthew Berry, Jay Croucher and Connor Rogers won't label Philadelphia Eagles running back Saquon Barkley a potential fantasy bust in 2025, but they don't see him repeating last year's historic season ...
Abstract: The early diagnosis of diseases such as glaucoma is crucial for effective treatment and prevention of severe outcomes. Machine learning models, particularly Logistic Regression (LR) and ...
Abstract: Chronic kidney disease (CKD) is a highly progressive condition that can lead to kidney failure and requires early detection to prevent serious complications. This study analyzes the ...
This is a regression from 0.147.9 to 0.148.0. Git bisect says cfc8d31 is the first bad commit. I made this change to address #13826, and it is obviously missing some test cases. project/ ├── content/ ...
This project uses concepts from the TV show The Good Place to explore binary and multinomial logistic regression. The dataset contains behavioral features from 1,000 individuals—such as how often they ...
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