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๐Ÿ” mao ye ๐Ÿ“‚ Engineering
Showing 1531 results for "mao ye" in Engineering
Engineering Preprint PDF DOI

Deep Learning-Enabled Dissolved Oxygen Sensing in Biofouling Environments for Ocean Monitoring

Nikolaos Salaris, Adrien Desjardins, Manish K. Tiwari ยท 2026

The escalating climate crisis and ecosystem degradation demand intelligent, low-cost sensors capable of robust, long-term monitoring in real-world environments. Absolute dissolved oxygen (DO) concentrโ€ฆ

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Engineering Preprint PDF DOI

PILOT: One Physics-Integrated Generation Framework to Unify 2D and 3D Radio Map Construction

Weiming Huang, Hao Sun, Junting Chen ยท 2026

Unified 2D and 3D radio map construction supports network planning, wireless digital twins, and unmanned aerial vehicle (UAV) applications. In urban environments, blockage, reflection, and diffractionโ€ฆ

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Engineering Preprint PDF DOI

Triple-Phase Sequential Fusion Network for Hepatobiliary Phase Liver MRI Synthesis

Qiuli Wang, Xinhuan Sun, Fengxi Chen, Yongxu Liu, Jie Cheng, Lin Chen, Jiafei Chen, Yue Zhang, Xiaoming Li, Wei Chen ยท 2026

Gadoxetate disodium-enhanced MRI is essential for the detection and characterization of hepatocellular carcinoma. However, acquisition of the hepatobiliary phase (HBP) requires a prolonged post-contraโ€ฆ

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Engineering Preprint PDF DOI

Personalized electric vehicle energy consumption estimation framework that integrates driver behavior with map data

Sreechakra Vasudeva Raju Rachavelpula, Sangwhan Cha ยท 2026

This paper presents a personalized Battery Electric Vehicle (BEV) energy consumption estimation framework that integrates map-based contextual features with driver-specific velocity prediction and phyโ€ฆ

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Engineering Preprint PDF DOI

CKM Beyond Channel Gain: Spatial Correlation Map Construction with Deep Learning

Z. Chen, S. Fu, Y. Zeng, X. Xu, Z. Wei ยท 2026

Channel knowledge map (CKM) is a promising technique to achieve environment-aware wireless communication and sensing. Constructing the complete CKM based on channel knowledge observations at sparse loโ€ฆ

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Engineering Preprint PDF DOI

Strain in Sound: Soft Corrugated Tube for Local Strain Sensing with Acoustic Resonance

Michael Chun, Ananya Nukala, Tae Myung Huh ยท 2026

We present a soft corrugated tube sensor designed to estimate strain in each half segment. When air flows through the tube, the internal corrugated cavities induce pressure oscillations that excite thโ€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

FARM: Foundational Aerial Radio Map for Intelligent Low-Altitude Networking

Shijian Gao, Jiahui Liang, Yifeng Yuan, Wenlihan Lu, Guobin Shen, Liuqing Yang ยท 2026

Precise aerial radio environment characterization is vital for low-altitude planning. However, existing datasets and estimation methods lack the high-resolution granularity required for complex aerialโ€ฆ

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Engineering Preprint PDF DOI

Convergence Time Distributions for Max-Consensus over Unreliable Networks

Katharina Stich, Bastian Perner, Friedemann Laue, Torsten Reissland, Norman Franchi ยท 2026

This paper proposes the LiFE-CD algorithm for convergence time analysis of the max-consensus algorithm in multi-agent systems under Bernoulli-distributed link failures. Unlike existing approaches, whiโ€ฆ

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Engineering Preprint PDF DOI

A Novel 6G Dynamic Channel Map Based on a Hybrid Channel Model

Tianrun Qi, Cheng-Xiang Wang, Chen Huang, Jiayue Shi, Junling Li, Shuaifei Chen, El-Hadi M. Aggoune ยท 2026

In the sixth generation (6G) wireless communication networks, the device density, antenna number, and the complexity of communication scenarios will significantly increase, which brings great challengโ€ฆ

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Engineering Preprint PDF DOI

Energy-based Regularization for Learning Residual Dynamics in Neural MPC for Omnidirectional Aerial Robots

Johannes Kubel, Henrik Krauss, Jinjie Li, Moju Zhao ยท 2026

Data-driven Model Predictive Control (MPC) has lately been the core research subject in the field of control theory. The combination of an optimal control framework with deep learning paradigms opens โ€ฆ

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Engineering Preprint PDF DOI

ProtoAoA: Few-Shot Angle-of-Arrival Estimation using Prototypical Networks

Elsayed Mohammed, Omar Mashaal, Alec Digby, Pasquale Leone, Lorne Swersky, Ashkan Eshaghbeigi, Hatem Abou-Zeid ยท 2026

Angle-of-arrival (AoA) estimation is a crucial function in wireless communications used for localization, beam-forming, interference management, and other applications. Deep learning (DL) solutions haโ€ฆ

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Engineering Preprint PDF DOI

Scale-Invariant Sampling in Multi-Arm Bandit Motion Planning for Object Extraction

Servet B. Bayraktar, Andreas Orthey, Marc Toussaint ยท 2026

Object extraction tasks often occur in disassembly problems, where bolts, screws, or pins have to be removed from tight, narrow spaces. In such problems, the distance to the environment is often on thโ€ฆ

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Sky-Ear: An Unmanned Aerial Vehicle-Enabled Victim Sound Detection and Localization System

Yi Hong, Mingyang Wang, Yalin Liu, Yaru Fu, Kevin Hung ยท 2026

Unmanned Aerial Vehicles (UAVs) are increasingly deployed in search-and-rescue (SAR) missions, yet continuous and reliable victim detection and localization remain challenging due to on-board hardwareโ€ฆ

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Scalable Optimization for Mobility-Aware Coordinated Electric Vehicle Charging in Distribution Power Networks

Yi Ju, Lunlong Li, Jingchun Wang, Scott Moura ยท 2026

Rapid growth in electric-vehicle (EV) charging demand is placing increasing stress on distribution power networks (DPNs), whose hosting capacity is often limited and spatially uneven. Beyond demonstraโ€ฆ

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Engineering Preprint PDF DOI

Invertible Diffusion for Low-Memory Channel Gain Map Construction in Wireless Communication Networks

Ruifeng Gao, Sen Li, Jue Wang, Qiuming Zhu, Shu Sun ยท 2026

Channel gain maps (CGMs) enable propagation-aware services in edge-intelligent wireless communication networks, while diffusion-based CGM construction is memory intensive for on-device training or adaโ€ฆ

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{\Psi}-Map: Panoptic Surface Integrated Mapping Enables Real2Sim Transfer

Xuan Yu, Yuxuan Xie, Changjian Jiang, Shichao Zhai, Rong Xiong, Yu Zhang, Yue Wang ยท 2026

Open-vocabulary panoptic reconstruction is essential for advanced robotics perception and simulation. However, existing methods based on 3D Gaussian Splatting (3DGS) often struggle to simultaneously aโ€ฆ

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Semi-Supervised Goal-Oriented Semantic Communication Framework for Foreground Classification

Zhitong Ni, Yansha Deng, Jinhong Yuan ยท 2026

Wireless goal-oriented semantic communication (GSC) has emerged as a promising paradigm by directly optimizing task performance. However, existing GSC frameworks typically operate on entire images andโ€ฆ

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Physics-Informed Reinforcement Learning of Spatial Density Velocity Potentials for Map-Free Racing

Shathushan Sivashangaran, Apoorva Khairnar, Sepideh Gohari, Vihaan Dutta, Azim Eskandarian ยท 2026

Autonomous racing without prebuilt maps is a grand challenge for embedded robotics that requires kinodynamic planning from instantaneous sensor data at the acceleration and tire friction limits. Out-Oโ€ฆ

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AMO-ENE: Attention-based Multi-Omics Fusion Model for Outcome Prediction in Extra Nodal Extension and HPV-associated Oropharyngeal Cancer

Gautier Henique, William Le, Gabriel Dayan, Coralie Brodeur, Kristoff Nelson, Apostolos Christopoulos, Edith Filion, Phuc-Felix Nguyen-Tan, Laurent Letourneau-Guillon, Houda Bahig, Samuel Kadoury ยท 2026

Extranodal extension (ENE) is an emerging prognostic factor in human papillomavirus (HPV)-associated oropharyngeal cancer (OPC), although it is currently omitted as a clinical staging criteria. Recentโ€ฆ

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