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๐Ÿ” jiaming mao ๐Ÿ“‚ Engineering
Showing 3722 results for "jiaming mao" in Engineering
Engineering Preprint PDF DOI

LiDAR-based Dynamic Blockage Prediction: A Data-driven Approach for Learning Interactive Bayesian Models

Saleemullah Memon, Ali Krayani, Pamela Zontone, Lucio Marcenaro, David Martin Gomez, Carlo Regazzoni ยท 2026

Vehicular sensing-based intelligence has made substantial progress in transportation systems, leading to higher levels of safety and sustainability for smart cities and autonomous systems. This paper โ€ฆ

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Engineering Preprint PDF DOI

Optimizing Dynamic Metasurface Antenna Configurations for Direction-of-Arrival and Polarization Estimation Using an Experimentally Calibrated Multiport-Network Model

Jean Tapie, Philipp del Hougne ยท 2026

Sensing the direction of arrival and polarization of impinging signals is a key prerequisite for beamforming and interference mitigation in modern wireless communication systems. Dynamic metasurface aโ€ฆ

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Engineering Preprint PDF DOI

Robot Planning and Situation Handling with Active Perception

Austine Oloo, Zainab Altaweel, Yohei Hayamizu, Peiqi Liu, Yan Ding, Saeid Amiri, Hao Yang, Andy Kaminski, Chad Esselink, Chris Paxton, Xiaohan Zhang, Shiqi Zhang ยท 2026

Current robots are capable of computing plans to accomplish complex tasks. However, real-world environments are inherently open and dynamic, and unforeseen situations frequently arise during plan execโ€ฆ

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Engineering Preprint PDF DOI

Polarization-diverse Detection at Microwave Frequencies Using A Passive Metasurface Aperture

Md. Abrar A Mushfik, Mohammad Ali Kaisar, Mohiminul Islam Bhuiyan Sahed, Idban Alamzadeh ยท 2026

Metasurfaces' ability to control electromagnetic wave propagation has led to a rapid paradigm shift in wireless operation. These metasurfaces are often called reconfigurable intelligent surfaces (RISsโ€ฆ

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Engineering Preprint PDF DOI

A Miniaturized Broadband 1-Bit Coding Reconfigurable Intelligent Surface for NLOS UE Localization and Uplink Communication

Khagendra Joshi, Deepak Kumar Sahoo, Kamalesh Kumar K, Debidas Kundu, Vivek A. Bohara, Amalendu Patnaik ยท 2026

In this paper, a broadband 1-bit coding metasurface-based reconfigurable intelligent surface (RIS) is presented. The unit cell of the metasurface consists of a wide dipole modified with interdigital cโ€ฆ

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Engineering Preprint PDF DOI

Behaviour-aware Hybrid Architecture for Trust-driven Transmissions

Dhrumil Bhatt, Anakha Kurup ยท 2026

Reliable and secure communication is essential for mission-critical aerospace and defence operations involving autonomous platforms such as Unmanned Aerial Vehicles (UAVs), satellites, and ground contโ€ฆ

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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

Coordinated Multipoint Anti-jamming Beam Pattern Synthesis: From AI Accelerated Algorithm to Hardware Implementation

Zilong Wang, Cheng Zhang, Zhilei Zhang, Yaxuan Hu, Wen Wang, Yongming Huang ยท 2026

This paper presents a deep unfolding-supported coordinated multipoint beam pattern synthesis (DUCoMP-BPS) scheme to overcome the high complexity, poor adaptability, and limited scalability of traditioโ€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

RedVLA: Physical Red Teaming for Vision-Language-Action Models

Yuhao Zhang, Borong Zhang, Jiaming Fan, Jiachen Shen, Yishuai Cai, Yaodong Yang, Jiaming Ji ยท 2026

The real-world deployment of Vision-Language-Action (VLA) models remains limited by the risk of unpredictable and irreversible physical harm. However, we currently lack effective mechanisms to proactiโ€ฆ

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Engineering Preprint PDF DOI

QDTraj: Exploration of Diverse Trajectory Primitives for Articulated Objects Robotic Manipulation

Mathilde Kappel, Mahdi Khoramshahi, Louis Annabi, Faiz Ben Amar, Stephane Doncieux ยท 2026

Thanks to the latest advances in learning and robotics, domestic robots are beginning to enter homes, aiming to execute household chores autonomously. However, robots still struggle to perform autonomโ€ฆ

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Engineering Preprint PDF DOI

Threat Detection and Resilience Techniques in PRS-Assisted OTDOA 5G Positioning Systems

Thodoris Spanos, Nikolaos Papageorgiou, Samuele Fantinato, Nikos Kanistras, Sergi Duenas Pedrosa, Gianluca Caparra, Vassilis Paliouras ยท 2026

Precise positioning is a key enabler for emerging 5G applications, from autonomous transport to industrial automation. Yet the open physical layer (PL) leaves standard positioning reference signals (Pโ€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

Multi-Objective RIS Deployment Optimization for Physical Layer Security in ISAC Networks

Wenqing Dai, Jan Herbst, Jan Petershans, Christoph Lipps, Hans D. Schotten ยท 2026

Reconfigurable Intelligent Surfaces (RIS) have emerged as a key enabler for programmable wireless environments in future Beyond-5G (B5G) and 6G networks. In the meantime, Integrated Sensing and Communโ€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

Multi-Cycle Spatio-Temporal Adaptation in Human-Robot Teaming

Alex Cuellar, Michael Hagenow, Julie Shah ยท 2026

Effective human-robot teaming is crucial for the practical deployment of robots in human workspaces. However, optimizing joint human-robot plans remains a challenge due to the difficulty of modeling iโ€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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