Search Results - "Lakshmanan, K."

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  1. 1

    Molecular and Functional Properties of Regional Astrocytes in the Adult Brain by Morel, Lydie, Chiang, Ming Sum R, Higashimori, Haruki, Shoneye, Temitope, Iyer, Lakshmanan K, Yelick, Julia, Tai, Albert, Yang, Yongjie

    Published in The Journal of neuroscience (06-09-2017)
    “…The molecular signature and functional properties of astroglial subtypes in the adult CNS remain largely undefined. By using translational ribosome affinity…”
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  2. 2

    Beam Alignment for mmWave Using Non-Stationary Bandits by Gupta, Ruchir, Lakshmanan, K., Sah, Abhay Kumar

    Published in IEEE communications letters (01-11-2020)
    “…A wireless system communicating in the millimeter-wave (mmWave) band suffers from severe propagation loss and thus, employs a highly directional beam to…”
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  3. 3

    Stochastic Arrow-Hurwicz Algorithm for Path Selection and Rate Allocation in Self-Backhauled mmWave Networks by Sharma, Abhinav, Lakshmanan, K., Gupta, Ruchir, Gupta, Atul

    Published in IEEE communications letters (01-03-2022)
    “…One of the key promoters of 5G deployment using millimetre waves is multi-hop self-backhauling. However, the rate allocation and path selection for these…”
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  4. 4

    CoMHisP: A Novel Feature Extractor for Histopathological Image Classification Based on Fuzzy SVM With Within-Class Relative Density by Kumar, Abhinav, Singh, Sanjay Kumar, Saxena, Sonal, Singh, Amit Kumar, Shrivastava, Sameer, Lakshmanan, K., Kumar, Neeraj, Singh, Raj Kumar

    Published in IEEE transactions on fuzzy systems (01-01-2021)
    “…Machine learning (ML) has emerged as a powerful tool for pattern recognition. Traditional ML algorithms have limited ability to reveal the most sophisticated…”
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  5. 5

    A parameter-free affinity based clustering by Mukhoty, Bhaskar, Gupta, Ruchir, K., Lakshmanan, Kumar, Mayank

    “…Several methods have been proposed to estimate the number of clusters in a dataset; the basic idea behind all of them has been to study an index that measures…”
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    An Online Actor–Critic Algorithm with Function Approximation for Constrained Markov Decision Processes by Bhatnagar, Shalabh, Lakshmanan, K.

    “…We develop an online actor–critic reinforcement learning algorithm with function approximation for a problem of control under inequality constraints. We…”
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    Comment on "Federated Learning with Differential Privacy: Algorithms and Performance Analysis" by Rajkumar, Krishnan, Goswami, Antriksh, Lakshmanan, K., Gupta, Ruchir

    “…The research paper [1] proposes a differential privacy algorithm in the context of Federated Learning and provides its performance analysis, mainly focusing on…”
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  9. 9

    A Game-Theoretic Approach for Increasing Resource Utilization in Edge Computing Enabled Internet of Things by Kumar, Sumit, Gupta, Ruchir, Lakshmanan, K., Maurya, Vipin

    Published in IEEE access (2022)
    “…Edge computing is a new paradigm that reduces latency and saves bandwidth by deploying edge servers in different geographic locations. This technology plays a…”
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  10. 10

    ER Alpha Rapid Signaling Is Required for Estrogen Induced Proliferation and Migration of Vascular Endothelial Cells by Lu, Qing, Schnitzler, Gavin R, Ueda, Kazutaka, Iyer, Lakshmanan K, Diomede, Olga I, Andrade, Tiffany, Karas, Richard H

    Published in PloS one (01-04-2016)
    “…Estrogen promotes the proliferation and migration of vascular endothelial cells (ECs), which likely underlies its ability to accelerate re-endothelialization…”
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    Midbrain dopamine neurons in Parkinson's disease exhibit a dysregulated miRNA and target-gene network by Briggs, Christine E, Wang, Yulei, Kong, Benjamin, Woo, Tsung-Ung W, Iyer, Lakshmanan K, Sonntag, Kai C

    Published in Brain research (27-08-2015)
    “…The degeneration of substantia nigra (SN) dopamine (DA) neurons in sporadic Parkinson׳s disease (PD) is characterized by disturbed gene expression networks…”
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  12. 12

    An In Silico Analysis of PCR-Based Monkeypox Virus Detection Assays: A Case Study for Ongoing Clinical Surveillance by Song, Kuncheng, Brochu, Hayden N, Zhang, Qimin, Williams, Jonathan D, Iyer, Lakshmanan K

    Published in Viruses (27-11-2023)
    “…The 2022 global Mpox outbreak swiftly introduced unforeseen diversity in the monkeypox virus (MPXV) population, resulting in numerous Clade IIb sublineages…”
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  13. 13

    Quasi-Newton smoothed functional algorithms for unconstrained and constrained simulation optimization by Lakshmanan, K., Bhatnagar, Shalabh

    “…We propose a multi-time scale quasi-Newton based smoothed functional (QN-SF) algorithm for stochastic optimization both with and without inequality…”
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    Transition Based Discount Factor for Model Free Algorithms in Reinforcement Learning by Sharma, Abhinav, Gupta, Ruchir, Lakshmanan, K., Gupta, Atul

    Published in Symmetry (Basel) (01-07-2021)
    “…Reinforcement Learning (RL) enables an agent to learn control policies for achieving its long-term goals. One key parameter of RL algorithms is a discount…”
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  17. 17

    Stability of delayed fractional order SEIQIcRVW mathematical model for Omicron variant by Dickson, S., Padmasekaran, S., Lakshmanan, K.

    “…The time delay between the conversion of susceptible individuals into infected individuals is considered for the purpose of assessing the stability of the…”
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    Rapid Estrogen Receptor Signaling Is Essential for the Protective Effects of Estrogen Against Vascular Injury by BERNELOT MOENS, Sophie J, SCHNITZLER, Gavin R, IYER, Lakshmanan K, KARAS, Richard H, NICKERSON, Moriah, HUIMING GUO, UEDA, Kazutaka, QING LU, ARONOVITZ, Mark J, NICKERSON, Heather, BAUR, Wendy E, HANSEN, Ulla

    Published in Circulation (New York, N.Y.) (16-10-2012)
    “…Clinical trial and epidemiological data support that the cardiovascular effects of estrogen are complex, including a mixture of both potentially beneficial and…”
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  19. 19

    Multi-Time Scale Smoothed Functional With Nesterov's Acceleration by Sharma, Abhinav, Lakshmanan, K., Gupta, Ruchir, Gupta, Atul

    Published in IEEE access (2021)
    “…Smoothed functional (SF) algorithm estimates the gradient of the stochastic optimization problem by convolution with a smoothening kernel. This process helps…”
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    Newtonian Physics Informed Neural Network (NwPiNN) for Spatio-Temporal Forecast of Visual Data by Dutta, Anurag, Lakshmanan, K., Kumar, Sanjeev, Ramamoorthy, A.

    Published in Human-Centric Intelligent Systems (16-05-2024)
    “…Machine intelligence is at great height these days and has been evident with its effective provenance in almost all domains of science and technology. This…”
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