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๐Ÿ” anne boyer ๐Ÿ“‚ Engineering
Showing 287 results for "anne boyer" in Engineering
Engineering Preprint PDF DOI

Single-Cycle Multidirectional EOG Classification Faster than Human Reaction Time for Wearable Human-Computer Interactions

Tasnia Nabiha, Orthy Toor, Wakim Sajjad Sakib, Abdullah Bin Shams ยท 2026

Electrooculogram (EOG) is a non-invasive bio-signal generated by the potential difference between the retina and cornea during eye movement, and is widely utilized in Human-Computer Interaction (HCI) โ€ฆ

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Engineering Preprint PDF DOI

Distributed Snitch Digital Twin-Based Anomaly Detection for Smart Voltage Source Converter-Enabled Wind Power Systems

Mohammad Ashraf Hossain Sadi, Soham Ghosh, Siby Plathottam, Mohd. Hasan Ali ยท 2026

Existing cyberattack detection methods for smart grids such as Artificial Neural Networks (ANNs) and Deep Reinforcement Learning (DRL) often suffer from limited adaptability, delayed response, and inaโ€ฆ

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Engineering Preprint PDF DOI

On ANN-enhanced positive invariance for nonlinear flat systems

Huu-Thinh Do, Ionela Prodan ยท 2026

The concept of positively invariant (PI) sets has proven effective in the formal verification of stability and safety properties for autonomous systems. However, the characterization of such sets is cโ€ฆ

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Engineering Preprint PDF DOI

JanusBM: A Dual-Fidelity Multi-Zone White-Box Building Modeling Framework

Haozhen Cheng, Huseyin K. Cakmak, Veit Hagenmeyer ยท 2026

Accurate building energy models are crucial for analyzing sector-coupled energy systems, where buildings interact with electrified heating, energy storage, and advanced control across various scenarioโ€ฆ

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Engineering Preprint PDF DOI

GenMFSR: Generative Multi-Frame Image Restoration and Super-Resolution

Harshana Weligampola, Joshua Peter Ebenezer, Weidi Liu, Abhinau K. Venkataramanan, Sreenithy Chandran, Seok-Jun Lee, Hamid Rahim Sheikh ยท 2026

Camera pipelines receive raw Bayer-format frames that need to be denoised, demosaiced, and often super-resolved. Multiple frames are captured to utilize natural hand tremors and enhance resolution. Muโ€ฆ

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Engineering Preprint PDF DOI

Linearized Bregman Iterations for Sparse Spiking Neural Networks

Daniel Windhager, Bernhard A. Moser, Michael Lunglmayr ยท 2026

Spiking Neural Networks (SNNs) offer an energy efficient alternative to conventional Artificial Neural Networks (ANNs) but typically still require a large number of parameters. This work introduces Liโ€ฆ

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Engineering Preprint PDF DOI

Intelligent Control of Differential Drive Robots Subject to Unmodeled Dynamics with EKF-based State Estimation

Amos Alwala, Yuchen Hu, Gabriel da Silva Lima, Wallace Moreira Bessa ยท 2026

Reliable control and state estimation of differential drive robots (DDR) operating in dynamic and uncertain environments remains a challenge, particularly when system dynamics are partially unknown anโ€ฆ

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Engineering Preprint PDF DOI

A Learnable SIM Paradigm: Fundamentals, Training Techniques, and Applications

Hetong Wang, Yashuai Cao, Tiejun Lv ยท 2026

Stacked intelligent metasurfaces (SIMs) represent a breakthrough in wireless hardware by comprising multilayer, programmable metasurfaces capable of analog computing in the electromagnetic (EM) wave dโ€ฆ

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Engineering Preprint PDF DOI

Learning-based augmentation of first-principle models: A linear fractional representation-based approach

Jan H. Hoekstra, Bendeguz M. Gyorok, Roland Toth, Maarten Schoukens ยท 2026

Nonlinear system identificationhas proven to be effective in obtaining accurate models from data for complex real-world systems. In particular, recent encoder-based methods with artificial neural netwโ€ฆ

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Engineering Preprint PDF DOI

Empirical Validation of a Dual-Defense Mechanism Reshaping Wholesale Electricity Price Dynamics in Singapore

Huang Zhenyu, Yuan Zhao ยท 2026

While ex-ante screening and static price caps are global standards for mitigating price volatility, Singapore's electricity market employs a unique dual-defense mechanism integrating vesting contractsโ€ฆ

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Engineering Preprint PDF DOI

Spiking Neural Networks for Communication Systems: Encoding Schemes, Learning Algorithms, and Equalization~Techniques

Eike-Manuel Edelmann ยท 2026

Machine learning with artificial neural networks (ANNs), provides solutions for the growing complexity of modern communication systems. This complexity, however, increases power consumption, making thโ€ฆ

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Engineering Preprint PDF DOI

Event-based Heterogeneous Information Processing for Online Vision-based Obstacle Detection and Localization

Reza Ahmadvand, Sarah Safura Sharif, Yaser Mike Banad ยท 2026

This paper introduces a novel framework for robotic vision-based navigation that integrates Hybrid Neural Networks (HNNs) with Spiking Neural Network (SNN)-based filtering to enhance situational awareโ€ฆ

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Engineering Preprint PDF DOI

A Hybrid Model-based and Data-based Approach Developed for a Prosthetic Hand Wrist

Shifa Sulaiman, Francesco Schetter, Mehul Menon, Fanny Ficuciello ยท 2026

The incorporation of advanced control algorithms into prosthetic hands significantly enhances their ability to replicate the intricate motions of a human hand. This work introduces a model-based contrโ€ฆ

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Engineering Preprint PDF DOI

Expected Revenue, Risk, and Grid Impact of Bitcoin Mining: A Decision-Theoretic Perspective

Yuting Cai, Ruthav Sadali, Korok Ray, Chao Tian ยท 2025

Most current assessments use ex post proxies that miss uncertainty and fail to consistently capture the rapid change in bitcoin mining. We introduce a unified, ex ante statistical model that derives eโ€ฆ

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Engineering Preprint PDF DOI

Visual Heading Prediction for Autonomous Aerial Vehicles

Reza Ahmari, Ahmad Mohammadi, Vahid Hemmati, Mohammed Mynuddin, Parham Kebria, Mahmoud Nabil Mahmoud, Xiaohong Yuan, Abdollah Homaifar ยท 2025

The integration of Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs) is increasingly central to the development of intelligent autonomous systems for applications such as search and โ€ฆ

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Engineering Preprint PDF DOI

SINRL: Socially Integrated Navigation with Reinforcement Learning using Spiking Neural Networks

Florian Tretter, Daniel Flogel, Alexandru Vasilache, Max Grobbel, Jurgen Becker, Soren Hohmann ยท 2025

Integrating autonomous mobile robots into human environments requires human-like decision-making and energy-efficient, event-based computation. Despite progress, neuromorphic methods are rarely applieโ€ฆ

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Engineering Preprint PDF DOI

Soft Computing Tools To Predict Varied Weight Components, Material and Tribological Properties of Al2219-B4C-Gr

Maitreyi Chatterjee, Biplab Chatterjee ยท 2025

Soft computing tools emerged as most reliable alternatives of traditional regression and statistical methods. In recent times, these tools can predict the optimum material compositions, mechanical andโ€ฆ

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Engineering Preprint PDF DOI

Autonomous Reinforcement Learning Robot Control with Intel's Loihi 2 Neuromorphic Hardware

Kenneth Stewart, Roxana Leontie, Samantha Chapin, Joe Hays, Sumit Bam Shrestha, Carl Glen Henshaw ยท 2025

We present an end-to-end pipeline for deploying reinforcement learning (RL) trained Artificial Neural Networks (ANNs) on neuromorphic hardware by converting them into spiking Sigma-Delta Neural Networโ€ฆ

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Engineering Preprint PDF DOI

Population-Coded Spiking Neural Networks for High-Dimensional Robotic Control

Kanishkha Jaisankar, Xiaoyang Jiang, Feifan Liao, Jeethu Sreenivas Amuthan ยท 2025

Energy-efficient and high-performance motor control remains a critical challenge in robotics, particularly for high-dimensional continuous control tasks with limited onboard resources. While Deep Reinโ€ฆ

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Engineering Preprint PDF DOI

Low-cost Pyranometer-Based ANN Approach for MPPT in Solar PV Systems

Luiz Fernando M. Arruda, Moises Ferber, Diego Greff ยท 2025

This article presents a study on the application of artificial neural networks (ANNs) for maximum power point tracking (MPPT) in photovoltaic (PV) systems using low-cost pyranometer sensors. The propoโ€ฆ

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