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ORCIDM. V. V. Prasad Kantipudi
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2020 – today
- 2024
[j13]Vanita Agrawal
, Jayant Jagtap, M. V. V. Prasad Kantipudi:
An Overview of Hand-Drawn Diagram Recognition Methods and Applications. IEEE Access 12: 19739-19751 (2024)- [j12]Vanita Agrawal, Jayant Jagtap, M. V. V. Prasad Kantipudi:
Corrections to "An Overview of Hand-Drawn Diagram Recognition Methods and Applications". IEEE Access 12: 162668 (2024) - [j11]Vanita Agrawal, Jayant Jagtap, M. V. V. Prasad Kantipudi:
Exploration of advancements in handwritten document recognition techniques. Intell. Syst. Appl. 22: 200358 (2024) - [j10]Anila M, G. Kiran Kumar, D. Malathi Rani, M. V. V. Prasad Kantipudi, Dharmana Jayaram:
An LSTM based DNN Model for Neurological Disease Prediction Using Voice Characteristics. EAI Endorsed Trans. Pervasive Health Technol. 10 (2024) - [j9]Mallellu Sai Prashanth, Uma Maheswari V, Rajinikanth Aluvalu, M. V. V. Prasad Kantipudi:
Enhancing Health Product Traceability on the Blockchain: A Novel Approach for Supply Chain Management inspection to AI. EAI Endorsed Trans. Pervasive Health Technol. 10 (2024) - [j8]Shagufta Rasheed, G. Kiran Kumar, D. Malathi Rani, M. V. V. Prasad Kantipudi, Anila M:
Heart Disease Prediction Using GridSearchCV and Random Forest. EAI Endorsed Trans. Pervasive Health Technol. 10 (2024) - 2023
- [j7]Swathi Baswaraju, V. Uma Maheswari, Krishna Keerthi Chennam, Arunadevi Thirumalraj, M. V. V. Prasad Kantipudi, Rajanikanth Aluvalu:
Future Food Production Prediction Using AROA Based Hybrid Deep Learning Model in Agri-Sector. Hum. Centric Intell. Syst. 3(4): 521-536 (2023) - 2022
- [j6]V. Uma Maheswari, Rajanikanth Aluvalu, M. V. V. Prasad Kantipudi, Krishna Keerthi Chennam, Ketan Kotecha, Jatinderkumar R. Saini:
Driver Drowsiness Prediction Based on Multiple Aspects Using Image Processing Techniques. IEEE Access 10: 54980-54990 (2022) - [j5]Vigneysh Thangavel, Velamuri Suresh, M. V. V. Prasad Kantipudi, Wattana Viriyasitavat:
An intelligent robust cascaded control scheme for renewable energy based microgrid. Expert Syst. J. Knowl. Eng. 39(10) (2022) - [j4]M. V. V. Prasad Kantipudi, Rajanikanth Aluvalu, V. Uma Maheswari, Mahesh S. Raisinghani:
Insights on Implications of Cognitive Computing in Leveraging Online Education Systems. Int. J. Online Pedagog. Course Des. 12(1): 1-16 (2022) - [j3]Velamuri Suresh, M. V. V. Prasad Kantipudi, Ramachandran Sitharthan, Dharmaraj Kanakadhurga, Natarajan Prabaharan, A. Rajkumar:
A Q-learning based electric vehicle scheduling technique in a distribution system for power loss curtailment. Sustain. Comput. Informatics Syst. 36: 100798 (2022) - 2021
- [j2]Shitharth Selvarajan, M. V. V. Prasad Kantipudi, K. Sangeetha, Pravin Kshirsagar, Thanikanti Sudhakar Babu, Hassan Haes Alhelou:
An Enriched RPCO-BCNN Mechanisms for Attack Detection and Classification in SCADA Systems. IEEE Access 9: 156297-156312 (2021) - [j1]M. V. V. Prasad Kantipudi, Sandeep Kumar, Ashish Kumar Jha:
Scene Text Recognition Based on Bidirectional LSTM and Deep Neural Network. Comput. Intell. Neurosci. 2021: 2676780:1-2676780:11 (2021)
2010 – 2019
- 2019
- [c1]Akhil Jabbar Meera, M. V. V. Prasad Kantipudi, Rajanikanth Aluvalu:
Intrusion Detection System for the IoT: A Comprehensive Review. SoCPaR 2019: 235-243
Coauthor Index
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