Zobrazeno 1 - 10
of 9 948
pro vyhledávání: '"P. Ramalingam"'
Autor:
E. Bhargav, Nawaz Mohammed, Udit Narayan Singh, P. Ramalingam, Ranadheer Reddy Challa, Bhaskar Vallamkonda, Sheikh F. Ahmad, Prasanth DSNBK, Praveen Kumar Pasala, Mithun Rudrapal
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e37430- (2024)
This study aimed to enhance the efficacy of quercetin (QT) by formulating it into a liposomal drug delivery system utilizing the concept of central composite design. The drug:lipid ratio, cholesterol concentration, and sonication time were selected a
Externí odkaz:
https://doaj.org/article/5dcd90130e0a4dd8a9bfbedbd6a0fa2a
Autor:
M. Malarvannan, K. Vinod Kumar, Y. Padmanabha Reddy, Pallaprolu Nikhil, Dande Aishwarya, V. Ravichandiran, P. Ramalingam
Publikováno v:
Future Journal of Pharmaceutical Sciences, Vol 9, Iss 1, Pp 1-42 (2023)
Abstract Background Today, artificial intelligence-based computational approach is facilitating multitasking and interdisciplinary analytical research. For example, the data gathered during an analytical research project such as spectral and chromato
Externí odkaz:
https://doaj.org/article/7ea4c530495f42d7a82ac138e4bebd7d
Autor:
Surendra Rajit Prasad, Prakash Kumar, Saptarshi Mandal, Anu Mohan, Radhika Chaurasia, Ashish Shrivastava, Pallaprolu Nikhil, Dande Aishwarya, P. Ramalingam, Rahul Gajbhiye, Shriya Singh, Arunava Dasgupta, Mukesh Chourasia, V. Ravichandiran, Prolay Das, Debabrata Mandal
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-19 (2022)
Abstract We evaluated the anti-leishmanial efficacy of different saturated medium-chain fatty acids (FAs, C8–C18) where FA containing C8 chain, caprylic acid (CA), was found to be most potent against Leishmania donovani, the causative agent for vis
Externí odkaz:
https://doaj.org/article/a1c1e3cab80342288fdf372b1c2054b0
Autor:
E. Bhargav, G. Chaithanya Barghav, Y. Padmanabha Reddy, Chintamaneni Pavan kumar, P. Ramalingam, C. Haranath
Publikováno v:
Future Journal of Pharmaceutical Sciences, Vol 6, Iss 1, Pp 1-13 (2020)
Abstract Background The present study was aimed to enhance the solubility and dissolution of BCS class II drug, telmisartan (TEM), by nanoformulation approach. Several attempts were made to develop a nanosuspension by bottom-up and top-down technique
Externí odkaz:
https://doaj.org/article/ac04fc0d790e45b6bc104b22979b3232
Autor:
Fahrbach, Matthew, Ramalingam, Srikumar, Zadimoghaddam, Morteza, Ahmadian, Sara, Citovsky, Gui, DeSalvo, Giulia
We propose a novel subset selection task called min-distance diverse data summarization ($\textsf{MDDS}$), which has a wide variety of applications in machine learning, e.g., data sampling and feature selection. Given a set of points in a metric spac
Externí odkaz:
http://arxiv.org/abs/2405.18754
Machine learning has become an effective tool for automatically annotating unstructured data (e.g., images) with structured labels (e.g., object detections). As a result, a new programming paradigm called neurosymbolic programming has emerged where u
Externí odkaz:
http://arxiv.org/abs/2405.15912
Publikováno v:
IEEE Transactions on Information Forensics and Security, vol.15, no.1, pp. 487 to 499 (2019)
In automatic signature verification, questioned specimens are usually compared with reference signatures. In writer-dependent schemes, a number of reference signatures are required to build up the individual signer model while a writer-independent sy
Externí odkaz:
http://arxiv.org/abs/2405.14409
The study aims to highlight the growth and development of Indo-German collaborative research over the past three decades. Moreover, this study encompasses an in-depth examination of funding acknowledgements to gain valuable insights into the financia
Externí odkaz:
http://arxiv.org/abs/2404.17171
Autor:
Böther, Maximilian, Sebastian, Abraham, Awasthi, Pranjal, Klimovic, Ana, Ramalingam, Srikumar
Many learning problems hinge on the fundamental problem of subset selection, i.e., identifying a subset of important and representative points. For example, selecting the most significant samples in ML training cannot only reduce training costs but a
Externí odkaz:
http://arxiv.org/abs/2402.16442
In this work, we introduce a novel paradigm called Simulated Overparametrization (SOP). SOP merges the computational efficiency of compact models with the advanced learning proficiencies of overparameterized models. SOP proposes a unique approach to
Externí odkaz:
http://arxiv.org/abs/2402.05033