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๐Ÿ” jann zosso ๐Ÿ“‚ Engineering
Showing 309 results for "jann zosso" 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

Physics-Informed Reinforcement Learning of Spatial Density Velocity Potentials for Map-Free Racing

Shathushan Sivashangaran, Apoorva Khairnar, Sepideh Gohari, Vihaan Dutta, Azim Eskandarian ยท 2026

Autonomous racing without prebuilt maps is a grand challenge for embedded robotics that requires kinodynamic planning from instantaneous sensor data at the acceleration and tire friction limits. Out-Oโ€ฆ

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Engineering Preprint PDF DOI

Thermal Anomaly Detection using Physics Aware Neuromorphic Networks: Comparison between Raw and L1C Sentinel-2 Data

Stephen Smith, Cormac Purcell, Gabriele Meoni, Roberto Del Prete, Zdenka Kuncic ยท 2026

Damage caused by bushfires and volcanic eruptions escalates rapidly when detection is delayed, making fast and reliable early warning capabilities essential. Recent Earth Observation (EO) approaches hโ€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

Vector Similarity Search-Based MCS Selection in Massive Multi-User MIMO-OFDM

Fuga Kobayashi, Takumi Takahashi, Shinsuke Ibi, Takanobu Doi, Kazushi Muraoka, Hideki Ochiai ยท 2026

This paper proposes a novel modulation and coding scheme (MCS) selection framework that integrates mutual information (MI) prediction based on vector similarity search (VSS) for massive multi-user mulโ€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

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

Encoder initialisation methods in the model augmentation setting

J.H. Hoekstra, B. Gyorok, R. Toth, M. Schoukens ยท 2026

Nonlinear system identification (NL-SI) has proven to be effective in obtaining accurate models for highly complex systems. Recent encoder-based methods for artificial neural network state-space (ANN-โ€ฆ

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Engineering Preprint PDF DOI

Multi-Agentic AI for Fairness-Aware and Accelerated Multi-modal Large Model Inference in Real-world Mobile Edge Networks

Haiyuan Li, Hari Madhukumar, Shuangyi Yan, Yulei Wu, Dimitra Simeonidou ยท 2026

Generative AI (GenAI) has transformed applications in natural language processing and content creation, yet centralized inference remains hindered by high latency, limited customizability, and privacyโ€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

Learning to accelerate Krasnosel'skii-Mann fixed-point iterations with guarantees

Andrea Martin, Giuseppe Belgioioso ยท 2026

We introduce a principled learning to optimize (L2O) framework for solving fixed-point problems involving general nonexpansive mappings. Our idea is to deliberately inject summable perturbations into โ€ฆ

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Engineering Preprint PDF DOI

Bridging simulation and reality in subsurface radar-based sensing: physics-guided hierarchical domain adaptation with deep adversarial learning

Zixin Wang, Ishfaq Aziz, Mohamad Alipour ยท 2025

Accurate estimation of subsurface material properties, such as soil moisture, is critical for wildfire risk assessment and precision agriculture. Ground-penetrating radar (GPR) is a non-destructive geโ€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

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

Effects of disease duration and antipsychotics on brain age in schizophrenia

Alejandro Roig-Herrero, Luis M. San-Jose-Revuelta, Rafael Navarro-Gonzalez, Rodrigo de Luis-Garcia, Vicente Molina ยท 2025

Accelerated brain aging has been consistently reported in patients with schizophrenia. Over the past decade, these findings have been replicated using the Brain Age paradigm, which applies machine leaโ€ฆ

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Engineering Preprint PDF DOI

Ein Fenster zur gleichzeitigen Messung der Uebertragungsfunktion eines realen Systems und des Leistungsdichtespektrums des ueberlagerten Rauschens am Systemausgang (Teil 2)

Helmut Repp ยท 2025

The method described in the first part for frequency-selectively measuring the transfer function and the noise power spectral density of the superimposed noise at the output of a disturbed, real systeโ€ฆ

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