Estimation of instantaneous frequencies using iterative empirical mode decomposition. - Rinki Gupta; Arun Kumar 007; Rajendar Bahl (Signal Image Video Process., 2014)

On the Selection of Number of Sensors for a Wearable Sign Language Recognition System. - Rinki Gupta (IC3, 2019)

Continuous sign language recognition from wearable IMUs using deep capsule networks and game theory. - Karush Suri; Rinki Gupta (Comput. Electr. Eng., 2019)

Convolutional Neural Network Array for Sign Language Recognition using Wearable IMUs. - Karush Suri; Rinki Gupta (CoRR, 2020)

Activity Detection from Wearable Electromyogram Sensors using Hidden Markov Model. - Rinki Gupta; Karush Suri (CoRR, 2020)

Classification of Hand Gestures from Wearable IMUs using Deep Neural Network. - Karush Suri; Rinki Gupta (CoRR, 2020)

Dual Stage Classification of Hand Gestures using Surface Electromyogram. - Karush Suri; Rinki Gupta (CoRR, 2020)

Transfer Learning for sEMG-based Hand Gesture Classification using Deep Learning in a Master-Slave Architecture. - Karush Suri; Rinki Gupta (CoRR, 2020)

Indian sign language recognition using wearable sensors and multi-label classification. - Rinki Gupta; Arun Kumar 007 (Comput. Electr. Eng., 2021)

Trbaggboost: an ensemble-based transfer learning method applied to Indian Sign Language recognition. - Sneha Sharma; Rinki Gupta; Arun Kumar 007 (J. Ambient Intell. Humaniz. Comput., 2022)

Deep Learning Ensemble for Recognising Lower Limb Activity. - Ganesha H. S; Rinki Gupta; Sindhu Hak Gupta; Sreeraman Rajan (SAS, 2023)

Continuous sign language recognition using isolated signs data and deep transfer learning. - Sneha Sharma; Rinki Gupta; A. Kumar (J. Ambient Intell. Humaniz. Comput., 2023)

Attention based Convolutional Neural Network for Active Noise Control. - Deepali Singh; Rinki Gupta; Arun Kumar 007; Rajendar Bahl (ICMLSC, 2024)

Enhancing active noise control through stacked autoencoders: Training strategies, comparative analysis, and evaluation with practical setup. - Deepali Singh; Rinki Gupta; Arun Kumar 007; Rajendar Bahl (Eng. Appl. Artif. Intell., 2024)

A TinyML solution for an IoT-based communication device for hearing impaired. - Sneha Sharma; Rinki Gupta; Arun Kumar 007 (Expert Syst. Appl., 2024)

Hybrid deep learning model for wearable sensor-based stress recognition for Internet of Medical Things (IoMT) system. - Ghanapriya Singh; Orchid Chetia Phukan; Rinki Gupta; Anand Nayyar (Int. J. Commun. Syst., 2024)

Few-shot transfer learning for wearable IMU-based human activity recognition. - Ganesha H. S; Rinki Gupta; Sindhu Hak Gupta; Sreeraman Rajan (Neural Comput. Appl., 2024)

Nocturnal sleep sounds classification with artificial neural network for sleep monitoring. - Chandrasen Pandey; Neeraj Baghel; Rinki Gupta; Malay Kishore Dutta (Multim. Tools Appl., 2024)

Energy Efficient LoRa-Based AIoT Setup for Human Movement Classification. - Ganesha H. S; Rinki Gupta; Sindhu Hak Gupta (Trans. Emerg. Telecommun. Technol., 2025)