We asked doctors which kind of thermometer is the most accurate, and selected the best options for home use from brands like ...

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

Analyzing stochastic cell-to-cell variability can potentially reveal causal interactions in gene regulatory networks.

The Temporal Fusion Transformer model provides near-real-time insights into sintering temperatures, addressing critical ...

NOAA is using those traditional forecasting models as frameworks for its new AI forecasting systems. The agency has estimated ...

Before you list your home or condo for sale, consider hiring a home stager to make a great first impression. As a result, it ...

The dynamics of soil organic carbon (SOC) play a critical role in the global carbon cycle. In context of global warming, ...

Japanese urban hubs currently exhibit high demand for ultra-fast grocery delivery. Innovative platforms utilize dense dark store networks. Consumers prioritize reliability, driving massive adoption of ...

The novel design for the new qubit uses the chemical element tantalum in tandem with a special silicon substrate, creating ...

Background Global warming poses a significant threat to human mental health, with disproportionate effects on vulnerable and ...