Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Deepanshu Malhotra"'
Autor:
Deepanshu Malhotra, Rinkaj Goyal
Publikováno v:
Machine Learning with Applications, Vol 6, Iss , Pp 100086- (2021)
The emergence of complex real-world networks has put forth a plethora of information about different domains. Link-prediction is one of the emerging research problems that utilizes the information from the networks to find future relationships betwee
Externí odkaz:
https://doaj.org/article/47cf239561ec44e3b0bb3e4966057339
Autor:
Deepanshu Malhotra, Anuradha Chug
Publikováno v:
International Journal of Information Management Data Insights, Vol 1, Iss 2, Pp 100030- (2021)
Community detection is an important problem in network science that discovers highly clustered groups of nodes having similar properties. Label propagation algorithm (LPA) is one of the popular clustering techniques that has attracted much attention
Externí odkaz:
https://doaj.org/article/70bae86a7eed41ea9a404f21e0459bac
Publikováno v:
Journal of Colloid and Interface Science. 600:299-309
In this study, we prepared a three-dimensional self-supported electrocatalyst based on a thin layer of cerium oxide nanocrystals doped with cobalt heteroatoms (CeO2-Co) and then uniformly shelled over one-dimensional tin oxide (SnO2) nanorods support
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55367195b5120140195209cc9b80080d
https://doi.org/10.1016/j.jcis.2021.05.024
https://doi.org/10.1016/j.jcis.2021.05.024
Publikováno v:
Journal of colloid and interface science. 600
In this study, we prepared a three-dimensional self-supported electrocatalyst based on a thin layer of cerium oxide nanocrystals doped with cobalt heteroatoms (CeO
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::023032f28b83e6a92ea71c35f7f24041
https://pubmed.ncbi.nlm.nih.gov/34022726
https://pubmed.ncbi.nlm.nih.gov/34022726
Autor:
Taiwo W. Quadri, Chandrabhan Verma, Eno E. Ebenso, Mumtaz A. Quraishi, Chaudhery Mustansar Hussain, Farooq Ahmad, Asif Mahmood, Tahir Muhmood, Samuel Eshorame Sanni, Denen Ashiekaa Vershima, Rotimi Emmanuel Sadiku, Babalola Aisosa Oni, Emeka Emmanuel Okoro, Surajudeen Sikiru, Mohammad Yeganeh Ghotbi, T. T. Dele-Afolabi, Oladipo Folorunso, Rotimi Sadiku, Yskandar Hamam, Shokoh Parham, Jiale Xie, Pingping Yang, Chun Tang, Abhisek Majumdar, Khoa Dang Tran, Deepanshu Malhotra, Duy Thanh Tran, Nam Hoon Kim, Joong Hee Lee, Goncagül Serdaroğlu, Timothy Oladiran Ajiboye, Abolaji Abiodun Mafolasire, Ayo Olasupo, Damian C. Onwudiwe, Azeezat A. Rasheed-Adeleke, Vinh Thanh Chau Doan, Trinh Hao Nguyen, Phuong Hoang Tran, Sengul Tugba Ozeken, Ali Yeşildağ
Publikováno v:
Computational Data and Social Networks ISBN: 9783030914332
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::727ea74b78a519690fc922023e1200e0
https://doi.org/10.1007/978-3-030-91434-9_23
https://doi.org/10.1007/978-3-030-91434-9_23
Autor:
Duy Thanh Tran, Thanh Hai Nguyen, Hun Jeong, Phan Khanh Linh Tran, Deepanshu Malhotra, Kwang Un Jeong, Nam Hoon Kim, Joong Hee Lee
Publikováno v:
Nano Energy. 94:106929
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2902e686180c3938c4d034a1e970ff39
https://doi.org/10.1016/j.nanoen.2022.106929
https://doi.org/10.1016/j.nanoen.2022.106929
Autor:
Deepanshu Malhotra
Publikováno v:
SN Computer Science. 2
Communities have proven to be one of the important topological features of complex networks and can be discovered in various aspects of life. Understanding these community structures help the researchers to unlock distinct characteristics of networks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d73549724a3e84816745dabc46272b78
https://doi.org/10.1007/s42979-020-00389-4
https://doi.org/10.1007/s42979-020-00389-4
Autor:
Rinkaj Goyal, Deepanshu Malhotra
Publikováno v:
Journal of Complex Networks. 8
Interconnections among real-world entities through explicit or implicit relationships form complex networks, such as social, economic and engineering systems. Recently, the studies based on such complex networks have provided a boost to our understan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e05bbef51e39ec1f29e245d0817ce05
https://doi.org/10.1093/comnet/cnaa035
https://doi.org/10.1093/comnet/cnaa035
Autor:
Rinkaj Goyal, Deepanshu Malhotra
Publikováno v:
Machine Learning with Applications, Vol 6, Iss, Pp 100086-(2021)
The emergence of complex real-world networks has put forth a plethora of information about different domains. Link-prediction is one of the emerging research problems that utilizes the information from the networks to find future relationships betwee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a7d937789d6cb9e60f1c53bddc3f953
https://doi.org/10.1016/j.mlwa.2021.100086
https://doi.org/10.1016/j.mlwa.2021.100086