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๐Ÿ” f. tang ๐Ÿ“‚ Engineering
Showing 992 results for "f. tang" in Engineering
Engineering Preprint PDF DOI

An Experimental Modular Instrument With a Haptic Feedback Framework for Robotic Surgery Training

Walid Shaker, Mustafa Suphi Erden ยท 2026

Robotic-assisted surgery offers significant clinical advantages but largely eliminates direct haptic feedback, increasing the risk of excessive tool-tissue interaction forces. Although recent commerciโ€ฆ

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Engineering Preprint PDF DOI

A 21-24 GHz Low-Phase-Noise mmWave VCO with Third-Harmonic Expansion using a Triple-Coupled Transformer based Tank

Narahari N. Moudhgalya ยท 2026

This work presents the design and analysis of a sixth-order triple-coupled transformer-based tank, enabling third-harmonic expansion for mmWave VCOs. Unlike conventional fourth-order tanks, the proposโ€ฆ

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Engineering Preprint PDF DOI

UNet-Based Fusion and Exponential Moving Average Adaptation for Noise-Robust Speaker Recognition

Chong-Xin Gan, Peter Bell, Man-Wai Mak, Zhe Li, Zezhong Jin, Zilong Huang, Kong Aik Lee ยท 2026

The joint training of speech enhancement and speaker embedding networks for speaker recognition is widely adopted under noisy acoustic environments. While effective, this paradigm often fails to leverโ€ฆ

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Engineering Preprint PDF DOI

Cross-Linguistic Rhythmic and Spectral Feature-Based Analysis of Nyishi and Adi: Two Under-Resourced Languages of Arunachal Pradesh

Deepshikha Gogoi, Parismita Gogoi, Yang Saring ยท 2026

Under-resourced languages remain underrepresented in quantitative rhythm research,particularly in systematic intra-branch analysis of acoustic differentiation within closely related linguistic groups.โ€ฆ

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Engineering Preprint PDF DOI

Wave Tank Experiment for Sea State Monitoring with Distributed Acoustic Sensing

Yoshiyuki Yajima, Sakiko Mishima, Noriyuki Tonami, Tomoyuki Hino, Shugo Aibe, Junichiro Saikawa, Koji Mizuguchi ยท 2026

Monitoring sea states across the offshore wind farm areas is essential to keep their structures safe, efficiently operate the systems, and assess the environmental effects of wind turbines. Conventionโ€ฆ

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Engineering Preprint PDF DOI

Monitoring exposure-length variations in submarine power cables using distributed fiber-optic sensing

Sakiko Mishima, Yoshiyuki Yajima, Noriyuki Tonami, Tomoyuki Hino, Shugo Aibe, Junichiro Saikawa, Koji Mizuguchi ยท 2026

This study proposes an anomaly-detection framework for monitoring exposure-length variations in submarine free-span cables using Distributed Acoustic Sensing (DAS), which is one of the distributed fibโ€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

Generalizable Friction Coefficient Estimation via Material Embedding and Proxy Interaction Modeling

Zhendong Wang, Huamin Wang ยท 2026

Accurately estimating friction coefficients between arbitrary material pairs is critical for robotics, digital fabrication, and physics-based simulation, but exhaustive pairwise testing scales quadratโ€ฆ

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Engineering Preprint PDF DOI

Real-Time Non-Contact Force Compensation for Wrist-Mounted Force/Torque Sensors in Haptic-Enabled Robotic Surgery Training

Walid Shaker, Mustafa Suphi Erden ยท 2026

Haptic feedback has been a long-missed feature in robotic-assisted surgery, one that would allow surgeons to perceive tissue properties and apply controlled forces during delicate procedures. Althoughโ€ฆ

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Engineering Preprint PDF DOI

Minimax Optimal Procedures for Joint Detection and Estimation

Dominik Reinhard, Michael Fau{ss}, Abdelhak M. Zoubir ยท 2026

We investigate the problem of jointly testing a pair of composite hypotheses and, depending on the test result, estimating a random parameter under distributional uncertainties. Specifically, it is asโ€ฆ

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Engineering Preprint PDF DOI

Foundation Models in Robotics: A Comprehensive Review of Methods, Models, Datasets, Challenges and Future Research Directions

Aggelos Psiris, Vasileios Argyriou, Evangelos K. Markakis, Panagiotis Sarigiannidis, Efstratios Gavves, Kostas Bekris, Arash Ajoudani adn Georgios Th. Papadopoulos ยท 2026

Over the recent years, the field of robotics has been undergoing a transformative paradigm shift from fixed, single-task, domain-specific solutions towards adaptive, multi-function, general-purpose agโ€ฆ

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Engineering Preprint PDF DOI

Closed-Form Characterization of Constrained Double-Integrator Optimal Control

Filippos N. Tzortzoglou, Logan E. Beaver, Andreas A. Malikopoulos ยท 2026

We consider the energy-optimal control problem for double-integrator systems subject to state and control constraints, with fixed terminal time and free terminal speed. When the constraints become actโ€ฆ

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Engineering Preprint PDF DOI

Robotic Manipulation is Vision-to-Geometry Mapping ($f(v) \rightarrow G$): Vision-Geometry Backbones over Language and Video Models

Zijian Song, Qichang Li, Jiawei Zhou, Zhenlong Yuan, Tianshui Chen, Liang Lin, Guangrun Wang ยท 2026

At its core, robotic manipulation is a problem of vision-to-geometry mapping ($f(v) \rightarrow G$). Physical actions are fundamentally defined by geometric properties like 3D positions and spatial reโ€ฆ

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Engineering Preprint PDF DOI

Frequency-aware Decomposition Learning for Sensorless Wrench Forecasting on a Vibration-rich Hydraulic Manipulator

Hyeonbeen Lee, Min-Jae Jung, Tae-Kyeong Yeu, Jong-Boo Han, Daegil Park, Jin-Gyun Kim ยท 2026

Force and torque (F/T) sensing is critical for robot-environment interaction, but physical F/T sensors impose constraints in size, cost, and fragility. To mitigate this, recent studies have estimated โ€ฆ

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Engineering Preprint PDF DOI

Adaptive Tuning of Online Feedback Optimization for Process Control Applications

Marta Zagorowska, Lukas Ortmann, Giuseppe Belgioioso, Lars Imsland ยท 2026

Online Feedback Optimization leverages properties of optimization algorithms to develop controllers for systems with limited model availability, which is often the case in process control. The interplโ€ฆ

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Engineering Preprint PDF DOI

An AI-Ready Pipeline for Impedance-Resolved QCM Biosensor: Interpretable Line-Shape Features, Redundancy Control, and Robust Regression

Ceyhun Kirimli, Elcim Elgun, Yagmur Tugtag ยท 2026

Accurate inference from quartz crystal microbalance (QCM) measurements in liquids is often limited by reducing resonance behavior to two scalar endpoints (frequency and dissipation shifts, $\Delta f$ โ€ฆ

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Engineering Preprint PDF DOI

Data-driven Learning of LPV Surrogate Models of Fuel Sloshing

E. Javier Olucha, Valentin Preda, Amritam Das, Roland Toth ยท 2026

This paper aims to enhance the efficiency of validation and verification campaigns involving fuel sloshing phenomena. Our first contribution is the development of an open-source, high-fidelity and comโ€ฆ

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Engineering Preprint PDF DOI

Divergence-Guided Particle Swarm Optimization

Kleyton da Costa, Bernardo Modenesi, Ivan F.M. Menezes, Helio Lopes ยท 2026

Particle Swarm Optimization (PSO) is susceptible to premature convergence when the swarm collapses around the global best, particularly on multimodal landscapes in higher dimensions. We propose Divergโ€ฆ

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Engineering Preprint PDF DOI

Using Unwrapped Full Color Space Recording to Measure the Exposedness of Vehicle Exterior Parts for External Human Machine Interfaces

Jose Gonzalez-Belmonte, Jaerock Kwon ยท 2026

One of the concerns with autonomous vehicles is their ability to communicate their intent to other road users, specially pedestrians, in order to prevent accidents. External Human-Machine Interfaces (โ€ฆ

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Engineering Preprint PDF DOI

Device-Conditioned Neural Architecture Search for Efficient Robotic Manipulation

Yiming Wu, Huan Wang, Zhenghao Chen, Ge Yuan, Dong Xu ยท 2026

The growing complexity of visuomotor policies poses significant challenges for deployment with heterogeneous robotic hardware constraints. However, most existing model-efficient approaches for roboticโ€ฆ

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