In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Discover how artificial intelligence is transforming influenza vaccine development, accelerating timelines and improving ...

Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using ...

The primary goal of this project is to leverage machine learning algorithms to predict the likelihood of an individual developing lung cancer. By examining key patient data points and employing data ...

Imagine having a super-powered lens that uncovers hidden secrets of ultra-thin materials used in our gadgets. Research led by University of Florida engineering professor Megan Butala enables a novel ...

Netflix has partnered with Lionsgate to produce a brand-new sci-fi action movie starring Alan Ritchson, who is becoming a highly sought-after action star. Filming concluded in late 2024 and is ...

Functional architecture of the proposed wristband, including mainly five primary components: the ALL-PSU sensing unit, signal extraction and preprocessing, machine learning models, and PSD analysis.

In this project, we leverage the power of artificial intelligence in healthcare to predict lung cancer risks. By employing various machine learning techniques, we aim to assist medical professionals ...

Abstract: With the rapid advancements in deep learning, IoT intrusion detection systems have increasingly adopted deep learning models as the state-of-the-art solution due to their ability to handle ...

Abstract: Satellite reliability is critical to ensuring uninterrupted operations in aerospace systems, where anomalies can lead to mission failures and significant economic losses. Existing anomaly ...