Results 91 to 100 of about 307,816 (329)

Influence of Hysteresis on Magnetocaloric Performance at Cryogenic Temperatures: A Tb3Ni Case Study

Advanced Functional Materials, EarlyView.
The existence of an inverse magnetocaloric effect in metamagnetic materials at cryogenic temperatures is investigated using multiple methods. Contrary to predictions from magnetization data, neither specific heat nor pulsed‐field measurements show such a cooling effect, instead indicating irreversible heating.
Timo Niehoff, Benedikt Beckmann, Konstantin Skokov, Aritz Herrero, Alberto Oleaga, Eduard Bykov, Catalina Salazar Mejía, Marc Straßheim, Oliver Gutfleisch, J. Wosnitza, Tino Gottschall   +10 more
wiley   +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

High Performance Room Temperature Multiferroic Properties of w‐MnSe Altermagnet

Advanced Functional Materials, EarlyView.
Using first‐principles calculations, for the first time the Altermagneto‐Ferroelectric Coupling Effect (AFCE) is proposed, which enables control of both electric polarization and spin splitting in the band structure due to polyhedral rotations. This uncovers robust multiferroicity in wurtzite MnSe at room temperature, offering an exciting route for ...
Djamel Bezzerga, Imran Khan, Jisang Hong
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

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  

Sonication‐Assisted Palladium Nanogaps in a Capacitive Structure: A Tunable and Reliable Solution for Sensitive Hydrogen Monitoring

Advanced Functional Materials, EarlyView.
This study presents a capacitive hydrogen sensor with a simple structure and process. Sonication‐induced Pd nanogaps modulate the effective electrode area in response to hydrogen concentration, resulting in capacitance changes within a range predefined by physical parameters.
Sang‐kil Lee, Joonho Lee, Jiwoo Hong, Seyoung Park, Eugene Cho, Seunghyun Lee, Keunhyung Lee, Hyun‐Sook Lee, Kyu Hyoung Lee, Wooyoung Lee   +9 more
wiley   +1 more source

Low‐Symmetry Weyl Semimetals: A Path to Ideal Topological States

Advanced Functional Materials, EarlyView.
This study presents a theoretical framework for realizing ideal Weyl semimetals, where Weyl nodes are well‐isolated at the Fermi level. The approach is exemplified in the low‐symmetry material Cu2SnSe3, which exhibits tunable topological phases, current‐induced orbital magnetization, and a strong circular photogalvanic effect, making it a promising ...
Darius‐Alexandru Deaconu, Varun Shah, Rodion Vladimirovich Belosludov, Mohammad Saeed Bahramy   +3 more
wiley   +1 more source

Modulating Oxide‐Based Quantum Materials by Ion Implantation

Advanced Functional Materials, EarlyView.
This review highlights how ion implantation, a well developed chip‐technology, enables targeted modulation of oxide‐based quantum materials. This includes tuning of metal‐insulator transitions, magnetism, and superconductivity through selective doping, defect creation, and induced lattice strain. Abstract Ion implantation has emerged as a powerful tool
Andreas Herklotz, Thomas Zac Ward, Shengqiang Zhou   +2 more
wiley   +1 more source

ViGLAD: Vision Graph Neural Networks for Logical Anomaly Detection

IEEE Access
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, Dena Bazazian, Giovanni L. Masala, Mario Gianni, Asiya Khan   +4 more
doaj   +1 more source

Recent Progress of Anomaly Detection

Complexity, 2019
Anomaly analysis is of great interest to diverse fields, including data mining and machine learning, and plays a critical role in a wide range of applications, such as medical health, credit card fraud, and intrusion detection.
Xiaodan Xu, Huawen Liu, Minghai Yao
doaj   +1 more source