Ayan Sadhu

Real‐Time Frequency‐Domain Decomposition for Structural Health Monitoring Using General‐Purpose Graphic Processing Unit

Automated Pixel‐Level Pavement Crack Detection on 3D Asphalt Surfaces Using a Deep‐Learning Network

Real time damage detection using recursive principal components and time varying auto-regressive modeling

Data-Driven Structural Health Monitoring Using Feature Fusion and Hybrid Deep Learning

Response‐only modal identification of structures using strong motion data

Response-only modal identification of structures using limited sensors

Extended Blind Modal Identification Technique for Nonstationary Excitations and Its Verification and Validation

A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications

Blind modal identification of structures from spatially sparse seismic response signals

Signal Processing Techniques for Vibration-Based Health Monitoring of Smart Structures

Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects

Applications of machine learning to machine fault diagnosis: A review and roadmap

Symbolic Important Point Perceptually and Hidden Markov Model Based Hydraulic Pump Fault Diagnosis Method

Blind modal identification of non-classically damped structures under non-stationary excitations

Hybrid Time‐Frequency Blind Source Separation Towards Ambient System Identification of Structures

Fault detection of gearboxes using synchro-squeezing transform

A decentralized blind source separation algorithm for ambient modal identification in the presence of narrowband disturbances

A Novel Damage Detection Algorithm using Time-Series Analysis-Based Blind Source Separation

Blind identification of earthquake-excited structures

An integrated multivariate empirical mode decomposition method towards modal identification of structures

Decentralized modal identification of structures using parallel factor decomposition and sparse blind source separation

A hybrid hidden Markov model towards fault detection of rotating components

A Novel Damage Detection Algorithm using Time-Series Analysis-Based Blind Source Separation

Towards damage detection using blind source separation integrated with time-varying auto-regressive modeling

Output-only de-tuning assessment of tuned mass dampers

Re-tuning tuned mass dampers using ambient vibration measurements

Underdetermined Blind Identification of Structures by Using the Modified Cross-Correlation Method