Results 111 to 120 of about 5,452,269 (307)
SNAP Framework: Linked Prediction Based Anomaly Prevention With Suspicious Nodes on Social Network Graph [PDF]
In previous studies, the focus has predominantly been on anomaly detection, with minimal attention given to anomaly prevention. However, anomaly prevention holds greater significance than anomaly detection.
Vahide Nida Kılıç, Esra Saraç Eşsiz
doaj +3 more sources
Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
wiley +1 more source
LA-EAD: Simple and Effective Methods for Improving Logical Anomaly Detection Capability
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 +4 more
doaj +1 more source
Electrochromic polymer stability under overpotential is improved by inserting an ultrathin, transparent n‐doped poly(benzodifurandione) interlayer between indium tin oxide and a poly(3,4‐propylenedioxythiophene)‐based electrochromic polymer. The interlayer supports rapid switching at operating bias, then becomes resistive near +0.8 V to suppress excess
Priyanka Rout +4 more
wiley +1 more source
ViGLAD: Vision Graph Neural Networks for Logical Anomaly Detection
Quality inspection is an industrial field with a growing interest in anomaly detection research. An anomaly in an image can either be structural or logical.
Firas Zoghlami +4 more
doaj +1 more source
Inducing Ferromagnetism by Structural Engineering in a Strongly Spin‐Orbit Coupled Oxide
ABSTRACT Magnetic materials with strong spin‐orbit coupling (SOC) are essential for the advancement of spin‐orbitronic devices, as they enable efficient spin‐charge conversion, complex magnetic structures, spin‐valley physics, topological phases and other exotic phenomena.
Ji Soo Lim +19 more
wiley +1 more source
Anomaly Detection Algorithms for Real-Time Log Data Analysis at Scale
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 +8 more
doaj +1 more source
With its exponential growth, the Internet of Things (IoT) has produced unprecedented levels of connectivity and data. Anomaly detection is a security feature that identifies instances in which system behavior deviates from the expected norm, facilitating
Saida Hafsa Rafique +3 more
semanticscholar +1 more source
The role of novel thiophene‐based ligands with halogen substitutions in enhancing the chiroptical and optoelectronic properties of 2D chiral HOIPs has been investigated. By tailoring ligand design, enhanced CD and CPL properties are achieved, with improved CPL discrimination in photodetectors.
Boesung Kwon +4 more
wiley +1 more source
Computational Modeling Meets 3D Bioprinting: Emerging Synergies in Cardiovascular Disease Modeling
Emerging advances in three‐dimensional bioprinting and computational modeling are reshaping cardiovascular (CV) research by enabling more realistic, patient‐specific tissue platforms. This review surveys cutting‐edge approaches that merge biomimetic CV constructs with computational simulations to overcome the limitations of traditional models, improve ...
Tanmay Mukherjee +7 more
wiley +1 more source

