Anjali Agrawal
Orcid: 0000-0002-6725-7500
According to our database1,
Anjali Agrawal
authored at least 16 papers
between 2020 and 2024.
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Bibliography
2024
An Introduction to Reinforcement Learning: Fundamental Concepts and Practical Applications.
CoRR, 2024
Distributed Energy Harvesting and Power Management Units for Self-Powered In-Fabric Sensing Networks.
Proceedings of the 67th IEEE International Midwest Symposium on Circuits and Systems, 2024
8.5 A 6nA Fully-Autonomous Triple-Input Hybrid-Inductor-Capacitor Multi-Output Power Management System with Multi-Rail Energy Sharing, All-Rail Cold Startup, and Adaptive Conversion Control for mm-scale Distributed Systems.
Proceedings of the IEEE International Solid-State Circuits Conference, 2024
2023
Deep Learning based Diagnostic and Severity Assessment Framework for Lung Diseases using Chest Radiographs.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023
A 1pJ/bit Bypass-SPI Interconnect Bus with I<sup>2</sup>C Conversion Capability and 2.3nW Standby Power for Fabric Sensing Networks.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023
2022
Improving the Performance of Sentiment Analysis Using Enhanced Preprocessing Technique and Artificial Neural Network.
IEEE Trans. Affect. Comput., 2022
Pattern Recognit., 2022
Semantic segmentation of bone structures in chest X-rays including unhealthy radiographs: A robust and accurate approach.
Int. J. Medical Informatics, 2022
Hybrid Deep Neural Network-Based Generation Rescheduling for Congestion Mitigation in Spot Power Market.
IEEE Access, 2022
Proceedings of the 35th International Conference on VLSI Design and 2022 21st International Conference on Embedded Systems, 2022
2021
Frontiers Digit. Health, 2021
Deep LF-Net: Semantic lung segmentation from Indian chest radiographs including severely unhealthy images.
Biomed. Signal Process. Control., 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop, 2021
2020
PRATIT: a CNN-based emotion recognition system using histogram equalization and data augmentation.
Multim. Tools Appl., 2020
Design and FPGA implementation of lattice wave digital notch filter with minimal transient duration.
IET Signal Process., 2020
Deep Learning for Automated Screening of Tuberculosis from Indian Chest X-rays: Analysis and Update.
CoRR, 2020