What to teach? Strategies for developing digital competency in preservice teacher training

SK Howard, J Tondeur, J Ma, J Yang - Computers & Education, 2021 - Elsevier
Developing digital competencies is a critical component of preservice teacher training.
However, this is a complex process which includes a range of different strategies. Moreover …

Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding

B Zhou, T Pychynski, M Reischl, E Kharlamov… - Journal of Intelligent …, 2022 - Springer
Digitalisation trends of Industry 4.0 and Internet of Things led to an unprecedented growth of
manufacturing data. This opens new horizons for data-driven methods, such as Machine …

Обзор современных технологий извлечения знаний из текстовых сообщений

АА Мусаев, ДА Григорьев - Компьютерные исследования и …, 2021 - mathnet.ru
Решение общей проблемы информационного взрыва связано с системами
автоматической обработки цифровых данных, включая их распознавание, сортировку …

Revisiting of peer-to-peer traffic: taxonomy, applications, identification techniques, new trends and challenges

MSA Ansari, K Pal, MC Govil - Knowledge and Information Systems, 2023 - Springer
The services provided through peer-to-peer (P2P) architecture involve the transmission of
text, images, documents, and multimedia. Especially the distribution of multimedia content …

Analysis of peculiarities of using digital technologies in the university professional training content

E Akhmetshin, V Vasilev, A Kozachek… - … Journal of Emerging …, 2021 - learntechlib.org
The relevance of the study is due to the increasing role of digital technologies in education.
The abrupt shift of universities to distance learning during the COVID-19 pandemic has …

Software Effort Estimation for Improved Decision Making

SMN Sakib - 2022 - cambridge.org
Now a days, software development organizations use machine learning techniques in
different areas to improve decision-making process so that their performance is boosted. In …

[HTML][HTML] Refinement of Cropland Data Layer with Effective Confidence Layer Interval and Image Filtering

R Maleki, F Wu, A Oubara, L Fathollahi, G Yang - Agriculture, 2024 - mdpi.com
Various systems have been developed to process agricultural land data for better
management of crop production. One such system is Cropland Data Layer (CDL), produced …

Utilization of Data Mining on MSMEs using FP-Growth Algorithm for Menu Recommendations

FN Hasan, AS Aziz, Y Nofendri - MATRIK: Jurnal …, 2023 - journal.universitasbumigora.ac.id
Existing transaction data is only recorded and stored as a sales transaction memorandum,
so it has not been utilized optimally. The data is only stored and used as transaction history …

ML Pro: Digital assistance system for interactive machine learning in production

C Neunzig, D Möllensiep, B Kuhlenkötter… - Journal of Intelligent …, 2024 - Springer
The application of machine learning promises great growth potential for industrial
production. The development process of a machine learning solution for industrial use cases …

Machine learning methods for product quality monitoring in electric resistance welding

B Zhou - 2021 - publikationen.bibliothek.kit.edu
Abstract Electric Resistance Welding (ERW) is a group of fully automated manufacturing
processes that join metal materials through heat, which is generated due to electric current …