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🔍 michael t greene 📂 Engineering
Showing 2473 results for "michael t greene" in Engineering
Engineering Preprint PDF DOI

Intelligent Self-tuning Active EMI Filtering for Electrified Automotive Power Systems Using Reinforcement Learning

Mahuizi Lu, Kelin Jia, Rajib Goswami, Yukun Hu · 2026

The rapid electrification and intelligence of modern transportation systems place stringent demands on the electromagnetic compatibility, reliability, and adaptability of automotive power electronics.…

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Engineering Preprint PDF DOI

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

Walid Shaker, Mustafa Suphi Erden · 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 commerci…

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Engineering Preprint PDF DOI

Sparse Graph Learning from Sparse Data via Fiedler Number Maximization

Bahar Oveisgharan, Gene Cheung, Andrew Eckford · 2026

We aim to learn a sparse and connected graph from sparse data, where the number of observations K can be substantially smaller than the signal dimension N for signals x in R^N, and the underlying dist…

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Engineering Preprint PDF DOI

Risk Assessments for Evasive Emergency Maneuvers in Autonomous Vehicles

Aliasghar Arab, Milad Khaleghi, Koorosh Aslansefat · 2026

This paper presents a systematic verification and validation (V\&V) framework for the Evasive Minimum Risk Maneuver (EMRM) feature in autonomous vehicles, addressing a critical gap in existing safety …

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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 · 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. Although…

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Engineering Preprint PDF DOI

Tube Diffusion Policy: Reactive Visual-Tactile Policy Learning for Contact-rich Manipulation

Teng Xue, Alberto Rigo, Bingjian Huang, Jiayi Shen, Zhengtong Xu, Nick Colonnese, Amirhossein H. Memar · 2026

Contact-rich manipulation is central to many everyday human activities, requiring continuous adaptation to contact uncertainty and external disturbances through multi-modal perception, particularly vi…

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Engineering Preprint PDF DOI

Private and Common Information States in Decentralized Parallel Dynamic Programming for Delayed Sharing Patterns

Charalambos D. Charalambous, Umarbek Guvercin, Seddik Djouadi · 2026

This paper develops a dynamic programming (DP) approach for decentralized stochastic optimal control problems with delayed sharing information patterns, which exhibits the fundamental Properties of cl…

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Engineering Preprint PDF DOI

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable

Yanze Xu, Wenwu Wang, Mark D. Plumbley · 2026

Neural networks can be trained to learn task-relevant representations from data. Understanding how these networks make decisions falls within the Explainable AI (XAI) domain. This paper proposes to st…

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Engineering Preprint PDF DOI

An Algebraic State Observer for a Class of Physical Systems

Alexey Bobtsov, Jose Guadalupe Romero, Romeo Ortega, Anton Pyrkin · 2026

In this paper we present a radically new approach to design state observers for nonlinear systems, with particular emphasis on physical ones. Our objective is to obtain an algebraic relation between t…

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Engineering Preprint PDF DOI

RecoverFormer: End-to-End Contact-Aware Recovery for Humanoid Robots

Zihui Liu · 2026

Humanoid robots operating in unstructured environments must recover from unexpected disturbances-a capability that remains challenging for end-to-end control policies. We present RECOVERFORMER, a full…

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Engineering Preprint PDF DOI

Event-Triggered Distributed Target Tracking via PRIMEX

Yuxuan Xia, Kuo-Chu Chang, Xueqi Qiu, Lin Gao, Chaoqun Yang, Ting Yuan · 2026

PRIMEX (prime-based graph encoding and extraction) is a recently proposed framework for scalable distributed fusion. In PRIMEX, the information pedigree of state estimates or probability density funct…

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Engineering Preprint PDF DOI

Online Long-Term Voltage Stability Margin Estimation for IBR/DER Dominated Power System with Integrated VSM-Aware TSO-DSO Framework

Ahmed Alkhonain, Kiran Kumar Challa, Amarsagar Reddy Ramapuram Matavalam, Alok Kumar Bharati, Venkataramana Ajjarapu · 2026

The rapid growth of inverter-based resources (IBRs) and distributed energy resources (DERs) has fundamentally altered the long-term voltage stability characteristics of modern power systems. This arti…

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Engineering Preprint PDF DOI

Accurate Frequency Response Modeling in Integrated T&D Co-Simulation via EWMA-RTTA-Based Quadratic Extrapolation

Jong Ha Woo, Qi Xiao, Yu Ma, Zishuo Yang, Victor Daldegan Paduani, Ning Lu · 2026

The large-scale integration of inverter-based resources (IBRs), particularly distributed photovoltaics (DPVs), into distribution networks increases the need for integrated transmission and distributio…

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Engineering Preprint PDF DOI

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling

Boyu Chen, Yi Chen, Lu Qiu, Jerry Bai, Yuying Ge, Yixiao Ge · 2026

Scaling humanoid foundation models is bottlenecked by the scarcity of robotic data. While massive egocentric human data offers a scalable alternative, bridging the cross-embodiment chasm remains a fun…

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Engineering Preprint PDF DOI

Joint Scheduling of Multi-Band Radar Sensing and DNN Inference for Cross-Stage Parallelism

Yanan Du, Sai Xu, Kezhi Wang, Yansha Deng · 2026

This paper studies end-to-end latency minimization for a multi-band radar sensing and deep neural network (DNN) inference pipeline. Unlike conventional stage-wise designs that treat radar sensing and …

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Engineering Preprint PDF DOI

EvoMarket: A High-Fidelity and Scalable Financial Market Simulator

Muyao Zhong, Zhenhua Yang, Yuxiang Liu, Ke Tang, Peng Yang · 2026

High-fidelity, scalable market simulation is a key instrument for mechanism evaluation, stress testing, and counterfactual policy analysis. Yet existing simulators rarely achieve \emph{mechanism fidel…

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Engineering Preprint PDF DOI

$\mu$-FlowNet: A Deep Learning Approach for Mapping Flow Fields in Irregular Microchannels Using an Attention-based U-Net Encoder-Decoder Architecture

Ganesh Sahadeo Meshram, Suman Chakraborty, Nishant Sinha, Partha Pratim Chakrabarti · 2026

In the complex domain of microfluidics systems, analysing fluid flow patterns through random-shaped circular microchannels is significantly challenging task. Conventional approach of solving such prob…

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Engineering Preprint PDF DOI

Time-Delay Compensators for Linear Systems with Delayed Output Measurements

H. Trinh, P. T. Nam, T. N. Nguyen · 2026

This paper provides a comprehensive framework for designing functional observers for linear systems subject to delayed output measurements. Moving beyond traditional methodologies, the proposed observ…

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Engineering Preprint PDF DOI

Greedy Kalman-Swarm: Improving State Estimation in Robot Swarms in Harsh Environments

Phunyapa Suksomboon, Paulo Garcia · 2026

State estimation is a fundamental requirement in robotics, where the accurate determination of a robot's state is essential for stable operation despite inherent process disturbances and sensor noise.…

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Engineering Preprint PDF DOI

Ternary Noise Modulation

Ata Bilgin, Erkin Yap{i}c{i}, Yusuf Islam Tek, Ertugrul Basar · 2026

By exploiting noise as an information-bearing resource, noise-driven communication offers a promising framework for low-complexity and secure wireless system design. In this letter, the scheme of tern…

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