Zobrazeno 1 - 10
of 869
pro vyhledávání: '"P. Pardeshi"'
Publikováno v:
International Journal of Infectious Diseases, Vol 116, Iss , Pp S12-S13 (2022)
Purpose: Carbapenems serve as the 1st line drugs for the treatment of drug resistant gram-negative bacilli (GNB) infections. However, carbapenem resistance (CR) among GNB is quite common in India. CR can be due to enzymes called as Carbapenemases e.g
Externí odkaz:
https://doaj.org/article/539ebd2b07c6422992ce514103d85e03
Is it possible to understand or imitate a policy maker's rationale by looking at past decisions they made? We formalize this question as the problem of learning social welfare functions belonging to the well-studied family of power mean functions. We
Externí odkaz:
http://arxiv.org/abs/2405.17700
Autor:
Sagar R. Pardeshi, Amol D. Gholap, Navnath T. Hatvate, Khushmita D. Gharat, Jitendra B. Naik, Abdelwahab Omri
Publikováno v:
Discover Nano, Vol 19, Iss 1, Pp 1-27 (2024)
Abstract Dorzolamide hydrochloride (DRZ) is a carbonic anhydrase inhibitor utilized in managing elevated intraocular pressure (IOP) associated with glaucoma. However, its clinical effectiveness is hindered by a short half-life, low residence time, an
Externí odkaz:
https://doaj.org/article/94173afb30d24d2fb1cf6abf9a9ec288
Publikováno v:
Published In book: Applications of AI for Interdisciplinary Research, Edition: First, Chapter: 8, Publisher: CRC Press, July 2024
One of the most enticing research areas is the stock market, and projecting stock prices may help investors profit by making the best decisions at the correct time. Deep learning strategies have emerged as a critical technique in the field of the fin
Externí odkaz:
http://arxiv.org/abs/2308.04419
Autor:
Nagesh Tambake, Bhagyesh Deshmukh, Sujit Pardeshi, Sachin Salunkhe, Robert Čep, Emad Abouel Nasr
Publikováno v:
Advances in Mechanical Engineering, Vol 16 (2024)
The state of cutting tools profoundly influences the efficiency of the machining processes within the manufacturing industry. Cutting tool faults are highly undesirable and can adversely impact the performance of machine tools, leading to a shortened
Externí odkaz:
https://doaj.org/article/9c210a180fad41e0835d8d0178955950
Autor:
Sagar R. Pardeshi, Nilesh S. Deshmukh, Darshan R. Telange, Sopan N. Nangare, Yogesh Y. Sonar, Sameer H. Lakade, Minal T. Harde, Chandrakantsing V. Pardeshi, Amol Gholap, Prashant K. Deshmukh, Mahesh P. More
Publikováno v:
Future Journal of Pharmaceutical Sciences, Vol 9, Iss 1, Pp 1-31 (2023)
Abstract Background Process intensification is a major hurdle in pharmaceutical process scale-up. Solvent removal strategies have limited the effectiveness of the overall stability of pharmaceutical formulations. The main aim of present review articl
Externí odkaz:
https://doaj.org/article/51a300b4b58046609ebe25a4a2f7d165
Autor:
Medhi, Aditya M., Patange, Abhishek D., Pardeshi, Sujit S., Jegadeeshwaran, R., Kuntoglu, Mustafa
The movement for open-design focuses on the creation of machines, physical systems, and products using design information shared publicly. It consists of the development of systems incorporating open-source hardware and software which can be easily/f
Externí odkaz:
http://arxiv.org/abs/2201.05698
Multitask learning often helps improve the performance of related tasks as these often have inter-dependence on each other and perform better when solved in a joint framework. In this paper, we present a deep multitask learning framework that jointly
Externí odkaz:
http://arxiv.org/abs/2201.05363
Autor:
Maddikunta, Nikhil, Zhao, Huijun, Keswani, Sumit, Samuel, Alfy, Guo, Fu-Ming, Srishankar, Nishan, Pardeshi, Vishwa, Huang, Austin
In the past, computer vision systems for digitized documents could rely on systematically captured, high-quality scans. Today, transactions involving digital documents are more likely to start as mobile phone photo uploads taken by non-professionals.
Externí odkaz:
http://arxiv.org/abs/2112.09220
Autor:
Deo, Tejas Y., Patange, Abhishek D., Pardeshi, Sujit S., Jegadeeshwaran, R., Khairnar, Apoorva N., Khade, Hrushikesh S.
In this paper, a white-Box support vector machine (SVM) framework and its swarm-based optimization is presented for supervision of toothed milling cutter through characterization of real-time spindle vibrations. The anomalous moments of vibration evo
Externí odkaz:
http://arxiv.org/abs/2112.08421