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SONIC: Synergizing VisiON Foundation Models for Stress RecogNItion from ECG signals

Autor: Phukan, Orchid Chetia, Das, Ankita, Buduru, Arun Balaji, Sharma, Rajesh

Stress recognition through physiological signals such as Electrocardiogram (ECG) signals has garnered significant attention. Traditionally, research in this field predominantly focused on utilizing handcrafted features or raw signals as inputs for le

Externí odkaz: http://arxiv.org/abs/2404.00827

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Performance Characterization of Containerized DNN Training and Inference on Edge Accelerators

Autor: K., Prashanthi S., Hegde, Vinayaka, Patchava, Keerthana, Das, Ankita, Simmhan, Yogesh

Edge devices have typically been used for DNN inferencing. The increase in the compute power of accelerated edges is leading to their use in DNN training also. As privacy becomes a concern on multi-tenant edge devices, Docker containers provide a lig

Externí odkaz: http://arxiv.org/abs/2312.07220

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Hesitancy, Awareness and Vaccination: A Computational Analysis on Complex Networks

Autor: Mallick, Dibyajyoti, Ray, Aniruddha, Das, Ankita, Ghosh, Sayantari

Considering the global pandemic of coronavirus disease 2019 (COVID-19), around the world several vaccines are being developed. Till now, these vaccines are the most effective way to reduce the high burden on the global health infrastructure. However,

Externí odkaz: http://arxiv.org/abs/2302.10474

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