Mayank Mishra 
- : Automated Surface Crack Detection in Historical Constructions with Various Materials Using Deep Learning-Based YOLO Network. Dans: International Journal of Architectural Heritage.
- (2024): Artificial intelligence-based visual inspection system for structural health monitoring of cultural heritage. Dans: Journal of Civil Structural Health Monitoring, v. 14, n. 1 (janvier 2024).
- (2022): Seismic vulnerability assessment of old churches in the twin cities of Bhubaneswar and Cuttack using the macroelemental approach. Dans: Frontiers in Built Environment, v. 8 (février 2022).
- (2022): Structural health monitoring of civil engineering structures by using the internet of things: A review. Dans: Journal of Building Engineering, v. 48 (mai 2022).
- (2019): Modeling of Landslide–Tunnel Interaction: the Varco d’Izzo Case Study. Dans: Geotechnical and Geological Engineering, v. 37, n. 6 (10 août 2019).
- (2021): Machine learning techniques for structural health monitoring of heritage buildings: A state-of-the-art review and case studies. Dans: Journal of Cultural Heritage, v. 47 (janvier 2021).
- (2020): Predicting the compressive strength of unreinforced brick masonry using machine learning techniques validated on a case study of a museum through nondestructive testing. Dans: Journal of Civil Structural Health Monitoring, v. 10, n. 3 (mars 2020).
- (2020): Performance Studies of 10 Metaheuristic Techniques in Determination of Damages for Large-Scale Spatial Trusses from Changes in Vibration Responses. Dans: Journal of Computing in Civil Engineering, v. 34, n. 2 (mars 2020).
- (2019): Ant lion optimisation algorithm for structural damage detection using vibration data. Dans: Journal of Civil Structural Health Monitoring, v. 9, n. 1 (février 2019).
- (2015): A Bayesian approach for NDT data fusion: The Saint Torcato church case study. Dans: Engineering Structures, v. 84 (février 2015).
Structurae coopère avec
