Fine-Tuning Artificial Neural Networks to Predict Pest Numbers in Grain Crops: A Case Study in Kazakhstan.

Autor: Anarbekova, Galiya, Ruiz, Luis Gonzaga Baca, Akanova, Akerke, Sharipova, Saltanat, Ospanova, Nazira

Publikováno v: Machine Learning & Knowledge Extraction; Jun2024, Vol. 6 Issue 2, p1154-1169, 16p

DEVELOPMENT OF A NEURAL NETWORK MODEL FOR TRAINING DATA ON THE EFFECTS OF PHOSPHORUS ON SPRING WHEAT GROWTH.

Autor: Sharipova, Saltanat, Аkanova, Akerke, Ospanova, Nazira

Publikováno v: Eastern-European Journal of Enterprise Technologies; 2023, Vol. 126 Issue 4, p32-38, 7p

Development of the algorithm of keyword search in the Kazakh language text corpus

Autor: Akanova, Akerke, Ospanova, Nazira, Kukharenko, Yevgeniya, Abildinova, Gulmira

Publikováno v: Eastern-European Journal of Enterprise Technologies; Том 5, № 2 (101) (2019): Information technology. Industry control systems; 26-32
Восточно-Европейский журнал передовых технологий; Том 5, № 2 (101) (2019): Информационные технологии. Системы управления в промышленности; 26-32
Східно-Європейський журнал передових технологій; Том 5, № 2 (101) (2019): Інформаційні технології. Системи управління в промисловості; 26-32

The issue of semantic text analysis occupies a special place in computational linguistics. Researchers in this field have an increased interest in developing an algorithm that will improve the quality of text corpus processing and probabilistic deter

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=scientific_p::5f0ecddf1d0600d47ad67b6b310099aa
http://journals.uran.ua/eejet/article/view/179036