Zobrazeno 1 - 10
of 118
pro vyhledávání: '"Rani, Alex"'
Publikováno v:
Results in Engineering, Vol 23, Iss , Pp 102791- (2024)
Acoustic communication is the preferred method for underwater communication due to its superior propagation characteristics, including longer range, lower attenuation, better penetration, and adaptability to water density. However, challenges like va
Externí odkaz:
https://doaj.org/article/3bfba9fc118349d684bf6be9c8a56d43
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 103414- (2024)
Aphasia, a language disorder caused by brain injury, presents significant speech recognition and classification challenges due to irregular speech patterns. While the standard Grad-CAM (Gradient-weighted Class Activation Mapping) technique is widely
Externí odkaz:
https://doaj.org/article/0033e0da2ff544389a22e2c7263ce868
Autor:
Yori Pusparani, Chih-Yang Lin, Yih-Kuen Jan, Fu-Yu Lin, Ben-Yi Liau, Peter Ardhianto, Elvin Nur Furqon, John Sahaya Rani Alex, Jeetashree Aparajeeta, Chi-Wen Lung
Publikováno v:
IEEE Access, Vol 12, Pp 103830-103838 (2024)
The hippocampal region is one of the most affected brain areas observed as a landmark in Magnetic Resonance Imaging (MRI) images for Alzheimer’s disease (AD) diagnosis. The diminished alterations in the hippocampal and degeneration of cholinergic c
Externí odkaz:
https://doaj.org/article/2b8b58689d244a299f714e7a90af6d2f
Autor:
Yori Pusparani, Chih-Yang Lin, Yih-Kuen Jan, Fu-Yu Lin, Ben-Yi Liau, Peter Ardhianto, Isack Farady, John Sahaya Rani Alex, Jeetashree Aparajeeta, Wen-Hung Chao, Chi-Wen Lung
Publikováno v:
IEEE Access, Vol 11, Pp 61688-61697 (2023)
Alzheimer’s disease (AD) is a major public health priority. Hippocampus is one of the most affected areas of the brain and is easily accessible as a biomarker using MRI images in machine learning for diagnosing AD. In machine learning, using entire
Externí odkaz:
https://doaj.org/article/e5626a7651b84b348646483407b70123
Publikováno v:
Veterinary Medicine and Science, Vol 8, Iss 6, Pp 2593-2604 (2022)
Abstract Background Bovine mastitis continues to remain as the most challenging disease in dairy cattle, as a result improvement of selection methods has great economic relevance while a deeper understanding of the genetic mechanisms regulating milk
Externí odkaz:
https://doaj.org/article/4fcb850387684d61aef9ac6b877b9260
Autor:
A K DAS, ABHIJIT MITRA, RAVINDER KUMAR, UMESH SINGH, SUSHIL KUMAR, T V RAJA, RANI ALEX, K ANIL KUMAR, A S SIROHI, SIDDHARTHA SAHA
Publikováno v:
Indian Journal of Animal Sciences, Vol 93, Iss 2 (2023)
The present investigation was undertaken to determine the genetic worth of Frieswal (62.5% HF × 37.5% Sahiwal) young bulls through progeny testing under field conditions in Kerala state, India. A total of 65 Frieswal bulls were evaluated based on 10
Externí odkaz:
https://doaj.org/article/2687b5cc1f864e8fafe8e6ac03bc244f
Publikováno v:
Frontiers in Genetics, Vol 13 (2023)
Externí odkaz:
https://doaj.org/article/27e17f1c28a548ea9a9ae97f2b15b4d8
Autor:
Rani Alex, Lisa
Publikováno v:
Palestine Journal of Mathematics; 2024, Vol. 13 Issue 3, p385-391, 7p
Publikováno v:
PLoS ONE, Vol 17, Iss 5, p e0267800 (2022)
The premises for the potential success of molecular breeding is the ability to identify major genes associated with important dairy related traits. The present study was taken up with the objectives to identify single nucleotide polymorphism (SNP) of
Externí odkaz:
https://doaj.org/article/65838e35e55e43458a2e959bc72371bb
Autor:
Vikas Vohra, Supriya Chhotaray, Gopal Gowane, Rani Alex, Anupama Mukherjee, Archana Verma, Sitangsu Mohan Deb
Publikováno v:
Frontiers in Genetics, Vol 12 (2021)
Murrah breed of buffalo is an excellent dairy germplasm known for its superior milk quality in terms of milk fat and solids-not-fat (SNF); however, it is often reported that Indian buffaloes had lower lactation and fertility potential compared to the
Externí odkaz:
https://doaj.org/article/50dc917790674ed6bfc4bb38f3a865fb