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Scopus Author ID: 56622896000

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Indian Institute of Technology Kharagpur: Kharagpur, West Bengal, IN

Ph.D. (Electronics and Electrical Communication)
Education
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Vinay Chakravarthi Gogineni

Works (50 of 56)

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Lightweight Autonomous Autoencoders for Timely Hyperspectral Anomaly Detection

IEEE Geoscience and Remote Sensing Letters
2024 | Journal article
DOI: 10.1109/LGRS.2024.3355471
Contributors: Vinay Chakravarthi Gogineni; Katinka Müller; Milica Orlandic; Stefan Werner
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Smoothing ADMM for Sparse-Penalized Quantile Regression With Non-Convex Penalties

IEEE Open Journal of Signal Processing
2024 | Journal article
DOI: 10.1109/OJSP.2023.3344395
Contributors: Reza Mirzaeifard; Naveen K. D. Venkategowda; Vinay Chakravarthi Gogineni; Stefan Werner
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Congestion-Aware Vertical Link Placement and Application Mapping Onto 3-D Network-on-Chip Architectures

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
2024-08 | Journal article
DOI: 10.1109/TCAD.2024.3371255
Contributors: Sambangi Ramesh; Kanchan Manna; Vinay Chakravarthi Gogineni; Santanu Chattopadhyay; Sudipta Mahapatra
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Computationally Efficient Structural Health Monitoring Using Graph Signal Processing

IEEE Sensors Journal
2024-04-01 | Journal article
DOI: 10.1109/JSEN.2024.3366346
Contributors: Muhammad Asaad Cheema; Muhammad Zohaib Sarwar; Vinay Chakravarthi Gogineni; Daniel Cantero; Pierluigi Salvo Rossi
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Autoencoder-based Hyperspectral Anomaly Detection using Kernel Principal Component Pre-Processing

31st European Signal Processing Conference, EUSIPCO 2023 - Proceedings
2023 | Conference paper | Author
DOI: 10.23919/EUSIPCO58844.2023.10289889
SOURCE-WORK-ID:

abfcd7db-32a5-45bd-9bc9-95489ade3d04

EID:

2-s2.0-85178339839

Part of ISBN: 9789464593600
Contributors: Katinka Müller; Vinay Chakravarthi Gogineni; Milica Orlandić; Stefan Werner
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University of Southern Denmark

Communication-Efficient and Privacy-Aware Distributed Learning

IEEE Transactions on Signal and Information Processing over Networks
2023 | Journal article
DOI: 10.1109/TSIPN.2023.3322783
Contributors: Vinay Chakravarthi Gogineni; Ashkan Moradi; Naveen K. D. Venkategowda; Stefan Werner
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Continual Local Updates for Federated Learning with Enhanced Robustness to Link Noise

2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
2023 | Conference paper | Author
DOI: 10.1109/APSIPAASC58517.2023.10317446
SOURCE-WORK-ID:

9e8bec31-97d2-4af8-abad-07c5b5a60687

EID:

2-s2.0-85180012380

Part of ISBN: 9798350300673
Contributors: Ehsan Lari; Vinay Chakravarthi Gogineni; Reza Arablouei; Stefan Werner
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University of Southern Denmark

Networked Personalized Federated Learning Using Reinforcement Learning

ICC 2023 - IEEE International Conference on Communications
2023 | Conference paper | Author
DOI: 10.1109/ICC45041.2023.10279781
SOURCE-WORK-ID:

c9c95a98-bb96-4a66-9895-b59b0af244b4

EID:

2-s2.0-85178305492

Part of ISBN: 9781538674628
Contributors: Francois Gauthier; Vinay Chakravarthi Gogineni; Stefan Werner
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University of Southern Denmark

Personalized Graph Federated Learning with Differential Privacy.

IEEE Transactions on Signal and Information Processing over Networks
2023 | Journal article | Author
DOI: 10.1109/TSIPN.2023.3325963
SOURCE-WORK-ID:

86a2f645-5bc7-4511-91c1-2bf6f8c6ef54

EID:

2-s2.0-85176342314
Contributors: François Gauthier; Vinay Chakravarthi Gogineni; Stefan Werner; Yih-Fang Huang; Anthony Kuh
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University of Southern Denmark
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Asynchronous Online Federated Learning With Reduced Communication Requirements

IEEE Internet of Things Journal
2023-12-01 | Journal article
DOI: 10.1109/JIOT.2023.3314923
Contributors: Francois Gauthier; Vinay Chakravarthi Gogineni; Stefan Werner; Yih-Fang Huang; Anthony Kuh
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Distributed Quantile Regression with Non-Convex Sparse Penalties

2023 IEEE Statistical Signal Processing Workshop (SSP)
2023-07-02 | Conference paper
DOI: 10.1109/ssp53291.2023.10208080
Contributors: Reza Mirzaeifard; Vinay Chakravarthi Gogineni; Naveen K. D. Venkategowda; Stefan Werner
Source: Self-asserted source
Vinay Chakravarthi Gogineni
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Resource-Efficient Federated Learning Robust to Communication Errors

2023 IEEE Statistical Signal Processing Workshop (SSP)
2023-07-02 | Conference paper
DOI: 10.1109/ssp53291.2023.10208024
Contributors: Ehsan Lari; Vinay Chakravarthi Gogineni; Reza Arablouei; Stefan Werner
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Vinay Chakravarthi Gogineni
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Communication-Efficient Online Federated Learning Strategies for Kernel Regression

IEEE Internet of Things Journal
2023-03-01 | Journal article
DOI: 10.1109/JIOT.2022.3218484
Contributors: Vinay Chakravarthi Gogineni; Stefan Werner; Yih-Fang Huang; Anthony Kuh
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Algorithm and Architecture Design of Random Fourier Features-Based Kernel Adaptive Filters

IEEE Transactions on Circuits and Systems I: Regular Papers
2023-02 | Journal article
DOI: 10.1109/TCSI.2022.3227727
Contributors: Vinay Chakravarthi Gogineni; Ramesh Sambangi; Daney Alex; Subrahmanyam Mula; Stefan Werner
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ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties

2022 30th European Signal Processing Conference (EUSIPCO)
2022 | Conference paper | Author
DOI: 10.23919/EUSIPCO55093.2022.9909929
SOURCE-WORK-ID:

d0882f21-254d-4702-8784-c03c3b662794

EID:

2-s2.0-85141011581

Part of ISBN: 9789082797091
Contributors: Reza Mirzaeifard; Naveen K.D. Venkategowda; Vinay Chakravarthi Gogineni; Stefan Werner
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University of Southern Denmark

Clustered Graph Federated Personalized Learning

2022 56th Asilomar Conference on Signals, Systems, and Computers
2022 | Conference paper | Author
DOI: 10.1109/IEEECONF56349.2022.10051979
SOURCE-WORK-ID:

d87ff07a-c812-4e6d-94d2-eeeb5a353050

EID:

2-s2.0-85150177838

Part of ISBN: 9781665459068
Contributors: Francois Gauthier; Vinay Chakravarthi Gogineni; Stefan Werner; Yih Fang Huang; Anthony Kuh
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University of Southern Denmark

Communication-Efficient and Privacy-Aware Distributed LMS Algorithm

2022 25th International Conference on Information Fusion (FUSION)
2022 | Conference paper | Author
DOI: 10.23919/FUSION49751.2022.9841380
SOURCE-WORK-ID:

a7e7d3e4-2d93-4a47-ad5e-25febb8090c8

EID:

2-s2.0-85136578778

Part of ISBN: 9781737749721
Contributors: Vinay Chakravarthi Gogineni; Ashkan Moradi; Naveen K.D. Venkategowda; Stefan Werner
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University of Southern Denmark

Decentralized Graph Federated Multitask Learning for Streaming Data

2022 56th Annual Conference on Information Sciences and Systems, CISS 2022
2022 | Conference paper
DOI: 10.1109/CISS53076.2022.9751160
EID:

2-s2.0-85128741424
Contributors: Gogineni, V.C.; Werner, S.; Huang, Y.-F.; Kuh, A.
Source: Self-asserted source
Vinay Chakravarthi Gogineni via Scopus - Elsevier
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Dynamic Graph Topology Learning with Non-Convex Penalties

2022 30th European Signal Processing Conference (EUSIPCO)
2022 | Conference paper | Author
DOI: 10.23919/EUSIPCO55093.2022.9909609
SOURCE-WORK-ID:

c9cf3c32-3464-4cbd-8f9f-974432ff28ab

EID:

2-s2.0-85141010278

Part of ISBN: 9789082797091
Contributors: Reza Mirzaeifard; Vinay Chakravarthi Gogineni; Naveen K.D. Venkategowda; Stefan Werner
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University of Southern Denmark

Kernel Regression Over Graphs Using Random Fourier Features

IEEE Transactions on Signal Processing
2022 | Journal article
DOI: 10.1109/TSP.2022.3149134
Contributors: Vitor Rosa Meireles Elias; Vinay Chakravarthi Gogineni; Wallace A. Martins; Stefan Werner
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Personalized Online Federated Learning for IoT/CPS: Challenges and Future Directions

IEEE Internet of Things Magazine
2022-12 | Journal article
DOI: 10.1109/iotm.001.2200178
Part of ISSN: 2576-3180
Part of ISSN: 2576-3199
Contributors: Vinay Chakravarthi Gogineni; Stefan Werner; Francois Gauthier; Yih-Fang Huang; Anthony Kuh
Source: Self-asserted source
Vinay Chakravarthi Gogineni
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Towards a data-driven system for personalized cervical cancer risk stratification

Scientific Reports
2022-12 | Journal article | Author
DOI: 10.1038/s41598-022-16361-6
SOURCE-WORK-ID:

f7e7cf58-fc68-4a4d-bd7f-7842fbfb3a06

EID:

2-s2.0-85134260854

PMID: 35840652
Contributors: Geir Severin R.E. Langberg; Jan F. Nygård; Vinay Chakravarthi Gogineni; Mari Nygård; Markus Grasmair; Valeriya Naumova
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University of Southern Denmark

ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties

European conference on signal processing
2022-08-29 | Conference paper
Contributors: Vinay Chakravarthi Gogineni
Source: Self-asserted source
Vinay Chakravarthi Gogineni

Dynamic Graph Topology Learning with Non-Convex Penalties

2022-08-29 | Conference paper
Contributors: Vinay Chakravarthi Gogineni
Source: Self-asserted source
Vinay Chakravarthi Gogineni

Novel VLSI Architecture for Fractional-Order Correntropy Adaptive Filtering Algorithm

IEEE Transactions on Very Large Scale Integration (VLSI) Systems
2022-07 | Journal article
DOI: 10.1109/TVLSI.2022.3169010
Contributors: Daney Alex; Vinay Chakravarthi Gogineni; Subrahmanyam Mula; Stefan Werner
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Adaptive Graph Filters in Reproducing Kernel Hilbert Spaces: Design and Performance Analysis

IEEE Transactions on Signal and Information Processing over Networks
2021 | Journal article
DOI: 10.1109/TSIPN.2020.3046217
Contributors: Vitor R. M. Elias; Vinay Chakravarthi Gogineni; Wallace A. Martins; Stefan Werner
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Communication-efficient online federated learning framework for nonlinear regression

arXiv
2021 | Other
EID:

2-s2.0-85117843746

Part of ISSN: 23318422
Contributors: Gogineni, V.C.; Werner, S.; Huang, Y.-F.; Kuh, A.
Source: Self-asserted source
Vinay Chakravarthi Gogineni via Scopus - Elsevier
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Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective

IEEE Workshop on Statistical Signal Processing Proceedings
2021 | Conference paper
DOI: 10.1109/SSP49050.2021.9513824
EID:

2-s2.0-85113446616
Contributors: Gogineni, V.C.; Langberg, S.R.E.; Naumova, V.; Nygard, J.F.; Nygard, M.; Grasmair, M.; Werner, S.
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Vinay Chakravarthi Gogineni via Scopus - Elsevier

Graph Kernel Recursive Least-Squares Algorithms

2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021 - Proceedings
2021 | Conference paper
EID:

2-s2.0-85126707757
Contributors: Gogineni, V.C.; Naumova, V.; Werner, S.; Huang, Y.-F.
Source: Self-asserted source
Vinay Chakravarthi Gogineni via Scopus - Elsevier

Performance of Clustered Multitask Diffusion LMS Suffering from Inter-Node Communication Delays

IEEE Transactions on Circuits and Systems II: Express Briefs
2021 | Journal article
DOI: 10.1109/TCSII.2021.3050725
EID:

2-s2.0-85099573420

Part of ISSN: 15583791 15497747
Contributors: Gogineni, V.C.; Talebi, S.P.; Werner, S.
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Vinay Chakravarthi Gogineni via Scopus - Elsevier
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Recurrent Time-Varying Multi-Graph Convolutional Neural Network for Personalized Cervical Cancer Risk Prediction

Conference Record - Asilomar Conference on Signals, Systems and Computers
2021 | Conference paper
DOI: 10.1109/IEEECONF53345.2021.9723346
EID:

2-s2.0-85127074913

Part of ISSN: 10586393
Contributors: Gogineni, V.C.; Langberg, S.R.E.; Naumova, V.; Nygard, J.F.; Nygard, M.; Grasmair, M.; Werner, S.
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Vinay Chakravarthi Gogineni via Scopus - Elsevier

Resource-aware asynchronous online federated learning for nonlinear regression

arXiv
2021 | Other
EID:

2-s2.0-85120490659

Part of ISSN: 23318422
Contributors: Gauthier, F.; Gogineni, V.C.; Werner, S.; Huang, Y.-F.; Kuh, A.
Source: Self-asserted source
Vinay Chakravarthi Gogineni via Scopus - Elsevier

Kernel Regression on Graphs in Random Fourier Features Space

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2021-06-06 | Conference paper
DOI: 10.1109/icassp39728.2021.9414951
Source: Self-asserted source
Vinay Chakravarthi Gogineni

Fractional-Order Correntropy Adaptive Filters for Distributed Processing of $\alpha$-Stable Signals

IEEE Signal Processing Letters
2020 | Journal article
DOI: 10.1109/LSP.2020.3029702
Contributors: Vinay Chakravarthi Gogineni; Sayed Pouria Talebi; Stefan Werner; Danilo P. Mandic
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Fractional-Order Correntropy Filters for Tracking Dynamic Systems in α-Stable Environments

IEEE Transactions on Circuits and Systems II: Express Briefs
2020 | Journal article
DOI: 10.1109/tcsii.2020.2995357
Part of ISSN: 1549-7747
Part of ISSN: 1558-3791
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Vinay Chakravarthi Gogineni
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Graph Diffusion Kernel LMS using Random Fourier Features

2020 54th Asilomar Conference on Signals, Systems, and Computers
2020-11-01 | Conference paper
DOI: 10.1109/ieeeconf51394.2020.9443359
ISBN: 9780738131269
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Vinay Chakravarthi Gogineni
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Improving the Performance of Multitask Diffusion APA via Controlled Inter-Cluster Cooperation

IEEE Transactions on Circuits and Systems I: Regular Papers
2020-03 | Journal article
DOI: 10.1109/TCSI.2019.2957342
Contributors: Vinay Chakravarthi Gogineni; Mrityunjoy Chakraborty
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Partial Diffusion Affine Projection Algorithm Over Clustered Multitask Networks

2019 IEEE International Symposium on Circuits and Systems (ISCAS)
2019-05 | Conference paper
DOI: 10.1109/iscas.2019.8702110
ISBN: 9781728103976
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Vinay Chakravarthi Gogineni
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Robust Proportionate Adaptive Filter Architectures Under Impulsive Noise

IEEE Transactions on Very Large Scale Integration (VLSI) Systems
2019-05 | Journal article
DOI: 10.1109/TVLSI.2019.2892383
Contributors: Subrahmanyam Mula; Vinay Chakravarthi Gogineni; Anindya Sundar Dhar
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An adaptive convex combination of APA and ZA-APA for identifying systems having variable sparsity and correlated input

Digital Signal Processing
2018-11 | Journal article
DOI: 10.1016/j.dsp.2018.06.009
Contributors: Vinay Chakravarthi Gogineni; Bijit K. Das; Mrityunjoy Chakraborty
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Diffusion Affine Projection Algorithm for Multitask Networks

2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
2018-11 | Conference paper
DOI: 10.23919/apsipa.2018.8659481
ISBN: 9789881476852
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Vinay Chakravarthi Gogineni
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Algorithm and VLSI Architecture Design of Proportionate-Type LMS Adaptive Filters for Sparse System Identification

IEEE Transactions on Very Large Scale Integration (VLSI) Systems
2018-09 | Journal article
DOI: 10.1109/TVLSI.2018.2828165
Contributors: Subrahmanyam Mula; Vinay Chakravarthi Gogineni; Anindya Sundar Dhar
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Improved proportionate-type sparse adaptive filtering under maximum correntropy criterion in impulsive noise environments

Digital Signal Processing
2018-08 | Journal article
DOI: 10.1016/j.dsp.2018.04.011
Contributors: Vinay Chakravarthi Gogineni; Subrahmanyam Mula
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Logarithmic Cost Based Constrained Adaptive Filtering Algorithms for Sensor Array Beamforming

IEEE Sensors Journal
2018-07-15 | Journal article
DOI: 10.1109/JSEN.2018.2841430
Contributors: Vinay Chakravarthi Gogineni; Subrahmanyam Mula
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A family of constrained adaptive filtering algorithms based on logarithmic cost

arXiv
2017 | Other
EID:

2-s2.0-85092810936

Part of ISSN: 23318422
Contributors: Gogineni, V.C.; Mula, S.
Source: Self-asserted source
Vinay Chakravarthi Gogineni via Scopus - Elsevier

Algorithm/Architecture Co-design of Proportionate-type LMS Adaptive Filters for Sparse System Identification

arXiv
2017 | Other
EID:

2-s2.0-85094383067

Part of ISSN: 23318422
Contributors: Mula, S.; Gogineni, V.C.; Dhar, A.S.
Source: Self-asserted source
Vinay Chakravarthi Gogineni via Scopus - Elsevier

Algorithm/Architecture Co-design of Proportionate-type LMS Adaptive Filters for Sparse System Identification.

Computing Research Repository (CoRR)
2017 | Journal article | Author
SOURCE-WORK-ID:

ecd8b74c-1dd4-4320-81aa-24fd1feae190
Contributors: Subrahmanyam Mula; Vinay Chakravarthi Gogineni; Anindya Sundar Dhar
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University of Southern Denmark

A Convex Combination of NLMS and ZA-NLMS for Identifying Systems With Variable Sparsity

IEEE Transactions on Circuits and Systems II: Express Briefs
2017-09 | Journal article
DOI: 10.1109/tcsii.2017.2651388
Part of ISSN: 1549-7747
Part of ISSN: 1558-3791
Source: Self-asserted source
Vinay Chakravarthi Gogineni
grade
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A novel framework for compressed sensing based scalable video coding

Signal Processing: Image Communication
2017-09 | Journal article
DOI: 10.1016/j.image.2017.05.002
Part of ISSN: 0923-5965
Source: Self-asserted source
Vinay Chakravarthi Gogineni
grade
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Algorithm and Architecture Design of Adaptive Filters With Error Nonlinearities

IEEE Transactions on Very Large Scale Integration (VLSI) Systems
2017-09 | Journal article
DOI: 10.1109/tvlsi.2017.2702171
Part of ISSN: 1063-8210
Part of ISSN: 1557-9999
Source: Self-asserted source
Vinay Chakravarthi Gogineni
grade
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