Amrita Namtirtha
Orcid: 0000-0001-5510-6118
According to our database1,
Amrita Namtirtha
authored at least 17 papers
between 2018 and 2025.
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Bibliography
2025
Identification of Phishing Mechanism of the Mastermind of Anomaly Community in the Social Networks.
Proceedings of the 17th International Conference on COMmunication Systems and NETworks, 2025
TMGCN-ATT: A Traffic Prediction Model with Multi-Hop GCN and Self-Attention Mechanisms.
Proceedings of the 17th International Conference on COMmunication Systems and NETworks, 2025
TGNN-Bet: Approximation of Temporal Betweenness Centrality using Temporal Graph Neural Network.
Proceedings of the 17th International Conference on COMmunication Systems and NETworks, 2025
2024
Normalized strength-degree centrality: identifying influential spreaders for weighted network.
Soc. Netw. Anal. Min., December, 2024
CM-GCN: Crossbred Method based-Graph Convolution Networks for identifying influential spreaders from directed networks.
Proceedings of the 16th International Conference on COMmunication Systems & NETworkS, 2024
2023
GSI: An Influential Node Detection Approach in Heterogeneous Network Using Covid-19 as Use Case.
IEEE Trans. Comput. Soc. Syst., October, 2023
Lévy-Cauchy arithmetic optimization algorithm combined with rough K-means for image segmentation.
Appl. Soft Comput., June, 2023
STC+K: A Semi-Global Triangular and Degree Centrality Method to Identify Influential Spreaders in Complex Networks.
Proceedings of the IEEE International Conference on Web Intelligence and Intelligent Agent Technology, 2023
Membership Adjusted Superpixel Based Fuzzy C-Means for White Blood Cell Segmentation.
Proceedings of the Pattern Recognition and Machine Intelligence, 2023
Crossbred Method: A New Method for Identifying Influential Spreaders from Directed Networks.
Proceedings of the Complex Networks & Their Applications XII, 2023
2022
Fuzzy clustering of Acute Lymphoblastic Leukemia images assisted by Eagle strategy and morphological reconstruction.
Knowl. Based Syst., 2022
Semi-global triangular centrality measure for identifying the influential spreaders from undirected complex networks.
Expert Syst. Appl., 2022
2020
Weighted kshell degree neighborhood: A new method for identifying the influential spreaders from a variety of complex network connectivity structures.
Expert Syst. Appl., 2020
Influential spreaders identification in complex networks with improved k-shell hybrid method.
Expert Syst. Appl., 2020
Food Safety Network for Detecting Adulteration in Unsealed Food Products Using Topological Ordering.
Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020
2018
Weighted kshell degree neighborhood method: An approach independent of completeness of global network structure for identifying the influential spreaders.
Proceedings of the 10th International Conference on Communication Systems & Networks, 2018