Researchers are developing an AI and IoT system to modernize Indian agriculture. This "smart farming" technology uses soil ...

Artificial intelligence is rapidly becoming one of the most lucrative and sought-after fields. The ongoing digital ...

Artificial intelligence is one of the fastest-growing and highest-paying fields today. The continued digitization of ...

Abstract: This paper presents a novel parallel convolution-self-attention neural network (PCSANN) based calibration scheme for Pipelined and Pipelined-SAR ADCs. Combining convolution neural network ...

Abstract: Stuttering is a common speech disorder which results in involuntary repetitions, prolongations, blocks or interjections while speaking. Detection and evaluation using traditional methods is ...

Blood oxygen level-dependent functional magnetic resonance imaging (BOLD-fMRI) is a cornerstone of non-invasive brain function investigation, yet its ...

Abstract: Predicting remaining useful life (RUL) plays a crucial role in the prognostics and health management of industrial systems that involve a variety of interrelated sensors. Given a constant ...

Abstract: Denoising electrocardiogram (ECG) signals is a critical task in arrhythmia analysis and diagnosis. However, traditional signal processing methods face limitations when addressing the ...

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 ...