Neural network models, celebrated for their outstanding scalability and computational
capabilities, have demonstrated remarkable performance across various fields such as …

Compact and robust deep learning architecture for fluorescence lifetime imaging and FPGA
implementation - IOPscience Skip to content IOP Science home Accessibility Help Search …

The electronic nose (e-nose) consists of a sensor array, a pattern recognition engine, and
peripheral circuitry, where the pattern recognition engine performs gas classification. The …

A method for accessing and processing data by an accelera tor apparatus includes
retrieving at least a part of input data to be processed by the accelerator apparatus …

This study explores the implementation of lightweight binary classification algorithms on low-
cost Field-Programmable Gate Arrays (FPGAs) for medical image analysis. Recognizing the …

In this paper, we present several resource-efficient algorithmic solutions regarding the fully
parallel hardware implementation of the basic filtering operation performed in the …

요 약본 논문에서는 동적 저궤도 위성 네트워크 라우팅 알고리즘의 OBC (On-Board Computer)
적용 문제를 다룬다. 저궤도 위성 간 연결상태가 동적으로 변하는 네트워크에서 라우팅을 위해 …

Abstract DNNs (Deep Neural Networks) have solved various deep learning tasks, including
classification problems, natural language processing, and speech recognition. However, this …

Глубокое обучение, отрасль машинного обучения, ориентированная на использование
искусственных нейронных сетей, является одной из самых востребованных и …

An arithmetic device includes a first register that stores input data as values of a plurality of
input neurons, a plurality of ports, and a plurality of processing element groups that …