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๐Ÿ” izzeddin gur ๐Ÿ“‚ Engineering
Showing 448 results for "izzeddin gur" in Engineering
Engineering Preprint PDF DOI

Learning-Based Dynamics Modeling and Robust Control for Tendon-Driven Continuum Robots

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

Tendon-Driven Continuum Robots (TDCRs) pose significant modeling and control challenges due to complex nonlinearities, such as frictional hysteresis and transmission compliance. This paper proposes a โ€ฆ

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Engineering Preprint PDF DOI

Data Driven Calibration of Analytical Concrete Creep Models Considering Preloading Effects Using Gaussian Processes

Leonie Heller, Christopher Taube, Gledson Rodrigo Tondo, Guido Morgenthal ยท 2026

The time-dependent deformation of concrete, particularly creep, remains a key challenge for reliable and material-efficient design. Experimental results show that tailored preloading, short-term loadsโ€ฆ

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Engineering Preprint PDF DOI

Weak-Fluctuation-Induced Clutter Covariance and Subspace Structure in Single-Snapshot FDA-MIMO GPR

Yisu Yan, Jifeng Guo ยท 2026

Weak constitutive fluctuations in dispersive subsurface media can induce distributed clutter that reshapes the observation structure of ground-penetrating radar (GPR). This paper analyzes this effect โ€ฆ

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Engineering Preprint PDF DOI

Medium-Induced Cross-Frequency Clutter Structure in Single-Snapshot FDA-MIMO-GPR With a Weak-Dispersion Criterion

Yisu Yan, Jifeng Guo ยท 2026

This paper investigates the cross-frequency structure of background clutter induced by random dispersive media in single-snapshot FDA-MIMO-GPR. Representative media are modeled by the Cole--Cole formuโ€ฆ

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Engineering Preprint PDF DOI

Dynamic Heartbeat Modeling with Recurrent Neural Networks and Inverse Gaussian Point Process

Runwei Lin, Ying Wang ยท 2026

Heart rate variability (HRV) analysis is important for the assessment of autonomic cardiovascular regulation. The inverse Gaussian process (IGP) has been widely used for beat-to-beat HRV modeling, as โ€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

mosaiks are made of tesserae: GUI design for a co-simulation framework

Eike Schulte, Jan Soren Schwarz, Malte Stomberg, Sharaf Alsharif, Danila Valko, Jirapa Kamsamsong ยท 2026

In a mosaic, a tessera is a single stone. We introduce tesserae for the co-simulation framework mosaik, where they are sets of entities. They allow for a visual, intuitive, and yet systematic descriptโ€ฆ

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Engineering Preprint PDF DOI

IOGRUCloud: A Scalable AI-Driven IoT Platform for Climate Control in Controlled Environment Agriculture

Andrii Vakhnovskyi ยท 2026

Controlled Environment Agriculture (CEA) demands precise, adaptive climate management across distributed infrastructure. This paper presents IOGRUCloud, a scalable three-tier IoT platform that integraโ€ฆ

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Engineering Preprint PDF DOI

MC-GenRef: Annotation-free mammography microcalcification segmentation with generative posterior refinement

Hyunwoo Cho, Yeeun Kwon, Min Jung Kim, Yangmo Yoo ยท 2026

Microcalcification (MC) analysis is clinically important in screening mammography because clustered puncta can be an early sign of malignancy, yet dense MC segmentation remains challenging: targets arโ€ฆ

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Engineering Preprint PDF DOI

RHINO-MAG: Recursive H-Field Inference based on Observed Magnetic Flux under Dynamic Excitation

Hendrik Vater, Oliver Schweins, Lukas Holsch, Wilhelm Kirchgassner, Till Piepenbrock, Oliver Wallscheid ยท 2026

Driven by the MagNet Challenge 2025 (MC2), increased research interest is directed towards modeling transient magnetic fields within ferrite material. An accurate time-resolved and temperature-aware Hโ€ฆ

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Engineering Preprint PDF DOI

CReF: Cross-modal and Recurrent Fusion for Depth-conditioned Humanoid Locomotion

Yuan Hao, Ruiqi Yu, Shixin Luo, Guoteng Zhang, Jun Wu, Qiuguo Zhu ยท 2026

Stable traversal over geometrically complex terrain increasingly requires exteroceptive perception, yet prior perceptive humanoid locomotion methods often remain tied to explicit geometric abstractionโ€ฆ

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Engineering Preprint PDF DOI

Joint Time-Phase Synchronization for Distributed Sensing Networks via Feature-Level Hyper-Plane Regression

Kailun Tian, Kaili Jiang, Dechang Wang, Yuxin Zhao, Yuxin Shang, Hancong Feng, Bin Tang ยท 2026

Achieving coherent integration in distributed Internet of Things (IoT) sensing networks requires precise synchronization to jointly compensate clock offsets and radio-frequency (RF) phase errors. Convโ€ฆ

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Engineering Preprint PDF DOI

Linking Dispersive-Medium Uncertainty to Clutter Analysis in Single-Snapshot FDA-MIMO-GPR

Yisu Yan, Jifeng Guo ยท 2026

This paper addresses the modeling gap between complex dispersive-medium characterization and clutter statistical analysis in single-snapshot frequency diverse array multiple-input multiple-output grouโ€ฆ

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Engineering Preprint PDF DOI

PRIOR: Perceptive Learning for Humanoid Locomotion with Reference Gait Priors

Chenxi Han, Shilu He, Yi Cheng, Linqi Ye, Houde Liu ยท 2026

Training perceptive humanoid locomotion policies that traverse complex terrains with natural gaits remains an open challenge, typically demanding multi-stage training pipelines, adversarial objectivesโ€ฆ

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Engineering Preprint PDF DOI

Master Micro Residual Correction with Adaptive Tactile Fusion and Force-Mixed Control for Contact-Rich Manipulation

Xingting Li, Yifan Xie, Han Liu, Wei Hou, Guangyu Chen, Shoujie Li, Wenbo Ding ยท 2026

Robotic contact-rich and fine-grained manipulation remains a significant challenge due to complex interaction dynamics and the competing requirements of multi-timescale control. While current visual iโ€ฆ

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Engineering Preprint PDF DOI

See, Learn, Assist: Safe and Self-Paced Robotic Rehabilitation via Video-Based Learning from Demonstration

Ali Alabbas, Camillo Murgia, Joanne Regan, Philip Long ยท 2026

In this paper, we propose a novel framework that allows therapists to teach robot-assisted rehabilitation exercises remotely via RGB-D video. Our system encodes demonstrations as 6-DoF body-centric trโ€ฆ

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Engineering Preprint PDF DOI

UAV-Based 3D Spectrum Sensing: Insights on Altitude, Bandwidth, Trajectory, and Effective Antenna Patterns on REM Reconstruction

Mushfiqur Rahman, Sung Joon Maeng, Ismail Guvenc, Chau-Wai Wong, Mihail Sichitiu, Jason A. Abrahamson, Arupjyoti Bhuyan ยท 2026

Spectrum sensing and the generation of 3D Radio Environment Maps (REMs) are essential for enabling spectrum sharing within cognitive radio networks. While Uncrewed Aerial Vehicles (UAVs) offer high-moโ€ฆ

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Engineering Preprint PDF DOI

Kinodynamic Motion Retargeting for Humanoid Locomotion via Multi-Contact Whole-Body Trajectory Optimization

Xiaoyu Zhang, Steven Haener, Varun Madabushi, Maegan Tucker ยท 2026

We present the KinoDynamic Motion Retargeting (KDMR) framework, a novel approach for humanoid locomotion that models the retargeting process as a multi-contact, whole-body trajectory optimization probโ€ฆ

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Engineering Preprint PDF DOI

cuRoboV2: Dynamics-Aware Motion Generation with Depth-Fused Distance Fields for High-DoF Robots

Balakumar Sundaralingam, Adithyavairavan Murali, Stan Birchfield ยท 2026

Effective robot autonomy requires motion generation that is safe, feasible, and reactive. Current methods are fragmented: fast planners output physically unexecutable trajectories, reactive controllerโ€ฆ

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Engineering Preprint PDF DOI

SPARC: Spatial-Aware Path Planning via Attentive Robot Communication

Sayang Mu, Xiangyu Wu, Bo An ยท 2026

Efficient communication is critical for decentralized Multi-Robot Path Planning (MRPP), yet existing learned communication methods treat all neighboring robots equally regardless of their spatial proxโ€ฆ

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