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ORCIDMurali Krishna Enduri
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2020 – today
- 2024
[j14]Koduru Hajarathaiah
, Murali Krishna Enduri, Satish Anamalamudi, Ashu Abdul, Jenhui Chen:
Node Significance Analysis in Complex Networks Using Machine Learning and Centrality Measures. IEEE Access 12: 10186-10201 (2024)- [j13]Buran Basha Mohammad, Sateeshkrishna Dhuli, Murali Krishna Enduri, Linga Reddy Cenkeramaddi:
Convex Isolating Clustering Centrality to Discover the Influential Nodes in Large Scale Networks. IEEE Access 12: 48404-48419 (2024) - [j12]Y. V. Nandini, T. Jaya Lakshmi, Murali Krishna Enduri, Hemlata Sharma, Mohd Wazih Ahmad:
Extending Graph-Based LP Techniques for Enhanced Insights Into Complex Hypergraph Networks. IEEE Access 12: 51208-51222 (2024) - [j11]Mondikathi Chiranjeevi, Sateeshkrishna Dhuli, Murali Krishna Enduri, Linga Reddy Cenkeramaddi:
Identifying and Ranking of Best Influential Spreaders With Extended Clustering Coefficient Local Global Centrality Method. IEEE Access 12: 52539-52554 (2024) - [j10]Mondikathi Chiranjeevi, Sateeshkrishna Dhuli, Murali Krishna Enduri, Koduru Hajarathaiah, Linga Reddy Cenkeramaddi:
Quantifying Node Influence in Networks: Isolating-Betweenness Centrality for Improved Ranking. IEEE Access 12: 93711-93722 (2024) - [j9]Buran Basha Mohammad, Sateeshkrishna Dhuli, Murali Krishna Enduri, Linga Reddy Cenkeramaddi:
A Novel Convex Combination-Based Mixed Centrality Measure for Identification of Influential Nodes in Complex Networks. IEEE Access 12: 123897-123920 (2024) - [j8]Y. V. Nandini, T. Jaya Lakshmi, Murali Krishna Enduri, Hemlata Sharma:
Link Prediction in Complex Networks Using Average Centrality-Based Similarity Score. Entropy 26(6): 433 (2024) - [c19]Murali Krishna Enduri:
Navigating Social Networks: A Hypergraph Approach to Influence Optimization. COMPLEXIS 2024: 99-106 - 2023
- [j7]Koduru Hajarathaiah, Murali Krishna Enduri, Sateeshkrishna Dhuli, Satish Anamalamudi, Linga Reddy Cenkeramaddi:
Generalization of Relative Change in a Centrality Measure to Identify Vital Nodes in Complex Networks. IEEE Access 11: 808-824 (2023) - [j6]Mondikathi Chiranjeevi, Sateeshkrishna Dhuli, Murali Krishna Enduri, Linga Reddy Cenkeramaddi:
ICDC: Ranking Influential Nodes in Complex Networks Based on Isolating and Clustering Coefficient Centrality Measures. IEEE Access 11: 126195-126208 (2023) - [j5]Srilatha Tokala, Murali Krishna Enduri, T. Jaya Lakshmi, Hemlata Sharma:
Community-Based Matrix Factorization (CBMF) Approach for Enhancing Quality of Recommendations. Entropy 25(9): 1360 (2023) - [c18]Abdur Rashid Sangi, Lokeshwari Anamalamudi, Satish Anamalamudi, Anil Carie, Murali Krishna Enduri:
A novel approach to minimize the Black Hole attacks in Vehicular IoT Networks. CNIOT 2023: 851-857 - [c17]Y. V. Nandini, T. Jaya Lakshmi, Murali Krishna Enduri:
Link Prediction in Complex Networks: An Empirical Review. FICTA (2) 2023: 57-67 - [c16]Akash Bayyana, Jeyanand Vemulapati, Sai Hemanth Bathula, Gangula Rakesh, Srilatha Tokala, Murali Krishna Enduri:
Convolutional Neural Networks for Automated Glaucoma Detection: Performance and Limitations. ICCCNT 2023: 1-6 - [c15]Harika Kakarala, Asish Karthikeya Gogineni, Thadi Venkata Satya Murty, Srilatha Tokala, Murali Krishna Enduri, Satish Anamalamudi:
Performance Evaluation of Machine Learning and Neural Network Algorithms for Wine Quality Prediction. ICCCNT 2023: 1-6 - [c14]Thejo Thanvitha Majety, Kilaru Sravan, Borra Avinash, Srilatha Tokala, Murali Krishna Enduri, Satish Anamalamudi:
Deep Learning Approaches for Detecting Psychological Instability: An Evaluation of Performance. ICCCNT 2023: 1-6 - [c13]Pola Sudharshan, Devika Jayavarapu, Tarun Medasani, Sruthi Sivarajan, Murali Krishna Enduri, Satish Anamalamudi:
Improving Skin Disease Diagnosis with Deep Learning: A Comprehensive Evaluation. ICCCNT 2023: 1-5 - [c12]Abdur Rashid Sangi, Jyothish Nagaram, Akshara Sudulagunta, Sai Sandeep Talari, Vinay Malla, Murali Krishna Enduri, Satish Anamalamudi:
Tackling Disinformation: Machine Learning Solutions for Fake News Detection. ICCNS 2023: 46-51 - [c11]Anishka Chauhan, Anuraag Tsunduru, Kishwar Parveen, Srilatha Tokala, Koduru Hajarathaiah, Murali Krishna Enduri:
A Crop Recommendation System Based on Nutrients and Environmental Factors Using Machine Learning Models and IoT. ICIT 2023: 453-458 - [i5]Anil Carie, Abdur Rashid Sangi, Satish Anamalamudi, Murali Krishna Enduri, Baha Ihnaini, Hemn Barzan Abdalla, Mohammed Saeed Alkatheiri:
Directional Antenna Based Scheduling Protocol for IoT Networks. CoRR abs/2305.02511 (2023) - 2022
- [j4]Koduru Hajarathaiah, Murali Krishna Enduri, Satish Anamalamudi, Tatireddy Subba Reddy, Srilatha Tokala:
Computing Influential Nodes Using the Nearest Neighborhood Trust Value and PageRank in Complex Networks. Entropy 24(5): 704 (2022) - 2021
- [c10]Koduru Hajarathaiah, Murali Krishna Enduri, Satish Anamalamudi:
Finding Influential Nodes in Complex Networks Using Nearest Neighborhood Trust Value. COMPLEX NETWORKS 2021: 253-264 - [c9]C. H. Manasa, K. Rahul Chandra, Sateeshkrishna Dhuli, Murali Krishna Enduri:
A Secure Matrix Inversion Protocol for IoT Applications in Smart Home Systems. ICCCNT 2021: 1-5 - [c8]Somarouthu Srikanth, Thavva Sampath Kumar, Satish Anamalamudi, Murali Krishna Enduri:
Decentralized Cloud Storage using Unutilized Storage in PC. ICCCNT 2021: 1-5 - 2020
- [j3]Bireswar Das, Murali Krishna Enduri, I. Vinod Reddy:
Polynomial-time algorithm for isomorphism of graphs with clique-width at most three. Theor. Comput. Sci. 819: 9-23 (2020) - [c7]Murali Krishna Enduri, I. Vinod Reddy, Shivakumar Jolad:
Evolution of Physics Sub-fields. COMPLEXIS 2020: 88-95
2010 – 2019
- 2019
- [j2]Bireswar Das, Murali Krishna Enduri, Masashi Kiyomi, Neeldhara Misra, Yota Otachi, I. Vinod Reddy, Shunya Yoshimura:
On structural parameterizations of firefighting. Theor. Comput. Sci. 782: 79-90 (2019) - 2018
- [j1]Bireswar Das, Anirban Dasgupta, Murali Krishna Enduri, I. Vinod Reddy:
On NC algorithms for problems on bounded rank-width graphs. Inf. Process. Lett. 139: 64-67 (2018) - [c6]Bireswar Das, Murali Krishna Enduri, Neeldhara Misra, I. Vinod Reddy:
On Structural Parameterizations of Firefighting. CALDAM 2018: 221-234 - [c5]Bireswar Das, Murali Krishna Enduri, I. Vinod Reddy:
On the Parallel Parameterized Complexity of the Graph Isomorphism Problem. WALCOM 2018: 252-264 - 2017
- [c4]Bireswar Das, Murali Krishna Enduri, Neeldhara Misra, I. Vinod Reddy:
On Structural Parameterizations of Graph Motif and Chromatic Number. CALDAM 2017: 118-129 - [i4]Bireswar Das, Murali Krishna Enduri, I. Vinod Reddy:
On the Parallel Parameterized Complexity of the Graph Isomorphism Problem. CoRR abs/1711.08885 (2017) - [i3]Bireswar Das, Murali Krishna Enduri, Neeldhara Misra, I. Vinod Reddy:
On Structural Parameterizations of Firefighting. CoRR abs/1711.10227 (2017) - 2016
- [c3]Bireswar Das, Murali Krishna Enduri, I. Vinod Reddy:
Polynomial-Time Algorithm for Isomorphism of Graphs with Clique-Width at Most Three. COCOON 2016: 55-66 - 2015
- [c2]Murali Krishna Enduri, I. Vinod Reddy, Shivakumar Jolad:
Does Diversity of Papers Affect Their Citations? Evidence from American Physical Society Journals. SITIS 2015: 505-511 - [c1]Bireswar Das, Murali Krishna Enduri, I. Vinod Reddy:
Logspace and FPT Algorithms for Graph Isomorphism for Subclasses of Bounded Tree-Width Graphs. WALCOM 2015: 329-334 - [i2]Bireswar Das, Murali Krishna Enduri, I. Vinod Reddy:
Polynomial-time Algorithm for Isomorphism of Graphs with Clique-width at most 3. CoRR abs/1506.01695 (2015) - [i1]Murali Krishna Enduri, I. Vinod Reddy, Shivakumar Jolad:
Does diversity of papers affect their citations? Evidence from American Physical Society Journals. CoRR abs/1512.05057 (2015)
Coauthor Index
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last updated on 2024-10-07 21:21 CEST by the dblp team
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