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๐Ÿ” ansar javed ๐Ÿ“‚ Engineering
Showing 183 results for "ansar javed" in Engineering
Engineering Preprint PDF DOI

Deep Learning-Based Snow Depth Retrieval Using Sentinel-1 Repeat-Pass InSAR

Nayan Yadav, Shadi Oveisgharan, Shirin Jalali ยท 2026

Snow depth plays a central role in seasonal snowpack characterization and the terrestrial water cycle, yet remains challenging to estimate at high spatial resolution. Recent studies have shown that reโ€ฆ

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Engineering Preprint PDF DOI

Model-Based Data-Efficient and Robust Reinforcement Learning

Ludvig Svedlund, Constantin Cronrath, Jonas Fredriksson, Bengt Lennartson ยท 2026

A data-efficient learning-based control design method is proposed in this paper. It is based on learning a system dynamics model that is then leveraged in a two-level procedure. On the higher level, aโ€ฆ

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Engineering Preprint PDF DOI

Meta-Backscatter: Long-Distance Battery-Free Metamaterial-Backscatter Sensing and Communication

Taorui Liu, Xu Liu, Zhiquan Xu, Houfeng Chen, Hongliang Zhang, Lingyang Song ยท 2026

Battery-free Internet of Things (BF-IoT) enabled by backscatter communication is a rapidly evolving technology offering advantages of low cost, ultra-low power consumption, and robustness. However, thโ€ฆ

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Engineering Preprint PDF DOI

A multimodal Transformer for InSAR-based ground deformation forecasting with cross-site generalization across Europe

Wendong Yao, Binhua Huang, Soumyabrata Dev ยท 2025

Near-real-time regional-scale monitoring of ground deformation is increasingly required to support urban planning, critical infrastructure management, and natural hazard mitigation. While Interferometโ€ฆ

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Engineering Preprint PDF DOI

Evaluating the Deformation Measurement Accuracy Using Low-SNR Radars for Future InSAR Missions

Emre Havazli, Shadi Oveisgharan, Michael Denbina, Brian Hawkins ยท 2025

Interferometric Synthetic Aperture Radar (InSAR) is a powerful tool for monitoring surface deformation with high precision. However, low Signal-to-Noise Ratio (SNR) conditions, common in regions with โ€ฆ

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Engineering Preprint PDF DOI

A Multi-Robot Platform for Robotic Triage Combining Onboard Sensing and Foundation Models

Jason Hughes, Marcel Hussing, Edward Zhang, Shenbagaraj Kannapiran, Joshua Caswell, Kenneth Chaney, Ruichen Deng, Michaela Feehery, Agelos Kratimenos, Yi Fan Li, Britny Major, Ethan Sanchez, Sumukh Shrote, Youkang Wang, Jeremy Wang, Daudi Zein, Luying Zhang, Ruijun Zhang, Alex Zhou, Tenzi Zhouga, Jeremy Cannon, Zaffir Qasim, Jay Yelon, Fernando Cladera, Kostas Daniilidis, Camillo J. Taylor, Eric Eaton ยท 2025

This report presents a heterogeneous robotic system designed for remote primary triage in mass-casualty incidents (MCIs). The system employs a coordinated air-ground team of unmanned aerial vehicles (โ€ฆ

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Engineering Preprint PDF DOI

A mixed-signal analogue front-end for brain-implantable neural interfaces using a digital fixed-point IIR filter and bulk offset cancellation

Dimitris Antoniadis, Timothy G. Constandinou ยท 2025

Advances in miniaturised implantable neural electronics have paved the way for therapeutic brain-computer interfaces with clinical potential for movement disorders, epilepsy, and broader neurological โ€ฆ

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Engineering Preprint PDF DOI

Near-Real-Time InSAR Phase Estimation for Large-Scale Surface Displacement Monitoring

Scott Staniewicz, Sara Mirzaee, Heresh Fattahi, Talib Oliver-Cabrera, Emre Havazli, Geoffrey Gunter, Se-Yeon Jeon, Mary Grace Bato, Jinwoo Kim, Simran S. Sangha, Bruce Chapman, Alexander L. Handwerger, Marin Govorcin, Piyush Agram, David Bekaert ยท 2025

Operational near-real-time monitoring of Earth's surface deformation using Interferometric Synthetic Aperture Radar (InSAR) requires processing algorithms that efficiently incorporate new acquisitionsโ€ฆ

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Engineering Preprint PDF DOI

High-Resolution Forest Mapping from L-Band Interferometric SAR Time Series using Deep Learning over Northern Spain

Chiara Telli, Oleg Antropov, Anne Lonnqvist, Marco Lavalle ยท 2025

In this study, we examine the potential of high-resolution forest mapping using L-band interferometric time series datasets and deep learning modeling. Our SAR data are represented by a time series ofโ€ฆ

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Engineering Preprint PDF DOI

TASU: Text-Only Alignment for Speech Understanding

Jing Peng, Yi Yang, Xu Li, Yu Xi, Quanwei Tang, Yangui Fang, Junjie Li, Kai Yu ยท 2025

Recent advances in Speech Large Language Models (Speech LLMs) have paved the way for unified architectures across diverse speech understanding tasks. However, prevailing alignment paradigms rely heaviโ€ฆ

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Engineering Preprint PDF DOI

Heuristic Quality Coefficients for Interferometric Phase Linking

Magnus Heimpel, Irena Hajnsek, Othmar Frey ยท 2025

In multitemporal InSAR, phase linking (PL) refers to the estimation of a single-reference interferometric phase history for distributed scatterers (DS) from the information contained in the sample cohโ€ฆ

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Engineering Preprint PDF DOI

New Location Science Models with Applications to UAV-Based Disaster Relief

Sina Kazemdehbashi, Yanchao Liu, Boris S. Mordukhovich ยท 2025

Natural and human-made disasters can cause severe devastation and claim thousands of lives worldwide. Therefore, developing efficient methods for disaster response and management is a critical task foโ€ฆ

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Engineering Preprint PDF DOI

LLM Trainer: Automated Robotic Data Generating via Demonstration Augmentation using LLMs

Abraham George, Amir Barati Farimani ยท 2025

We present LLM Trainer, a fully automated pipeline that leverages the world knowledge of Large Language Models (LLMs) to transform a small number of human demonstrations (as few as one) into a large rโ€ฆ

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Engineering Preprint PDF DOI

Non-expert to Expert Motion Translation Using Generative Adversarial Networks

Yuki Tanaka, Seiichiro Katsura ยท 2025

Decreasing skilled workers is a very serious problem in the world. To deal with this problem, the skill transfer from experts to robots has been researched. These methods which teach robots by human mโ€ฆ

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Engineering Preprint PDF DOI

Towards Diagnostic Quality Flat-Panel Detector CT Imaging Using Diffusion Models

Helene Corbaz, Anh Nguyen, Victor Schulze-Zachau, Paul Friedrich, Alicia Durrer, Florentin Bieder, Philippe C. Cattin, Marios N Psychogios ยท 2025

Patients undergoing a mechanical thrombectomy procedure usually have a multi-detector CT (MDCT) scan before and after the intervention. The image quality of the flat panel detector CT (FDCT) present iโ€ฆ

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Engineering Preprint PDF DOI

Semi-Unsupervised Microscopy Segmentation with Fuzzy Logic and Spatial Statistics for Cross-Domain Analysis Using a GUI

Surajit Das, Pavel Zun ยท 2025

Brightfield microscopy of unstained live cells is challenging due to low contrast, dynamic morphology, uneven illumination, and lack of labels. Deep learning achieved SOTA performance on stained, highโ€ฆ

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Engineering Preprint PDF DOI

A k-space approach to modeling multi-channel parametric array loudspeaker systems

Tao Zhuang, Longbiao He, Feng Niu, Jia-Xin Zhong, Jing Lu ยท 2025

Multi-channel parametric array loudspeaker (MCPAL) systems offer enhanced flexibility and promise for generating highly directional audio beams in real-world applications. However, efficient and accurโ€ฆ

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Engineering Preprint PDF DOI

Sensing Accuracy Optimization for Multi-UAV SAR Interferometry with Data Offloading

Mohamed-Amine Lahmeri, Pouya Fakharizadeh, Victor Mustieles-Perez, Martin Vossiek, Gerhard Krieger, Robert Schober ยท 2025

The integration of unmanned aerial vehicles (UAVs) with radar imaging sensors has revolutionized the monitoring of dynamic and local Earth surface processes by enabling high-resolution and cost-effectโ€ฆ

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Engineering Preprint PDF DOI

Deep Reinforcement Learning in Applied Control: Challenges, Analysis, and Insights

Klinsmann Agyei, Pouria Sarhadi, Daniel Polani ยท 2025

Over the past decade, remarkable progress has been made in adopting deep neural networks to enhance the performance of conventional reinforcement learning. A notable milestone was the development of Dโ€ฆ

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Engineering Preprint PDF DOI

Risk-Aware Aerocapture Guidance Through a Probabilistic Indicator Function

Grace E. Calkins, Jay W. McMahon, Alireza Doostan, David C. Woffinden ยท 2025

Aerocapture is sensitive to trajectory errors, particularly for low-cost missions with imprecise navigation. For such missions, considering the probability of each failure mode when computing guidanceโ€ฆ

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