Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Md. Farukh Hashmi"'
Publikováno v:
The Imaging Science Journal. 71:142-160
Publikováno v:
Materials Today: Proceedings. 47:6991-6995
Due to the rapidly growing technological advancements especially in the field of data science and associated technologies like the Internet of things, the safety concern of important data is widespread. Data collection and exchange have achieved grea
Autor:
B. Thulasya Naik, Md. Farukh Hashmi
Publikováno v:
Journal of Electronic Imaging. 32
Publikováno v:
2021 Sixth International Conference on Image Information Processing (ICIIP).
Publikováno v:
2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO).
This paper proposes a digital image compression-encryption scheme based on the theory of singular value decomposition, multiple chaos and Beta function, which uses SVD to compress the digital image and utilizes three way protections for encryption vi
Publikováno v:
International Conference on Mobile Computing and Sustainable Informatics ISBN: 9783030497941
A branch of artificial intelligence [AI] which is computer vision is showing tremendous potential in solving real-time problems in the recent years. It is achieved using deep learning which is the most advanced domain in the computing system. Compute
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10d9869602f50249d13acf95fb92e88c
https://doi.org/10.1007/978-3-030-49795-8_63
https://doi.org/10.1007/978-3-030-49795-8_63
Publikováno v:
ACIT
Contactless authentication has become a trending topic these days, especially in this Corona pandemic situation, where contactless access systems are precautionary steps. The two most important contactless authentication systems right now are facial
Publikováno v:
International Conference on Intelligent Computing and Smart Communication 2019 ISBN: 9789811506321
In this article, a comparative analysis has been done among embedded firmware for IoT devices. IoT devices require very precise and real-time firmware which help to optimize the task execution. Therefore, customized Linux-based firmware has been buil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b88f76ddcd9860bdd7e014ecfac8046
https://doi.org/10.1007/978-981-15-0633-8_143
https://doi.org/10.1007/978-981-15-0633-8_143
Autor:
Mahesh Radhakrishnan, Avinash G. Keskar, Radhika Swarnkar, P. M. Shyam Prasad, Md. Farukh Hashmi, K. Visnu Prasad
Publikováno v:
2017 IEEE 7th International Advance Computing Conference (IACC).
Steady State Visually Evoked Potential (SSVEP) is one of the most popularly used signals in Brain Computer Interface (BCI) applications. A new method to detect SSVEP signals of three different frequencies (6Hz, 8Hz and 15Hz) has been proposed. This m