Results 161 to 170 of about 4,738,087 (364)

A case study of anomaly detection: Shallow semantic processing and cohesion establishment [PDF]

, 1993
Stephen Barton, Anthony J. Sanford
openalex   +1 more source

Autonomous Control of Extrusion Bioprinting Using Convolutional Neural Networks

Advanced Functional Materials, EarlyView.
This work presents a novel computer vision system for high‐fidelity monitoring of extrusion‐based bioprinting and a correction system utilizing convolutional neural networks for error mitigation. This system has demonstrated high detection accuracy and extrusion correction abilities that advance the state of the art toward accelerated printing ...
Daniel Kelly, Vasileios Sergis, Laura Ventura i Blanco, Karl Mason, Andrew C. Daly   +4 more
wiley   +1 more source

Anomaly‐background separation and particle swarm optimization based band selection for hyperspectral anomaly detection

IET Image Processing
As one of the dimensionality reduction techniques of hyperspectral image (HSI), band selection (BS) does not change the spectral characteristics and physical meaning of HSIs, which is beneficial to the identification and analysis of surface objects ...
Xiaodi Shang, Yiqi Duan, Xiaopeng Wang, Baijia Fu, Xudong Sun   +4 more
doaj   +1 more source

On-the-fly detection of access anomalies in nested parallel loops [PDF]

, 1993
Yong-Kee Jun, Kern Koh
openalex   +1 more source

Self‐Poled Halide Perovskite Ruddlesden‐Popper Ferroelectric‐Photovoltaic Semiconductor Thin Films and Their Energy Harvesting Properties

Advanced Functional Materials, EarlyView.
Low‐dimensional halide perovskite thin films, (BA)2(MA)n‐1PbnBr3n+1 (n = 1, 2), exhibit both semiconducting and ferroelectric properties, enabling mechanical and light energy harvesting. Using Cr/Cr₂O₃ or PCBM as barrier layers ensures reproducible ferroelectricity.
Raja Sekhar Muddam, Shaoyang Wang, Nirmal Prashanth Maria Joseph Raj, Qingping Wang, Philip Wijesinghe, Julia Payne, Matthew S. Dyer, Chris Bowen, Lethy Krishnan Jagadamma   +8 more
wiley   +1 more source

Anomaly Detection in Smart Environments: A Comprehensive Survey

IEEE Access
Anomaly detection is a critical task in ensuring the security and safety of infrastructure and individuals in smart environments. This paper provides a comprehensive analysis of recent anomaly detection solutions in data streams supporting smart ...
Daniel Fahrmann, Laura Martin, Luis Sanchez, Naser Damer   +3 more
doaj   +1 more source

Structural material anomaly detection system using water chemistry data. V. Impurity ions balance evaluation based on conductivity data and its application to water chemistry diagnosis in BWR plants. [PDF]

, 1990
Yamato ASAKURA, Makoto Nagase, Shunsuke Uchida, Katsumi Ohsumi, Hiroo Igarashi, Yoshinobu Takahashi, Tatsumi Yamamoto, Hirokatsu Uchiyama, Kazumi Hashizume   +8 more
openalex   +1 more source

Enhanced Magnetization Switching Efficiency via Orbital‐Current‐Induced Torque in Ti/Ta (Pt)/CoFeB/MgO Structures

Advanced Functional Materials, EarlyView.
The orbital‐current‐induced torque is investigated as an efficient method for controlling magnetization direction. By introducing Ti as an orbital current source in Ti/Ta (or Pt)/CoFeB/MgO structures, the switching current is reduced by ∼25% compared to a conventional spin‐orbit torque structure of Ta/CoFeB/MgO.
So y. Shin, Donghyeon Han, Soogil Lee, Byong‐Guk Park   +3 more
wiley   +1 more source

pyCLAD: The universal framework for continual lifelong anomaly detection

SoftwareX
Anomaly detection is a recognized problem with high significance and impact in many real-world settings. Continual anomaly detection is an emerging paradigm that allows for the design of anomaly detection methods capable of adapting to new challenges in ...
Kamil Faber, Bartlomiej Sniezynski, Nathalie Japkowicz, Roberto Corizzo   +3 more
doaj  

Sensor Monitoring Techniques in Edge Computing Using Spatio-Temporal Correlation Anomaly Detection Algorithms

IEEE Access
Due to the rapid development of technologies such as cloud computing and the Internet of Things (IoT), wireless sensor networks are becoming increasingly popular in the field of environmental monitoring.
Rui Zhang, Lide Zhou, Aoqi Mei, Yipeng He   +3 more
doaj   +1 more source