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Kathiravan Srinivasan

Showing results (1-10 of 55) with videos related to

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Scientific Reports|August 6, 2025
Quantum inspired qubit qutrit neural networks for real time financial forecastingKanishk Bakshi, Kathiravan Srinivasan
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|February 12, 2025
Deep learning paradigms in lung cancer diagnosis: A methodological review, open challenges, and future directionsAryan Nikul Patel, Kathiravan Srinivasan
Computational and Mathematical Methods in Medicine|September 12, 2022
Psychological Impact and Influence of Animation on Viewer's Visual Attention and Cognition: A Systematic Literature Review, Open Challenges, and Future Research DirectionsC K Praveen, Kathiravan Srinivasan
Diagnostics (Basel, Switzerland)|April 13, 2023
A Current Review of Machine Learning and Deep Learning Models in Oral Cancer Diagnosis: Recent Technologies, Open Challenges, and Future Research DirectionsShriniket Dixit, Anant Kumar, Kathiravan Srinivasan
Computational and Mathematical Methods in Medicine|July 5, 2022
Early Diagnosis of Retinal Blood Vessel Damage via Deep Learning-Powered Collective Intelligence ModelsPranjal Bhardwaj, Prajjwal Gupta, Thejineaswar Guhan, et al.
Health Care Science|December 30, 2024
A novel ensemble ARIMA-LSTM approach for evaluating COVID-19 cases and future outbreak preparednessSomit Jain, Shobhit Agrawal, Eshaan Mohapatra, et al.
Diagnostics (Basel, Switzerland)|January 21, 2023
Leveraging Computational Intelligence Techniques for Diagnosing Degenerative Nerve Diseases: A Comprehensive Review, Open Challenges, and Future Research DirectionsSaransh Bhachawat, Eashwar Shriram, Kathiravan Srinivasan, et al.
Cancers|February 25, 2023
AI-Powered Diagnosis of Skin Cancer: A Contemporary Review, Open Challenges and Future Research DirectionsNavneet Melarkode, Kathiravan Srinivasan, Saeed Mian Qaisar, et al.
SN Computer Science|November 1, 2021
Event-Driven Acquisition and Machine-Learning-Based Efficient Prediction of the Li-Ion Battery CapacitySaeed Mian Qaisar, Amal Essam ElDin AbdelGawad, Kathiravan Srinivasan
Healthcare (Basel, Switzerland)|January 8, 2023
AI-Powered Blockchain Technology for Public Health: A Contemporary Review, Open Challenges, and Future Research DirectionsRitik Kumar, Arjunaditya, Divyangi Singh, et al.
Pageof 6

Showing results (1-10 of 55) with videos related to

Sort By:
Pageof 6
Scientific Reports|August 6, 2025
Quantum inspired qubit qutrit neural networks for real time financial forecastingKanishk Bakshi, Kathiravan Srinivasan
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|February 12, 2025
Deep learning paradigms in lung cancer diagnosis: A methodological review, open challenges, and future directionsAryan Nikul Patel, Kathiravan Srinivasan
Computational and Mathematical Methods in Medicine|September 12, 2022
Psychological Impact and Influence of Animation on Viewer's Visual Attention and Cognition: A Systematic Literature Review, Open Challenges, and Future Research DirectionsC K Praveen, Kathiravan Srinivasan
Diagnostics (Basel, Switzerland)|April 13, 2023
A Current Review of Machine Learning and Deep Learning Models in Oral Cancer Diagnosis: Recent Technologies, Open Challenges, and Future Research DirectionsShriniket Dixit, Anant Kumar, Kathiravan Srinivasan
Computational and Mathematical Methods in Medicine|July 5, 2022
Early Diagnosis of Retinal Blood Vessel Damage via Deep Learning-Powered Collective Intelligence ModelsPranjal Bhardwaj, Prajjwal Gupta, Thejineaswar Guhan, et al.
Health Care Science|December 30, 2024
A novel ensemble ARIMA-LSTM approach for evaluating COVID-19 cases and future outbreak preparednessSomit Jain, Shobhit Agrawal, Eshaan Mohapatra, et al.
Diagnostics (Basel, Switzerland)|January 21, 2023
Leveraging Computational Intelligence Techniques for Diagnosing Degenerative Nerve Diseases: A Comprehensive Review, Open Challenges, and Future Research DirectionsSaransh Bhachawat, Eashwar Shriram, Kathiravan Srinivasan, et al.
Cancers|February 25, 2023
AI-Powered Diagnosis of Skin Cancer: A Contemporary Review, Open Challenges and Future Research DirectionsNavneet Melarkode, Kathiravan Srinivasan, Saeed Mian Qaisar, et al.
SN Computer Science|November 1, 2021
Event-Driven Acquisition and Machine-Learning-Based Efficient Prediction of the Li-Ion Battery CapacitySaeed Mian Qaisar, Amal Essam ElDin AbdelGawad, Kathiravan Srinivasan
Healthcare (Basel, Switzerland)|January 8, 2023
AI-Powered Blockchain Technology for Public Health: A Contemporary Review, Open Challenges, and Future Research DirectionsRitik Kumar, Arjunaditya, Divyangi Singh, et al.
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