Introduction The escalating resistance of microorganisms to antimicrobials poses a significant public health threat. Strategies that use biomarkers to guide antimicrobial therapy—most notably ...
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 ...
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 ...
SALT LAKE CITY — A pair of Utah lawmakers in Washington are pushing to amend a nearly 30-year-old law governing online communications to hold technology companies accountable for harms caused by ...
Abstract: In this study we delve into the use of a combined machine learning model to counter the growing problems of hate speech on social media. Hate speech can significantly impact individuals, ...
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