Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Askat Kuzdeuov"'
Autor:
Darkhan Zholtayev, Daniyar Dauletiya, Aisulu Tileukulova, Dias Akimbay, Manat Nursultan, Yersaiyn Bushanov, Askat Kuzdeuov, Azamat Yeshmukhametov
Publikováno v:
IEEE Access, Vol 12, Pp 119520-119534 (2024)
In the contemporary world, inspection operations have become a critical component of infrastructure maintenance. Over the years, the demand for comprehensive inspection of pipes, both internally and externally, has grown increasingly complex and chal
Externí odkaz:
https://doaj.org/article/257e49f120394792a87a51ff9ca78184
Publikováno v:
Sensors, Vol 24, Iss 18, p 5993 (2024)
Accurate face detection and subsequent localization of facial landmarks are mandatory steps in many computer vision applications, such as emotion recognition, age estimation, and gender identification. Thanks to advancements in deep learning, numerou
Externí odkaz:
https://doaj.org/article/6581c3a47188467495ae05a46d7ec34b
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 2, Pp 111-117 (2021)
Goal: The COVID-19 pandemic has emerged as the most severe public health crisis in over a century. As of January 2021, there are more than 100 million cases and 2.1 million deaths. For informed decision making, reliable statistical data and capable s
Externí odkaz:
https://doaj.org/article/1d12e987ed154e3fa9730b00e53d78b1
Publikováno v:
IEEE Access, Vol 7, Pp 63472-63484 (2019)
Tensegrity structures emerged initially as an art form, have recently gained substantial interest among engineering researchers. The distinctive attribute of these structures is using pretensioned tensile elements connected to rigid bars to establish
Externí odkaz:
https://doaj.org/article/b91ffcd6b3d342e9bfd4107e304582cf
Autor:
Madina Abdrakhmanova, Askat Kuzdeuov, Sheikh Jarju, Yerbolat Khassanov, Michael Lewis, Huseyin Atakan Varol
Publikováno v:
Sensors, Vol 21, Iss 10, p 3465 (2021)
We present SpeakingFaces as a publicly-available large-scale multimodal dataset developed to support machine learning research in contexts that utilize a combination of thermal, visual, and audio data streams; examples include human–computer intera
Externí odkaz:
https://doaj.org/article/28d84a31034d4d66a85b70c3fdf4331a
Speech Command Recognition (SCR) is rapidly gaining prominence due to its diverse applications, such as virtual assistants, smart homes, hands-free navigation, and voice-controlled industrial machinery. In this paper, we present a data-centric approa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::066549318588a55dc7f584984bb1279a
https://doi.org/10.36227/techrxiv.22717657
https://doi.org/10.36227/techrxiv.22717657
Visually impaired and blind people often face a range of socioeconomic problems that can make it difficult for them to live independently and participate fully in society. Advances in machine learning pave new venues to implement assistive devices fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ce98266a17c8cbcffe37d2250a7085e
https://doi.org/10.36227/techrxiv.22133894.v1
https://doi.org/10.36227/techrxiv.22133894.v1
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 25:4317-4327
Accurate modeling provides a means by which a complex problem can be examined for informed decision-making. We present a particle-based SEIR epidemic simulator as a tool to assess the impact of vaccination strategies on viral propagation and to model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51ee9ecdbc781ac10d62a5e505c2309b
https://doi.org/10.1109/jbhi.2021.3114180
https://doi.org/10.1109/jbhi.2021.3114180
Face detection is a mandatory step in many computer vision applications, such as face recognition, emotion recognition, age detection, virtual makeup, and vital sign monitoring. Thanks to advancements in deep learning and the introduction of annotate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8af914f27627035eca9bdf3aac841e8d
https://doi.org/10.36227/techrxiv.21656993.v1
https://doi.org/10.36227/techrxiv.21656993.v1
Publikováno v:
IEEE Sensors Journal. 20:3655-3666
In this paper, we present a pose estimation strategy for the end effector of a tensegrity manipulator, based on the use of an extended Kalman filter and a deep feedforward neural network with three hidden layers. Our scheme is based on the fusion of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8645dc2783d51dc6412179a25e5804ca
https://doi.org/10.1109/jsen.2019.2959574
https://doi.org/10.1109/jsen.2019.2959574