I. Lior

发表

Imaging an Underwater Basin and its Resonance Modes using Optical Fiber Distributed Acoustic Sensing

D. Rivet, J. Ampuero, A. Sladen, 2021, Seismological Research Letters.

Nanometer rough, sub-micrometer-thick and continuous diamond chemical vapor deposition film promoted by a synergetic ultrasonic effect

A. Hoffman, S. Michaelson, R. Akhvlediani, 2002 .

P‐Wave Attenuation with Implications for Earthquake Early Warning

R. Madariaga, A. Ziv, I. Lior, 2016 .

The Relation Between Ground Motion, Earthquake Source Parameters, and Attenuation: Implications for Source Parameter Inversion and Ground Motion Prediction Equations

A. Ziv, I. Lior, 2018, Journal of Geophysical Research: Solid Earth.

Generic Source Parameter Determination and Ground-Motion Prediction for Earthquake Early Warning

A. Ziv, I. Lior, 2020 .

Harnessing Distributed Acoustic Sensing for Earthquake Early Warning: Magnitude Estimation and Ground Motion Prediction

D. Rivet, J. Ampuero, S. Barrientos, 2022 .

Formation of the precursor for diamond growth by in situ direct current glow discharge pretreatment

I. Gouzman, A. Hoffman, I. Lior, 1998 .

Rapid response to the M w 4.9 earthquake of November 11, 2019 in Le Teil, Lower Rhône Valley, France

P. Allemand, P. Vernant, M. Métois, 2020, Comptes Rendus. Géoscience.

On the Detection Capabilities of Underwater DAS

Itzhak Lior, Anthony Sladen, Diane Rivet, 2020 .

Magnitude estimation and ground motion prediction to harness fiber optic distributed acoustic sensing for earthquake early warning

D. Rivet, J. Ampuero, S. Barrientos, 2023, Scientific Reports.

Strain to ground motion conversion of distributed acoustic sensing data for earthquake magnitude and stress drop determination

D. Rivet, J. Ampuero, A. Sladen, 2021 .

On the Detection Capabilities of Underwater Distributed Acoustic Sensing

C. Markou, Y. Hello, D. Rivet, 2021, Journal of Geophysical Research: Solid Earth.

High resolution seafloor thermometry for internal wave and upwelling monitoring using Distributed Acoustic Sensing

D. Rivet, J. Ampuero, I. Pairaud, 2023, Scientific reports.

A Self-Supervised Deep Learning Approach for Blind Denoising and Waveform Coherence Enhancement in Distributed Acoustic Sensing Data

C. Richard, A. Ferrari, J. Ampuero, 2021, IEEE Transactions on Neural Networks and Learning Systems.