anomalyresource.com/

以下是包含"anomalyresource.com/"的结果

Anomaly to Resource: The Mpemba Effect in Quantum Thermometry

[1]Luis A. Correa, Mohammad Mehboudi, Gerardo Adesso, and Anna Sanpera, Individual quantum probes for optimal thermometry, Physical Review Letters114, 220405 (2015). [2]Mohammad Mehboudi, Anna Sanpera, Juan M. R. Parrondo, and Luis A. Correa, Thermometry in the quantum regime: Recent theoretical progress, Journal of Physic...

arxiv.org 8月24日

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...

arxiv.org 8月24日

[2604.08581] 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 3月28日

[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 6月4日

[2601.11833] Karhunen-Loève Expansion-Based Residual Anomaly Map for Resource-Efficient Glioma MRI Segmentation

Anthony HurView a PDF of the paper titled Karhunen-Lo\~eve Expansion-Based Residual Anomaly Map for Resource-Efficient Glioma MRI Segmentation, by Anthony Hur View PDFHTML (experimental)Abstract:Accurate segmentation of brain tumors is essential for clinical diagnosis and treatment planning. Deep learning is currently the state-of-th...

arxiv.org 1月16日

[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 1月8日

[2610.05807] Protocol-Sensitive Evaluation of Log Anomaly Detection: Component Costs and Target-Access Sensitivity on HDFS and BGL

from classifier training, prediction, and storage. Together, these findings connect detector comparisons to the test population, preprocessing state, visible information, and measured pipeline stages, and identify the protocol fields needed alongside a score to support interpretable comparisons of log anomaly detection accuracy and resource use.

arxiv.org 10月5日

AnomalyTimelineItem Class (Azure.ResourceManager.SecurityInsights.Models) - Azure for .NET Developers | Microsoft Learn

public class AnomalyTimelineItem : Azure.ResourceManager.SecurityInsights.Models.EntityTimelineItem, System.ClientModel.Primitives.IJsonModel Azure.ResourceManager.SecurityInsights.Models.AnomalyTimelineItem , System.ClientModel.Primitives.IPersistableModel Azure.ResourceManager.SecurityInsights.Models.AnomalyTimelineItem typ...

learn.microsoft.com

Learning In-Distribution Representations for Anomaly Detection

Bergmann et al. (2021)Paul Bergmann, Kilian Batzner, Michael Fauser, David Sattlegger, and Carsten Steger.The mvtec anomaly detection dataset: a comprehensive real-w... and H Eugene Stanley.Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals.circulation, 101(23):e215–e220, 2...

arxiv.org 2013年12月12日

Optimizing Resource Allocation and Energy Efficiency in Federated Fog Computing for IoT

[6]M. Shafiq, Z. Tian, and A. Bashir, Machine Learning for IoT Network Security: Anomaly Detection Techniques, IEEE Network, vol. 34, no. 5, pp. 62–69, 2020. [7]T. T. Le and T. V. Nguyen, Adaptive Machine Learning Approaches for IoT Security, IEEE Transactions on Industrial Informatics, vol. 18, no. 6, pp. 3912–3921, 2022. [8]H. Zhang, L. Yan...

arxiv.org

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Anomaly to Resource: The Mpemba Effect in Quantum Thermometry

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

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