Using Of Learning Vector Quantization Network for Pan Evaporation Estimation
A modern technique is presented to study the evaporation process which is considered as an important component of the hydrological cycle. The Pan Evaporation depth is estimated depending upon four metrological factors viz. (temperature, relative humidity,
Kamil7 A. Abdulmohsen, Iftikar A. Al Ani
doaj
Inter‐Model Feature Fusion for Robust Low‐Resource Speech Recognition
Our Self‐Supervised Feature Fusion (SSF‐FT) method enhances low‐resource speech recognition by adaptively combining features from self‐supervised models trained with Contrastive, Predictive, and Reconstruction objectives. This attention‐weighted ensemble delivers robust performance, particularly in acoustically challenging conditions, extending current
Ussen Kimanuka +2 more
wiley +1 more source
Proportional Learning Vector Quantization
Rui-Ping LI, Masao MUKAIDONO
openaire +2 more sources
A priori bounds for the generalised parabolic Anderson model
Abstract We show a priori bounds for solutions to (∂t−Δ)u=σ(u)ξ$(\partial _t - \Delta) u = \sigma (u) \xi$ in finite volume in the framework of Hairer's Regularity Structures [Invent Math 198:269–504, 2014]. We assume σ∈Cb2(R)$\sigma \in C_b^2 (\mathbb {R})$ and that ξ$\xi$ is of negative Hölder regularity of order −1−κ$- 1 - \kappa$ where κ<κ¯$\kappa <
Ajay Chandra +2 more
wiley +1 more source
SISTEM VERIFIKASI WAJAH MENGGUNAKAN JARINGAN SARAF TIRUAN LEARNING VECTOR QUANTIZATION
Verifikasi wajah merupakan salah satu teknologi biometrika yang menjadi perhatian para peneliti. Banyak sekali sistem aplikasi yang berbasis kepada verifikasi wajah misalnya: akses pintu, akses mesin ATM, sistem presensi kehadiran, dll.
Abdul Fadlil, Surya Yeki
doaj
When constructing a new data classification algorithm, relevant quality indices such as classification accuracy (ACC) or the area under the receiver operating characteristic curve (AUC) should be investigated. End-users of these algorithms are interested
Czmil Sylwester +2 more
doaj +1 more source
Neural Classification of Compost Maturity by Means of the Self-Organising Feature Map Artificial Neural Network and Learning Vector Quantization Algorithm. [PDF]
Boniecki P +4 more
europepmc +1 more source
Rethinking Collinearity in Self‐Organizing Maps: Evidence From Geophysical Data Classification
Abstract This study examines the impact of collinearity on unsupervised machine learning algorithms (UMLAs), specifically Self‐Organizing Maps (SOMs), for detecting lithological boundaries in geophysical data. Using a multi‐scale experimental framework that includes bivariate isotropic clusters, geologically complex Noddy simulations, and real‐world ...
Limin Xu +2 more
wiley +1 more source
Merging van der Waals Materials and Optical Metasurfaces for Cavity Quantum Electrodynamics
Flat optical metasurfaces supporting quasi‐bound states in the continuum (qBIC) enable cavity‐like, high‐Q resonances in ultrathin nanostructures. This perspective explores the emergence of cavity quantum electrodynamics in qBIC metasurfaces, specifically those made from ultrathin van der Waals nanostructures, where cavities and emitters are seamlessly
Luca Sortino +2 more
wiley +1 more source
Round Randomized Learning Vector Quantization for Brain Tumor Imaging. [PDF]
Sheikh Abdullah SN +7 more
europepmc +1 more source

