Early prediction of COVID-19 outcome using artificial intelligence techniques and only five laboratory indices

• Panagiotis G. Asteris, Styliani Kokoris, Eleni Gavriilaki , Markos Z. Tsoukalas , Maosen Cao
• 2022

COVID-19SARS-CoV2Laboratory indicesArtificial intelligenceArtificial neural networks

Nonlinear oscillations of cracked large-amplitude vibrating plates subjected to harmonic loads

• Dayang Li, Maosen Cao, Emil Manoach, Minvydas Ragulskis
• 2022

Nonlinear oscillation, Large amplitude vibration, Modified line spring model, Hardening nonlinear frequency response, Bifurcations, Chaotic dynamics, Damage characterization, Crack evolution

A directional continuous wavelet transform of mode shape for line-type damage detection in plate-type structures

• Binkai Shi, Maosen Cao, Zijian Wang, Wieslaw Ostachowicz
• 2022

Line-type damage, Continuous wavelet transform, Plates, Damage detection, PZTScanning laser Doppler vibrometer

A new self-adaptive quasi-oppositional stochastic fractal search for the inverse problem of structural damage assessment

• Nizar Faisal Alkayem, Lei Shen, Panagiotis G. Asteris, Milan Sokol, Zhiqiang Xin, Maosen Cao
• 2022

Structural damage assessment, Stochastic fractal search, Quasi-oppositional learning, Modal features

A nonlinearity-sensitive approach for detection of “breathing” cracks relying on energy modulation effect

• Maosen Cao, Qitian Lu, Zhongqing Su, Maciej Radzieński, Wei Xu, Wiesław Ostachowicz
• 2022

“Breathing” crack, Higher harmonics, Energy modulation effect, Quadratic Teager-Kaiser energy, Non-contact laser measurement