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๐Ÿ” august shi ๐Ÿ“‚ Engineering
Showing 1677 results for "august shi" in Engineering
Engineering Preprint PDF DOI

LaST-R1: Reinforcing Action via Adaptive Physical Latent Reasoning for VLA Models

Hao Chen, Jiaming Liu, Zhonghao Yan, Nuowei Han, Renrui Zhang, Chenyang Gu, Jialin Gao, Ziyu Guo, Siyuan Qian, Yinxi Wang, Peng Jia, Chi-Wing Fu, Shanghang Zhang, Pheng-Ann Heng ยท 2026

Vision-Language-Action (VLA) models have increasingly incorporated reasoning mechanisms for complex robotic manipulation. However, existing approaches share a critical limitation: whether employing exโ€ฆ

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Engineering Preprint PDF DOI

Spectral Dynamic Attention Network for Hyperspectral Image Super-Resolution

Tengya Zhang, Feng Gao, Lin Qi, Junyu Dong, Qian Du ยท 2026

Hyperspectral image super-resolution is essential for enhancing the spatial fidelity of HSI data, yet existing deep learning methods often struggle with substantial spectral redundancy and the limitedโ€ฆ

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Engineering Preprint PDF DOI

Representative Spectral Correlation Network for Multi-source Remote Sensing Image Classification

Chuanzheng Gong, Feng Gao, Junyan Lin, Junyu Dong, Qian Du ยท 2026

Hyperspectral image (HSI) and SAR/LiDAR data offer complementary spectral and structural information for land-cover classification. However, their effective fusion remains challenging due to two majorโ€ฆ

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Engineering Preprint PDF DOI

An Individual-Delay-Reflected Generalized Consensus Analysis for Multi-Agent Systems with Heterogeneous Time-Varying Delays

Hye Jin Lee, Ho Sub Lee, PooGyeon Park ยท 2026

In multi-agent systems, heterogeneous time delays exist for all agents because of the difference in communication environments. Therefore, the consensus analysis of a system considering a homogeneous โ€ฆ

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Engineering Preprint PDF DOI

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning

Kanghoon Lee, Matthew M. Sato, Jinnyeong Yang, Seungro Lee, Sujin Lee, Jiachen Li, Kuk-Jin Yoon, Jinkyoo Park, Kincho H. Law, Yoonjin Yoon ยท 2026

Monitoring human activity in indoor environments is important for applications such as facility management, safety assessment, and space utilization analysis. While mobile robot teams offer the potentโ€ฆ

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Engineering Preprint PDF DOI

Clinical Evaluation of a Tongue-Controlled Wrist Abduction-Adduction Assistance in a 6-DoF Upper-Limb Exoskeleton for Individuals with ALS and SCI

Juwairiya S. Khan, Mostafa Mohammadi, Alexander L. Ammitzb{o}ll, Ellen-Merete Hagen, Jakob Blicher Izabella Obal, Ana S. S. Cardoso, Oguzhan Kirtas, Rasmus L. K{ae}seler, John Rasmussen, Lotte N.S. Andreasen Struijk ยท 2026

Upper-limb exoskeletons (ULEs) have the potential to restore functional independence in individuals with severe motor impairments; however, the clinical relevance of wrist degrees of freedom (DoF), paโ€ฆ

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Engineering Preprint PDF DOI

ALAS: Adaptive Long-Horizon Action Synthesis via Async-pathway Stream Disentanglement

Yutong Shen, Hangxu Liu, Lei Zhang, Penghui Liu, Yinqi Liu, Liuxiang Yang, Tongtong Feng ยท 2026

Long-Horizon (LH) tasks in Human-Scene Interaction (HSI) are complex multi-step tasks that require continuous planning, sequential decision-making, and extended execution across domains to achieve theโ€ฆ

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Engineering Preprint PDF DOI

ExplainS2A: Explainable Spectral-Spatial Duality Model for Fast Transforming Sentinel-2 Image to AVIRIS-Level Hyperspectral Image

Chia-Hsiang Lin, Zi-Chao Leng ยท 2026

Mainstream optical satellites often acquire multispectral multi-resolution images, which have limited material identifiability compared to the HSIs. Thus, spectrally super-resolving the MSI into theirโ€ฆ

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Engineering Preprint PDF DOI

An Innovation-Based Approach to Detect Stealthy Disturbance Attacks in Maritime Monitoring

Gabriele Oliva, Bianca Mazza, Roberto Setola ยท 2026

Modern maritime navigation and control systems rely on digital sensing, estimation, and communication pipelines that fuse GNSS, radar, inertial, and AIS data through approaches such as Kalman-filter-bโ€ฆ

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Engineering Preprint PDF DOI

Online Reinforcement Learning for Safe Gain Scheduling in Nonlinear Quadrotor Control

Muhammad Junayed Hasan Zahed, Chieh Tsai, Salim Hariri, Hossein Rastgoftar ยท 2026

This paper presents an online reinforcement-learning framework for safe gain scheduling of a nonlinear quadcopter controller. Rather than learning thrust and torque commands directly, the proposed metโ€ฆ

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Engineering Preprint PDF DOI

Degradation-aware Predictive Energy Management for Fuel Cell-Battery Ship Power System with Data-driven Load Forecasting

Timon Kopka, Sara Tamburello, Luca Oneto, Lindert van Biert, Henk Polinder, Andrea Coraddu ยท 2026

Hydrogen-based zero-emission ships are a key element in the decarbonization of the maritime sector. To strengthen these their economic competitiveness, it is key to drive their costs to a minimum. Curโ€ฆ

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Engineering Preprint PDF DOI

An Intelligent Robotic and Bio-Digestor Framework for Smart Waste Management

Radhika Khatri, Adit Tewari, Nikhil Sharma, M. B. Srinivas ยท 2026

Rapid urbanization and continuous population growth have made municipal solid waste management increasingly challenging. These challenges highlight the need for smarter and automated waste management โ€ฆ

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Engineering Preprint PDF DOI

CooperDrive: Enhancing Driving Decisions Through Cooperative Perception

Deyuan Qu, Qi Chen, Takayuki Shimizu, Onur Altintas ยท 2026

Autonomous vehicles equipped with robust onboard perception, localization, and planning still face limitations in occlusion and non-line-of-sight (NLOS) scenarios, where delayed reactions can increaseโ€ฆ

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Engineering Preprint PDF DOI

An End-to-end Building Load Forecasting Framework with Patch-based Information Fusion Network and Error-weighted Adaptive Loss

Hang Fan, Ying Lu, Weican Liu, Dunnan Liu, Xiaotao Chen, Shengwei Mei ยท 2026

Accurate building load forecasting plays a critical role in facilitating demand response aggregation and optimizing energy management. However, the complex temporal dependencies and high volatility ofโ€ฆ

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Engineering Preprint PDF DOI

Responsive Distribution of G-normal Random Variables

Ziting Pei, Shige Peng, Xingye Yue, Xiaotao Zheng ยท 2026

A $G$-normal random variable $X\sim \mathcal{N}(0,[\underline{\sigma}^2,\overline{\sigma}^2])$ does not admit a unique probability law due to volatility uncertainty. For a given test function $\phi$, โ€ฆ

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Engineering Preprint PDF DOI

Bayesian Tendon Breakage Localization under Model Uncertainty Using Distributed Fiber Optic Sensors

Daniel Andres Arcones, Aeneas Paul, Martin Weiser, David Sanio, Peter Mark, Jorg F. Unger ยท 2026

This study develops a Bayesian, uncertainty-aware framework for tendon breakage localization in pre-stressed concrete members using high-resolution data from distributed fiber-optic sensors (DFOS). DFโ€ฆ

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Engineering Preprint PDF DOI

$\phi-$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

SentinelSphere: Integrating AI-Powered Real-Time Threat Detection with Cybersecurity Awareness Training

Nikolaos D. Tantaroudas, Ilias Karachalios, Andrew J. McCracken ยท 2026

The field of cybersecurity is confronted with two interrelated challenges: a worldwide deficit of qualified practitioners and ongoing human-factor weaknesses that account for the bulk of security inciโ€ฆ

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Engineering Preprint PDF DOI

Accelerating 4D Hyperspectral Imaging through Physics-Informed Neural Representation and Adaptive Sampling

Chi-Jui Ho, Harsh Bhakta, Wei Xiong, Nicholas Antipa ยท 2026

High-dimensional hyperspectral imaging (HSI) enables the visualization of ultrafast molecular dynamics and complex, heterogeneous spectra. However, applying this capability to resolve spatially varyinโ€ฆ

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Engineering Preprint PDF DOI

Simulation-Driven Evolutionary Motion Parameterization for Contact-Rich Granular Scooping with a Soft Conical Robotic Hand

Yongliang Wang, Cristian C. Beltran-Hernandez, Tomoya Takahashi, Masashi Hamaya ยท 2026

Tool-based scooping is vital in robot-assisted tasks, enabling interaction with objects of varying sizes, shapes, and material states. Recent studies have shown that flexible, reconfigurable soft roboโ€ฆ

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