This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
AZoSensors on MSN
AI Maps Heat Inside Steelmaking’s Critical Sintering Process Beds
The Temporal Fusion Transformer model provides near-real-time insights into sintering temperatures, addressing critical ...
Abstract: Digital substations have significantly increased the accuracy of power grid operations thus advancing high efficiency and reliability in grid operations. While this advancement has brought ...
Abstract: Foot diseases such as plantar fasciitis and flat feet occur in millions of people worldwide, resulting in mobility problems and serious health complications. This paper presents an AI-based ...
This project focuses on predicting the Remaining Useful Life (RUL) of industrial components using both classical machine learning and deep learning techniques. The goal is to enable predictive ...
This project implements a Gait Anomaly Detection system using multiple deep learning models in an ensemble architecture, deployed via a Flask web application. It takes in a human walking video, ...
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