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2020 – today
- 2024
[c6]Xinjian Liu, Anjali Agrawal, Akiyoshi Tanaka, Benton H. Calhoun:
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. ISSCC 2024: 152-154- [c5]Xinjian Liu, Anjali Agrawal, Akiyoshi Tanaka, Benton H. Calhoun:
Distributed Energy Harvesting and Power Management Units for Self-Powered In-Fabric Sensing Networks. MWSCAS 2024: 1372-1377 - [i4]Majid Ghasemi, Amir Hossein Moosavi, Ibrahim Sorkhoh, Anjali Agrawal, Fadi Alzhouri, Dariush Ebrahimi:
An Introduction to Reinforcement Learning: Fundamental Concepts and Practical Applications. CoRR abs/2408.07712 (2024) - 2023
- [c4]Xinjian Liu, Zhenghong Chen, Nugaira Gahan Mim, Anjali Agrawal, Benton H. Calhoun:
A 1pJ/bit Bypass-SPI Interconnect Bus with I2C Conversion Capability and 2.3nW Standby Power for Fabric Sensing Networks. BioCAS 2023: 1-5 - [c3]Anushikha Singh, Brejesh Lall, Bijaya K. Panigrahi, Anjali Agrawal, Anurag Agrawal, Balamugesh Thangakunam, D. J. Christopher:
Deep Learning based Diagnostic and Severity Assessment Framework for Lung Diseases using Chest Radiographs. CBMS 2023: 864-869 - 2022
- [j8]Anjali Agrawal, Seema N. Pandey, Laxmi Srivastava
, Pratima Walde, Saumya Singh, Baseem Khan, R. K. Saket:
Hybrid Deep Neural Network-Based Generation Rescheduling for Congestion Mitigation in Spot Power Market. IEEE Access 10: 29267-29276 (2022) - [j7]Anushikha Singh, Brejesh Lall, Bijaya Ketan Panigrahi, Anjali Agrawal, Anurag Agrawal, Balamugesh Thangakunam, Devasahayam J. Christopher:
Semantic segmentation of bone structures in chest X-rays including unhealthy radiographs: A robust and accurate approach. Int. J. Medical Informatics 165: 104831 (2022) - [j6]Aakarsh Malhotra, Surbhi Mittal, Puspita Majumdar, Saheb Chhabra, Kartik Thakral, Mayank Vatsa, Richa Singh, Santanu Chaudhury, Ashwin Pudrod, Anjali Agrawal:
Multi-task driven explainable diagnosis of COVID-19 using chest X-ray images. Pattern Recognit. 122: 108243 (2022) - [j5]Ankit Thakkar, Dhara A. Mungra, Anjali Agrawal, Kinjal Chaudhari:
Improving the Performance of Sentiment Analysis Using Enhanced Preprocessing Technique and Artificial Neural Network. IEEE Trans. Affect. Comput. 13(4): 1771-1782 (2022) - [c2]Anjali Agrawal, Smruti R. Sarangi:
NanoLeak: A Fast Analytical Green's Function-based Leakage-aware Thermal Simulator. VLSID 2022: 74-79 - 2021
- [j4]Anushikha Singh, Brejesh Lall, Bijaya K. Panigrahi, Anjali Agrawal, Anurag Agrawal, Balamugesh Thangakunam, Devasahayam J. Christopher:
Deep LF-Net: Semantic lung segmentation from Indian chest radiographs including severely unhealthy images. Biomed. Signal Process. Control. 68: 102666 (2021) - [j3]Akash Gupta, Shrey Aeron, Anjali Agrawal, Himanshu Gupta:
Trends in COVID-19 Publications: Streamlining Research Using NLP and LDA. Frontiers Digit. Health 3: 686720 (2021) - [c1]Subhadarshi Panda, Anjali Agrawal, Jeewon Ha, Benjamin Bloch:
Shuffled-token Detection for Refining Pre-trained RoBERTa. NAACL-HLT (Student Research Workshop) 2021: 88-93 - 2020
- [j2]Abhay Sharma, Tarun Kumar Rawat, Anjali Agrawal:
Design and FPGA implementation of lattice wave digital notch filter with minimal transient duration. IET Signal Process. 14(7): 440-447 (2020) - [j1]Dhara A. Mungra, Anjali Agrawal, Priyanka Sharma, Sudeep Tanwar, Mohammad S. Obaidat:
PRATIT: a CNN-based emotion recognition system using histogram equalization and data augmentation. Multim. Tools Appl. 79(3-4): 2285-2307 (2020) - [i3]Aakarsh Malhotra, Surbhi Mittal, Puspita Majumdar, Saheb Chhabra, Kartik Thakral, Mayank Vatsa, Richa Singh, Santanu Chaudhury, Ashwin Pudrod, Anjali Agrawal:
Multi-Task Driven Explainable Diagnosis of COVID-19 using Chest X-ray Images. CoRR abs/2008.03205 (2020) - [i2]Anushikha Singh, Brejesh Lall, Bijaya Ketan Panigrahi, Anjali Agrawal, Anurag Agrawal, Devasahayam J. Christopher, Balamugesh Thangakunam:
Deep LF-Net: Semantic Lung Segmentation from Indian Chest Radiographs Including Severely Unhealthy Images. CoRR abs/2011.09695 (2020) - [i1]Anushikha Singh, Brejesh Lall, Bijaya Ketan Panigrahi, Anjali Agrawal, Anurag Agrawal, Balamugesh Thangakunam, Devasahayam J. Christopher:
Deep Learning for Automated Screening of Tuberculosis from Indian Chest X-rays: Analysis and Update. CoRR abs/2011.09778 (2020)
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last updated on 2024-10-11 18:20 CEST by the dblp team
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