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๐Ÿ” arghya pal ๐Ÿ“‚ Engineering
Showing 359 results for "arghya pal" in Engineering
Engineering Preprint PDF DOI

The manifold of unitary and symmetric matrices: characterization, Riemannian optimization and application to BD-RIS design

Ignacio Santamaria, Carlos Beltran, Eduard Jorswieck, Mohammad Soleymani, Jesus Gutierrez ยท 2026

This paper proposes and analyzes Riemannian optimization algorithms on the manifold of unitary and symmetric matrices, denoted ${\cal {U}}_s$, which naturally models the scattering matrices of passiveโ€ฆ

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Engineering Preprint PDF DOI

A Kinematic Analysis of Palm Degrees of Freedom for Enhancing Thumb Opposability in Robotic Hands

HyoJae Kang, Yeong Jae Park, Hyunmok Jung, Joonho Lee, Dong Il Park ยท 2026

This study investigates the kinematic role of palm degrees of freedom (DoF) in enhancing thumb opposability in a five-finger robotic hand. A hand model consisting of a five DoF thumb and four fingers โ€ฆ

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Engineering Preprint PDF DOI

Accurate Frequency Response Modeling in Integrated T&D Co-Simulation via EWMA-RTTA-Based Quadratic Extrapolation

Jong Ha Woo, Qi Xiao, Yu Ma, Zishuo Yang, Victor Daldegan Paduani, Ning Lu ยท 2026

The large-scale integration of inverter-based resources (IBRs), particularly distributed photovoltaics (DPVs), into distribution networks increases the need for integrated transmission and distributioโ€ฆ

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Engineering Preprint PDF DOI

Wildfires Quasi-Implicit Alternative-Direction Simulations using Isogeometric Finite Element Method

Juliusz Wasieleski, Tomasz S{l}uzalec, Maciej Wozniak, Marcin {L}os, Andres Medina, Paulina Sepulveda, Albert Oliver Serra, Eirik Valseth, Anna Paszynska, Maciej Paszynski ยท 2026

We develop a wildfire simulation model that evolves the temperature scalar field using an energy balance equation accounting for heat generation, transport, and loss. For these equations, we develop qโ€ฆ

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Engineering Preprint PDF DOI

CADRE: Card-Agnostic Domain-Aligned RF Embeddings for Virtual PIN Pads on Passive NFC Cards

Dickson Akuoko Sarpong, Hongzhi Guo ยท 2026

Near Field Communication (NFC) cards are widely used for identification, but their passive nature often limits the ability to incorporate additional security mechanisms. As a result, anyone holding thโ€ฆ

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Engineering Preprint PDF DOI

A-SLIP: Acoustic Sensing for Continuous In-hand Slip Estimation

Uksang Yoo, Yuemin Mao, Jean Oh, Jeffrey Ichnowski ยท 2026

Reliable in-hand manipulation requires accurate real-time estimation of slip between a gripper and a grasped object. Existing tactile sensing approaches based on vision, capacitance, or force-torque mโ€ฆ

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Engineering Preprint PDF DOI

Probably Approximately Correct (PAC) Guarantees for Data-Driven Reachability Analysis: A Theoretical and Empirical Comparison

Elizabeth Dietrich, Hanna Krasowski, Murat Arcak ยท 2026

Reachability analysis evaluates system safety, by identifying the set of states a system may evolve within over a finite time horizon. In contrast to model-based reachability analysis, data-driven reaโ€ฆ

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Engineering Preprint PDF DOI

Data-Driven Reachability Analysis via Diffusion Models with PAC Guarantees

Yanliang Huang, Peng Xie, Wenyuan Wu, Zhuoqi Zeng, Amr Alanwar ยท 2026

We present a data-driven framework for reachability analysis of nonlinear dynamical systems that requires no explicit model. A denoising diffusion probabilistic model learns the time-evolving state diโ€ฆ

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Engineering Preprint PDF DOI

Evaluation of neuroCombat and deep learning harmonization for multi-site magnetic resonance neuroimaging in youth with prenatal alcohol exposure

Chloe Scholten, Elyssa M. McMaster, Adam M. Saunders, Michael E. Kim, Gaurav Rudravaram, Elias Levy, Bryce Geeraert, Lianrui Zuo, Simon Vandekar, Catherine Lebel, Bennett A. Landman ยท 2026

In cases of prevalent diseases and disorders, such as Prenatal Alcohol Exposure (PAE), multi-site data collection allows for increased study samples. However, multi-site studies introduce additional vโ€ฆ

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Engineering Preprint PDF DOI

Saranga: MilliWatt Ultrasound for Navigation in Visually Degraded Environments on Palm-Sized Aerial Robots

Manoj Velmurugan, Phillip Brush, Colin Balfour, Richard J. Przybyla, Nitin J. Sanket ยท 2026

Tiny palm-sized aerial robots possess exceptional agility and cost-effectiveness in navigating confined and cluttered environments. However, their limited payload capacity directly constrains the sensโ€ฆ

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Engineering Preprint PDF DOI

Towards Semantic-based Agent Communication Networks: Vision, Technologies, and Challenges

Ping Zhang, Rui Meng, Xiaodong Xu, Yaheng Wang, Zixuan Huang, Yiming Liu, Ruichen Zhang, Yinqiu Liu, Haonan Tong, Huishi Song, Gang Wu, Zhaoming Lu, Jiawen Kang, Geng Sun, Qinghe Du, Zhaohui Yang, Jingxuan Zhang, Han Meng, Lexi Xu, Haitao Zhao, Zesong Fei, Yiqing Zhou, Pei Xiao, Meixia Tao, Qinyu Zhang, Shuguang Cui, Rahim Tafazolli ยท 2026

The International Telecommunication Union (ITU) identifies "Artificial Intelligence (AI) and Communication" as one of six key usage scenarios for 6G. Agentic AI, characterized by its ca-pabilities in โ€ฆ

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Engineering Preprint PDF DOI

Deep Learning-Driven Black-Box Doherty Power Amplifier with Pixelated Output Combiner and Extended Efficiency Range

Han Zhou, Haojie Chang, David Widen ยท 2026

This article presents a deep learning-driven inverse design methodology for Doherty power amplifiers (PA) with multi-port pixelated output combiner networks. A deep convolutional neural network (CNN) โ€ฆ

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Engineering Preprint PDF DOI

Conformalized Data-Driven Reachability Analysis with PAC Guarantees

Yanliang Huang, Zhen Zhang, Peng Xie, Zhuoqi Zeng, Amr Alanwar ยท 2026

Data-driven reachability analysis computes over-approximations of reachable sets directly from noisy data. Existing deterministic methods require either known noise bounds or system-specific structuraโ€ฆ

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Engineering Preprint PDF DOI

MuxGel: Simultaneous Dual-Modal Visuo-Tactile Sensing via Spatially Multiplexing and Deep Reconstruction

Zhixian Hu, Zhengtong Xu, Sheeraz Athar, Juan Wachs, Yu She ยท 2026

High-fidelity visuo-tactile sensing is important for precise robotic manipulation. However, most vision-based tactile sensors face a fundamental trade-off: opaque coatings enable tactile sensing but bโ€ฆ

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Engineering Preprint PDF DOI

CRED: Counterfactual Reasoning and Environment Design for Active Preference Learning

Yi-Shiuan Tung, Gyanig Kumar, Wei Jiang, Bradley Hayes, Alessandro Roncone ยท 2026

As a robot's operational environment and tasks to perform within it grow in complexity, the explicit specification and balancing of optimization objectives to achieve a preferred behavior profile moveโ€ฆ

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Engineering Preprint PDF DOI

EndoSERV: A Vision-based Endoluminal Robot Navigation System

Junyang Wu, Fangfang Xie, Minghui Zhang, Hanxiao Zhang, Jiayuan Sun, Yun Gu, Guang-Zhong Yang ยท 2026

Robot-assisted endoluminal procedures are increasingly used for early cancer intervention. However, the intricate, narrow and tortuous pathways within the luminal anatomy pose substantial difficultiesโ€ฆ

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Engineering Preprint PDF DOI

Revitalizing AR Process Simulation of Non-Gaussian Radar Clutter via Series-Based Analytic Continuation

Xingxing Liao, Junhao Xie ยท 2026

Due to the conceptual simplicity, the linear filtering framework, notably the autoregressive (AR) process, has a long history in simulating clutter sequences with specified probability density functioโ€ฆ

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Engineering Preprint PDF DOI

A Fully Open-source Implementation of an Analog 8-PAM Demapper for High-speed Communications

Mohamed Aiham Hemza, Alex Alvarado, Krzysztof Herman, Piyush Kaul ยท 2026

Spectrally-efficient communication systems rely on the use of multi-level modulation formats. At the receiver side, a demodulator is often used to extract soft information about the transmitted bits. โ€ฆ

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Engineering Preprint PDF DOI

PAC Finite-Time Safety Guarantees for Stochastic Systems with Unknown Disturbance Distributions

Taoran Wu, Dominik Wagner, C.-H. Luke Ong, Bai Xue ยท 2026

We investigate the problem of establishing finite-time probabilistic safety guarantees for discrete-time stochastic dynamical systems subject to unknown disturbance distributions, using barrier certifโ€ฆ

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Engineering Preprint PDF DOI

Training with Hard Constraints: Learning Neural Certificates and Controllers for SDEs

Chun-Wei Kong, Sebastian Escobar, Ibon Gracia, Jay McMahon, Morteza Lahijanian ยท 2026

Due to their expressive power, neural networks (NNs) are promising templates for functional optimization problems, particularly for reach-avoid certificate generation for systems governed by stochastiโ€ฆ

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