WGSDMM+ GA: A genetic algorithm-based service clustering methodology assimilating dirichlet multinomial mixture model with word embedding

N Agarwal, G Sikka, LK Awasthi - Future Generation Computer Systems, 2023 - Elsevier
Advancement of web 2.0 results in the expeditious growth of services in repositories and
service portals, which raises the demand for service management. With the clusters of …

A service composition evolution method that combines deep clustering and a service requirement context model

J Lu, J Zheng, Z Chen, Q Wang, D Li, G Xiao - Expert Systems with …, 2023 - Elsevier
Abstract Service composition can quickly build new value-added composite services by
combining existing Web services. However, with the complex and changeable Internet …

Graph neural network-based similarity relationship construction model for geospatial services

F Jin, R Li, H Wu - Geo-spatial Information Science, 2023 - Taylor & Francis
During the development of service-based software systems, Geospatial Service (GS)
replacement is often performed, which requires the discovery of functionally similar services …

[PDF][PDF] Automatic Diagnosis of COVID-19 Patients from Unstructured Data Based on a Novel Weighting Scheme.

AY Mahdi, SS Yuhaniz - Computers, Materials & Continua, 2023 - researchgate.net
The extraction of features from unstructured clinical data of Covid-19 patients is critical for
guiding clinical decision-making and diagnosing this viral disease. Furthermore, an early …

Handling Data Imbalance Using Text Augmentation For Classifying Public Complaints

MR Indrahimawan, PI Santosa… - … Conference on Computer …, 2023 - ieeexplore.ieee.org
As a public service provider, the local government is obliged to provide services for every
citizen, including complaint services as a public response to the services provided. Through …

Une méthode hybride basée sur l'information mutuelle et les algorithmes génétiques pour la sélection des attributs

H Mébaki - 2023 - dspace.univ-guelma.dz
Résumé La sélection de caractéristiques est une étape cruciale dans le processus
d'apprentissage automatique, visant à partir d'un ensemble de données d'origine, à …

[PDF][PDF] ОБЗОР СОВРЕМЕННЫХ МЕТОДОВ ОБРАБОТКИ ЕСТЕСТВЕННЫХ ЯЗЫКОВ НА ОСНОВЕ МАШИННОГО ОБУЧЕНИЯ

МВ Коротеев - ББК 2, 3 Н 34, 2023 - empirya.ru
ОБЗОР СОВРЕМЕННЫХ МЕТОДОВ ОБРАБОТКИ ЕСТЕСТВЕННЫХ ЯЗЫКОВ НА
ОСНОВЕ МАШИННОГО ОБУЧЕНИЯ Page 87 87 УДК 004.89 Коротеев МВ, Финансовый …