iThing: Designing Next-Generation Things with Battery Health Self-Monitoring Capabilities for Sustainable IoT in Smart Cities. - Aparna Sinha; Debanjan Das; Venkanna Udutalapally; Mukil Kumar Selvarajan; Saraju P. Mohanty (CoRR, 2021)

On-board Battery Health Prediction in Sensor Node for Sustainable IoT. - Aparna Sinha; Debanjan Das (iSES, 2022)

iThing: Designing Next-Generation Things With Battery Health Self-Monitoring Capabilities for Sustainable IIoT. - Aparna Sinha; Debanjan Das; Venkanna Uduthalapally; Saraju P. Mohanty (IEEE Trans. Instrum. Meas., 2022)

Machine Learning-based Explainable Stator Fault Diagnosis in Induction Motor using Vibration Signal. - Aparna Sinha; Debanjan Das (I2MTC, 2023)

DELiB: Deep Extreme Learning-Based Health Estimation for Lithium-ion Battery. - Murukuri S. V. S. V. Vasanth; Paul Akash Gunturu; Aparna Sinha; Debanjan Das (I2MTC, 2023)

DenseNet-II: an improved deep convolutional neural network for melanoma cancer detection. - Nancy Girdhar; Aparna Sinha; Shivang Gupta (Soft Comput., 2023)

nCare: Fault-aware edge intelligence for rendering viable sensor nodes. - Aparna Sinha; Deepraj Chowdhury; Sandeep Sharma; Yashasva Raj Sherke; Debanjan Das (Internet Things, 2023)

An Intelligent Fault Detection Framework for HVAC Systems with Alert Generation. - Aparna Sinha; Akanksha Singh Pandaw; Debanjan Das (SN Comput. Sci., 2023)

LSTM-Autoencoder-Based Interpretable Predictive Maintenance Framework for Industrial Systems. - Anmol Agrawal; Aparna Sinha; Debanjan Das (I2MTC, 2024)