Results 91 to 100 of about 5,452,269 (307)

Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images [PDF]

Computer Vision and Pattern Recognition
Recent advancements in large-scale visual-language pre-trained models have led to significant progress in zero/few-shot anomaly detection within natural image domains.
Chaoqin Huang, Aofan Jiang, Jinghao Feng, Ya Zhang, Xinchao Wang, Yanfeng Wang   +5 more
semanticscholar   +1 more source

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

Advanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

Machine learning for Internet of things anomaly detection under low-quality data

International Journal of Distributed Sensor Networks, 2022
With the popularization of Internet of things, its network security has aroused widespread concern. Anomaly detection is one of the important technologies to protect network security.
Shangbin Han, Qianhong Wu, Yang Yang
doaj   +1 more source

Magnetic and Structural Response Tuned by Coexisting Mn Concentration‐Dependent Phases in MnBi2Te4 Thin Film Grown on GaAs(001) by Molecular Beam Epitaxy

Advanced Functional Materials, EarlyView.
The study explores structural and magnetic properties of one of the most recent topological quantum materials (MnBi2Te4). The Mn‐poor structure leads to stacking faults (quintuple layer ‐ QL of Bi2Te3 formation instead of a septuple layer ‐ SL of MnBi2Te4), resulting in a coexistence between weak antiferromagnetism and ferromagnetism.
Wesley F. Inoch, Sergio L. A. Mello, Gilberto Rodrigues‐Junior, Sukarno O. Ferreira, Marcelo M. Sant'Anna, Benjamin R. Salles, Mateus T. Souza, Sérgio L. Morelhão, Maybi F. Sampaio, Bráulio S. Archanjo, Leonarde N. Rodrigues   +10 more
wiley   +1 more source

Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights

IEEE Access
Anomaly detection is of paramount importance in many real-world domains characterized by evolving behavior, such as monitoring cyber-physical systems, human conditions and network traffic.
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Nathalie Japkowicz   +3 more
doaj   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Hyperspectral Anomaly Detection Based on Intrinsic Image Decomposition and Background Subtraction

IEEE Access
Hyperspectral anomaly detection is a detection of abnormal targets in a region based on spectral and spatial information under the premise of no prior knowledge of the target, which is a very important research topic in the field of remote sensing.
Jiao Jiao, Longlong Xiao, Chonglei Wang
doaj   +1 more source

Hyperspectral anomaly detection: a performance comparison of existing techniques

International Journal of Digital Earth, 2022
Anomaly detection in Hyperspectral Imagery (HSI) has received considerable attention because of its potential application in several areas. Numerous anomaly detection algorithms for HSI have been proposed in the literature; however, due to the use of ...
Noman Raza Shah, Abdur Rahman M. Maud, Farrukh Aziz Bhatti, Muhammad Khizer Ali, Khurram Khurshid, Moazam Maqsood, Muhammad Amin   +6 more
doaj   +1 more source

Raman Microscopy at the Organic–Inorganic Interfaces in Human Calcified Aortic Valves Shows the Co‐Existence of Whitlockite Crystals and Carbonated Hydroxyapatite‐Mineralized Collagen Fibrils

Advanced Functional Materials, EarlyView.
This study advances our understanding of aortic valve stenosis by capturing spatially resolved chemical and structural changes at the nanoscale. The findings highlight the potential of combined Raman and electron microscopy for understanding calcification mechanisms across diverse tissue types.
Robin H. M. Van der Meijden, Carolien T. A Kuster, Amber van Broekhoven, Raphaela Allgayer, Luco Rutten, Rona Roverts, Marta Cerruti, Elena Macías‐Sánchez, Jan Hein Cornel, Salloua el Messaoudi, Anat Akiva, Nico Sommerdijk   +11 more
wiley   +1 more source

Design of Hybrid Network Anomalies Detection System (H-NADS) Using IP Gray Space Analysis [PDF]

In Network Security, there is a major issue to secure the public or private network from abnormal users. It is because each network is made up of users, services and computers with a specific behavior that is also called as heterogeneous system.
Sandip S. PATIL, Yogendra Kumar JAIN
core