This letter proposes a new AD technique called attention-based convolutional neural network (ACNN), designed to enhance AD performance in multispectral images of high spatial resolution for the ...

Intelligent Cyber-Physical Systems typically utilize sensors to gather a significant amount of raw data which often possesses temporal and high-dimensional characteristics. Ensuring the data ...

The application of advanced methods represented by deep learning in spectroscopy analysis promotes the development of chemometrics. Autoencoder networks (AEs) and convolutional neural networks (CNNs) ...

To effectively monitor and control the fermentation process, an accurate real-time measurement of important variables is necessary. However, given the complexity of microbial fermentation and the ...

June 23 (UPI) -- Food Network is honoring the late chef Anne Burrell with programming in her honor Wednesday. Burrell died Tuesday at her home in Brooklyn, N.Y.

Lastly, the paper offers scholarly rigor and foresight by addressing emerging challenges and charting a course for future research opportunities, providing valuable insights to researchers in the ...

An unsupervised autoencoder approach achieves moderate success for anomaly detection (accuracy = 0.881) but struggles with recall (0.070). These findings highlight the trade-off between detection ...