Abstract: The Automated Fire Suppression System for Electrical Panel Enclosures presents an advanced IoT-driven solution for industrial fire safety, focusing on real-time hazard detection and ...
Abstract: With the development of neural network technology, Spiking Neural Networks (SNNs) have shown great potential in edge computing and embedded systems due to their biologically inspired and low ...
Abstract: Modular multilevel converter with embedded supercapacitor energy storage system (MMC-SCES) is a promising solution to the integration challenges posed by largescale renewable energy. Within ...
Abstract: Electrocardiogram (ECG) or Electrocardiography is the most popular heart function detection identification. Currently, ECG examinations can only be done in hospitals and require a specialist ...
Abstract: To address the challenges of low localization rate in robotic processor chips and data security risks associated with imported chips, this study develops an autonomous controllable robotic ...
Abstract: This paper describes the design and implementation of an ESP32-S3 based IoT device that integrates real-time gas safety monitoring with an AI-powered voice assistant, featuring enhanced user ...
Abstract: Conventional real-time scheduling methods for embedded operating systems primarily employ SCHED_FIFO and time-slice round-robin algorithms to acquire task resource features. However, their ...
Lawmakers argue the rule could make the web safer for children, while privacy advocates warn that OS-level age flags normalize user-level tracking. Share on Facebook (opens in a new window) Share on X ...
Abstract: This paper presents a lightweight deep learning approach for classifying and tracking finger positions based on surface electromyography (sEMG) signals, designed with a perspective of its ...
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