Theoretical Evidence for the Berry-Phase Mechanism of Anomalous Hall Transport: First-principles Studies on CuCr$_2$Se$_{4-x}$Br$_x$ [PDF]
, 2007 To justify the origin of anomalous Hall effect (AHE), it is highly desirable to have the system parameters tuned continuously. By quantitative calculations, we show that the doping dependent sign reversal in CuCr$_{2}$Se$_{4-x}$Br$_{x}$, observed but not
Di Xiao +10 more
core +3 more sources
Image-Based Arabic Sign Language Recognition System Using Transfer Deep Learning Models
Applied Computational Intelligence and Soft Computing, 2023 Sign language is a unique communication tool helping to bridge the gap between people with hearing impairments and the general public. It holds paramount importance for various communities, as it allows individuals with hearing difficulties to ...
Qanita Bani Baker +3 more
doaj +1 more source
Stability of HDE model with sign-changeable interaction in Brans-Dicke theory
, 2018 We consider the Brans-Dicke (BD) theory of gravity and explore the cosmological implications of the sign-changeable interacting holographic dark energy (HDE) model in the background of Friedmann-Robertson-Walker (FRW) universe.
Sheykhi, A., Zadeh, M. Abdollahi
core +1 more source
No-Scale Scenarios in the Light of New Measurement of Muon Anomalous Magnetic Moment [PDF]
, 2001 Supersymmetric contribution to the muon anomalous magnetic moment a_\mu is discussed in the no-scale-type supersymmetry breaking scenarios. Taking the correlation between the supersymmetric contributions to a_\mu and Br(b\to s\gamma), it is shown that ...
Arnowitt +39 more
core +4 more sources
Intelligent System for Automatic Bidirectional Sign Language Translation Based on Recognition and Synthesis of Audiovisual and Sign Speech [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesThis paper presents an intelligent system for automatic bidirectional translation between sign language and spoken language, aimed at facilitating inclusive communication between deaf or hard-of-hearing individuals and hearing persons.
D. Ivanko, D. Ryumin
doaj +1 more source
Machine learning methods for sign language recognition: A critical review and analysis
Intelligent Systems with Applications, 2021 Sign language is an essential tool to bridge the communication gap between normal and hearing-impaired people. However, the diversity of over 7000 present-day sign languages with variability in motion position, hand shape, and position of body parts ...
I.A. Adeyanju, O.O. Bello, M.A. Adegboye
doaj +1 more source
Integer and half-integer flux-quantum transitions in a niobium/iron-pnictide loop
, 2010 The recent discovery of iron-based superconductors challenges the existing paradigm of high-temperature superconductivity. Owing to their unusual multi-orbital band structure, magnetism, and electron correlation, theories propose a unique sign reversed s-
AD Christianson +34 more
core +1 more source
IEEE AccessThe Deaf are a large social group in society. Their unique way of communicating through sign language is often confined within their community due to limited understanding by individuals outside of this demographic.
Tangfei Tao +3 more
doaj +1 more source
Traffic Sign Detection and Classification on the Austrian Highway Traffic Sign Data Set
Data, 2023 Advanced Driver Assistance Systems rely on automated traffic sign recognition. Today, Deep Learning methods outperform other approaches in terms of accuracy and processing time; however, they require vast and well-curated data sets for training.
Alexander Maletzky +4 more
doaj +1 more source
Journal of Advanced Transportation, 2021 Given the impact of traffic sign combinations (TSC) on the driver’s visual recognition, this paper analyzed the influence on the driver’s visual recognition process.
Kun Liu, Hongxing Deng
doaj +1 more source