Results 111 to 120 of about 161,068 (368)

Quantitative benchmarking of anomaly detection methods in digital pathology images

Machine Learning: Health
Anomaly detection has been widely studied in the context of industrial defect inspection, with numerous methods developed to tackle a range of challenges.
Can Cui, Xindong Zheng, Ruining Deng, Quan Liu, Tianyuan Yao, Keith T Wilson, Lori A Coburn, Bennett A Landman, Haichun Yang, Yaohong Wang, Yuankai Huo   +10 more
doaj   +1 more source

LA-EAD: Simple and Effective Methods for Improving Logical Anomaly Detection Capability

Sensors
In the field of intelligent manufacturing, image anomaly detection plays a pivotal role in automated product quality inspection. Most existing anomaly detection methods are adept at capturing local features of images, achieving high detection accuracy ...
Zhixing Li, Zan Yang, Lijie Zhang, Lie Yang, Jiansheng Liu   +4 more
doaj   +1 more source

Composites of Shellac and Silver Nanowires as Flexible, Biobased, and Corrosion‐Resistant Transparent Conductive Electrodes

Advanced Functional Materials, EarlyView.
Shellac, a centuries‐old natural resin, is reimagined as a green material for flexible electronics. When combined with silver nanowires, shellac films deliver transparency, conductivity, and stability against humidity. These results position shellac as a sustainable alternative to synthetic polymers for transparent conductors in next‐generation ...
Rahaf Nafez Hussein, Tiago Carneiro Gomes, Eliza Ng, Simon Rondeau‐Gagné, Tricia Breen Carmichael   +4 more
wiley   +1 more source

Anomaly intrusion detection model using data mining techniques [PDF]

, 2006
Intrusion detection system has become an important component of a network infrastructure protection mechanism. There are generally two main methods or techniques in intrusion detection; misuse detection and anomaly detection.
Rusli, Rozana, Abdullah, Abdul Hanan
core  

Anomaly Detection for IoT devices using Hierarchical Self-Organizing Maps [PDF]

, 2021
With the growing use of the Internet of Things (IoT), the IoT platforms, and the solutions and services related to them, cybersecurity stays of utmost importance.
Toshpulatov, Muhammadjon
core  

Polarizable Vanadium Dipoles Promote Water Dissociation on Vanadium‐Based Metal Organic Framework

Advanced Functional Materials, EarlyView.
The polarization of unpaired V 3d electrons weakens the H─O bond to improve water dissociation by the dual Vδ+:O─H and Pλ−:H─O coupling hydrogen bonds formation and relaxation. P@V‐MOF electrocatalyst shows low overpotentials (94 mV in acid, 178 mV in neutral, and 77 mV in alkaline solutions) with excellent stability for effective overall water ...
Xinjuan Liu, Jun Xu, Minmin Fan, Jingcheng Xu, Mengyuan Li, Yun Gong, Weiwei Yang, Lei Li, Yong Zhou, Deqiang Zhao, Yuhua Xue, Xingtao Xu, Chang Q. Sun, Liming Dai   +13 more
wiley   +1 more source

Anomaly Detection Algorithms for Real-Time Log Data Analysis at Scale

IEEE Access
In recent years, Artificial Intelligence for IT Operations (AIOps) has gained popularity as a solution to various challenges in IT operations, particularly in anomaly detection.
Andras Horvath, Andras Olah, Attila Pinter, Balint Siklosi, Gergely Lukacs, Istvan Z. Reguly, Kalman Tornai, Tamas Zsedrovits, Zoltan Mathe   +8 more
doaj   +1 more source

Unsupervised anomaly detection for HVAC units [PDF]

reservedThis thesis project focuses on the detection, using unsupervised methods, of anomalies in HVAC units. The main goal is to detect compressors' faults by training a specialized isolation forest model on raw sensors' data.
LUISETTO, FEDERICO
core  

Chemical State Detection and Charge Transfer in Complex Oxide Heterostructures via In Situ Auger Electron Spectroscopy

Advanced Functional Materials, EarlyView.
In situ Auger Electron Spectroscopy resolves oxidation states with high fidelity during the pulsed laser deposition of multivalent perovskite manganate and vanadate heterostructures. The chemical‐state signature is carried by the valence‐electron population of the transition‐metal cation, read out through the relative intensities of Auger fine ...
Harish Kumarasubramanian, Jayakanth Ravichandran   +1 more
wiley   +1 more source

Enhancing Time Series Anomaly Detection: A Knowledge Distillation Approach with Image Transformation

Sensors
Anomaly detection is critical in safety-sensitive fields, but faces challenges from scarce abnormal data and costly expert labeling. Time series anomaly detection is relatively challenging due to its reliance on sequential data, which imposes high ...
Haiwoong Park, Hyeryung Jang
doaj   +1 more source