Zobrazeno 1 - 10
of 2 637
pro vyhledávání: '"P. Guleria"'
Class imbalance in training datasets can lead to bias and poor generalization in machine learning models. While pre-processing of training datasets can efficiently address both these issues in centralized learning environments, it is challenging to d
Externí odkaz:
http://arxiv.org/abs/2410.21192
Publikováno v:
Human Pathology: Case Reports, Vol 20, Iss , Pp 200363- (2020)
Externí odkaz:
https://doaj.org/article/e1a0c921789c4a11834598b18bcd8094
In this work we study the E1 decay processes, $^3P_1$ $\rightarrow$ $^3S_1\gamma$, and $^3S_1$ $\rightarrow$ $^3P_1\gamma$ in the framework of Bethe-Salpeter equation and calculate their decay widths. We have used algebraic forms of Salpeter wave fun
Externí odkaz:
http://arxiv.org/abs/2402.15856
Publikováno v:
BMC Digital Health, Vol 2, Iss 1, Pp 1-8 (2024)
Abstract Background The healthcare sector is rapidly integrating artificial intelligence-derived predictive models (AIDPM) to enhance clinical decision support, operational efficiency, and patient experiences. However, research on management strategi
Externí odkaz:
https://doaj.org/article/e35b9553e6714c518af92dd8c2279788
Publikováno v:
Electronic Journal of Plant Breeding, Vol 15, Iss 3, Pp 538-545 (2024)
This study was conducted to evaluate the combining ability of newly acquired maize inbred lines over the environments. Twenty-eight crosses developed by crossing eight elite inbreds in a half-diallel mating design were evaluated during kharif, 2019 f
Externí odkaz:
https://doaj.org/article/12efc71f76c14d56a6e0b308f90b08ed
Autor:
Guleria, Shan, Schwartz, Benjamin, Sharma, Yash, Fernandes, Philip, Jablonski, James, Adewole, Sodiq, Srivastava, Sanjana, Rhoads, Fisher, Porter, Michael, Yeghyayan, Michelle, Hyatt, Dylan, Copland, Andrew, Ehsan, Lubaina, Brown, Donald, Syed, Sana
Introduction: Technical burdens and time-intensive review processes limit the practical utility of video capsule endoscopy (VCE). Artificial intelligence (AI) is poised to address these limitations, but the intersection of AI and VCE reveals challeng
Externí odkaz:
http://arxiv.org/abs/2308.13035
Publikováno v:
International Journal of Mathematical, Engineering and Management Sciences, Vol 9, Iss 6, Pp 1330-1356 (2024)
An online distributed system which is helpful for users to contribute their surplus resources to handle the wide range of tasks is called volunteer computing. In Volunteer Computing System (VCS) technology, there exists heterogeneous devices which va
Externí odkaz:
https://doaj.org/article/14f4ac1b2ff9479fbedd2905dc79f352
Publikováno v:
Egyptian Journal of Medical Human Genetics, Vol 25, Iss 1, Pp 1-16 (2024)
Abstract Background Esophageal cancer is the eleventh most common cancer and is the seventh leading cause of mortality worldwide. Vascular endothelial growth factor (VEGF) and its receptors pathway are a key regulator of angiogenesis and play an impo
Externí odkaz:
https://doaj.org/article/452e63956de345bfb5c89f597463f05b
Autor:
Vidushi Rathi, Pawan Tiwari, Sandeep Seth, Vijay Hadda, Karan Madan, Shubham Agarwal, Arti Vij, Milind Hote, Manoj Sahu, Saurabh Mittal, Randeep Guleria, Shivam Pandey, Ravindra M. Pandey, Anant Mohan
Publikováno v:
Lung India, Vol 41, Iss 4, Pp 265-271 (2024)
Introduction Lung transplant (LTx) is a potential treatment option for all patients with chronic, end-stage respiratory disease, who are refractory to optimal medical therapy or where no medical therapy exists. In India, LTx is still in its evolving
Externí odkaz:
https://doaj.org/article/08aa34b355084f949202fb0ed44ad34d
Publikováno v:
Egyptian Journal of Medical Human Genetics, Vol 25, Iss 1, Pp 1-12 (2024)
Abstract Background Gastrointestinal tract (GIT) cancers are complex disorders affecting millions of people worldwide. The vascular endothelial growth factor (VEGF) helps in the development of different GIT cancers by promoting abnormal angiogenesis
Externí odkaz:
https://doaj.org/article/80e2ac7c2d8c49f0945f7832e09d480b