Zobrazeno 1 - 10 of 26 pro vyhledávání: '"I, Jasmine Selvakumari Jeya"'
1
Akademický článek
Enhanced Aquila Optimizer Combined Ensemble Bi-LSTM-GRU With Fuzzy Emotion Extractor for Tweet Sentiment Analysis and Classification
Autor: A. Sherin, I. Jasmine Selvakumari Jeya, S. N. Deepa
Publikováno v: IEEE Access, Vol 12, Pp 141932-141951 (2024)
Tweet Sentiment Analysis (TSA) is a prominent technique to glean valuable insights from the users of Twitter (currently the X platform) to understand their emotional state of mind. This sentiment and opinion mining from tweets is highly important to
Externí odkaz: https://doaj.org/article/946a74358d9442359ed097400b7aa56a
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2
Akademický článek
Adaptive scheduled partitioning technique for reliable emergency message broadcasting in VANET for intelligent transportation systems
Autor: M. Ramya Devi, I. Jasmine Selvakumari Jeya, S. Lokesh
Publikováno v: Automatika, Vol 64, Iss 2, Pp 341-354 (2023)
This paper aims to enable accurate and reliable emergency message broadcast in Vehicular Ad hoc Network (VANET). The VANET is the most common topology used in Intelligent Transportation Systems (ITS), where changes in standard topology due to the mob
Externí odkaz: https://doaj.org/article/1f5ed8c507e142438d864a055c31c760
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7
Detection of Congestion Free Route via Priority Federated Learning with Multi head Convolutional Neural Network
Autor: M. Ramya Devi, I. Jasmine Selvakumari Jeya, S. Lokesh
Owing to a rise in the number of vehicles on route, traffic has been increased dramatically in recent years. It has been noted that driving certain vehicles manually has become a challenging task. The challenges faced during an accident are the conge
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::19f099bbedb8b49c2b7b322e6ea42d96
https://doi.org/10.21203/rs.3.rs-2404068/v1
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8
Deep learning-based soft computing model for image classification application
Autor: S. N. Deepa, M. Revathi, I. Jasmine Selvakumari Jeya
Publikováno v: Soft Computing. 24:18411-18430
The growth of swarm intelligence approaches and machine learning models in the field of medical image processing is extravagant, and the applicability of these approaches for various types of cancer classification has as well grown in the recent year
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::404b82fd2b671bed5e60c91a59000163
https://doi.org/10.1007/s00500-020-05048-7
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