Výsledky vyhledávání - "Annapurna P Patil"

Akademický článek

2TierEdge-Defense: a cascaded defense framework with rule-based LSTM for NCIFA in NDN

Autor: H. M. Lalitha Chinmayee, J. Sangeetha, Annapurna P. Patil

Publikováno v: Journal of Information and Telecommunication, Pp 1-29 (2024)

Non-Collusive Interest Flooding Attacks (NCIFA) disrupt Named Data Networks' (NDNs) seamless communication and content distribution through QoS degradation. This work proposes 2TierEdge-Defense: a framework based on Long Short Term Memory (LSTM) to d

Externí odkaz: https://doaj.org/article/cbd7ed5794644e1db54c33c83105d46a

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Akademický článek

Application Areas of Information-Centric Networking: State-of-the-Art and Challenges

Autor: Lalitha Chinmayee M. Hurali, Annapurna P. Patil

Publikováno v: IEEE Access, Vol 10, Pp 122431-122446 (2022)

The Information-Centric Network (ICN) paradigm has gained popularity since its inception. The host-based IP networks were not primarily designed to handle scenarios that it is exposed to on the current Internet. In that direction lot of research has

Externí odkaz: https://doaj.org/article/f34f62020f4f4860994f579c50deef2e

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Akademický článek

Dataset for modeling Beck’s cognitive triad to understand depression

Autor: Shreekant Jere, Annapurna P. Patil, Ganeshayya I. Shidaganti, Shweta S. Aladakatti, Laxmi Jayannavar

Publikováno v: Data in Brief, Vol 38, Iss , Pp 107431- (2021)

This article presents data to model Beck’s cognitive triad to understand the subjective symptoms of depression, such as negative view of self, future, and world. The Cognitive Triad Dataset (CTD) comprises 5886 messages, 600 from the Time-to-Change

Externí odkaz: https://doaj.org/article/f1e4d57b42704f6b8165723c2c590dd7

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Duck Pack Optimization With Deep Transfer Learning-Enabled Oral Squamous Cell Carcinoma Classification on Histopathological Images

Autor: Savita K. Shetty, Annapurna P. Patil

Publikováno v: International Journal of Grid and High Performance Computing. 15:1-21

Earlier detection and classification of squamous cell carcinoma (OSCC) is a widespread issue for efficient treatment, enhancing survival rate, and reducing the death rate. Thus, it becomes necessary to design effective diagnosis models for assisting

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3ece714c4b0600342039c87304229063
https://doi.org/10.4018/ijghpc.320474

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