Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Arodh Lal Karn"'
Autor:
Arodh Lal Karn, Carlos Andres Tavera Romero, Sudhakar Sengan, Abolfazl Mehbodniya, Julian L. Webber, Denis A. Pustokhin, Frank-Detlef Wende
Publikováno v:
IEEE Access, Vol 10, Pp 101276-101291 (2022)
The Sloan Digital Sky Survey (SDSS) comprises about one billion objects classified spectrometrically. Because astronomical datasets are so enormous, manually classifying them is nearly impossible—a huge dataset results in class imbalance and overfi
Externí odkaz:
https://doaj.org/article/9d5db3cf52834a9bb993a7f119bc53c8
Autor:
Arodh Lal Karn, Bhavana Raj Kondamudi, Ravi Kumar Gupta, Denis A. Pustokhin, Irina V. Pustokhina, Meshal Alharbi, Subramaniyaswamy Vairavasundaram, Vijayakumar Varadarajan, Sudhakar Sengan
Publikováno v:
Energies, Vol 16, Iss 1, p 363 (2022)
Energy prices (EPs) play an imperative role in South Asian Country (SAC) Gross Domestic Product (GDP). This research empirically examines the influence of sustainable energy price shocks (EPSs) on macroeconomic indicators. The study is to forecast th
Externí odkaz:
https://doaj.org/article/0e45d026f2de4f44b3b7d2053fa6dfce
Autor:
Arodh Lal Karn, Panneer Selvam Manickam, R. Saravanan, Roobaea Alroobaea, Jasem Almotiri, Sudhakar Sengan
Publikováno v:
Computers, Materials & Continua. 74:6019-6037
Autor:
Arodh Lal Karn, Rakshha Kumari Karna, Bhavana Raj Kondamudi, Girish Bagale, Denis A. Pustokhin, Irina V. Pustokhina, Sudhakar Sengan
Publikováno v:
Electronic Commerce Research. 23:279-314
Autor:
Arodh Lal Karn, Girish Santosh Bagale, null Bhavana Raj Kondamudi., Deepesh Kumar Srivastava, Ravi Kumar Gupta, Sudhakar Sengan
Publikováno v:
Journal of Database Management. 33:1-21
Traditional banks face the issue of risk diversification, and it is dealt with when they evolve into financial institutions. So, the present study aims to investigate banking and off-balance sheet (OBS)-based risks and regulatory changes in certain a
Autor:
Arodh Lal Karn, Karamath Ateeq, Sudhakar Sengan, Indra Gandhi V, Logesh Ravi, Dilip Kumar Sharma, Subramaniyaswamy V
Publikováno v:
Malaysian Journal of Computer Science. :30-49
Deep Learning (DL) in finance is widely regarded as one of the pillars of financial services sectors since it performs crucial functions such as transaction processing and computation, risk assessment, and even behavior prediction. As a subset of dat
Autor:
Arodh Lal Karn, V. Sachin, Sudhakar Sengan, Indra Gandhi V, Logesh Ravi, Dilip Kumar Sharma, Subramaniyaswamy V
Publikováno v:
Malaysian Journal of Computer Science. :116-131
In the banking business, Machine Learning (ML) is critical for averting financial losses. Credit risk evaluation is perhaps the most important prediction task that may result in billions of dollars in damages each year (i.e., the risk of default on d
Autor:
Arodh Lal Karn, Julian L. Webber, Abolfazl Mehbodniya, D. Stalin David, Balu Subramaniam, Rajasekar Rangasamy, Sudhakar Sengan
Publikováno v:
Innovations in Computer Science and Engineering ISBN: 9789811974540
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d976bf60d3dce35f555094f737cf3992
https://doi.org/10.1007/978-981-19-7455-7_28
https://doi.org/10.1007/978-981-19-7455-7_28
Autor:
Arodh Lal Karn, Abolfazl Mehbodniya, Julian L. Webber, Vellingiri Jayagopal, D. Stalin David, Rajasekar Rangasamy, Sudhakar Sengan
Publikováno v:
Innovations in Computer Science and Engineering ISBN: 9789811974540
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7320cea7d8a34f313511873b91377697
https://doi.org/10.1007/978-981-19-7455-7_32
https://doi.org/10.1007/978-981-19-7455-7_32
Autor:
Regin Rajan, Ravi Kumar Bommisetti, Arodh Lal Karn, Abolfazl Mehbodniya, Dilip Kumar Sharma, Muhammad Aftab, Sudhakar Sengan, Farrukh Arslan, Khongdet Phasinam, Sharnil Pandya
Publikováno v:
Soft Computing. 27:5159-5175
The present world is intimidated by the problem of water scarcity that is to be addressed immediately. So, it is wise to treat wastewater to meet the massive need for drinking water for the fast-growing population. The magnificent application of Inte