Abstract: Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current ...
Abstract: Forensic audio transcription is often compromised by low-quality recordings, where indistinct speech can hinder the accuracy of conventional Automatic Speech Recognition (ASR) systems. This ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Spectroscopic analysis is essential in modern astronomy, as spectra encode a wealth of physical information through their characteristic features, such as absorption and emission lines. These spectral ...
A Global Problem: The research suggests that up to 50% of the world's population, around 4 billion people, rely on washing clothes by hand. This burden is most concentrated in low and middle income ...
What if the skills you choose to learn today could determine your career trajectory in 2025? The field of machine learning is evolving at a breakneck pace, and with it comes a growing demand for ...
Graphics Cards Behold the future of PC gaming: Upscaled 77p potatovision—and it's not quite as awful as you imagine Processors AMD's unannounced dual-CCD 3D V-Cache monster chip appears in official ...
The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...
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