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🔍 pratik joshi 📂 Engineering
Showing 162 results for "pratik joshi" in Engineering
Engineering Preprint PDF DOI

Detectability of Subtle Anomalies in Dynamical Systems via Log-Likelihood Ratio

Alejandro Penacho Riveiros, Matthieu Barreau, Nicola Bastianello · 2026

Industrial control applications require detecting system anomalies as accurately and quickly as possible to enable prompt maintenance. In this context, it is common to consider several possible plant …

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Engineering Preprint PDF DOI

Ring Mixing with Auxiliary Signal-to-Consistency-Error Ratio Loss for Unsupervised Denoising in Speech Separation

Matthew Maciejewski, Samuele Cornell · 2026

Noisy speech separation systems are typically trained on fully-synthetic mixtures, limiting generalization to real-world scenarios. Though training on mixtures of in-domain (thus often noisy) speech i…

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Engineering Preprint PDF DOI

RoSHI: A Versatile Robot-oriented Suit for Human Data In-the-Wild

Wenjing Margaret Mao, Jefferson Ng, Luyang Hu, Daniel Gehrig, Antonio Loquercio · 2026

Scaling up robot learning will likely require human data containing rich and long-horizon interactions in the wild. Existing approaches for collecting such data trade off portability, robustness to oc…

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Engineering Preprint PDF DOI

SSBI-Free Direct Detection via Phase Diverse of Residual Optical Carrier Enabled by Finite Extinction Ratio IQ Modulator for Datacenter Interconnections

Xiaobo Zeng, Liangcai Chen, Pan Liu, Ruonan Deng · 2026

Cost-effective, low-complexity and spectrally efficient interconnection can offer fundamental guiding law for future datacenter. In this work, we demonstrate a cost-efficient SSBI-free direct detectio…

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Engineering Preprint PDF DOI

AdaLoRA-QAT: Adaptive Low-Rank and Quantization-Aware Segmentation

Prantik Deb, Srimanth Dhondy, N. Ramakrishna, Anu Kapoor, Raju S. Bapi, Tapabrata Chakraborti · 2026

Chest X-ray (CXR) segmentation is an important step in computer-aided diagnosis, yet deploying large foundation models in clinical settings remains challenging due to computational constraints. We pro…

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Engineering Preprint PDF DOI

Nonlinear Flexibility Effects on Flight Dynamics of High-Aspect-Ratio Wings

Nikolaos D. Tantaroudas, Ilias Karachalios · 2026

This paper investigates the effects of geometric nonlinearity and structural flexibility on the flight dynamics of high-aspect-ratio wings representative of high-altitude long endurance aircraft confi…

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Engineering Preprint PDF DOI

High-Slip-Ratio Control for Peak Tire-Road Friction Estimation Using Automated Vehicles

Zhaohui Liang, Hang Zhou, Heye Huanh, Xiaopeng Li · 2026

Accurate estimation of the tire-road friction coefficient (TRFC) is critical for ensuring safe vehicle control, especially under adverse road conditions. However, most existing methods rely on natural…

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Engineering Preprint PDF DOI

Privacy-Preserving End-to-End Full-Duplex Speech Dialogue Models

Nikita Kuzmin, Tao Zhong, Jiajun Deng, Yingke Zhu, Tristan Tsoi, Tianxiang Cao, Simon Lui, Kong Aik Lee, Eng Siong Chng · 2026

End-to-end full-duplex speech models feed user audio through an always-on LLM backbone, yet the speaker privacy implications of their hidden representations remain unexamined. Following the VoicePriva…

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Engineering Preprint PDF DOI

Interpretable Multimodal Gesture Recognition for Drone and Mobile Robot Teleoperation via Log-Likelihood Ratio Fusion

Seungyeol Baek, Jaspreet Singh, Lala Shakti Swarup Ray, Hymalai Bello, Paul Lukowicz, Sungho Suh · 2026

Human operators are still frequently exposed to hazardous environments such as disaster zones and industrial facilities, where intuitive and reliable teleoperation of mobile robots and Unmanned Aerial…

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Engineering Preprint PDF DOI

GNSS Jamming Detection with Automatic Gain Control (AGC) and Carrier-to-Noise Ratio Density (CNO) Observables from a COTS receiver

Syed Ali Kazim (IRT Railenium), Anas Darwich (SNCF -- I&R), Juliette Marais (COSYS-LEOST) · 2026

As rail transport moves toward higher degrees of automation under initiatives like the R2DATO project [1], accurate and reliable train localization has become essential. Global Satellite Navigation Sy…

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Engineering Preprint PDF DOI

Power Margin Ratio -- A Large-Signal System Strength Metric for Inverter-Based Resources-Dominated Power Systems

Zitian Qiu, Yunjie Gu · 2026

As the growing penetration of inverter-based resources (IBRs) in modern power systems, the system strength is decreasing. Due to the inherent difference in short-circuit capacity contributions of sync…

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Engineering Preprint PDF DOI

Unsupervised Semi-Parametric Plug-in Likelihood-Ratio Detection for Covert Communications in the Presence of Disco Reconfigurable Intelligent Surfaces

Luyao Sun, Huan Huang, Yongxing Song, Zhongxing Tian, Hongliang Zhang, Weidong Mei, Dongdong Zou, Yi Cai · 2026

Covert communications, also referred to as low probability of detection (LPD) communications, provide a higher level of privacy protection than cryptography and physical-layer security (PLS) by hiding…

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Engineering Preprint PDF DOI

Class-Aware Permutation-Invariant Signal-to-Distortion Ratio for Semantic Segmentation of Sound Scene with Same-Class Sources

Binh Thien Nguyen, Masahiro Yasuda, Daiki Takeuchi, Daisuke Niizumi, Noboru Harada · 2026

To advance immersive communication, the Detection and Classification of Acoustic Scenes and Events (DCASE) 2025 Challenge recently introduced Task 4 on Spatial Semantic Segmentation of Sound Scenes (S…

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Engineering Preprint PDF DOI

JSR-GFNet: Jamming-to-Signal Ratio-Aware Dynamic Gating for Interference Classification in future Cognitive Global Navigation Satellite Systems

Zhihan Zeng, Hongyuan Shu, Kaihe Wang, Lu Chen, Amir Hussian, Yanjun Huang, Junchu Zhao, Yue Xiu, Zhongpei Zhang · 2026

The transition toward cognitive global navigation satellite system (GNSS) receivers requires accurate interference classification to trigger adaptive mitigation strategies. However, conventional metho…

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Engineering Preprint PDF DOI

The Area Signal-to-Noise Ratio: A Robust Alternative to Peak-Based SNR in Spectroscopic Analysis

Alex Yu, Huaqing Zhao, Lin Z. Li · 2025

In spectroscopic analysis, the peak-based signal-to-noise ratio (pSNR) is commonly used but suffers from limitations such as sensitivity to noise spikes and reduced effectiveness for broader peaks. We…

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Engineering Preprint PDF DOI

Analysis of Optimal Thrust to Mass Ratio Requirement for Maximizing Payload Mass of Lunar Landing Mission

Aditya Rallapalli, Suraj Kumar, Rijesh MP, C K Koteswar Rao, Bharat Kumar GVP · 2025

Recent successful lunar landing missions have generated significant interest among space agencies in establishing a permanent human settlement on the Moon. Building a lunar base requires multiple and …

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Engineering Preprint PDF DOI

The PV performance ratio paradox: annual data from large-scale, real-world PV systems show negligible meteorological and technical impact and points to dominant human factors

Hugo FM Milan, Aline Q Alves, Thatiane AT Souza, Juliana M Galo, Alex SC Maia, Moises AP Borges, Ciro J Egoavil · 2025

Performance ratio (PR) is a established measure of efficiency of photovoltaic (PV) systems. While previous research demonstrated the effects of meteorological and technical variables on PR, a gap pers…

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Engineering Preprint PDF DOI

A Study of the Scale Invariant Signal to Distortion Ratio in Speech Separation with Noisy References

Simon Dahl Jepsen, Mads Gr{ae}sb{o}ll Christensen, Jesper Rindom Jensen · 2025

This paper examines the implications of using the Scale-Invariant Signal-to-Distortion Ratio (SI-SDR) as both evaluation and training objective in supervised speech separation, when the training refer…

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Engineering Preprint PDF DOI

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks

Viraj Joshi, Zifan Xu, Bo Liu, Peter Stone, Amy Zhang · 2025

Multi-task Reinforcement Learning (MTRL) has emerged as a critical training paradigm for applying reinforcement learning (RL) to a set of complex real-world robotic tasks, which demands a generalizabl…

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Engineering Preprint PDF DOI

FD-Bench: A Full-Duplex Benchmarking Pipeline Designed for Full Duplex Spoken Dialogue Systems

Yizhou Peng, Yi-Wen Chao, Dianwen Ng, Yukun Ma, Chongjia Ni, Bin Ma, Eng Siong Chng · 2025

Full-duplex spoken dialogue systems (FDSDS) enable more natural human-machine interactions by allowing real-time user interruptions and backchanneling, compared to traditional SDS that rely on turn-ta…

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