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Anomaly to Resource: The Mpemba Effect in Quantum Thermometry

Correaet al.(2015)Luis A. Correa, Mohammad Mehboudi, Gerardo Adesso, and Anna Sanpera, Individual quantum probes for optimal thermometry, Physical Review Letters114, 220405 (2015). Mehboudiet al.(2019)Mohammad Mehboudi, Anna Sanpera, Juan M. R. Parrondo, and Luis A. Correa, Thermometry in the quantum regime: Recent the...

arxiv.org

[2601.05046] Anomaly to Resource: The Mpemba Effect in Quantum Thermometry

has mostly been viewed as a thermodynamic anomaly. Here, we bridge this gap by proving that Mpemba-type inversions generically yield a finite-time enhancement of the quantum Fisher information (QFI) for temperature estimation, thereby converting an anomalous relaxation effect into a concrete metrological resource. Through explicit analyses o...

arxiv.org

Karhunen–Loève Expansion–Based Residual Anomaly Map for Resource-Efficient Glioma MRI Segmentation

[1]A. Ferreira, J. A. Reis, A. M. Castro, A. C. F. Silva, and D. M. Martins, How We Won BraTS 2023 Adult Glioma Challenge? Just Faking It! Enhanced Synthetic Data Augmentation and Model Ensemble for Brain tumor Segmentation, https://doi.org/10.48550/arXiv.2402.17317, 2024. [2]B. H. Menze, A. Jakab, S. Bauer, J. Kalpathy-Cramer, K. Fa...

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    Anomaly Resource

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    [2604.08581v1] Fully Autonomous Z-Score-Based TinyML Anomaly Detection on Resource-Constrained MCUs Using Power Side-Channel Data

    anomaly detection approaches that rely on offline training or cloud-assisted analytics, the proposed system performs both model training and inference directly on a resource-constrained microcontroller without external computation or connectivity. The system continuously samples current consumption, computes Root Mean Square (RMS) values on...

    arxiv.org

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    [2606.07669] MemoVAD: Resource-Efficient Video Anomaly Detection via Dynamic Semantic Memory in Edge Computing Scenarios

    View PDFHTML (experimental)Abstract:Deploying Video Anomaly Detection (VAD) in real-world surveillance faces a fundamental tension between the demand for high-level semantics to ensure effectiveness and the limited computational resources of edge devices. Vision-Language Models (VLMs) provide rich open-vocabulary semantics, but the...

    arxiv.org

    [2608.08859] Agentic Anomaly Detection with ORCA-Style Dynamic Inductive Bias Adaptation in Multimodal Wearable Time Series Data

    challenging out-of-distribution benchmark, observing conservative generalization behavior without performance collapse under heterogeneous clinical conditions. These results highlight adaptive temporal inductive bias control as a practical and robust design principle for anomaly detection in resource-constrained, nonstationary physiological time s...

    arxiv.org

    The Relationship Between Geochemical Anomaly and Resource Prospect Hechun Area, Southern Segment of Qinzhou-Hangzhou Belt, China--《2014年中国...

    Southern Segment of Qinzhou-Hangzhou Belt The Relationship Between Geochemical Anomaly and Resource Prospect in Hechun Area 【摘要】: 正 Hechun Area is an important resource prospect,located in the west of Guangdong provinces,China.Structurally,it is regarded... 《2014年中国地球科学联合学术年会——专题47:钦杭结合带地质演化...

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    AnomalySecurityMLAnalyticsSettings Constructor (Azure.ResourceManager.SecurityInsights.Models) - Azure for .NET Developers | Microsoft Learn

    Initializes a new instance of AnomalySecurityMLAnalyticsSettings. Skip to main contentSkip to in-page navigationUpgrade to Microsoft Edge to take advantage of the latest f... Azure.ResourceManager.SecurityInsights.ModelsImportant Some information relates to prerelease product that may be substantially modified before it’s released. Microso...
    learn.microsoft.com

    [2601.15177] Dynamic Management of a Deep Learning-Based Anomaly Detection System for 5G Networks

    techniques to analyze network flows and to detect network anomalies. Moreover, it uses policies in order to provide an efficient and dynamic management system of the computing resources used in the anomaly detection process. The paper presents relevant aspects of the deployment of the proposal and experimental results to show its performan...

    arxiv.org
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