Abstract: This study investigates the performance of discrete-time systems under quantized iterative learning control. An encoding–decoding mechanism is combined with a spherical polar ...

Computational optics represents a shift in approach where optical hardware and computational algorithms are designed to work together, enabling imaging capabilities that surpass those of traditional ...

Abstract: In this brief, the encoding-decoding-based state estimation problem is investigated for a class of state-saturated systems under buffer-aided mechanism where the wireless communication is ...

ABSTRACT: With the development of globalization and the advancement of technology, the exchanges and communication within multiple cultures become increasingly close and frequent. However, the ...

ABSTRACT: With the development of globalization and the advancement of technology, the exchanges and communication within multiple cultures become increasingly close and frequent. However, the ...

This study presents a useful method for the extraction of behaviour-related activity from neural population recordings based on a specific deep learning architecture, a variational autoencoder.

This image provides a complete visual guide to the autoencoder neural network, featuring five illustrations that detail each stage of the data encoding and decoding process. It serves as an ...

Unfortunately the available memory on Microcontrollers is quite restricted and we do not get very far by storing a (uncompressed) WAV file e.g. in program/flesh memory, so I started to look into ...

What Is An Encoder-Decoder Architecture? An encoder-decoder architecture is a powerful tool used in machine learning, specifically for tasks involving sequences like text or speech. It’s like a ...