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Showing 41527 results for "machine learning" in Engineering
Engineering Preprint PDF DOI

Multi-Agent Digital Twins for Strategic Decision-Making using Active Inference

Francesco Maria Mancinelli, Matteo Torzoni, Domenico Maisto, Francesco Donnarumma, Alberto Corigliano, Giovanni Pezzulo, Andrea Manzoni · 2026

Active Inference is an emerging framework providing a quantitative account of behavioral processes in neuroscience and a principled approach to decision-making under uncertainty. Its application to ag…

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Engineering Preprint PDF DOI

Contextual Multi-Task Reinforcement Learning for Autonomous Reef Monitoring

Melvin Laux, Yi-Ling Liu, Rina Alo, Soren Topper, Mariela De Lucas Alvarez, Frank Kirchner, Rebecca Adam · 2026

Although autonomous underwater vehicles promise the capability of marine ecosystem monitoring, their deployment is fundamentally limited by the difficulty of controlling vehicles under highly uncertai…

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Engineering Preprint PDF DOI

Joint Activity Detection and Channel Estimation for Massive Random Access Using SBL and SCA

Esa Ollila, Majdoddin Esfandiari, Daniel P. Palomar · 2026

In massive machine-type communication (mMTC) applications, a key challenge is joint device activity detection and channel estimation (JADCE) under grant-free random access, as a massive number of devi…

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Engineering Preprint PDF DOI

Machine Learning-Based Real-Time Detection of Compensatory Trunk Movements Using Trunk-Wrist Inertial Measurement Units

Jannis Gabler, Clement Lhoste, Max Quast, Laura Mayrhuber, Andrea Ronco, Olivier Lambercy, Paulius Viskaitis, Dane Donegan · 2026

Compensatory trunk movements (CTMs) are commonly observed after stroke and can lead to maladaptive movement patterns, limiting targeted training of affected structures. Objective, continuous detection…

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Engineering Preprint PDF DOI

Feature-Level Robustness of Physics-Guided Micro-Doppler Descriptors for classification of Drones and Birds

Shaiq e Mustafa, Salman Liaquat, Imran Hafeez Abbasi, Azhar Hasan · 2026

Micro-Doppler signatures are a proven modality for discriminating between drones and birds, but their reliability degrades in low-SNR, data-constrained settings where deep learning models often fail. …

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Engineering Preprint PDF DOI

Goal-oriented safe active learning for predictive control using Bayesian recurrent neural networks

Laura Boca de Giuli, Alessio La Bella, Manish Prajapat, Johannes Kohler, Anna Scampicchio, Riccardo Scattolini, Melanie Zeilinger · 2026

A key challenge in learning-based model predictive control (MPC) is to collect informative data online for model adaptation while ensuring safety and without penalising control performance. In this pa…

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Engineering Preprint PDF DOI

Whole-Body Mobile Manipulation using Offline Reinforcement Learning on Sub-optimal Controllers

Snehal Jauhri, Vignesh Prasad, Georgia Chalvatzaki · 2026

Mobile Manipulation (MoMa) of articulated objects, such as opening doors, drawers, and cupboards, demands simultaneous, whole-body coordination between a robot's base and arms. Classical whole-body co…

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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 · 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 com…

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Engineering Preprint PDF DOI

Social Learning Strategies for Evolved Virtual Soft Robots

K. Ege de Bruin, Kyrre Glette, Kai Olav Ellefsen, Giorgia Nadizar, Eric Medvet · 2026

Optimizing the body and brain of a robot is a coupled challenge: the morphology determines what control strategies are effective, while the control parameters influence how well the morphology perform…

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Engineering Preprint PDF DOI

From Kinematics to Dynamics: Learning to Refine Hybrid Plans for Physically Feasible Execution

Lidor Erez, Shahaf S. Shperberg, Ayal Taitler · 2026

In many robotic tasks, agents must traverse a sequence of spatial regions to complete a mission. Such problems are inherently mixed discrete-continuous: a high-level action sequence and a physically f…

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Engineering Preprint PDF DOI

HazardArena: Evaluating Semantic Safety in Vision-Language-Action Models

Zixing Chen, Yifeng Gao, Li Wang, Yunhan Zhao, Yi Liu, Jiayu Li, Xiang Zheng, Zuxuan Wu, Cong Wang, Xingjun Ma, Yu-Gang Jiang · 2026

Vision-Language-Action (VLA) models inherit rich world knowledge from vision-language backbones and acquire executable skills via action demonstrations. However, existing evaluations largely focus on …

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Engineering Preprint PDF DOI

Contextual Biasing for ASR in Speech LLM with Common Word Cues and Bias Word Position Prediction

Sashi Novitasari, Takashi Fukuda, Kurata Gakuto, George Saon · 2026

Speech-aware LLMs (SLLMs) have recently achieved state-of-the-art ASR performance; however, they still fail to accurately transcribe bias words that appear rarely or never in the training data. Contex…

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Engineering Preprint PDF DOI

CBAM-Enhanced DenseNet121 for Multi-Class Chest X-Ray Classification with Grad-CAM Explainability

Utsho Kumar Dey · 2026

Pneumonia remains a leading cause of childhood mortality worldwide, with a heavy burden in low-resource settings such as Bangladesh where radiologist availability is limited. Most existing deep learni…

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Engineering Preprint PDF DOI

Defining an Evaluation Method for External Human-Machine Interfaces

Jose Gonzalez-Belmonte, Jaerock Kwon · 2026

As the number of fatalities involving Autonomous Vehicles increase, the need for a universal method of communicating between vehicles and other agents on the road has also increased. Over the past dec…

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Engineering Preprint PDF DOI

Why Your Tokenizer Fails in Information Fusion: A Timing-Aware Pre-Quantization Fusion for Video-Enhanced Audio Tokenization

Xiangyu Zhang, Benjamin John Southwell, Siqi Pan, Xinlei Niu, Beena Ahmed, Julien Epps · 2026

Audio tokenization has emerged as a critical component in end-to-end audio language models, enabling efficient discrete representation learning for both audio understanding and generation tasks. Howev…

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Engineering Preprint PDF DOI

AI-Empowered Resource Allocation for Wirelessly Powered Pinching-Antenna Systems

Saeid Pakravan, Mohsen Ahmadzadeh, Ming Zeng, Xingwang Li, Fang Fang · 2026

This paper considers a multi-user system, where the users first harvest energy from the base station and then use the harvested energy to transmit information via non-orthogonal multiple access (NOMA)…

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Engineering Preprint PDF DOI

StreamMark: A Deep Learning-Based Semi-Fragile Audio Watermarking for Proactive Deepfake Detection

Zhentao Liu, Milos Cernak · 2026

The rapid advancement of generative AI has made it increasingly challenging to distinguish between deepfake audio and authentic human speech. To overcome the limitations of passive detection methods, …

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Engineering Preprint PDF DOI

Disentangled Point Diffusion for Precise Object Placement

Lyuxing He, Eric Cai, Shobhit Aggarwal, Jianjun Wang, David Held · 2026

Recent advances in robotic manipulation have highlighted the effectiveness of learning from demonstration. However, while end-to-end policies excel in expressivity and flexibility, they struggle both …

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Engineering Preprint PDF DOI

Angle-based Localization and Rigidity Maintenance Control for Multi-Robot Networks

J. Francisco Presenza, Leonardo J. Colombo, Juan I. Giribet, Ignacio Mas · 2026

In this work, we study angle-based localization and rigidity maintenance control for multi-robot networks. First, we establish the relationship between angle rigidity and bearing rigidity considering …

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Engineering Preprint PDF DOI

Koopman Representations for Non-Vanishing Time Intervals: An Optimization Approach and Sampling Effects

Younghwan Cho, Richard Sowers · 2026

Koopman operator theory is a key tool in data assimilation of complex dynamical systems, with the potential to be applied to multimodal data. We formulate the problem of learning Koopman eigenfunction…

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