Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...
Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...
Researchers at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) and Uniklinikum Erlangen have succeeded in preserving brain tissue through extreme deep freezing. After thawing, the neurons ...
This paper proposes a multi-modal deep learning framework for Arabic Sign Language (ArSL) recognition, addressing the challenges of both static and dynamic gesture recognition. The framework ...
Grocery chain Wegmans’ expanding use of facial recognition technology in New York City is reigniting debates over consumers’ privacy rights and retailers’ interest in safeguarding their stores. But ...
Edge-Enabled Human Activity Recognition Using Hybrid Deep Learning and Multi-Sensor Wi-Fi CSI Arrays
Abstract: Recent advances in wireless sensing have positioned Wi-Fi Channel State Information (CSI) as a promising modality for human activity recognition (HAR), offering a cost-effective and ...
Abstract: This study presents an accurate and efficient approach to fitness activity recognition by combining inertial measurement unit (IMU) sensor data with deep learning techniques. We propose a ...
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