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Raghavendra M Devadas

Showing results (1-10 of 9) with videos related to

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Methodsx|May 7, 2025
Quantum machine learning: A comprehensive review of integrating AI with quantum computing for computational advancementsRaghavendra M Devadas, Sowmya T
Methodsx|March 29, 2024
Integrating Dropout and Kullback-Leibler Regularization in Bayesian Neural Networks for improved uncertainty estimation in RegressionRaghavendra M Devadas, Vani Hiremani
Methodsx|June 15, 2026
Quantum federated learning for autonomous vehicle cybersecurity: An analytical review of architectures and threat landscapesSowmya T, Raghavendra M Devadas
Methodsx|April 21, 2025
Blockchain modeled swarm optimized lyapunov smart contract deep reinforced secure tasks offloading in smart homePreethi, Mohammed Mujeer Ulla, Sapna R, et al.
Methodsx|July 5, 2024
Stochastic calculus-guided reinforcement learning: A probabilistic framework for optimal decision-makingRaghavendra M Devadas, Vani Hiremani, K R Bhavya, et al.
Methodsx|October 13, 2025
Hypercomplex neural networks: Exploring quaternion, octonion, and beyond in deep learningRaghavendra M Devadas, Vani Hiremani, Preethi, et al.
Scientific Reports|June 13, 2026
IDMBD: Intelligent Diagnostic Modelling of Bipolar Disorder at its early onsetK A Yashaswini, S Kokila, Arunkumar Balakrishnan, et al.
Methodsx|June 18, 2025
Federated learning for crop yield prediction: A comprehensive review of techniques and applicationsVani Hiremani, Raghavendra M Devadas, Preethi, et al.
Methodsx|August 5, 2024
TopoGeoFusion: Integrating object topology based feature computation methods into geometrical feature analysis to enhance classification performanceN Shobha Rani, Keshav Shesha Sai, B R Pushpa, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Methodsx|May 7, 2025
Quantum machine learning: A comprehensive review of integrating AI with quantum computing for computational advancementsRaghavendra M Devadas, Sowmya T
Methodsx|March 29, 2024
Integrating Dropout and Kullback-Leibler Regularization in Bayesian Neural Networks for improved uncertainty estimation in RegressionRaghavendra M Devadas, Vani Hiremani
Methodsx|June 15, 2026
Quantum federated learning for autonomous vehicle cybersecurity: An analytical review of architectures and threat landscapesSowmya T, Raghavendra M Devadas
Methodsx|April 21, 2025
Blockchain modeled swarm optimized lyapunov smart contract deep reinforced secure tasks offloading in smart homePreethi, Mohammed Mujeer Ulla, Sapna R, et al.
Methodsx|July 5, 2024
Stochastic calculus-guided reinforcement learning: A probabilistic framework for optimal decision-makingRaghavendra M Devadas, Vani Hiremani, K R Bhavya, et al.
Methodsx|October 13, 2025
Hypercomplex neural networks: Exploring quaternion, octonion, and beyond in deep learningRaghavendra M Devadas, Vani Hiremani, Preethi, et al.
Scientific Reports|June 13, 2026
IDMBD: Intelligent Diagnostic Modelling of Bipolar Disorder at its early onsetK A Yashaswini, S Kokila, Arunkumar Balakrishnan, et al.
Methodsx|June 18, 2025
Federated learning for crop yield prediction: A comprehensive review of techniques and applicationsVani Hiremani, Raghavendra M Devadas, Preethi, et al.
Methodsx|August 5, 2024
TopoGeoFusion: Integrating object topology based feature computation methods into geometrical feature analysis to enhance classification performanceN Shobha Rani, Keshav Shesha Sai, B R Pushpa, et al.
Pageof 1