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Showing 1361 results for "animals" in Engineering · Preprint
Engineering Preprint PDF DOI

Sequential Inference for Gaussian Processes: A Signal Processing Perspective

Daniel Waxman, Fernando Llorente, Petar M. Djuric · 2026

The proliferation of capable and efficient machine learning (ML) models marks one of the strongest methodological shifts in signal processing (SP) in its nearly 100-year history. ML models support the…

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Engineering Preprint PDF DOI

Hybrid Anomaly Detection for Bullion Coin Authentication Leveraging Acoustic Signature Analysis

Krzysztof Siwek, Tran Hoai Linh, Tomasz Gryczka, Maciej Stodolski · 2026

The verification of bullion coin authenticity is essential for maintaining integrity within the precious metals market; however, the increasing sophistication of counterfeits has rendered traditional …

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Engineering Preprint PDF DOI

Connected Dependability Cage: Run-Time Function and Anomaly Monitoring for the Development and Operation of Safe Automated Vehicles

Iqra Aslam, Nour Habib, Abhishek Buragohain, Meng Zhang, Andreas Rausch, Vaibhav Tiwari, Mohamed Benchat · 2026

The advancement of automated vehicles introduces complex safety challenges, particularly in dynamic and unpredictable environments where AI-enabled perception systems must operate reliably. Ensuring c…

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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 · 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 fib…

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Engineering Preprint PDF DOI

MTT-Bench: Predicting Social Dominance in Mice via Multimodal Large Language Models

Yunquan Chen, Haoyu Chen · 2026

Understanding social dominance in animal behavior is critical for neuroscience and behavioral studies. In this work, we explore the capability of Multimodal Large Language Models(MLLMs) to analyze raw…

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Engineering Preprint PDF DOI

An Innovation-Based Approach to Detect Stealthy Disturbance Attacks in Maritime Monitoring

Gabriele Oliva, Bianca Mazza, Roberto Setola · 2026

Modern maritime navigation and control systems rely on digital sensing, estimation, and communication pipelines that fuse GNSS, radar, inertial, and AIS data through approaches such as Kalman-filter-b…

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Engineering Preprint PDF DOI

When structure does not imply symmetry

Skyler R. St. Pierre, Thibault Vervenne, Ethan C. Darwin, Ellen Kuhl · 2026

Fungal protein materials exhibit inherently anisotropic microstructures formed by networks of hyphae, which suggest a natural pathway to replicate the fibrous texture of animal meat. We probe whether …

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Engineering Preprint PDF DOI

Temporal Cross-Modal Knowledge-Distillation-Based Transfer-Learning for Gas Turbine Vibration Fault Detection

Ali Bagheri Nejad, Mahdi Aliyari-Shoorehdeli, Abolfazl Hasanzadeh · 2026

Preventing machine failure is inherently superior to reactive remediation, particularly for critical assets like gas turbines, where early fault detection (FD) is a cornerstone of industrial sustainab…

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Engineering Preprint PDF DOI

CART: Context-Aware Terrain Adaptation using Temporal Sequence Selection for Legged Robots

Kartikeya Singh, Youngjin Kim, Yash Turkar, Karthik Dantu · 2026

Animals in nature combine multiple modalities, such as sight and feel, to perceive terrain and develop an understanding of how to walk on uneven terrain in a stable manner. Similarly, legged robots ne…

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Engineering Preprint PDF DOI

Failure Identification in Imitation Learning Via Statistical and Semantic Filtering

Quentin Rolland, Fabrice Mayran de Chamisso, Jean-Baptiste Mouret · 2026

Imitation learning (IL) policies in robotics deliver strong performance in controlled settings but remain brittle in real-world deployments: rare events such as hardware faults, defective parts, unexp…

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Engineering Preprint PDF DOI

Olfactory pursuit: catching a moving odor source in complex flows

Maurizio Carbone, Lorenzo Piro, Robin A. Heinonen, Luca Biferale, Massimo Cencini, Antonio Celani · 2026

Locating and intercepting a moving target from possibly delayed, intermittent sensory signals is a paradigmatic problem in decision-making under uncertainty, and a fundamental challenge for, e.g., ani…

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Engineering Preprint PDF DOI

Detectability of Subtle Anomalies in Dynamical Systems via Log-Likelihood Ratio

Alejandro Penacho Riveiros, Matthieu Barreau, Nicola Bastianello · 2026

Industrial control applications require detecting system anomalies as accurately and quickly as possible to enable prompt maintenance. In this context, it is common to consider several possible plant …

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Engineering Preprint PDF DOI

Model-free Anomaly Detection for Dynamical Systems with Gaussian Processes

Alejandro Penacho Riveiros, Nicola Bastianello, Matthieu Barreau · 2026

In this paper we address the problem of detecting differences or anomalies in a dynamical system, based on historical data of nominal operations. This problem encompasses quality control, where newly …

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Engineering Preprint PDF DOI

VCC-DSA: A Novel Vascular Consistency Constrained DSA Imaging Model for Motion Artifact Suppression

Rongjun Ge, Weilong Mao, Jian Lu, Rong Yan, Yikun Zhang, Peng Yuan, Jun Xiang, Hui Tang, Guanyu Yang, Yudong Zhang, Yang Chen, Shuo Li · 2026

Digital Subtraction Angiography (DSA) is a clinically significant imaging technique for diagnosing cerebrovascular disease, as gold-standard. However, the artifacts caused by motion of high-attenuatio…

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Engineering Preprint PDF DOI

SafeMind: A Risk-Aware Differentiable Control Framework for Adaptive and Safe Quadruped Locomotion

Zukun Zhang, Kai Shu, Mingqiao Mo · 2026

Learning-based quadruped controllers achieve impressive agility but typically lack formal safety guarantees under model uncertainty, perception noise, and unstructured contact conditions. We introduce…

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Engineering Preprint PDF DOI

Multimodal Anomaly Detection for Human-Robot Interaction

Guilherme Ribeiro, Iordanis Antypas, Leonardo Bizzaro, Joao Bimbo, Nuno Cruz Garcia · 2026

Ensuring safety and reliability in human-robot interaction (HRI) requires the timely detection of unexpected events that could lead to system failures or unsafe behaviours. Anomaly detection thus play…

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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 · 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 h…

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Engineering Preprint PDF DOI

A Soft Robotic Interface for Chick-Robot Affective Interactions

Jue Chen, Alexander Mielke, Kaspar Althoefer, Elisabetta Versace · 2026

The potential of Animal-Robot Interaction (ARI) in welfare applications depends on how much an animal perceives a robotic agent as socially relevant, non-threatening and potentially attractive (accept…

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Engineering Preprint PDF DOI

Robots that learn to evaluate models of collective behavior

Mathis Hocke, Andreas Gerken, David Bierbach, Jens Krause, Tim Landgraf · 2026

Understanding and modeling animal behavior is essential for studying collective motion, decision-making, and bio-inspired robotics. Yet, evaluating the accuracy of behavioral models still often relies…

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Engineering Preprint PDF DOI

Adaptive Material Fingerprinting for the fast discovery of polyconvex feature combinations in isotropic and anisotropic hyperelasticity

Moritz Flaschel, Hagen Holthusen, Denisa Martonova, Ellen Kuhl · 2026

We recently proposed a method called Material Fingerprinting for the rapid discovery of mechanical material models that avoids solving continuous optimization problems. Material Fingerprinting assumes…

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