Abstract: Classical clustering methods such as k-means, spectral clustering, DBSCAN, and DPC often operate under specific assumptions about data characteristics. However, the increasing diversity and ...

Discover the future of satellite technology with space computing power networks (Space-CPN). This innovative architecture ...

Others leverage AI to monitor customer journeys, identify pain points, and provide seamless virtual assistance. These ...

Overview: Prior knowledge of the size and composition of the Python dataset can assist in making informed choices in programming to avoid potential performance ...

The field of functional and fortified foods is rapidly expanding as consumers seek products that offer health benefits beyond basic nutrition. However, ...

This course explores the foundations of wearable technology and how it shapes healthcare, fitness, and everyday human–computer interaction today. You will learn how sensor data, signal processing, and ...

Learn more about eLife assessments Blood flow to the brain is a sensitive marker of neuronal activity as well as of a number of diseases, including stroke, tumours and neurodegenerative conditions.

The United States led global production of rare earth elements (REEs) until the mid-1990s, when China emerged as the dominant supplier. China maintained near-total control of the market until 2012.

Extract, Transform, Load (ETL) is a primary data processing method that plays a crucial role in converting raw data into actionable insights. By ensuring that data is collected, processed and ...

Q.ANT's new chip uses photon power in a bid to solve AI's big energy issue. It's also 50 times faster than silicon-based equivalents, the company says. When you purchase through links on our site, we ...

Full-waveform inversion (FWI) can provide accurate velocity field for fine imaging in depth domain of seismic data. Its mathematics foundation determines that FWI is a strong nonlinearity with the ...