MIT Technology Review

How I learned to stop worrying and love AI slop

Speaking with popular AI content creators convinces me that “slop” isn’t just the internet rotting in real time, but the ...
IEEE

Hybrid SVM-XGBoost Model for Cancer Prediction: A Comparative Study of Classification Algorithms

Abstract: Cancer prediction using machine learning is pivotal in advancing early diagnosis and treatment. This study introduces a hybrid SVM-XGBoost model that leverages SVM for feature extraction and ...
BMJ

Efficacy and safety of an algorithm using C-reactive protein to guide antibiotic therapy applied through a digital clinical decision support system: a study protocol for a ...

Introduction The escalating resistance of microorganisms to antimicrobials poses a significant public health threat. Strategies that use biomarkers to guide antimicrobial therapy—most notably ...
IEEE

Real-Time Peatland Fire Detection Using Infrared Cameras and SVM Algorithm

Abstract: This paper presents the development of an early detection system for peatland fires utilizing a quadcopter equipped with an infrared camera. The autonomous operation system is capable of ...
SciELO

Precision crack analysis in concrete structures using CNN, SVM, and KNN: a machine learning approach

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 ...