Abstract: Epilepsy is a widespread neurological disorder affecting approximately 50 million individuals globally, with a disproportionately high burden in low- and middle-income countries. It is ...
This project implements a hybrid deep learning model combining Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks for human activity recognition using sensor data from ...
Abstract: Multiple approaches aim to enhance user experience in the delivery of immersive video content. The popularisation of VR, combined with recent advances in mulsemedia technology has improved ...
Israel became the first country to formally recognize the self-declared Republic of Somaliland as an independent and sovereign state on Friday – a decision that could reshape regional dynamics and ...
Abstract: Fiber Bragg Grating (FBG) sensing systems have demonstrated strong potential for distributed vibration monitoring, yet recognizing mixed intrusion events remains challenging due to the ...
Abstract: Speech emotion recognition (SER) in health applications can offer several benefits by providing insights into the emotional well-being of individuals. In this work, we propose a method for ...
Abstract: Speech emotion recognition (SER) technology has broad applications in healthcare, including enhancing patient monitoring, supporting mental health diagnosis, and improving human-computer ...
Abstract: With the increasingly complex and changeable electromagnetic environment, wireless communication systems are facing jamming and abnormal signal injection, which significantly affects the ...
It’s time to uncork the prosecco and maybe order a plate of tagliatelle al ragù for the table. Italy has a very tasty reason to celebrate: Its national cuisine has become the first entire gastronomic ...
Abstract: Convolutional neural networks (CNNs) can automatically learn data patterns to express face images for facial expression recognition (FER). However, they may ignore effect of facial ...
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