Zobrazeno 1 - 10
of 848
pro vyhledávání: '"Pardeshi P"'
Autor:
Almusawi Muntather, Shukla Aasheesh, S Hemalatha, Kavitha P., Gambhire G.M., Pardeshi Pankaj R., Pragathi B.
Publikováno v:
E3S Web of Conferences, Vol 591, p 01010 (2024)
This paper presents a comparative analysis of supercapacitors and batteries as energy storage technologies, focusing on key performance metrics such as energy storage capacity, power output, efficiency, and charge/discharge cycles. Supercapacitors ar
Externí odkaz:
https://doaj.org/article/3ba191829e824842a5deb8fa1d4d4bfe
Autor:
Chandrakala P., Liz Anita Sofia, Mane Vijay, Bala Jeshurun Subramania, Sharma Gunjan, Pardeshi Pankaj R., Senthil Kumar R.
Publikováno v:
E3S Web of Conferences, Vol 591, p 01001 (2024)
The increasing demand for efficient and cost-effective energy storage systems has pushed extensive research into improved materials for next-generation energy storage devices. This study discusses the crucial significance of material advances in boos
Externí odkaz:
https://doaj.org/article/180ebfcafe2945168dd0f26ef29e9220
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
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