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ORCIDLakshmana Rao Kalabarige
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2020 – today
- 2024
[j7]Routhu Srinivasa Rao
, Lakshmana Rao Kalabarige, M. Raviraja Holla, Aditya Kumar Sahu:
Multimodal Imputation-Based Multimodal Autoencoder Framework for AQI Classification and Prediction of Indian Cities. IEEE Access 12: 108350-108363 (2024)- [j6]Routhu Srinivasa Rao, Lakshmana Rao Kalabarige, Bhavya Alankar, Aditya Kumar Sahu:
Multimodal imputation-based stacked ensemble for prediction and classification of air quality index in Indian cities. Comput. Electr. Eng. 114: 109098 (2024) - 2023
- [j5]Lakshmana Rao Kalabarige, Routhu Srinivasa Rao, Alwyn R. Pais, Lubna Abdel Kareim Gabralla:
A Boosting-Based Hybrid Feature Selection and Multi-Layer Stacked Ensemble Learning Model to Detect Phishing Websites. IEEE Access 11: 71180-71193 (2023) - 2022
- [j4]Lakshmana Rao Kalabarige, Routhu Srinivasa Rao, Ajith Abraham, Lubna Abdel Kareim Gabralla:
Multilayer Stacked Ensemble Learning Model to Detect Phishing Websites. IEEE Access 10: 79543-79552 (2022) - [j3]Lakshmana Rao Kalabarige, Hima Bindu Maringanti:
Symptom based COVID-19 test recommendation system using machine learning technique. Intell. Decis. Technol. 16(1): 181-191 (2022) - 2021
- [j2]Lakshmana Rao Kalabarige, Sireesha Rodda, Shanti Chilukuri:
On the convergence and optimality of the firefly algorithm for opportunistic spectrum access. Int. J. Adv. Intell. Paradigms 18(2): 119-133 (2021)
2010 – 2019
- 2017
- [j1]Lakshmana Rao Kalabarige, Shanti Chilukuri:
Supporting QoS Differentiation in Energy-Constrained Cognitive Radio Networks. Wirel. Pers. Commun. 97(2): 2459-2474 (2017)
Coauthor Index
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