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๐Ÿ” hanxu hou ๐Ÿ“‚ Engineering
Showing 1626 results for "hanxu hou" in Engineering
Engineering Preprint PDF DOI

Design and Characteristics of a Thin-Film ThermoMesh for the Efficient Embedded Sensing of a Spatio-Temporally Sparse Heat Source

Sajjad Boorghan Farahan, Ahmed Alajlouni, Jingzhou Zhao ยท 2026

This work presents ThermoMesh, a passive thin-film thermoelectric mesh sensor designed to detect and characterize spatio-temporally sparse heat sources through conduction-based thermal imaging. The deโ€ฆ

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Engineering Preprint PDF DOI

Blind OFDM-ISAC Relying on Asymmetric Modem Constellations

Henglin Pu, Ahmad Musallam, Husheng Li, Lajos Hanzo ยท 2026

Integrated sensing and communication (ISAC) is increasingly expected to operate under aggressive spectrum reuse, where co-channel orthogonal frequency division multiplexing (OFDM) interference can be โ€ฆ

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Engineering Preprint PDF DOI

Guiding Vector Field Generation via Score-based Diffusion Model

Zirui Chen, Shiliang Guo, Shiyu Zhao ยท 2026

Guiding Vector Fields (GVFs) are a powerful tool for robotic path following. However, classical methods assume smooth, ordered curves and fail when paths are unordered, multi-branch, or generated by pโ€ฆ

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Engineering Preprint PDF DOI

Control of Multi-agent Systems under STL Specifications based on Prescribed Performance Observers

Tommaso Zaccherini, Siyuan Liu, Dimos V. Dimarogonas ยท 2026

This paper addresses decentralized control of large-scale heterogeneous multi-agent systems subject to bounded external disturbances and limited communication, with the objective of satisfying cooperaโ€ฆ

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Engineering Preprint PDF DOI

How VLAs (Really) Work In Open-World Environments

Amir Rasouli, Yangzheng Wu, Zhiyuan Li, Rui Heng Yang, Xuan Zhao, Charles Eret, Sajjad Pakdamansavoji ยท 2026

Vision-language-action models (VLAs) have been extensively used in robotics applications, achieving great success in various manipulation problems. More recently, VLAs have been used in long-horizon tโ€ฆ

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Engineering Preprint PDF DOI

Scaling of Gaussian Kolmogorov--Arnold Networks

Amir Noorizadegan, Sifan Wang ยท 2026

The Gaussian scale parameter \(\epsilon\) is central to the behavior of Gaussian Kolmogorov--Arnold Networks (KANs), yet its role in deep edge-based architectures has not been studied systematically. โ€ฆ

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Engineering Preprint PDF DOI

Sample entropy for graph signals: An approach to nonlinear analysis of graph signals

Mei-San Maggie Lei, John Stewart Fabila Carrasco, Javier Escudero ยท 2026

We introduce a graph-signal generalisation of Sample Entropy, denoted SampEn$_{G}$, to quantify irregularity of graph signals on a continuous state space, complementing existing methods on symbolic dyโ€ฆ

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Engineering Preprint PDF DOI

Physics-Aware Query-Conditioned Graph Attention Networks for Radio Map Estimation

Ang Li, Chengyu Liu, Yue Wang ยท 2026

Radio map estimation from sparse measurements is fundamental to wireless network planning, optimization, and localized map updating. Most recent learning-based approaches formulate the problem as densโ€ฆ

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Engineering Preprint PDF DOI

Neural Encoding Detection is Not All You Need for Synthetic Speech Detection

Luca Cuccovillo, Xin Wang, Milica Gerhardt, Patrick Aichroth ยท 2026

This paper reviews the current state and emerging trends in synthetic speech detection. It outlines the main data-driven approaches, discusses the advantages and drawbacks of focusing future research โ€ฆ

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Engineering Preprint PDF DOI

Dual-Radio BLE-LoRa Hierarchical Mesh for Infrastructure-Free Emergency Communication

Andrii Vakhnovskyi ยท 2026

We present a dual-radio hierarchical mesh architecture for infrastructure-free emergency communication that exploits the complementary strengths of Bluetooth Low Energy (BLE) and LoRa. Nodes equipped โ€ฆ

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Benchmarking Classical Coverage Path Planning Heuristics on Irregular Hexagonal Grids for Maritime Coverage Scenarios

Carlos S. Sepulveda, Gonzalo A. Ruz ยท 2026

Coverage path planning on irregular hexagonal grids is relevant to maritime surveillance, search and rescue and environmental monitoring, yet classical methods are often compared on small ad hoc exampโ€ฆ

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Engineering Preprint PDF DOI

Early-Warning Learner Satisfaction Forecasting in MOOCs via Temporal Event Transformers and LLM Text Embeddings

Anna Kowalczyk, Jakub Kowalski ยท 2026

Learner satisfaction is a critical quality signal in massive open online courses (MOOCs), directly influencing retention, engagement, and platform reputation. Most existing methods infer satisfaction โ€ฆ

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Symmetry Is Almost All You Need: Robust Stability with Uncertainty Induced by Symmetric SRG Regions

Ding Zhang, Di Zhao, Philipp Braun, Jianqi Chen ยท 2026

This paper investigates the robust stability problem of a feedback system in the presence of uncertainties induced by graphical regions in the plane where the scaled relative graphs (SRGs) reside. Ourโ€ฆ

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Ternary Logic Encodings of Temporal Behavior Trees with Application to Control Synthesis

Ryan Matheu, John S. Baras, Calin Belta ยท 2026

Behavior Trees (BTs) provide designers an intuitive graphical interface to construct long-horizon plans for autonomous systems. To ensure their correctness and safety, rigorous formal models and verifโ€ฆ

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Perception Is All You Need: A Neuroscience Framework for Low Cost Sensorless Gaze in HRI

Mason Kadem ยท 2026

Gaze-following in child-robot interaction improves attention, recall, and learning, but requires expensive platforms (\$30,000+), sensors, algorithms, and raises privacy concerns. We propose a framewoโ€ฆ

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$\phi-$DeepONet: A Discontinuity Capturing Neural Operator

Sumanta Roy, Stephen T. Castonguay, Pratanu Roy, Michael D. Shields ยท 2026

We present $\phi-$DeepONet, a physics-informed neural operator designed to learn mappings between function spaces that may contain discontinuities or exhibit non-smooth behavior. Classical neural operโ€ฆ

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Engineering Preprint PDF DOI

Grasp as You Dream: Imitating Functional Grasping from Generated Human Demonstrations

Chao Tang, Jiacheng Xu, Haofei Lu, Bolin Zou, Wenlong Dong, Hong Zhang, Danica Kragic ยท 2026

Building generalist robots capable of performing functional grasping in everyday, open-world environments remains a significant challenge due to the vast diversity of objects and tasks. Existing methoโ€ฆ

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Engineering Preprint PDF DOI

Pilot Allocation for Multi-Hop Over-the-Air Neural Inference under Imperfect CSI

Tolga Girici, Meng Hua, Deniz Gunduz ยท 2026

A multi-hop amplify-and-forward (AF) relay network can emulate a fully connected (FC) neural network layer via over-the-air (OTA) computation. However, achieving high emulation accuracy requires accurโ€ฆ

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Engineering Preprint PDF DOI

When Agent Markets Arrive

Xuan Liu, Haoyang Shang, Haojian Jin ยท 2026

AI agents are increasingly transacting on behalf of users -- delegating tasks, spending budgets, and negotiating with unfamiliar counterparties. From skill marketplaces to agent-only bazaars, the econโ€ฆ

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Engineering Preprint PDF DOI

Evaluation as Evolution: Transforming Adversarial Diffusion into Closed-Loop Curricula for Autonomous Vehicles

Yicheng Guo, Jiaqi Liu, Chengkai Xu, Peng Hang, Jian Sun ยท 2026

Autonomous vehicles in interactive traffic environments are often limited by the scarcity of safety-critical tail events in static datasets, which biases learned policies toward average-case behaviorsโ€ฆ

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