Abstract: Atrial fibrillation (AF) is a major contributor to heart failure and stroke, emphasising the need for accurate and accessible detection methods, particularly for outpatient and low-resource ...
Abstract: Modern vehicles rely heavily on Controller Area Network (CAN) communication for time-critical functions such as engine control and powertrain management. As vehicles become increasingly ...
Abstract: Industrial defect images are often low-resolution and exhibit subtle texture variations, making fine-grained feature extraction particularly challenging. To address these issues, we propose ...
Abstract: To improve the fault diagnosis accuracy of synchronous condenser bearings, this study proposes an intelligent diagnostic method based on multi-domain feature fusion. First, vibration signals ...
The world’s most valuable company just sent another signal that AI agents are going to be everywhere
(CNN) — Tech giant Nvidia, the world’s most valuable company and the poster child of the AI boom, is banking its future on the rise of AI agents. The company on Monday announced a slew of software and ...
Abstract: This paper presents a comprehensive examination of speech analysis techniques, focusing on their applicability and performance in edge computing environments, particularly on single-board ...
ABSTRACT: Ultra-wide band (UWB) positioning technology has attracted increasing attention due to its high ranging accuracy. However, in indoor environments, non-line-of-sight (NLOS) signals ...
Anthropic’s new /btw feature for Claude Code offers a structured way to manage multitasking within a single session. According to Nick Saraev, this feature enables users to address secondary tasks ...
Abstract: The machine learning methods applied to code classification tasks that use Abstract Syntax Tree (AST) features has been explored in this study. The dataset includes parsed AST ...
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