The emerging convergence of AI-first design principles and environmental consciousness is reshaping how we think about ...

Abstract: In this letter, a machine learning-based algorithm, K-nearest neighbor, is employed to predict the actual patterns of the linear arrays with arbitrary positions and varied element numbers.

Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

Breast cancer diagnosis relies on imaging, yet conventional Doppler ultrasound possesses limitations in visualizing tumor microvasculature. This study aimed to compare Microvascular Flow imaging ...

Abstract: The non-contact continuous monitoring of biomarkers comprising breathing detection and heart rate are essential vital signs to evaluate the general physical health of a patient. As compared ...

Semiconductors are central to modern technology. They are used in computer chips, solar cells, sensors, LEDs and ...

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

The ever-growing world population is over-stressing the available resources leading to several social, economic, and environmental issues. The world is facing challenges related to the availability of ...