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Karthick Seshadri
Karthick Seshadri
Assistant Professor of Computer Science and Engg., National Institute of Technology, Andhra Pradesh
在 nitandhra.ac.in 的电子邮件经过验证 - 首页
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引用次数
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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
342022
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
242019
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
132015
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
122023
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
122023
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
102019
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
82023
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
82018
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
82010
Text Summarization: A Technical Overview and Research Perspectives
K Sindhu, K Seshadri
Handbook of Intelligent Computing and Optimization for Sustainable …, 2022
72022
Explainable sentiment analysis for product reviews using causal graph embeddings
VS YADAVILLI, K Seshadri
Sādhanā 47 (4), 241, 2022
62022
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
62022
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
62019
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
52014
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
42021
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
42018
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
42015
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
32024
Discrete mathematics with applications
KV Iyer, K Seshadri
Cengage Learning India, 2022
32022
Evaluation of Hybrid Quantum Approximate Inference Methods on Bayesian Networks
P Nayak, K Seshadri
International Conference on Big Data Analytics, 135-149, 2023
22023
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