Zobrazeno 1 - 10
of 611
pro vyhledávání: '"M. Nasrabadi"'
Publikováno v:
Ain Shams Engineering Journal, Vol 9, Iss 4, Pp 1663-1669 (2018)
In order to protect hydraulic structures against scouring, engineers have designed and used many different types of countermeasures. In this paper, local scour downstream of a rigid apron using a bed sill is studied. The main objective of the present
Externí odkaz:
https://doaj.org/article/49a92f6aa2df4c8baba5f35d7e5517c5
Publikováno v:
بهداشت و ایمنی کار, Vol 5, Iss 4, Pp 23-36 (2015)
Introduction: By industrialization, work-related accidents emerged as one of the most threatening factors of human life therefore analyzing the causes of accidents and providing control measures to prevent reoccurrence of similar accidents are of cru
Externí odkaz:
https://doaj.org/article/191ffb6af94d46588947705dd4af6a48
Autor:
Chowdhury Mohammad Abid Rahman, Ghadendra Bhandari, Nasser M. Nasrabadi, Aldo H. Romero, Prashnna K. Gyawali
Publikováno v:
Frontiers in Materials, Vol 11 (2024)
Machine learning (ML) models have emerged as powerful tools for accelerating materials discovery and design by enabling accurate predictions of properties from compositional and structural data. These capabilities are vital for developing advanced te
Externí odkaz:
https://doaj.org/article/769efd3b70da4da6a1005e3b76b1c0b5
Autor:
Brandon G. Rasman, Jean-Sébastien Blouin, Amin M. Nasrabadi, Remco van Woerkom, Maarten A. Frens, Patrick A. Forbes
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-20 (2024)
Abstract Humans receive sensory information from the past, requiring the brain to overcome delays to perform daily motor skills such as standing upright. Because delays vary throughout the body and change over a lifetime, it would be advantageous to
Externí odkaz:
https://doaj.org/article/24b3323c5699459bb59d747fcc8d97b4
Publikováno v:
IEEE Access, Vol 11, Pp 82709-82727 (2023)
Using fingerphoto images acquired from mobile cameras, low-quality sensors, or crime scenes, it has become a challenge for automated identification systems to verify the identity due to various acquisition distortions. A significant type of photometr
Externí odkaz:
https://doaj.org/article/1a81969a74ea4673b26053f9e916715a
Publikováno v:
IEEE Access, Vol 11, Pp 24281-24298 (2023)
Morph detection is of paramount significance when the integrity of Automatic Face Recognition (AFR) systems is concerned. Considering the risks incurred by morphing attacks, a robust automated morph detector is required which can distinguish authenti
Externí odkaz:
https://doaj.org/article/9d9c528f7d144a199aee3ef3c3110177
Autor:
Sahar Rahimi Malakshan, Mohammad Saeed Ebrahimi Saadabadi, Moktari Mostofa, Sobhan Soleymani, Nasser M. Nasrabadi
Publikováno v:
IEEE Access, Vol 11, Pp 11238-11253 (2023)
State-of-the-art deep learning-based Head Pose Estimation (HPE) techniques have reached spectacular performance on High-Resolution (HR) face images. However, they still fail to achieve expected performance on low-resolution images at large scales. Th
Externí odkaz:
https://doaj.org/article/24bf138539e5430994802a06556702e6
Publikováno v:
Sensors, Vol 23, Iss 18, p 7806 (2023)
Long-range target detection in thermal infrared imagery is a challenging research problem due to the low resolution and limited detail captured by thermal sensors. The limited size and variability in thermal image datasets for small target detection
Externí odkaz:
https://doaj.org/article/cc376b86696648b1ba1ad7cc99a1ca50
Autor:
Calvin Z. Qiao, Amin M. Nasrabadi, Reza Partovi, Paul Belzner, Calvin Kuo, Lyndia C. Wu, Jean-Sébastien Blouin
Publikováno v:
IEEE Robotics and Automation Letters. 8:3948-3955
This book provides the reader with a unique opportunity to understand the basic and applied research and technology areas that support applications to enable Transformational capabilities for US Soldiers. The research papers are in line with the them