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Rinki Gupta
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2020 – today
- 2024
- [j10]Deepali Singh, Rinki Gupta
, Arun Kumar
, Rajendar Bahl:
Enhancing active noise control through stacked autoencoders: Training strategies, comparative analysis, and evaluation with practical setup. Eng. Appl. Artif. Intell. 135: 108811 (2024) - [j9]Sneha Sharma
, Rinki Gupta
, Arun Kumar
:
A TinyML solution for an IoT-based communication device for hearing impaired. Expert Syst. Appl. 246: 123147 (2024) - [j8]Ghanapriya Singh
, Orchid Chetia Phukan, Rinki Gupta, Anand Nayyar
:
Hybrid deep learning model for wearable sensor-based stress recognition for Internet of Medical Things (IoMT) system. Int. J. Commun. Syst. 37(3) (2024) - [j7]Chandrasen Pandey, Neeraj Baghel
, Rinki Gupta, Malay Kishore Dutta
:
Nocturnal sleep sounds classification with artificial neural network for sleep monitoring. Multim. Tools Appl. 83(6): 15693-15709 (2024) - [j6]Ganesha H. S
, Rinki Gupta
, Sindhu Hak Gupta, Sreeraman Rajan:
Few-shot transfer learning for wearable IMU-based human activity recognition. Neural Comput. Appl. 36(18): 10811-10823 (2024) - [c3]Deepali Singh
, Rinki Gupta
, Arun Kumar
, Rajendar Bahl
:
Attention based Convolutional Neural Network for Active Noise Control. ICMLSC 2024: 122-126 - 2023
- [j5]Sneha Sharma
, Rinki Gupta
, A. Kumar:
Continuous sign language recognition using isolated signs data and deep transfer learning. J. Ambient Intell. Humaniz. Comput. 14(3): 1531-1542 (2023) - [c2]Ganesha H. S
, Rinki Gupta, Sindhu Hak Gupta, Sreeraman Rajan:
Deep Learning Ensemble for Recognising Lower Limb Activity. SAS 2023: 1-5 - 2022
- [j4]Sneha Sharma
, Rinki Gupta
, Arun Kumar:
Trbaggboost: an ensemble-based transfer learning method applied to Indian Sign Language recognition. J. Ambient Intell. Humaniz. Comput. 13(7): 3527-3537 (2022) - 2021
- [j3]Rinki Gupta
, Arun Kumar:
Indian sign language recognition using wearable sensors and multi-label classification. Comput. Electr. Eng. 90: 106898 (2021) - 2020
- [i6]Karush Suri, Rinki Gupta:
Convolutional Neural Network Array for Sign Language Recognition using Wearable IMUs. CoRR abs/2004.11836 (2020) - [i5]Rinki Gupta, Karush Suri:
Activity Detection from Wearable Electromyogram Sensors using Hidden Markov Model. CoRR abs/2005.00107 (2020) - [i4]Karush Suri, Rinki Gupta:
Continuous sign language recognition from wearable IMUs using deep capsule networks and game theory. CoRR abs/2005.00409 (2020) - [i3]Karush Suri, Rinki Gupta:
Classification of Hand Gestures from Wearable IMUs using Deep Neural Network. CoRR abs/2005.00410 (2020) - [i2]Karush Suri, Rinki Gupta:
Dual Stage Classification of Hand Gestures using Surface Electromyogram. CoRR abs/2005.01711 (2020) - [i1]Karush Suri, Rinki Gupta:
Transfer Learning for sEMG-based Hand Gesture Classification using Deep Learning in a Master-Slave Architecture. CoRR abs/2005.03460 (2020)
2010 – 2019
- 2019
- [j2]Karush Suri, Rinki Gupta
:
Continuous sign language recognition from wearable IMUs using deep capsule networks and game theory. Comput. Electr. Eng. 78: 493-503 (2019) - [c1]Rinki Gupta
:
On the Selection of Number of Sensors for a Wearable Sign Language Recognition System. IC3 2019: 1-6 - 2014
- [j1]Rinki Gupta
, Arun Kumar, Rajendar Bahl:
Estimation of instantaneous frequencies using iterative empirical mode decomposition. Signal Image Video Process. 8(5): 799-812 (2014)
Coauthor Index

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