Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Suratgar, Amirabolfazl"'
This paper proposes a hybrid fusion-based deep learning approach based on two different modalities, audio and video, to improve human activity recognition and violence detection in public places. To take advantage of audiovisual fusion, late fusion,
Externí odkaz:
http://arxiv.org/abs/2408.02033
Autor:
Behvandi, Milad, Havakhah, Seyed Jalil, Parvar, Mohsen Laleh, Haseli, Massih, Suratgar, Amirabolfazl
In this paper, a legless capsule robot (capsubot) comprised of a sealed external body, an internal body, and a rotational actuator is proposed. The aim of this robot is to move in a two-dimensional viscous environment. After the robot is designed and
Externí odkaz:
http://arxiv.org/abs/1909.00539
Magnetic resonance images (MRI) play an important role in supporting and substituting clinical information in the diagnosis of multiple sclerosis (MS) disease by presenting lesion in brain MR images. In this paper, an algorithm for MS lesion segmenta
Externí odkaz:
http://arxiv.org/abs/1804.03282