Scholarly Works per year
Scholarly Works per year
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Dive into the research topics where Civil and Architectural Engineering and Mechanics is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Acoustic source localization using L-shaped sensor clusters: A review
Ma, C., Zhou, Z., Liu, J., Cui, Z. & Kundu, T., Jul 2023, In: Ultrasonics. 132, 107020.Research output: Contribution to journal › Review article › peer-review
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Actively Managed Battery Degradation of Wireless Sensors for Structural Health Monitoring
Nishat, T. A. H., Jeong, J. H., Jo, H., Zhou, Q. & Liu, J., 2023, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2023. Su, Z., Glisic, B. & Limongelli, M. P. (eds.). SPIE, 124860Z. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 12486).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Advanced non-linear ultrasonic sideband peak count-index technique for efficient detection and monitoring of defects in composite plates
Alnuaimi, H. N., Amjad, U., Russo, P., Lopresto, V. & Kundu, T., 2023, (Accepted/In press) In: JVC/Journal of Vibration and Control.Research output: Contribution to journal › Article › peer-review
Datasets
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Reformulation linearization technique based branch-and-reduce approach applied to regional water supply system planning
Lan, F. (Contributor), Bayraksan, G. (Creator) & Lansey, K. E. (Creator), figshare, 2015
DOI: 10.6084/m9.figshare.1336080, https://figshare.com/articles/Reformulation_linearization_technique_based_branch_and_reduce_approach_applied_to_regional_water_supply_system_planning/1336080
Dataset
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Data and Code for evaluation of E. Coli in sediment for assessing irrigation water quality using machine learning
Tousi, E. G. (Creator), Duan, J. G. (Creator), Gundy, P. M. (Creator), Bright, K. R. (Creator) & Gerba, C. P. (Creator), University of Arizona Research Data Repository, 2022
DOI: 10.25422/azu.data.21096184.v1, https://arizona.figshare.com/articles/software/Data_and_Code_for_evaluation_of_E_Coli_in_sediment_for_assessing_irrigation_water_quality_using_machine_learning/21096184/1
Dataset
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Reformulation linearization technique based branch-and-reduce approach applied to regional water supply system planning
Lan, F. (Contributor), Bayraksan, G. (Creator) & Lansey, K. E. (Creator), figshare, 2015
DOI: 10.6084/m9.figshare.1336080.v1, https://figshare.com/articles/Reformulation_linearization_technique_based_branch_and_reduce_approach_applied_to_regional_water_supply_system_planning/1336080/1
Dataset