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๐Ÿ” hakan zeffer ๐Ÿ“‚ Engineering
Showing 2948 results for "hakan zeffer" in Engineering
Engineering Preprint PDF DOI

Validating the Clinical Utility of CineECG 3D Reconstructions through Cross-Modal Feature Attribution

Karol Dobiczek, Maciej Mozolewski, Szymon Bobek, Micha{l} Szafarczyk, Peter van Dam, Grzegorz J. Nalepa ยท 2026

Deep learning models for 12-lead electrocardiogram (ECG) analysis achieve high diagnostic performance but lack the intuitive interpretability required for clinical integration. Standard feature attribโ€ฆ

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Engineering Preprint PDF DOI

HiPAN: Hierarchical Posture-Adaptive Navigation for Quadruped Robots in Unstructured 3D Environments

Jeil Jeong, Minsung Yoon, Seokryun Choi, Heechan Shin, Taegeun Yang, Sung-eui Yoon ยท 2026

Navigating quadruped robots in unstructured 3D environments poses significant challenges, requiring goal-directed motion, effective exploration to escape from local minima, and posture adaptation to tโ€ฆ

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Engineering Preprint PDF DOI

A Comparative study on THz Communication Systems: Photonics versus Electronics Approaches

Talha Rahman, Murat Uysal ยท 2026

Terahertz (THz) communication has emerged as a key enabler for sixth-generation (6G) networks, offering ultrawide bandwidths to support data-intensive applications such as holographic telepresence andโ€ฆ

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Engineering Preprint PDF DOI

SPG-Codec: Exploring the Role and Boundaries of Semantic Priors in Ultra-Low-Bitrate Neural Speech Coding

Mingyu Zhao, Zijian Lin, Kun Wei, Zhiyong Wu ยท 2026

Conventional neural speech codecs suffer from severe intelligibility degradation at ultra-low bitrates, where the bottleneck transitions from acoustic distortion to semantic loss. To address this issuโ€ฆ

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Engineering Preprint PDF DOI

FlowS: One-Step Motion Prediction via Local Transport Conditioning

Leandro Di Bella, Adrian Munteanu, Bruno Cornelis ยท 2026

Generative motion prediction must satisfy three simultaneous requirements for real-world autonomy: high accuracy, diverse multimodal futures, and strictly bounded latency. Diffusion models meet the fiโ€ฆ

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Engineering Preprint PDF DOI

Privileged Foresight Distillation: Zero-Cost Future Correction for World Action Models

Pengcheng Fang, Hongli Chen, Xiaohao Cai ยท 2026

World action models jointly predict future video and action during training, raising an open question about what role the future-prediction branch actually plays. A recent finding shows that this branโ€ฆ

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Engineering Preprint PDF DOI

Joint Design of Doppler-Resilient Unimodular Discrete-Phase Waveforms and Receiving Filters for MIMO Radars

Junpeng Ma, Yuke Li, Junbo Wang, Yongxing Zhou ยท 2026

Designing Doppler-resilient unimodular discrete phase-coded waveforms (DPWs) with low delay-Doppler sidelobes is critical for multiple-input multiple-output (MIMO) radar. Existing block coordinate desโ€ฆ

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Engineering Preprint PDF DOI

Reference-Augmented Learning for Precise Tracking Policy of Tendon-Driven Continuum Robots

Ziqing Zou, Ke Qiu, Haojian Lu, Rong Xiong, Yue Wang ยท 2026

Tendon-Driven Continuum Robots (TDCRs) pose significant control challenges due to their highly nonlinear, path-dependent dynamics and non-Markovian characteristics. Traditional Jacobian-based controllโ€ฆ

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Engineering Preprint PDF DOI

TEACar: An Open-Source Autonomous Driving Platform

Zhongzheng Zhang, Maxwell Ruyle, Andrew Kappes, Tyler Ruble, William Shaoul, Dana Moreno, Jack Penn, Ivan Ruchkin ยท 2026

Intelligent Transportation Systems (ITS) increasingly rely on vision-based perception and learning-based control, necessitating experimental platforms that support realistic hardware-in-the-loop validโ€ฆ

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Engineering Preprint PDF DOI

Beam Scheduling for Cross-Layer ISAC: A Deep Reinforcement Learning Approach

Xiyu Wang, Gilberto Berardinelli, Hei Victor Cheng, Petar Popovski, Ramoni Adeogun ยท 2026

Resource allocation in integrated sensing and communication (ISAC) systems needs to be optimized to balance the requirements of the communication and sensing modules considering complicated cross-layeโ€ฆ

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Engineering Preprint PDF DOI

AsyncShield: A Plug-and-Play Edge Adapter for Asynchronous Cloud-based VLA Navigation

Kai Yang, Zedong Chu, Yingnan Guo, Zhengbo Wang, Shichao Xie, Yanfen Shen, Xiaolong Wu, Xing Li, Mu Xu ยท 2026

While Vision-Language-Action (VLA) models have been demonstrated possessing strong zero-shot generalization for robot control, their massive parameter sizes typically necessitate cloud-based deploymenโ€ฆ

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Engineering Preprint PDF DOI

Event-based SLAM Benchmark for High-Speed Maneuvers

Sheng Zhong, Junkai Niu, Guillermo Gallego, Kaizhen Sun, Yang Yi, Zhiqiang Miao, Dewen Hu, Yaonan Wang, Davide Scaramuzza, Yi Zhou ยท 2026

Event-based cameras are bio-inspired sensors with pixels that independently and asynchronously respond to brightness changes at microsecond resolution, offering the potential to handle visual tasks inโ€ฆ

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Engineering Preprint PDF DOI

Extracting Exact Lie Derivatives Without Backpropagation: A Dual Compiler for Neural Control Barrier Functions

Mohammadreza Kamaldar ยท 2026

Deploying neural-network control barrier functions (CBFs) on embedded hardware requires evaluating the barrier value and its Lie derivatives along the system vector fields at every control cycle. The โ€ฆ

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Engineering Preprint PDF DOI

Unified Energy Function Tailored to Inverter-Based Resources with PI Controllers for Transient Stability Analysis

Yifan Zhang, Hsiao-Dong Chiang, Yitong Li, Yang Wu ยท 2026

The increasing penetration of inverter-based resources (IBRs) has fundamentally altered the transient stability characteristics of modern power systems. IBRs typically rely on proportional--integral (โ€ฆ

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Engineering Preprint PDF DOI

EgoLive: A Large-Scale Egocentric Dataset from Real-World Human Tasks

Yihang Li, Xuelong Wei, Jingzhou Luo, Yingjing Xiao, Yibo Bai, Guangyuan Zhou, Teng Zou, Chenguang Gui, Jiajun Wen, He Zhang, Kangliang Chen, Xing Pan, Shuaiyan Liu, Daming Wang, Tao An, Jiayi Li, Shibo Jin, Wanwan Zhang, Tianyu Wang, Boren Wei, Zhixuan Huang, Fangsheng Liu, Ruodai Li, Hui Zhang, Anson Li, Yicheng Gong, Peng Cao, Jiaming Liang, Liang Lin ยท 2026

The advancement of robot learning is currently hindered by the scarcity of large-scale, high-quality datasets. While established data collection methods such as teleoperation and universal manipulatioโ€ฆ

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Engineering Preprint PDF DOI

Large Language Model based Interactive Decision-Making for Autonomous Driving

Xinwei Dong, Jiyang Li, Jiabin Xie, Yang Yi, Tianshang Jia, Shiyu Fang, Ye Tian, Peng Hang ยท 2026

In high-conflict mixed-traffic scenarios involving human-driven and autonomous vehicles, most existing autonomous driving systems default to overly conservative behaviors, lack proactive interaction, โ€ฆ

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Engineering Preprint PDF DOI

An Interactive Graphical Tool to Check the Coarray Continuity of Two-Fold Redundant Sparse Arrays (TFRSAs) Under Single Sensor Failures

Namya Malik, Ashish Patwari, Sangeetha N ยท 2026

Two-fold redundant sparse arrays possess inbuilt redundancy to tackle single-element failures. This property enables them to perform accurate direction of arrival (DOA) estimation even during single sโ€ฆ

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Engineering Preprint PDF DOI

A General EM-Based Channel Model for Reconfigurable Antenna Systems

Chen Xu, Xianghao Yu ยท 2026

Reconfigurable antenna systems (RASs), such as fluid antennas and movable antennas, are poised to play a pivotal role in sixth-generation (6G) systems by dynamically adapting the antenna elements for โ€ฆ

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Engineering Preprint PDF DOI

VistaBot: View-Robust Robot Manipulation via Spatiotemporal-Aware View Synthesis

Songen Gu, Yuhang Zheng, Weize Li, Yupeng Zheng, Yating Feng, Xiang Li, Yilun Chen, Pengfei Li, Wenchao Ding ยท 2026

Recently, end-to-end robotic manipulation models have gained significant attention for their generalizability and scalability. However, they often suffer from limited robustness to camera viewpoint chโ€ฆ

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Engineering Preprint PDF DOI

DiffNR: Diffusion-Enhanced Neural Representation Optimization for Sparse-View 3D Tomographic Reconstruction

Shiyan Su, Ruyi Zha, Danli Shi, Hongdong Li, Xuelian Cheng ยท 2026

Neural representations (NRs), such as neural fields and 3D Gaussians, effectively model volumetric data in computed tomography (CT) but suffer from severe artifacts under sparse-view settings. To addrโ€ฆ

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