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ORCIDA. V. Prabu
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2020 – today
- 2024
[j6]Balamurali Pydi
, A. V. Prabu, Amrit Mukherjee, Deepak Kumar Jain, S. Ravi Chand, Noel Anurag Prashanth:
An improved low-carbon intelligent agriculture system with energy optimization principles using wireless IoT environment. Trans. Emerg. Telecommun. Technol. 35(3) (2024)- [j5]V. Pandimurugan, Sultan Ahmad, A. V. Prabu, Mohammad Khalid Imam Rahmani, Hikmat Awad Mohammad Abdeljaber, Malathi Eswaran, Jabeen Nazeer:
CNN-Based Deep Learning Model for Early Identification and Categorization of Melanoma Skin Cancer Using Medical Imaging. SN Comput. Sci. 5(7): 911 (2024) - 2023
- [j4]L. Sathish Kumar, Sidheswar Routray, A. V. Prabu, Rajasoundaran Soundararajan, V. Pandimurugan, Amrit Mukherjee, Mohammed S. Al-Numay:
Artificial intelligence based health indicator extraction and disease symptoms identification using medical hypothesis models. Clust. Comput. 26(4): 2325-2337 (2023) - [j3]V. Pandimurugan, A. V. Prabu, Rajasoundaran Soundararajan, Sidheswar Routray, Nilesh Bhaskarrao Bahadure, D. Ratna Kishore:
Investigation of COVID-19 symptoms using deep learning based image enhancement scheme for x-ray medical images. Int. J. Biom. 15(3/4): 327-343 (2023) - [j2]Ananthakrishnan Balasundaram, Sidheswar Routray, A. V. Prabu, Prabhakar Krishnan, Prince Priya Malla, Moinak Maiti:
Internet of Things (IoT)-Based Smart Healthcare System for Efficient Diagnostics of Health Parameters of Patients in Emergency Care. IEEE Internet Things J. 10(21): 18563-18570 (2023) - [j1]Kishore Balasubramanian, A. V. Prabu, Mahammad Firose Shaik, R. Anjaneyulu Naik, Kanimozhi Suguna S.:
A hybrid deep learning for patient activity recognition (PAR): Real time body wearable sensor network from healthcare monitoring system (HMS). J. Intell. Fuzzy Syst. 44(1): 195-211 (2023)
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