Zobrazeno 1 - 10
of 4 133
pro vyhledávání: '"K., KRISHNA"'
Publikováno v:
Asian Journal of Medical Sciences. Oct2024, Vol. 15 Issue 10, p169-173. 5p.
Autor:
K J Kavitha, K Krishna Prasad
Publikováno v:
International Journal of Electronics and Telecommunications, Vol vol. 70, Iss No 2, Pp 455-464 (2024)
This paper mainly concentrates and discusses on sugarcane crop, the variety of cane seeds available for sowing; various cane diseases and its early detection using different approaches. Machine Learning (ML) and Deep Learning (DL) techniques are used
Externí odkaz:
https://doaj.org/article/11d762dc0fbd4bac8da53137b9ae22aa
Publikováno v:
Journal of Pharmacy and Bioallied Sciences, Vol 16, Iss 6, Pp 1754-1760 (2024)
BackgroundApical microleakage is considered to be a common reason for the clinical failure of endodontic therapy. Three dimensional sealing of the root canal is one of the main goals of endodontic treatment and is essential for preventing reinfection
Externí odkaz:
https://doaj.org/article/2564eb7af86a45aab785d838cf9c7453
Publikováno v:
IEEE Access, Vol 12, Pp 175414-175444 (2024)
Biometric identification technologies are crucial for enhancing security through reliable personal authentication methods. Among these modalities, finger knuckle biometrics stands out for its distinctive and consistent features, offering a valuable a
Externí odkaz:
https://doaj.org/article/7346074a862249ab94b5c5215fa6172c
Publikováno v:
IEEE Access, Vol 12, Pp 173418-173440 (2024)
The use of finger veins for biometric authentication is increasingly popular; however, low-quality images present significant challenges that necessitate innovative approaches for accurate identification. This study investigates the effectiveness of
Externí odkaz:
https://doaj.org/article/a78ac118b5304655a26df60cdbd8d7eb
Publikováno v:
IEEE Access, Vol 12, Pp 126258-126284 (2024)
Effective cardiovascular health monitoring relies on precise electrocardiogram (ECG) analysis for early diagnosis and treatment of heart conditions. Recent advancements in deep learning, particularly through Convolutional Neural Networks (CNNs), have
Externí odkaz:
https://doaj.org/article/601b89f7ace54fb6a23d1736ce3a5317
Autor:
K. Krishna Kishore, Jami Venkata Suman, Madhavi Mallam, Mamidipaka Hema, Venkataramana Guntreddi
Publikováno v:
IEEE Access, Vol 12, Pp 104091-104101 (2024)
This research addresses the challenges of high Peak-to-Average Power Ratio (PAPR), sideband leakage, and spectrum efficiency in 5G wireless networks. We compare Universal Filtered Multi-Carrier (UFMC), Scrambled UFMC (S-UFMC), and Orthogonal Frequenc
Externí odkaz:
https://doaj.org/article/52a3012c52474c90825c266028d14a07
Publikováno v:
IEEE Access, Vol 12, Pp 64300-64334 (2024)
In the contemporary technological landscape, biometrics, encompassing the analysis of biological data, have gained significance. Biometrics is a methodology that utilize unique behavioral, physical, or morphological traits—such as speech, facial fe
Externí odkaz:
https://doaj.org/article/3387472d212d41f3ae817ca3e53e9b58
Autor:
Nayak, B Sathish1 (AUTHOR) sathishnayak52@gmail.com, Naik, K Krishna2 (AUTHOR), Ojjela, Odelu3 (AUTHOR), Pal, Surendra4 (AUTHOR)
Publikováno v:
Sādhanā: Academy Proceedings in Engineering Sciences. Sep2024, Vol. 49 Issue 3, p1-20. 20p.