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Jyotibdha Acharya

Showing results (1-10 of 8) with videos related to

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IEEE Transactions on Biomedical Circuits and Systems|March 20, 2020
Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model TuningJyotibdha Acharya, Arindam Basu
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Feature extraction techniques for low-power ambulatory wheeze detection wearablesJyotibdha Acharya, Arindam Basu, Wee Ser
Neuroscience|October 17, 2021
Dendritic Computing: Branching Deeper into Machine LearningJyotibdha Acharya, Arindam Basu, Robert Legenstein, et al.
Frontiers in Neuroscience|April 13, 2018
A Comparison of Low-Complexity Real-Time Feature Extraction for Neuromorphic Speech RecognitionJyotibdha Acharya, Aakash Patil, Xiaoya Li, et al.
IEEE Transactions on Neural Networks and Learning Systems|April 7, 2023
A Hybrid Neuromorphic Object Tracking and Classification Framework for Real-Time SystemsAndres Ussa, Chockalingam Senthil Rajen, Tarun Pulluri, et al.
Nature Communications|June 27, 2020
Optogenetics inspired transition metal dichalcogenide neuristors for in-memory deep recurrent neural networksRohit Abraham John, Jyotibdha Acharya, Chao Zhu, et al.
Materials Horizons|March 22, 2024
High-performance one-dimensional halide perovskite crossbar memristors and synapses for neuromorphic computingSujaya Kumar Vishwanath, Benny Febriansyah, Si En Ng, et al.
Materials Horizons|August 29, 2024
Correction: High-performance one-dimensional halide perovskite crossbar memristors and synapses for neuromorphic computingSujaya Kumar Vishwanath, Benny Febriansyah, Si En Ng, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Biomedical Circuits and Systems|March 20, 2020
Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model TuningJyotibdha Acharya, Arindam Basu
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Feature extraction techniques for low-power ambulatory wheeze detection wearablesJyotibdha Acharya, Arindam Basu, Wee Ser
Neuroscience|October 17, 2021
Dendritic Computing: Branching Deeper into Machine LearningJyotibdha Acharya, Arindam Basu, Robert Legenstein, et al.
Frontiers in Neuroscience|April 13, 2018
A Comparison of Low-Complexity Real-Time Feature Extraction for Neuromorphic Speech RecognitionJyotibdha Acharya, Aakash Patil, Xiaoya Li, et al.
IEEE Transactions on Neural Networks and Learning Systems|April 7, 2023
A Hybrid Neuromorphic Object Tracking and Classification Framework for Real-Time SystemsAndres Ussa, Chockalingam Senthil Rajen, Tarun Pulluri, et al.
Nature Communications|June 27, 2020
Optogenetics inspired transition metal dichalcogenide neuristors for in-memory deep recurrent neural networksRohit Abraham John, Jyotibdha Acharya, Chao Zhu, et al.
Materials Horizons|March 22, 2024
High-performance one-dimensional halide perovskite crossbar memristors and synapses for neuromorphic computingSujaya Kumar Vishwanath, Benny Febriansyah, Si En Ng, et al.
Materials Horizons|August 29, 2024
Correction: High-performance one-dimensional halide perovskite crossbar memristors and synapses for neuromorphic computingSujaya Kumar Vishwanath, Benny Febriansyah, Si En Ng, et al.
Pageof 1