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๐Ÿ” ramin hasani ๐Ÿ“‚ Engineering
Showing 285 results for "ramin hasani" in Engineering
Engineering Preprint PDF DOI

A Novel Piecewise Atmospheric Attenuation Model for Free Space Optical Links in Vertical Heterogeneous Networks

Eylem Erdogan, Mohammed Elamassie, Ibrahim Altunbas, Gunes Karabulut Kurt, Murat Uysal, Halim Yanikomeroglu ยท 2026

Free-space optical (FSO) communication is emerging as a key backhaul technology for next-generation vertical heterogeneous networks (VHetNets), whose architecture spans satellites, high-altitude platfโ€ฆ

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Engineering Preprint PDF DOI

Rain Rate Estimation Bounds and Weather-Adaptive Pilot Allocation for LEO Satellite ISAC

Haofan Dong, Houtianfu Wang, Hanlin Cai, O. Tansel Baydas, Ozgur B. Akan ยท 2026

Rain attenuates Ku-band satellite signals by up to 20~dB, encoding precipitation information along the Earth-space slant path. This paper derives the Bayesian Cram\'{e}r-Rao bound (BCRB) for rain rateโ€ฆ

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Engineering Preprint PDF DOI

Compositional-Degradation UAV Image Restoration: Conditional Decoupled MoE Network and A Benchmark

Jinquan Yan, Zhicheng Zhao, Zhengzheng Tu, Chenglong Li, Jin Tang, Bin Luo ยท 2026

UAV images are critical for applications such as large-area mapping, infrastructure inspection, and emergency response. However, in real-world flight environments, a single image is often affected by โ€ฆ

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Engineering Preprint PDF DOI

RAIN-FIT: Learning of Fitting Surfaces and Noise Distribution from Large Data Sets

Omar M. Sleem, Sahand Kiani, Constantino M. Lagoa ยท 2026

This paper proposes a method for estimating a surface that contains a given set of points from noisy measurements. More precisely, by assuming that the surface is described by the zero set of a functiโ€ฆ

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Engineering Preprint PDF DOI

Simulating Realistic LiDAR Data Under Adverse Weather for Autonomous Vehicles: A Physics-Informed Learning Approach

Vivek Anand, Bharat Lohani, Rakesh Mishra, Gaurav Pandey ยท 2026

Accurate LiDAR simulation is crucial for autonomous driving, especially under adverse weather conditions. Existing methods struggle to capture the complex interactions between LiDAR signals and atmospโ€ฆ

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Engineering Preprint PDF DOI

VAANI: Capturing the language landscape for an inclusive digital India

Sujith Pulikodan, Abhayjeet Singh, Agneedh Basu, Nihar Desai, Pavan Kumar J, Pranav D Bhat, Raghu Dharmaraju, Ritika Gupta, Sathvik Udupa, Saurabh Kumar, Sumit Sharma, Vaibhav Vishwakarma, Visruth Sanka, Dinesh Tewari, Harsh Dhand, Amrita Kamat, Sukhwinder Singh, Shikhar Vashishth, Partha Talukdar, Raj Acharya, Prasanta Kumar Ghosh ยท 2026

Project VAANI is an initiative to create an India-representative multi-modal dataset that comprehensively maps India's linguistic diversity, starting with 165 districts across the country in its firstโ€ฆ

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Engineering Preprint PDF DOI

Language-Free Generative Editing from One Visual Example

Omar Elezabi, Eduard Zamfir, Zongwei Wu, Radu Timofte ยท 2026

Text-guided diffusion models have advanced image editing by enabling intuitive control through language. However, despite their strong capabilities, we surprisingly find that SOTA methods struggle witโ€ฆ

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Engineering Preprint PDF DOI

Lightweight Model Predictive Control for Spacecraft Rendezvous Attitude Synchronization

Peter Stadler, Alexander Meinert, Niklas Baldauf, Alen Turnwald ยท 2026

This work introduces two lightweight model predictive control (MPC) approaches for attitude tracking with reaction wheels during spacecraft rendezvous synchronization. Both approaches are based on a nโ€ฆ

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Engineering Preprint PDF DOI

SLAM Adversarial Lab: An Extensible Framework for Visual SLAM Robustness Evaluation under Adverse Conditions

Mohamed Hefny, Karthik Dantu, Steven Y. Ko ยท 2026

We present SAL (SLAM Adversarial Lab), a modular framework for evaluating visual SLAM systems under adversarial conditions such as fog and rain. SAL represents each adversarial condition as a perturbaโ€ฆ

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Engineering Preprint PDF DOI

Load Balancing in Non-Terrestrial Networks Using Free Space Optical Inter-satellite Links

Abid Afridi, Alexis A. Dowhuszko, Jevgenij Krivochiza, Risto Wichman, Jyri Hamalainen ยท 2026

Non-terrestrial networks (NTNs) increasingly rely on non-geostationary (NGSO) constellations that combine radio frequency (RF) feeder links (FLs) with free space optical (FSO) inter-satellite links (Iโ€ฆ

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Engineering Preprint PDF DOI

A Robust Simulation Framework for Verification and Validation of Autonomous Maritime Navigation in Adverse Weather and Constrained Environments

Mayur S. Patil, Nataraj Sudharsan, Anthony S. Saaiby, JiaChang Xing, Keliang Pan, Veneela Ammula, Jude Tomdio, Jin Wang, Michael Kei, Heonyong Kang, Sivakumar Rathinam, Prabhakar R. Pagilla ยท 2026

Maritime Autonomous Surface Ships (MASS) have emerged as a promising solution to enhance navigational safety, operational efficiency, and long-term cost effectiveness. However, their reliable deploymeโ€ฆ

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Engineering Preprint PDF DOI

Wild-Drive: Off-Road Scene Captioning and Path Planning via Robust Multi-modal Routing and Efficient Large Language Model

Zihang Wang, Xu Li, Benwu Wang, Wenkai Zhu, Xieyuanli Chen, Dong Kong, Kailin Lyu, Yinan Du, Yiming Peng, Haoyang Che ยท 2026

Explainability and transparent decision-making are essential for the safe deployment of autonomous driving systems. Scene captioning summarizes environmental conditions and risk factors in natural lanโ€ฆ

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Engineering Preprint PDF DOI

Joint Subcarrier Phase Recovery for Nonlinearity Mitigation

Marco Secondini, Stella Civelli ยท 2026

We propose a low-complexity phase recovery scheme that simultaneously mitigates laser phase noise and fiber nonlinearity across several subcarriers. In a long single-span link with Raman amplificationโ€ฆ

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Engineering Preprint PDF DOI

RamanSeg: Interpretability-driven Deep Learning on Raman Spectra for Cancer Diagnosis

Chris Tomy, Mo Vali, David Pertzborn, Tammam Alamatouri, Anna Muhlig, Orlando Guntinas-Lichius, Anna Xylander, Eric Michele Fantuzzi, Matteo Negro, Francesco Crisafi, Pietro Lio, Tiago Azevedo ยท 2026

Histopathology, the current gold standard for cancer diagnosis, involves the manual examination of tissue samples after chemical staining, a time-consuming process requiring expert analysis. Raman speโ€ฆ

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Engineering Preprint PDF DOI

A Cost-Effective and Climate-Resilient Air Pressure System for Rain Effect Reduction on Automated Vehicle Cameras

Mohamed Sabry, Joseba Gorospe, Cristina Olaverri-Monreal ยท 2026

Recent advances in automated vehicles have focused on improving perception performance under adverse weather conditions; however, research on physical hardware solutions remains limited, despite theirโ€ฆ

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Engineering Preprint PDF DOI

Robustness Is a Function, Not a Number: A Factorized Comprehensive Study of OOD Robustness in Vision-Based Driving

Amir Mallak, Alaa Maalouf ยท 2026

Out of distribution (OOD) robustness in autonomous driving is often reduced to a single number, hiding what breaks a policy. We decompose environments along five axes: scene (rural/urban), season, weaโ€ฆ

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Engineering Preprint PDF DOI

IDSOR: Intensity- and Distance-Aware Statistical Outlier Removal for Weather-Robust LiDAR Point Clouds

Chenyang Yan, Mats Bengtsson ยท 2026

LiDAR point clouds captured in rain or snow are often corrupted by weather-induced returns, which can degrade perception and safety-critical scene understanding. This paper proposes Intensity- and Disโ€ฆ

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Engineering Preprint PDF DOI

Uncertainty-Weighted Multi-Task CNN for Joint DoA and Rain-Rate Estimation Under Rain-Induced Array Distortions

Chenyang Yan, Ruonan Yang, Shunqiao Sun, Mats Bengtsson ยท 2026

We investigate joint direction-of-arrival (DoA) and rain-rate estimation for a uniform linear array operating under rain-induced multiplicative distortions. Building on a wavefront fluctuation model wโ€ฆ

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Engineering Preprint PDF DOI

Robust Covariance-Based DoA Estimation under Weather-Induced Distortion

Chenyang Yan, Geert Leus, Mats Bengtsson ยท 2026

We investigate robust direction-of-arrival (DoA) estimation for sensor arrays operating in adverse weather conditions, where weather-induced distortions degrade estimation accuracy. Building on a physโ€ฆ

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Engineering Preprint PDF DOI

Learning-based Force Sensing and Impedance Matching for Safe Haptic Feedback in Robot-assisted Laparoscopic Surgery

Aiden (Mohammad) Mazidi, Majid Roshanfar, Amir Sayadi, Javad Dargahi, Jake Barralet, Liane S. Feldman, Amir Hooshiar ยท 2026

Integrating accurate haptic feedback into robot-assisted minimally invasive surgery (RAMIS) remains challenging due to difficulties in precise force rendering and ensuring system safety during teleopeโ€ฆ

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