Blood oxygen level-dependent functional magnetic resonance imaging (BOLD-fMRI) is a cornerstone of non-invasive brain function investigation, yet its ...
Abstract: Denoising electrocardiogram (ECG) signals is a critical task in arrhythmia analysis and diagnosis. However, traditional signal processing methods face limitations when addressing the ...
Abstract: DC arc faults in photovoltaic systems pose serious safety risks, including fire hazards and power disruption, making accurate and timely detection essential. This article presents PArcNet, a ...
Neural networks are algorithmic systems created based on the principle of the human nervous system. They consist of many ...
Abstract: Since the advent of Electronic Design Automation (EDA) in integrated circuit (IC) design, layout optimization has become a critical factor in determining chip performance, power consumption, ...
In a groundbreaking development at the intersection of artificial intelligence (AI) and medicine, Tobi Titus Oyekanmi, a ...
Abstract: In this article, a framework for the analog implementation of a deep convolutional neural network (CNN) is introduced and used to derive a new circuit architecture which is composed of an ...
Artificial intelligence has written novels, driven cars, and painted portraits. So, perhaps it was only a matter of time ...
Artificial intelligence has penned novels, navigated cars and crafted portraits. So, it was only a matter of time before it ...
Abstract: The diagnosis of skin disease is a critical area in healthcare, requiring high accuracy and reliability to ensure effective treatment. Traditional diagnostic methods often struggle with the ...
A recent review published in Engineering highlights particle vision analysis (PVA), a rapidly developing field at the intersection of artificial ...
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