I. S. Bozchalooi

发表

Performance comparison of neural network training algorithms in modeling of bimodal drug delivery.

A. Ghaffari, H. Abdollahi, M. Khoshayand, 2006, International journal of pharmaceutics.

A smoothness index-guided approach to wavelet parameter selection in signal de-noising and fault detection

I. S. Bozchalooi, M. Liang, 2007 .

A joint resonance frequency estimation and in-band noise reduction method for enhancing the detectability of bearing fault signals

I. S. Bozchalooi, M. Liang, 2008 .

Teager energy operator for multi-modulation extraction and its application for gearbox fault detection

I. Soltani Bozchalooi, Ming Liang, I. S. Bozchalooi, 2010 .

High-bandwidth AFM-based rheology reveals that cartilage is most sensitive to high loading rates at early stages of impairment.

K. Youcef-Toumi, A. Grodzinsky, I. S. Bozchalooi, 2013, Biophysical journal.

Rebuttal to “On the distribution of the modulus of Gabor wavelet coefficients and the upper bound of the dimensionless smoothness index in the case of additive Gaussian noises: Revisited” by Dong Wang, Qiang Zhou, and Kwok-Leung Tsui

I. S. Bozchalooi, Ming Liang, 2017 .

An energy operator approach to joint application of amplitude and frequency-demodulations for bearing fault detection ☆

I. Soltani Bozchalooi, Ming Liang, I. S. Bozchalooi, 2010 .

Parameter-free bearing fault detection based on maximum likelihood estimation and differentiation

Ming Liang, I. S. Bozchalooi, M. Liang, 2009 .

In-line identification of oil debris signals: an adaptive subband filtering approach

I. Soltani Bozchalooi, Ming Liang, I. S. Bozchalooi, 2009 .

A Combined Spectral Subtraction and Wavelet De-Noising Method for Bearing Fault Diagnosis

Ming Liang, I.S. Bozchalooi, I. S. Bozchalooi, 2007, 2007 American Control Conference.

Aggrecan nanoscale solid-fluid interactions are a primary determinant of cartilage dynamic mechanical properties.

Kamal Youcef-Toumi, Hadi Tavakoli Nia, Christine Ortiz, 2015, ACS nano.

Review Article: Active scanning probes: A versatile toolkit for fast imaging and emerging nanofabrication

Ivo W. Rangelow, Kamal Youcef-Toumi, Fangzhou Xia, 2017 .

Targeted collapse regularized autoencoder for anomaly detection: black hole at the center

Rajesh K. Gupta, Dimitar Filev, I. S. Bozchalooi, 2023, ArXiv.

Multi-eigenmode control for high material contrast in bimodal and higher harmonic atomic force microscopy

Kamal Youcef-Toumi, Iman Soltani Bozchalooi, I. Rangelow, 2015, Nanotechnology.

Regularized Cycle Consistent Generative Adversarial Network for Anomaly Detection

Eric F Darve, I. S. Bozchalooi, Ziyi Yang, 2020, ECAI.

One-Shot Learning of Visual Path Navigation for Autonomous Vehicles

I. S. Bozchalooi, Debo Shi, A. Ghafourian, 2023, arXiv.org.

Memory-Augmented Generative Adversarial Networks for Anomaly Detection pdf

Eric Darve, Ziyi Yang, Teng Zhang, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Deep Bayesian-Assisted Keypoint Detection for Pose Estimation in Assembly Automation

I. S. Bozchalooi, T. Lasky, D. Upadhyay, 2023, Sensors.

Compensator design for improved counterbalancing in high speed atomic force microscopy.

K. Youcef-Toumi, I. S. Bozchalooi, G. Fantner, 2011, The Review of scientific instruments.

Estimator based multi-eigenmode control of cantilevers in multifrequency Atomic Force Microscopy

Kamal Youcef-Toumi, Iman Soltani Bozchalooi, Andreas Schuh, 2015, 2015 American Control Conference (ACC).

A study on the effectiveness of proportional-integral-derivative control in multi-actuated atomic force microscopy

Kamal Youcef-Toumi, Iman Soltani Bozchalooi, A. C. Houck, 2015, 2015 American Control Conference (ACC).

Multi-actuation and PI control: a simple recipe for high-speed and large-range atomic force microscopy.

K. Youcef-Toumi, I. S. Bozchalooi, 2014, Ultramicroscopy.

MIT Open Access

A. Grodzinsky, I. S. Bozchalooi, Han-Hwa Hung, 2022 .

MIT Open Access

A. Grodzinsky, I. S. Bozchalooi, Han-Hwa Hung, 2022 .