Items where Subject is "Social Network"

Group by: Creators | Item Type
Jump to: A | B | K | L | M
Number of items at this level: 7.

A

Adhavan, B (2023) A novel deep learning-based approach for detecting attacks in social IoT. Soft Computing. ISSN 1432-7643

Asha, J (2024) Fake Review Detectionusing Enhanced Random Forest. 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS). pp. 2157-2160.

B

Baskaran, J (2025) Optimizing User Engagement in Social Media Platforms: A Machine Learning-Driven Analytical Framework. 2025 International Conference on Computational Innovations and Engineering Sustainability (ICCIES). pp. 1-6.

K

Kaniskaa, M S (2025) Hybrid Deep Neural Network for Detecting Fake Traffic Data in Vehicular Social Network. In: Bio-Inspired Computing. IBICA 2023. Lecture Notes in Networks and Systems, 1229 . Springer, pp. 114-123. ISBN 9783031789397

Krishneth, A and Dharaneesh, J D and Jisnu, S and Sivaganesan, D (2023) Web-plugin to Detect Clickbait in News Articles using RNN and LSTM. 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA). pp. 415-420.

L

Lokesh, S (2023) NNPEC : Neighborhood node propagation entropy centrality is a unique way to find the influential node in a complex network. Concurrency and Computation: Practice and Experience, 35 (12): e7685. ISSN 1532-0626

M

Manimegalai, R and Kavisri, S and Vasundhra, M and Kingsy Grace, R (2023) Machine Learning Framework for Analyzing Disaster-Tweets. 2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS). pp. 55-60.

This list was generated on Wed Jan 7 18:29:56 2026 IST.