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Aparna Sinha
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2020 – today
- 2024
- [c4]Anmol Agrawal, Aparna Sinha, Debanjan Das:
LSTM-Autoencoder-Based Interpretable Predictive Maintenance Framework for Industrial Systems. I2MTC 2024: 1-6 - 2023
- [j4]Aparna Sinha
, Deepraj Chowdhury, Sandeep Sharma, Yashasva Raj Sherke, Debanjan Das
nCare: Fault-aware edge intelligence for rendering viable sensor nodes. Internet Things 21: 100643 (2023) - [j3]Aparna Sinha, Akanksha Singh Pandaw, Debanjan Das
An Intelligent Fault Detection Framework for HVAC Systems with Alert Generation. SN Comput. Sci. 4(5): 616 (2023) - [j2]Nancy Girdhar
DenseNet-II: an improved deep convolutional neural network for melanoma cancer detection. Soft Comput. 27(18): 13285-13304 (2023) - [c3]Aparna Sinha, Debanjan Das:
Machine Learning-based Explainable Stator Fault Diagnosis in Induction Motor using Vibration Signal. I2MTC 2023: 1-6 - [c2]Murukuri S. V. S. V. Vasanth, Paul Akash Gunturu, Aparna Sinha, Debanjan Das:
DELiB: Deep Extreme Learning-Based Health Estimation for Lithium-ion Battery. I2MTC 2023: 1-6 - 2022
- [j1]Aparna Sinha
iThing: Designing Next-Generation Things With Battery Health Self-Monitoring Capabilities for Sustainable IIoT. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - [c1]Aparna Sinha, Debanjan Das:
On-board Battery Health Prediction in Sensor Node for Sustainable IoT. iSES 2022: 453-454 - 2021
- [i1]Aparna Sinha, Debanjan Das, Venkanna Udutalapally, Mukil Kumar Selvarajan, Saraju P. Mohanty:
iThing: Designing Next-Generation Things with Battery Health Self-Monitoring Capabilities for Sustainable IoT in Smart Cities. CoRR abs/2106.06678 (2021)
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