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pro vyhledávání: '"Ashutosh, Swain"'
Autor:
Modak, Niladri, Ashutosh, Swain, Guchhait, Shyamal, Ghosh, Sayan, Dhara, Ritwik, Nayak, Jeeban Kumar, Das, Sourin, Ghosh, Nirmalya
Despite its non-Hermitian nature, the transverse optical beam shift exhibits both real eigenvalues and non-orthogonal eigenstates. To explore this unexpected similarity to typical PT (parity-time)-symmetric systems, we first categorize the entire par
Externí odkaz:
http://arxiv.org/abs/2310.14210
Akademický článek
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Autor:
Dr. Haripriya Mishra, Jatin Tudu, Amit Mohanty, Gyanadarsan Parida, Ashutosh Swain, Satyaranjan Majhi
Publikováno v:
International Journal for Research in Applied Science and Engineering Technology. 10:852-858
Vermicomposting is a communication wherein night crawlers are used to change over normal materials into humuslike material known as vermicompost. Different experts generally through the world have found that the enhancement profile in vermicompost +f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::517eb3c6bfe1758f5caf090f0af3f131
https://doi.org/10.22214/ijraset.2022.42339
https://doi.org/10.22214/ijraset.2022.42339
Autor:
Ashutosh Swain, Rajesh Kumar Bhushan
Publikováno v:
Recent Advances in Manufacturing, Automation, Design and Energy Technologies ISBN: 9789811642210
Recent Advances in Manufacturing, Automation, Design and Energy Technologies
Recent Advances in Manufacturing, Automation, Design and Energy Technologies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::913a1c73de59f412666bee790ee79221
https://doi.org/10.1007/978-981-16-4222-7_71
https://doi.org/10.1007/978-981-16-4222-7_71
Publikováno v:
Computational Intelligence in Data Mining: Volume 3; 2015, pi-xxviii, 28p
This book comprises the proceedings of the 1st International Conference on Future Technologies in Manufacturing, Automation, Design and Energy 2020. The contents of this volume focus on recent technological advances in the field of manufacturing, aut
The contributed volume aims to explicate and address the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. Data Mining aims at the automatic discove
The contributed volume aims to explicate and address the difficulties and challenges that of seamless integration of the two core disciplines of computer science, i.e., computational intelligence and data mining. Data Mining aims at the automatic dis
The contributed volume aims to explicate and address the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. Data Mining aims at the automatic discove