Year : 2026
Exploring Agentic AI in Healthcare: A Study on Its Working Mechanism
Cite this Research Publication : Parvathaneni Naga Srinivasu, Gorli L. Aruna Kumari, Shakeel Ahmed, Abdulaziz Alhumam, Exploring Agentic AI in Healthcare: A Study on Its Working Mechanism, Frontiers in Medicine, Frontiers Media SA, 2026, https://doi.org/10.3389/fmed.2025.1753443
Publisher : Frontiers Media SA
Year : 2026
Parameter-optimized generative adversarial network framework for synthetic MRI generation: fine-tuning critical variables for enhanced image fidelity
Cite this Research Publication : Anto Lourdu Xavier Raj Arockia Selvarathinam, Naveenkumar Anbalagan, Parvathaneni Naga Srinivasu, Jaeyoung Choi, Muhammad Fazal Ijaz, Parameter-optimized generative adversarial network framework for synthetic MRI generation: fine-tuning critical variables for enhanced image fidelity, Frontiers in Medicine, Frontiers Media SA, 2026, https://doi.org/10.3389/fmed.2025.1731370
Publisher : Frontiers Media SA
Year : 2026
Agentic AI for smart and sustainable precision agriculture
Cite this Research Publication : Parvathaneni Naga Srinivasu, Aruna Pavate, G. JayaLakshmi, Jana Shafi, Jaeyoung Choi, Muhammad Fazal Ijaz, Agentic AI for smart and sustainable precision agriculture, Frontiers in Plant Science, Frontiers Media SA, 2026, https://doi.org/10.3389/fpls.2025.1706428
Publisher : Frontiers Media SA
Year : 2025
Land Cover Classification for Identifying the Agriculture Fields Using Versions of YOLO V8
Cite this Research Publication : Rohan Vaghela, Darsh Vaishnani, Parvathaneni Naga Srinivasu, Yashvi Popat, Jigar Sarda, Marcin Woźniak, Muhammad Fazal Ijaz, Land Cover Classification for Identifying the Agriculture Fields Using Versions of YOLO V8, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Institute of Electrical and Electronics Engineers (IEEE), 2025, https://doi.org/10.1109/jstars.2025.3547058
Publisher : Institute of Electrical and Electronics Engineers (IEEE)
Year : 2025
Exploring the impact of hyperparameter and data augmentation in YOLO V10 for accurate bone fracture detection from X-ray images
Cite this Research Publication : Parvathaneni Naga Srinivasu, Gorli L. Aruna Kumari, Sujatha Canavoy Narahari, Shakeel Ahmed, Abdulaziz Alhumam, Exploring the impact of hyperparameter and data augmentation in YOLO V10 for accurate bone fracture detection from X-ray images, Scientific Reports, Springer Science and Business Media LLC, 2025, https://doi.org/10.1038/s41598-025-93505-4
Publisher : Springer Science and Business Media LLC
Year : 2025
SegAN for Recognition of Caries From 2D-Panoramic X-Ray Images
Cite this Research Publication : Parvathaneni Naga Srinivasu, Gorli L. Aruna Kumari, D. Jaya Kumari, Paolo Barsocchi, Akash Kumar Bhoi, SegAN for Recognition of Caries From 2D-Panoramic X-Ray Images, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2025, https://doi.org/10.1109/access.2025.3576914
Publisher : Institute of Electrical and Electronics Engineers (IEEE)
Year : 2025
Super-Resolution Generative Adversarial Network with Pyramid Attention Module for Face Generation
Cite this Research Publication : Parvathaneni Naga Srinivasu, G. JayaLakshmi, Sujatha Canavoy Narahari, Victor Hugo C. de Albuquerque, Muhammad Attique Khan, Hee-Chan Cho, Byoungchol Chang, Super-Resolution Generative Adversarial Network with Pyramid Attention Module for Face Generation, Computers, Materials & Continua, Tech Science Press, 2025, https://doi.org/10.32604/cmc.2025.065232
Publisher : Tech Science Press
Year : 2025
XAI Driven Software Defect Prediction Using Adaptive Feature Engineering Coupled With Autoencoder and Multi-Layer Perceptron: An Empirical Study
Cite this Research Publication : Parvathaneni Naga Srinivasu, M. Sailaja, Sujatha Canavoy Narahari, Paolo Barsocchi, Akash Kumar Bhoi, XAI Driven Software Defect Prediction Using Adaptive Feature Engineering Coupled With Autoencoder and Multi-Layer Perceptron: An Empirical Study, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2025, https://doi.org/10.1109/access.2025.3603451
Publisher : Institute of Electrical and Electronics Engineers (IEEE)
Year : 2025
Optimized Cardiovascular Disease Prediction Using Clustered Butterfly Algorithm
Cite this Research Publication : Kamepalli S. L. Prasanna, Vijaya J, Parvathaneni Naga Srinivasu, Babar Shah, Farman Ali, Optimized Cardiovascular Disease Prediction Using Clustered Butterfly Algorithm, Computers, Materials & Continua, Tech Science Press, 2025, https://doi.org/10.32604/cmc.2025.068707
Publisher : Tech Science Press