Nahda Nabiilah is a writer and editor from Indonesia. She has always loved writing and playing games, so one day she decided to combine the two. Most of the time, writing gaming guides is a blast for ...
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 ...
1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...
Principal Zac Bauermeister, or Dr. B. as the kids call him, was dubbed the most popular principal in America this year after a video went viral with over 380 million views. Inside Edition was at ...
In February 2023, Shauna Haney, the principal of the 1,130-student Ogden High School north of Salt Lake City, was looking for ways to boost student engagement in class. As in schools nationwide, ...
Electronic components manufactured by U.S. companies are still turning up in Russian fighter jets via intermediary trade routes that experts say evade sanctions, a report has found. According to the ...
THE DRONES fly thick and fast towards Kyiv these days. Almost 500 were fired in a recent Russian attack on Ukraine’s capital, in the early hours of June 10th. Volodymyr Zelensky, Ukraine’s president, ...
Use of a large language model (LLM) for pan-cancer automated detection of anti-cancer therapy toxicities and translational toxicity research. Computational pathology to predict docetaxel benefit in ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Microplastics persist as ubiquitous environmental contaminants, and efficient methods ...
Principal component analysis (PCA) is one of the most common exploratory data analysis techniques with applications in outlier detection, dimensionality reduction, graphical clustering, and ...
Chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy. By using robotics to prepare thousands of samples and ...
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