Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Ayesha Choudhary"'
Autor:
Shabana Mushtaq, Muhammad Javad Yousaf, Amir Rashid, Wasim Wali, Asifa Majeed, Ayesha Choudhary
Publikováno v:
Pakistan Armed Forces Medical Journal, Vol 69, Iss 2, Pp 268-272 (2019)
Objective: To evaluate and compare lipid profile of diabetic neuropathic patients and diabetic patients without neuropathy. Study Design: Cross-sectional comparative study. Place and Duration of Study: The study was conducted at Multidisciplina
Externí odkaz:
https://doaj.org/article/64874e26831e408b9f5438b967cd78ed
Autor:
Ayesha Choudhary, Santanu Chaudhury
Publikováno v:
IET Computer Vision, Vol 10, Iss 4, Pp 237-249 (2016)
Video, rich in visual real‐time content, is however, difficult to interpret and analyse. Video collections necessarily have large data volume. Video analytics strives to automatically discover patterns and correlations present in the large volume o
Externí odkaz:
https://doaj.org/article/0b3dadb621ab4c9ba419c2f81b08bcfc
Autor:
Saroj Kumar, Ayesha Choudhary
Publikováno v:
2022 2nd International Conference on Emerging Smart Technologies and Applications (eSmarTA).
Autor:
Ayesha Choudhary, Bindu Verma
Publikováno v:
Multimedia Tools and Applications. 80:14019-14040
The emotional state of a person is important to understand their affective state. Affective states are an important aspect of our being “human”. Therefore, for man-machine interaction to be natural and for machines to understand people, it is bec
Autor:
Muhammad Hamayun Khan, Asim Shafi, Wasim Ahmad, Irum Batool Hashmi, Ayesha Choudhary, Moniza Imran
Publikováno v:
Pakistan Journal of Medical and Health Sciences. 15:1934-1936
Objective: The aim of this study is to determine the efficacy of preoperative misoprostal in reducing hemorrhage during abdominal myomectomy. Study Design: Prospective comparative randomized double blinded Place and Duration: Conducted at DHQ Zanana
Autor:
Ayesha Choudhary, Any Gupta
Publikováno v:
Autonomous Driving and Advanced Driver-Assistance Systems (ADAS) ISBN: 9781003048381
Autonomous Driving and Advanced Driver-Assistance Systems (ADAS)
Autonomous Driving and Advanced Driver-Assistance Systems (ADAS)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::535434c41f82a573294052f31e5aa552
https://doi.org/10.1201/9781003048381-7
https://doi.org/10.1201/9781003048381-7
Autor:
Ayesha Choudhary, Bindu Verma
Publikováno v:
Multimedia Tools and Applications. 79:2213-2237
In this paper, we propose a novel Grassmann manifold based framework for dynamic hand gesture recognition from depth data. Automated dynamic hand gesture recognition is important for improving man-machine communication and understanding human behavio
Publikováno v:
INFOCOMP Journal of Computer Science; Vol. 20 No. 1 (2021): June 2021
INFOCOMP: Jornal de Ciência da Computação
Universidade Federal de Lavras (UFLA)
instacron:UFLA
INFOCOMP: Jornal de Ciência da Computação
Universidade Federal de Lavras (UFLA)
instacron:UFLA
Detecting the fall of a person in indoor environment is a challenging issue especially for elderly and sick living alone. Cameras can continuously observes the scene and require little interaction with the user and therefore, are well suited for fall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::11fd704ab0437ee8472d3ea954015c02
https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/1327
https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/1327
Autor:
Pramod Kumar Soni, Ayesha Choudhary
Publikováno v:
Image and Vision Computing. 122:104431
Autor:
Any Gupta, Ayesha Choudhary
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030493448
SoCPaR
SoCPaR
We propose a novel method for detection and classification of markings on the surface of the road using a camera placed inside the vehicle. Road surface markings can be defined as the text and symbol drawn on the road surface such as, stop signs, zeb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff5c8b014689f3188e25d5f6f5a84048
https://doi.org/10.1007/978-3-030-49345-5_3
https://doi.org/10.1007/978-3-030-49345-5_3