Towards greener airports: Development of an assessment framework by leveraging sustainability reports and rating tools J Ramakrishnan, T Liu, R Yu, K Seshadri, Z Gou Environmental Impact Assessment Review 93, 106740, 2022 | 34 | 2022 |
Design and Evaluation of a Hybrid Hierarchical Feature Tree Based Authorship Inference Technique RR Subramanian, K Seshadri Advances in Data and Information Sciences: Proceedings of ICDIS 2017, Volume …, 2019 | 24 | 2019 |
Design and evaluation of a parallel algorithm for inferring topic hierarchies K Seshadri, SM Shalinie, C Kollengode Information Processing & Management 51 (5), 662-676, 2015 | 13 | 2015 |
Visitors’ satisfaction towards indoor environmental quality in Australian hotels and serviced apartments F Zhang, K Seshadri, VPD Pattupogula, C Badrinath, S Liu Building and Environment 244, 110819, 2023 | 12 | 2023 |
A decision tree-based modeling approach for evaluating the green performance of airport buildings J Ramakrishnan, T Liu, F Zhang, K Seshadri, R Yu, Z Gou Environmental Impact Assessment Review 100, 107070, 2023 | 12 | 2023 |
Randomized gossip algorithm based RSU distribution for VANETs leveraging fog computing RR Subramanian, K Seshadri 2019 IEEE International conference on clean energy and energy efficient …, 2019 | 10 | 2019 |
Explainable semi-supervised AI for green performance evaluation of airport buildings J Ramakrishnan, K Seshadri, T Liu, F Zhang, R Yu, Z Gou Journal of Building Engineering 79, 107788, 2023 | 8 | 2023 |
Leveraging social networks for smart cities: A case-study in mitigation of air pollution N Ravi, VR P, K Seshadri Smart Secure Systems–IoT and Analytics Perspective: Second International …, 2018 | 8 | 2018 |
Parallelization of a dynamic SVD clustering algorithm and its application in information retrieval K Seshadri, KV Iyer Software: Practice and Experience 40 (10), 883-896, 2010 | 8 | 2010 |
Text Summarization: A Technical Overview and Research Perspectives K Sindhu, K Seshadri Handbook of Intelligent Computing and Optimization for Sustainable …, 2022 | 7 | 2022 |
Explainable sentiment analysis for product reviews using causal graph embeddings VS YADAVILLI, K Seshadri Sādhanā 47 (4), 241, 2022 | 6 | 2022 |
Workload characterization and synthesis for cloud using generative stochastic processes K Sindhu, K Seshadri, C Kollengode The Journal of Supercomputing 78 (17), 18825-18855, 2022 | 6 | 2022 |
Design and evaluation of a parallel document clustering algorithm based on hierarchical latent semantic analysis K Seshadri, KV Iyer Concurrency and Computation: Practice and Experience 31 (13), e5094, 2019 | 6 | 2019 |
Effect of multi-word features on the hierarchical clustering of web documents S Karthick, SM Shalinie, AR Eswarimeena, P Madhumitha, TN Abhinaya 2014 International Conference on Recent Trends in Information Technology, 1-6, 2014 | 5 | 2014 |
Adoption of virtual laboratories for Computer Science: deterrents, enablers and modalities KV Iyer, K Seshadri Proceedings of the 13th International Conference on Education and New …, 2021 | 4 | 2021 |
A distributed parallel algorithm for inferring hierarchical groups from large‐scale text corpuses K Seshadri, S S. Mercy, S Manohar Concurrency and Computation: Practice and Experience 30 (11), e4404, 2018 | 4 | 2018 |
Parallelization of a graph‐cut based algorithm for hierarchical clustering of web documents K Seshadri, SM Shalinie Concurrency and Computation: Practice and Experience 27 (17), 5156-5176, 2015 | 4 | 2015 |
Design and Evaluation of a Hierarchical Characterization and Adaptive Prediction Model for Cloud Workloads K Seshadri, K Sindhu, SN Bhattu, C Kollengode IEEE Transactions on Cloud Computing, 2024 | 3 | 2024 |
Discrete mathematics with applications KV Iyer, K Seshadri Cengage Learning India, 2022 | 3 | 2022 |
Evaluation of Hybrid Quantum Approximate Inference Methods on Bayesian Networks P Nayak, K Seshadri International Conference on Big Data Analytics, 135-149, 2023 | 2 | 2023 |