(1) Integration with Artificial Intelligence and Machine Learning ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Abstract: Electroencephalography (EEG) is an effective assessment tool to identify autism spectrum disorders with low cost, and deep learning has been applied in EEG analysis for extracting meaningful ...

With artificial intelligence (AI) becoming an omnipresent focus of innovation in the healthcare sector, it should come as no ...

Ruinous fires across the West often lead to smoke-filled days with flames tearing through large swaths of natural land. While most of these fires are started by people, many fires start because of ...

In recent years, artificial intelligence has brought a major breakthrough in how we solve complex challenges in various workplaces. Generally, in healthcare, where these complex tasks and challenges ...

The integration of biological principles into artificial visual systems is advancing machine vision, enabling superior ...

Abstract: This paper presents an efficient reconfigurable parameterized convolutional neural network (CNN) accelerator designed for FPGA platforms. The core of the accelerator allows flexible ...

As artificial intelligence technology accelerates its penetration into various industries, Convolutional Neural Networks (CNN ...