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Sagar Kamarthi

Showing results (1-10 of 27) with videos related to

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Sensors (Basel, Switzerland)|November 11, 2022
Personalized Deep Bi-LSTM RNN Based Model for Pain Intensity Classification Using EDA SignalFatemeh Pouromran, Yingzi Lin, Sagar Kamarthi
Plos One|July 9, 2021
Exploration of physiological sensors, features, and machine learning models for pain intensity estimationFatemeh Pouromran, Srinivasan Radhakrishnan, Sagar Kamarthi
Frontiers in Physiology|December 21, 2023
Transformer encoder with multiscale deep learning for pain classification using physiological signalsZhenyuan Lu, Burcu Ozek, Sagar Kamarthi
Biomimetics (Basel, Switzerland)|June 2, 2021
Evaluation of Human Ear Anatomy and Functionality by Axiomatic DesignPratap Sriram Sundar, Chandan Chowdhury, Sagar Kamarthi
Biomimetics (Basel, Switzerland)|April 26, 2024
Analysis of Pollination Process between Flowers and Honeybees to Derive Insights for the Design of MicrorobotsPratap Sriram Sundar, Chandan Chowdhury, Sagar Kamarthi
JMIR Biomedical Engineering|August 20, 2025
Influence of Pre-Existing Pain on the Body's Response to External Pain Stimuli: Experimental StudyBurcu Ozek, Zhenyuan Lu, Srinivasan Radhakrishnan, et al.
Scientific Reports|September 21, 2019
Resiliency of Mutualistic Supplier-Manufacturer NetworksMengkai Xu, Srinivasan Radhakrishnan, Sagar Kamarthi, et al.
Plos One|August 1, 2024
Uncertainty quantification in neural-network based pain intensity estimationBurcu Ozek, Zhenyuan Lu, Srinivasan Radhakrishnan, et al.
Sensors (Basel, Switzerland)|February 24, 2024
Navigating the Evolution of Digital Twins Research through Keyword Co-Occurence Network AnalysisWei Li, Haozhou Zhou, Zhenyuan Lu, et al.
Plos One|September 28, 2017
Correction: Novel keyword co-occurrence network-based methods to foster systematic reviews of scientific literatureSrinivasan Radhakrishnan, Serkan Erbis, Jacqueline A Isaacs, et al.
Pageof 3

Showing results (1-10 of 27) with videos related to

Sort By:
Pageof 3
Sensors (Basel, Switzerland)|November 11, 2022
Personalized Deep Bi-LSTM RNN Based Model for Pain Intensity Classification Using EDA SignalFatemeh Pouromran, Yingzi Lin, Sagar Kamarthi
Plos One|July 9, 2021
Exploration of physiological sensors, features, and machine learning models for pain intensity estimationFatemeh Pouromran, Srinivasan Radhakrishnan, Sagar Kamarthi
Frontiers in Physiology|December 21, 2023
Transformer encoder with multiscale deep learning for pain classification using physiological signalsZhenyuan Lu, Burcu Ozek, Sagar Kamarthi
Biomimetics (Basel, Switzerland)|June 2, 2021
Evaluation of Human Ear Anatomy and Functionality by Axiomatic DesignPratap Sriram Sundar, Chandan Chowdhury, Sagar Kamarthi
Biomimetics (Basel, Switzerland)|April 26, 2024
Analysis of Pollination Process between Flowers and Honeybees to Derive Insights for the Design of MicrorobotsPratap Sriram Sundar, Chandan Chowdhury, Sagar Kamarthi
JMIR Biomedical Engineering|August 20, 2025
Influence of Pre-Existing Pain on the Body's Response to External Pain Stimuli: Experimental StudyBurcu Ozek, Zhenyuan Lu, Srinivasan Radhakrishnan, et al.
Scientific Reports|September 21, 2019
Resiliency of Mutualistic Supplier-Manufacturer NetworksMengkai Xu, Srinivasan Radhakrishnan, Sagar Kamarthi, et al.
Plos One|August 1, 2024
Uncertainty quantification in neural-network based pain intensity estimationBurcu Ozek, Zhenyuan Lu, Srinivasan Radhakrishnan, et al.
Sensors (Basel, Switzerland)|February 24, 2024
Navigating the Evolution of Digital Twins Research through Keyword Co-Occurence Network AnalysisWei Li, Haozhou Zhou, Zhenyuan Lu, et al.
Plos One|September 28, 2017
Correction: Novel keyword co-occurrence network-based methods to foster systematic reviews of scientific literatureSrinivasan Radhakrishnan, Serkan Erbis, Jacqueline A Isaacs, et al.
Pageof 3