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    Development of a Grid Connected Solar-Wind Hybrid System With Reduction in Levelized Tariff for a Remote Island in India 

    Source: Journal of Solar Energy Engineering:;2020:;volume( 142 ):;issue: 004
    Author(s): Goswami, Anik; Sadhu, Paromita; Sadhu, Pradip Kumar
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Sagar Island which is located in the world's largest delta, the Sunderban, in the eastern coast of India faces severe power crunch. Due to its isolated location, the power infrastructure is underdeveloped. This has led to ...
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    Decentralized Modal Identification of a Pony Truss Pedestrian Bridge Using Wireless Sensors 

    Source: Journal of Bridge Engineering:;2014:;Volume ( 019 ):;issue: 006
    Author(s): Sadhu; Narasimhan; Goldack
    Publisher: American Society of Civil Engineers
    Abstract: Most of the vibration-based ambient modal identification methods in the literature are structured to process vibration data collected from a dense array of sensors centrally to yield modal information. For large systems, ...
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    Multiclass Damage Identification in a Full-Scale Bridge Using Optimally Tuned One-Dimensional Convolutional Neural Network 

    Source: Journal of Computing in Civil Engineering:;2021:;Volume ( 036 ):;issue: 002:;page 04021035
    Author(s): Sandeep Sony; Sunanda Gamage; Ayan Sadhu; Jagath Samarabandu
    Publisher: ASCE
    Abstract: In this paper, a novel method is proposed based on a windowed one-dimensional convolutional neural network (1D CNN) for multiclass damage identification using vibration responses of a full-scale bridge. The measured data ...
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    Few-Shot Learning Augmented with Image Transformation for Multiclass Structural Damage Classification 

    Source: Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 003:;page 04025021-1
    Author(s): Kyle Dunphy; Madhushan Buwaneswaran; Katarina Grolinger; Ayan Sadhu
    Publisher: American Society of Civil Engineers
    Abstract: The application of machine learning (ML) as an apparatus for structural health monitoring (SHM) has become increasingly prevalent recently as the domain moves toward autonomous structural inspections. Although significant ...
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    A Benchmark Data Set for Vision-Based Traffic Load Monitoring in a Cable-Stayed Bridge 

    Source: Journal of Bridge Engineering:;2024:;Volume ( 029 ):;issue: 002:;page 04723001-1
    Author(s): Liangfu Ge; Danhui Dan; Ayan Sadhu
    Publisher: ASCE
    Abstract: Traffic load monitoring based on deep learning and computer vision has garnered significant attention in bridge engineering worldwide. Unlike traditional traffic load monitoring systems, computer vision-based techniques ...
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    Heat Flux Controlled Pool Boiling of Zirconia–Water and Silver–Water Nanofluids on a Flat Plate: A Coupled Map Lattice Simulation 

    Source: Journal of Heat Transfer:;2015:;volume( 137 ):;issue: 002:;page 21503
    Author(s): Sadhu, Sayan; Ghoshdastidar, P. S.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In the present work, the characteristic atmospheric saturated heat flux controlled pool boiling curves for zirconia–water and silver–water nanofluids have been reproduced by the coupled map lattice (CML) method using ...
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    Steady-State Analysis of a High-Temperature Natural Circulation Loop Based on Water-Cooled Supercritical CO2 

    Source: Journal of Heat Transfer:;2018:;volume( 140 ):;issue: 006:;page 62502
    Author(s): Sadhu, Sayan; Ramgopal, Maddali; Bhattacharyya, Souvik
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A high-temperature natural circulation loop (NCL) using supercritical carbon dioxide as loop fluid is modeled to study the effects of operating variables and relevant design parameters on loop performance. The steady-state ...
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    Leveraging One-Dimensional Deep Learning for Robust Leak Detection in Water Distribution Systems Using Acceleration Data 

    Source: Journal of Pipeline Systems Engineering and Practice:;2025:;Volume ( 016 ):;issue: 004:;page 04025066-1
    Author(s): Dunphy, Kyle; Agarwal, Harsha; Sadhu, Ayan
    Publisher: American Society of Civil Engineers
    Abstract: AbstractOperational water distribution networks (WDNs) are of paramount importance to the many facets of socioeconomic demands that are required by global society. Infrastructure degradation and failures in the form of ...
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    Few-Shot Learning Augmented with Image Transformation for Multiclass Structural Damage Classification 

    Source: Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 003:;page 04025021-1
    Author(s): Kyle Dunphy; Madhushan Buwaneswaran; Katarina Grolinger; Ayan Sadhu
    Publisher: American Society of Civil Engineers
    Abstract: The application of machine learning (ML) as an apparatus for structural health monitoring (SHM) has become increasingly prevalent recently as the domain moves toward autonomous structural inspections. Although significant ...
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    New Analysis Methodology for Dynamic Soil Characterization Using Free-Decay Response in Resonant-Column Testing 

    Source: Journal of Geotechnical and Geoenvironmental Engineering:;2014:;Volume ( 140 ):;issue: 001
    Author(s): Fernando; Tallavo; Giovanni; Cascante; Ayan; Sadhu; Mahesh D.; Pandey
    Publisher: American Society of Civil Engineers
    Abstract: The resonant-column test is widely used for dynamic characterization of soils under different confinement and shear-strain conditions. The free-decay response of a soil specimen in resonant-column testing shows a nonlinear ...
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    DSpace software copyright © 2002-2015  DuraSpace
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