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🔍 mohan sarovar 📂 Engineering
Showing 10 results for "mohan sarovar" in Engineering
Engineering Preprint PDF DOI

ModAn-MulSupCon: Modality-and Anatomy-Aware Multi-Label Supervised Contrastive Pretraining for Medical Imaging

Eichi Takaya, Ryusei Inamori · 2025

Background and objective: Expert annotations limit large-scale supervised pretraining in medical imaging, while ubiquitous metadata (modality, anatomical region) remain underused. We introduce ModAn-M…

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Engineering Preprint PDF DOI

Sample Complexity for Evaluating the Robust Linear Observers Performance under Coprime Factors Uncertainty

Yifei Zhang, Sourav Kumar Ukil, Andrei Sperila, Serban Sabau · 2022

This paper addresses the end-to-end sample complexity bound for learning in closed loop the state estimator-based robust H2 controller for an unknown (possibly unstable) Linear Time Invariant (LTI) sy…

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Engineering Preprint PDF DOI

Fast strategies for multi-temporal speckle reduction of Sentinel-1 GRD images

Ines Meraoumia, Emanuele Dalsasso, Loic Denis, Florence Tupin · 2022

Reducing speckle and limiting the variations of the physical parameters in Synthetic Aperture Radar (SAR) images is often a key-step to fully exploit the potential of such data. Nowadays, deep learnin…

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Engineering Preprint PDF DOI

RoVaR: Robust Multi-agent Tracking through Dual-layer Diversity in Visual and RF Sensor Fusion

Mallesham Dasari, Ramanujan K Sheshadri, Karthikeyan Sundaresan, Samir R. Das · 2022

The plethora of sensors in our commodity devices provides a rich substrate for sensor-fused tracking. Yet, today's solutions are unable to deliver robust and high tracking accuracies across multiple a…

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Engineering Preprint PDF DOI

Sample Complexity of the Robust LQG Regulator with Coprime Factors Uncertainty

Yifei Zhang, Sourav Kumar Ukil, Ephraim Neimand, Serban Sabau, Myron E. Hohil · 2021

This paper addresses the end-to-end sample complexity bound for learning the H2 optimal controller (the Linear Quadratic Gaussian (LQG) problem) with unknown dynamics, for potentially unstable Linear …

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Engineering Preprint PDF DOI

Despeckling Sentinel-1 GRD images by deep learning and application to narrow river segmentation

Nicolas Gasnier, Emanuele Dalsasso, Loic Denis, Florence Tupin · 2021

This paper presents a despeckling method for Sentinel-1 GRD images based on the recently proposed framework "SAR2SAR": a self-supervised training strategy. Training the deep neural network on collecti…

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Engineering Preprint PDF DOI

SAR2SAR: a semi-supervised despeckling algorithm for SAR images

Emanuele Dalsasso, Loic Denis, Florence Tupin · 2020

Speckle reduction is a key step in many remote sensing applications. By strongly affecting synthetic aperture radar (SAR) images, it makes them difficult to analyse. Due to the difficulty to model the…

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Engineering Preprint PDF DOI

AC OPF in Radial Distribution Networks - Parts I,II

Konstantina Christakou, Dan-Cristian Tomozei, Jean-Yves Le Boudec, Mario Paolone · 2015

The optimal power-flow problem (OPF) has played a key role in the planning and operation of power systems. Due to the non-linear nature of the AC power-flow equations, the OPF problem is known to be n…

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Engineering Preprint PDF DOI

On the Fixation Probability of Superstars

Josep Diaz, Leslie Ann Goldberg, George B. Mertzios, David Richerby, Maria Serna, Paul G. Spirakis · 2012

The Moran process models the spread of genetic mutations through a population. A mutant with relative fitness $r$ is introduced into a population and the system evolves, either reaching fixation (in w…

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Engineering Preprint PDF DOI

Proceedings Second International Workshop on Computational Models for Cell Processes

Ralph-Johan Back ({AA}bo Akademi University, Finland), Ion Petre ({AA}bo Akademi University, Finland), Erik de Vink (Eindhoven University of Technology, the Netherlands) · 2009

The second international workshop on Computational Models for Cell Processes (ComProc 2009) took place on November 3, 2009 at the Eindhoven University of Technology, in conjunction with Formal Methods…

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