Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Vijendran Gopalan Venkoparao"'
Autor:
Anmol Nayak, Hari Prasad Timmapathini, Vidhya Murali, Karthikeyan Ponnalagu, Vijendran Gopalan Venkoparao, Amalinda Post
Publikováno v:
Requirements Engineering: Foundation for Software Quality ISBN: 9783030984632
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfa36314f414dd277b81e3f4e02909ee
https://doi.org/10.1007/978-3-030-98464-9_8
https://doi.org/10.1007/978-3-030-98464-9_8
Autor:
Rahul Dubey, Anmol Nayak, Vijendran Gopalan Venkoparao, Sarathchandra Mandadi, Vaibhav Kesri, Karthikeyan Ponnalagu, Basavaraj S. Garadi
Publikováno v:
Algorithms for Intelligent Systems ISBN: 9789811533563
Graphs are formal structures that are used to represent various categories of relationships between different entities of complex systems. The underlying assumption is that given the parameters characterizing the entities and the relationships betwee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c71f5a7e5914ac54d87ef83a35dfb5f7
https://doi.org/10.1007/978-981-15-3357-0_6
https://doi.org/10.1007/978-981-15-3357-0_6
Publikováno v:
Insights
BERT model (Devlin et al., 2019) has achieved significant progress in several Natural Language Processing (NLP) tasks by leveraging the multi-head self-attention mechanism (Vaswani et al., 2017) in its architecture. However, it still has several rese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::449bff1c78155340749ca8b580d826c5
https://doi.org/10.18653/v1/2020.insights-1.1
https://doi.org/10.18653/v1/2020.insights-1.1
Deep Learning has become one of the primary research areas in developing intelligent machines. Most of the well-known applications (such as Speech Recognition, Image Processing and NLP) of AI are driven by Deep Learning. Deep Learning algorithms mimi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb6fd4c4cb4453b6664e644d497cb515
Autor:
Subhransu Ranjan Samantaray, Bijaya Ketan Panigrahi, Rahul Dubey, Vijendran Gopalan Venkoparao
Publikováno v:
IEEE Systems Journal. 12:2634-2644
The paper presents wide-area back-up protection (WABP) and faulted line identification (FLI) scheme for series-compensated power transmission network. The proposed scheme uses the Koopman mode technique on fault current data obtained from phasor meas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed300283cfd35228209675bf79f416a4
https://doi.org/10.1109/jsyst.2016.2615898
https://doi.org/10.1109/jsyst.2016.2615898
Publikováno v:
2019 Fifteenth International Conference on Information Processing (ICINPRO).
Battery swapping has attracted attention from transportation companies, Original Equipment Manufacturers (OEM) and government authorities as a thriving solution to enable faster adoption of electric vehicles in the recent days. However, in order to f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46684bf314630647aea6b1443e1002a1
https://doi.org/10.1109/icinpro47689.2019.9092262
https://doi.org/10.1109/icinpro47689.2019.9092262
Publikováno v:
Proceedings of the 1st International Conference on Advanced Information Science and System.
Adversarial attacks have always been a bane to neural networks. Most of the research focus is on adversarial networks and its defence for deep neural networks. Associative memory models are different class of neural models used in image recognition t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57d324b43143b309d00db08b2bcc01b0
https://doi.org/10.1145/3373477.3373698
https://doi.org/10.1145/3373477.3373698
Autor:
Abhik Banerjee, Lakshmi Rao Bhatnagar, Karthikeyan Ponnalagu, Amit Parasmal Borundiya, Ragavendra Prabhakar, Himadri Sikhar Khargharia, Vijendran Gopalan Venkoparao
Publikováno v:
Service Research and Innovation ISBN: 9783030322410
ASSRI
ASSRI
Context-aware recommendation systems seek to provide relevant recommendation content for users by deriving preferences not just through past behavior but also based on instantaneous context information. Such responsiveness is especially crucial for o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad1e7f9340ead51883aa20b9de94e753
https://doi.org/10.1007/978-3-030-32242-7_5
https://doi.org/10.1007/978-3-030-32242-7_5
Publikováno v:
International Journal of Electrical Power & Energy Systems. 81:361-370
The paper presents a data-mining model based adaptive protection scheme enhancing distance relay performance during power swing for both compensated and uncompensated power transmission networks. In the power transmission network, the distance relays
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2b2ea8aa988e533ba2f6427b8867449
https://doi.org/10.1016/j.ijepes.2016.02.014
https://doi.org/10.1016/j.ijepes.2016.02.014