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Showing 2139 results for "animal" in Engineering
Engineering Preprint PDF DOI

Sequential Inference for Gaussian Processes: A Signal Processing Perspective

Daniel Waxman, Fernando Llorente, Petar M. Djuric ยท 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 theโ€ฆ

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Hybrid Anomaly Detection for Bullion Coin Authentication Leveraging Acoustic Signature Analysis

Krzysztof Siwek, Tran Hoai Linh, Tomasz Gryczka, Maciej Stodolski ยท 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 โ€ฆ

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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 ยท 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 cโ€ฆ

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Engineering Preprint PDF DOI

A Novel Two-Step Approach for Reactive Power Demand Calculation Using Integrated Voltage Stability Analysis

Hassan Abouelgheit, Hendrik Lens ยท 2026

The assessment of reactive power demand plays an instrumental role in power system planning. This paper presents a methodology for calculating reactive power demand based on a two-step approach. Unlikโ€ฆ

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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 ยท 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 fibโ€ฆ

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Engineering Preprint PDF DOI

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

Yunquan Chen, Haoyu Chen ยท 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 rawโ€ฆ

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Engineering Preprint PDF DOI

Transformer Architecture with Minimal Inference Latency for Multi-Modal Wireless Networks

Minsu Kim, Walid Saad, Kui Wang, Zongdian Li, Tao Yu, Kei Sakaguchi ยท 2026

Next-generation wireless networks are expected to leverage multi-modal data sources to execute various wireless communication tasks such as beamforming and blockage prediction with situational-awareneโ€ฆ

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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 ยท 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-bโ€ฆ

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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 ยท 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 โ€ฆ

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A Common Lyapunov Matrix Approach to the Exponential Stability of Augmented Primal-Dual Gradient Flow as LPV Systems

Mengmou Li, Lijun Zhu, Masaaki Nagahara ยท 2026

We show that a common Lyapunov matrix exists for the convex combination of two Hurwitz matrices if and only if the intersection of the set of strict Lyapunov matrices for one matrix and the set of nonโ€ฆ

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Minimal Input Cardinality Disturbance Decoupling of Coupled Oscillators via Output Feedback with Application to Power Networks

Luca Claude Gino Lebon, Johan Lindberg, Claudio Altafini ยท 2026

In this paper, we identify the smallest set of control input nodes and an associated output feedback law that achieves complete disturbance decoupling for a class of coupled oscillator networks. The fโ€ฆ

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

Ali Bagheri Nejad, Mahdi Aliyari-Shoorehdeli, Abolfazl Hasanzadeh ยท 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 sustainabโ€ฆ

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

Kartikeya Singh, Youngjin Kim, Yash Turkar, Karthik Dantu ยท 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 neโ€ฆ

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Failure Identification in Imitation Learning Via Statistical and Semantic Filtering

Quentin Rolland, Fabrice Mayran de Chamisso, Jean-Baptiste Mouret ยท 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, unexpโ€ฆ

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Engineering Preprint PDF DOI

Synthesis and Deployment of Maximal Robust Control Barrier Functions through Adversarial Reinforcement Learning

Donggeon David Oh, Duy P. Nguyen, Haimin Hu, Jaime Fernandez Fisac ยท 2026

Robust control barrier functions (CBFs) provide a principled mechanism for smooth safety enforcement under worst-case disturbances. However, existing approaches typically rely on explicit, closed-formโ€ฆ

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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 ยท 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., aniโ€ฆ

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

Alejandro Penacho Riveiros, Matthieu Barreau, Nicola Bastianello ยท 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 โ€ฆ

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Model-free Anomaly Detection for Dynamical Systems with Gaussian Processes

Alejandro Penacho Riveiros, Nicola Bastianello, Matthieu Barreau ยท 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 โ€ฆ

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Minimal Embodiment Enables Efficient Learning of Number Concepts in Robot

Zhegong Shangguan, Alessandro Di Nuovo, Angelo Cangelosi ยท 2026

Robots are increasingly entering human-interactive scenarios that require understanding of quantity. How intelligent systems acquire abstract numerical concepts from sensorimotor experience remains a โ€ฆ

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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 ยท 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-attenuatioโ€ฆ

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