Zobrazeno 1 - 10
of 358
pro vyhledávání: '"Shriram K"'
Autor:
Akshay Bhuvaneswari Ramakrishnan, M. Sridevi, Shriram K. Vasudevan, R. Manikandan, Amir H. Gandomi
Publikováno v:
Informatics in Medicine Unlocked, Vol 44, Iss , Pp 101436- (2024)
A brain tumour is a malignant condition that spreads extremely quickly and requires rapid detection. In recent years, it has become apparent that deep learning is a promising technique for classifying brain tumours. To identify these tumours, this wo
Externí odkaz:
https://doaj.org/article/7a55e2947eff46099711b0eb054a1806
Publikováno v:
AKCE International Journal of Graphs and Combinatorics, Vol 16, Iss 1, Pp 8-17 (2019)
Some generalizations of the concept of a supplemented lattice, namely a soc-supplemented-lattice, soc-amply-supplemented-lattice, soc-weak-supplemented-lattice, soc--supplemented-lattice and completely soc--supplemented-lattice are introduced. Variou
Externí odkaz:
https://doaj.org/article/60690d2cb8d8419e840729a6ed7d08d9
Autor:
Marco Campisi, Shriram K. Sundararaman, Sarah E. Shelton, Erik H. Knelson, Navin R. Mahadevan, Ryohei Yoshida, Tetsuo Tani, Elena Ivanova, Israel Cañadas, Tatsuya Osaki, Sharon Wei Ling Lee, Tran Thai, Saemi Han, Brandon P. Piel, Sean Gilhooley, Cloud P. Paweletz, Valeria Chiono, Roger D. Kamm, Shunsuke Kitajima, David A. Barbie
Publikováno v:
Frontiers in Immunology, Vol 11 (2020)
Intratumoral recruitment of immune cells following innate immune activation is critical for anti-tumor immunity and involves cytosolic dsDNA sensing by the cGAS/STING pathway. We have previously shown that KRAS-LKB1 (KL) mutant lung cancer, which is
Externí odkaz:
https://doaj.org/article/348d85a40f0943e896d94e5eb485e66c
Autor:
Shriram K. Nimbhorkar, Rupal C. Shroff
Publikováno v:
Mathematica Bohemica, Vol 142, Iss 2, Pp 163-180 (2017)
The concept of a Goldie extending module is generalized to a Goldie extending element in a lattice. An element $a$ of a lattice $L$ with $0$ is said to be a Goldie extending element if and only if for every $b \leq a$ there exists a direct summand $c
Externí odkaz:
https://doaj.org/article/79142b3d12ed44909fd16b8b2ccccc4d
Promptable foundation models, particularly Segment Anything Model (SAM), have emerged as a promising alternative to the traditional task-specific supervised learning for image segmentation. However, many evaluation studies have found that their perfo
Externí odkaz:
http://arxiv.org/abs/2310.17128