Hasil Pencarian - Nagarajan Raghavan

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  1. 1
    Lubricating Oil Remaining Useful Life Prediction Using Multi-Output Gaussian Process Regression

    Lubricating Oil Remaining Useful Life Prediction Using Multi-Output Gaussian Process Regression oleh Monika Tanwar, Nagarajan Raghavan

    Diterbitkan 2020-01-01
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  2. 2
    Computational Failure Analysis of In-Memory RRAM Architecture for Pattern Classification CNN Circuits

    Computational Failure Analysis of In-Memory RRAM Architecture for Pattern Classification CNN Circuits oleh Nagaraj Lakshmana Prabhu, Nagarajan Raghavan

    Diterbitkan 2021-01-01
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  3. 3
    Neuromorphic In-Memory RRAM NAND/NOR Circuit Performance Analysis in a CNN Training Framework on the Edge for Low Power IoT

    Neuromorphic In-Memory RRAM NAND/NOR Circuit Performance Analysis in a CNN Training Framework on the Edge for Low Power IoT oleh Nagaraj Lakshmana Prabhu, Nagarajan Raghavan

    Diterbitkan 2022-01-01
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  4. 4
    Successive Multi-Stage Compliance–Ramp Voltage Sweep Methodology (MSC-RVS) for Understanding the Evolution of Gate Breakdown Mechanisms in p-GaN HEMTs

    Successive Multi-Stage Compliance–Ramp Voltage Sweep Methodology (MSC-RVS) for Understanding the Evolution of Gate Breakdown Mechanisms in p-GaN HEMTs oleh Jerry Joseph James, Nagarajan Raghavan

    Diterbitkan 2024-01-01
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  5. 5
    Statistical Characterization of the State-of-Health of Lithium-Ion Batteries with Weibull Distribution Function—A Consideration of Random Effect Model in Charge Capacity Decay Estimation

    Statistical Characterization of the State-of-Health of Lithium-Ion Batteries with Weibull Distribution Function—A Consideration of Random Effect Model in Charge Capacity Decay Esti... oleh Chinedu I. Ossai, Nagarajan Raghavan

    Diterbitkan 2017-10-01
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  6. 6
    Enhancement of the mechanical properties in ultra-low weight SWCNT sandwiched PDMS composites using a novel stacked architecture

    Enhancement of the mechanical properties in ultra-low weight SWCNT sandwiched PDMS composites using a novel stacked architecture oleh Pavithra Ananthasubramanian, Rahul Sahay, Nagarajan Raghavan

    Diterbitkan 2024-02-01
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  7. 7
    Piecewise Model-Based Online Prognosis of Lithium-Ion Batteries Using Particle Filters

    Piecewise Model-Based Online Prognosis of Lithium-Ion Batteries Using Particle Filters oleh Karkulali Pugalenthi, Hyunseok Park, Nagarajan Raghavan

    Diterbitkan 2020-01-01
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  8. 8
    A Gaussian Mixture Model Clustering Ensemble Regressor for Semiconductor Manufacturing Final Test Yield Prediction

    A Gaussian Mixture Model Clustering Ensemble Regressor for Semiconductor Manufacturing Final Test Yield Prediction oleh Dan Jiang, Weihua Lin, Nagarajan Raghavan

    Diterbitkan 2021-01-01
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  9. 9
    Multistate Diagnosis and Prognosis of Lubricating Oil Degradation Using Sticky Hierarchical Dirichlet Process–Hidden Markov Model Framework

    Multistate Diagnosis and Prognosis of Lubricating Oil Degradation Using Sticky Hierarchical Dirichlet Process–Hidden Markov Model Framework oleh Monika Tanwar, Hyunseok Park, Nagarajan Raghavan

    Diterbitkan 2021-07-01
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  10. 10
    A Novel Framework for Semiconductor Manufacturing Final Test Yield Classification Using Machine Learning Techniques

    A Novel Framework for Semiconductor Manufacturing Final Test Yield Classification Using Machine Learning Techniques oleh Dan Jiang, Weihua Lin, Nagarajan Raghavan

    Diterbitkan 2020-01-01
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  11. 11
    Semiconductor Manufacturing Final Test Yield Optimization and Wafer Acceptance Test Parameter Inverse Design Using Multi-Objective Optimization Algorithms

    Semiconductor Manufacturing Final Test Yield Optimization and Wafer Acceptance Test Parameter Inverse Design Using Multi-Objective Optimization Algorithms oleh Dan Jiang, Weihua Lin, Nagarajan Raghavan

    Diterbitkan 2021-01-01
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  12. 12
    Predicting Lumen Degradation of Light Emitting Diodes Using Hybrid Particle Filter Trained Neural Networks

    Predicting Lumen Degradation of Light Emitting Diodes Using Hybrid Particle Filter Trained Neural Networks oleh Karkulali Pugalenthi, Hyunseok Park, Shaista Hussain, Nagarajan Raghavan

    Diterbitkan 2021-01-01
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  13. 13
    Remaining Useful Life Prediction of Lithium-Ion Batteries Using Neural Networks with Adaptive Bayesian Learning

    Remaining Useful Life Prediction of Lithium-Ion Batteries Using Neural Networks with Adaptive Bayesian Learning oleh Karkulali Pugalenthi, Hyunseok Park, Shaista Hussain, Nagarajan Raghavan

    Diterbitkan 2022-05-01
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  14. 14
    Hybrid Particle Filter Trained Neural Network for Prognosis of Lithium-Ion Batteries

    Hybrid Particle Filter Trained Neural Network for Prognosis of Lithium-Ion Batteries oleh Karkulali Pugalenthi, Hyunseok Park, Shaista Hussain, Nagarajan Raghavan

    Diterbitkan 2021-01-01
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  15. 15
    Learning Localized Spatial Material Properties of Substrates in Ultra-Thin Packages Using Markov Chain Monte Carlo and Finite Element Analysis

    Learning Localized Spatial Material Properties of Substrates in Ultra-Thin Packages Using Markov Chain Monte Carlo and Finite Element Analysis oleh Cheryl Selvanayagam, Pham Luu Trung Duong, Nagarajan Raghavan

    Diterbitkan 2020-01-01
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  16. 16
    Investigating Knowledge Structure and Future Directions in IT-Based Business Methods Using Hierarchical Main Path Approach

    Investigating Knowledge Structure and Future Directions in IT-Based Business Methods Using Hierarchical Main Path Approach oleh Sejun Yoon, Nagarajan Raghavan, Nguyen-Truong Le, Hyunseok Park

    Diterbitkan 2023-01-01
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  17. 17
    Guest Editorial Special Section on the Second Electron Devices Technology and Manufacturing (EDTM) Conference 2019

    Guest Editorial Special Section on the Second Electron Devices Technology and Manufacturing (EDTM) Conference 2019 oleh Chuan Seng Tan, Nagarajan Raghavan, Hang Tong Edwin Teo

    Diterbitkan 2019-01-01
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  18. 18
    Global Optimization of Surface Warpage for Inverse Design of Ultra-Thin Electronic Packages Using Tensor Train Decomposition

    Global Optimization of Surface Warpage for Inverse Design of Ultra-Thin Electronic Packages Using Tensor Train Decomposition oleh Cheryl Selvanayagam, Pham Luu Trung Duong, Brett Wilkerson, Nagarajan Raghavan

    Diterbitkan 2022-01-01
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  19. 19
    Inverse Design for Low Warpage Ultra-Thin Packages Using Constrained Particle Swarm Optimization

    Inverse Design for Low Warpage Ultra-Thin Packages Using Constrained Particle Swarm Optimization oleh Cheryl Selvanayagam, Pham Luu Trung Duong, Brett Wilkerson, Nagarajan Raghavan

    Diterbitkan 2021-01-01
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  20. 20
    Quantitative identification of technological paradigm changes using knowledge persistence.

    Quantitative identification of technological paradigm changes using knowledge persistence. oleh Changbae Mun, Sejun Yoon, Yongmin Kim, Nagarajan Raghavan, Hyunseok Park

    Diterbitkan 2019-01-01
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