Zobrazeno 1 - 10
of 702
pro vyhledávání: '"S., CHANDANA"'
This presentation focuses on the importance of web crawling and page ranking algorithms in dealing with the massive amount of data present on the World Wide Web. As the web continues to grow exponentially, efficient search and retrieval methods becom
Externí odkaz:
http://arxiv.org/abs/2306.12027
Autor:
B. S. Chandana, Rohit Kumar Mahto, Rajesh Kumar Singh, Aditi Bhandari, Gitanjali Tandon, K. K. Singh, Sunita Kushwah, Gera Roopa Lavanya, Mir Asif Iquebal, Neelu Jain, Himabindu Kudapa, H. D. Upadhyaya, Aladdin Hamwieh, Rajendra Kumar
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
IntroductionThe chickpea (Cicer arietinum L.) is well-known for having climate resilience and atmospheric nitrogen fixation ability. Global demand for nitrogenous fertilizer is predicted to increase by 1.4% annually, and the loss of billions of dolla
Externí odkaz:
https://doaj.org/article/9c703a24a9a54daba905198d8cd06ca3
Autor:
E. M. D. V. Ekanayake, P. Mangala C. S. De Silva, T. D. K. S. C. Gunasekara, W. A. K. G. Thakshila, S. D. Gunarathna, R. A. I. Pinipa, Sudheera Jayasinghe, E. P. S. Chandana, E. S. Wijewickrama, Nishad Jayasundara
Publikováno v:
Canadian Journal of Kidney Health and Disease, Vol 10 (2023)
Background: Chronic kidney disease of uncertain etiology (CKDu) is an emergent health concern, particularly in tropical farming communities in several global hotspots, including Sri Lanka. This particular nephropathy is characterized by a progressive
Externí odkaz:
https://doaj.org/article/90544597a2894415bc858668336fef91
Autor:
T. D. K. S. C. Gunasekara, P. Mangala C. S. De Silva, E. M. D. V. Ekanayake, W. A. K. G. Thakshila, R. A. I. Pinipa, P. M. M. A. Sandamini, S. D. Gunarathna, E. P. S. Chandana, S. S. Jayasinghe, C. Herath, Sisira Siribaddana, Nishad Jayasundara
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract Pediatric renal injury is an emerging health concern in communities affected by chronic kidney disease of uncertain etiology (CKDu). Early detection of susceptibilities through highly sensitive and specific biomarkers can lead to effective t
Externí odkaz:
https://doaj.org/article/c3cf8bec14b248b2b39aa28dc43ca39c
Autor:
Rajesh Kumar Singh, Charul Singh, Ambika, B. S. Chandana, Rohit K. Mahto, Ranjana Patial, Astha Gupta, Vijay Gahlaut, Gayacharan, Aladdin Hamwieh, H. D. Upadhyaya, Rajendra Kumar
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
Legume crops provide significant nutrition to humans as a source of protein, omega-3 fatty acids as well as specific macro and micronutrients. Additionally, legumes improve the cropping environment by replenishing the soil nitrogen content. Chickpeas
Externí odkaz:
https://doaj.org/article/0f3dec99d9a3430e9508a4c86fc7a1d2
Autor:
B. S. Chandana, Rohit Kumar Mahto, Rajesh Kumar Singh, Rebecca Ford, Niloofar Vaghefi, Santosh Kumar Gupta, Hemant Kumar Yadav, Murli Manohar, Rajendra Kumar
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
Epigenomics has become a significant research interest at a time when rapid environmental changes are occurring. Epigenetic mechanisms mainly result from systems like DNA methylation, histone modification, and RNA interference. Epigenetic mechanisms
Externí odkaz:
https://doaj.org/article/13358f681ea144bcb059a728de9cfa85
Autor:
Rohit Kumar Mahto, Ambika, Charul Singh, B S. Chandana, Rajesh Kumar Singh, Shruti Verma, Vijay Gahlaut, Murli Manohar, Neelam Yadav, Rajendra Kumar
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
Globally more than two billion people suffer from micronutrient malnutrition (also known as “hidden hunger”). Further, the pregnant women and children in developing nations are mainly affected by micronutrient deficiencies. One of the most import
Externí odkaz:
https://doaj.org/article/bc58d1365c1449f59a704e80b076df0c
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
International Journal for Research in Applied Science and Engineering Technology. 10:1576-1590
PREDICTING PARKINSON’S DISEASE using XGBOOST ALGORITHM. In this project we will be using python to build a model using which we can accurately detect the presence of Parkinson’s disease in one’s body. XGBOOST algorithm is a technique for regres
Publikováno v:
Asian Journal of Medical Sciences; Mar2024, Vol. 15 Issue 3, p103-107, 5p