AI-based modeling and monitoring techniques for future intelligent elastic optical networks

X Liu, H Lun, M Fu, Y Fan, L Yi, W Hu, Q Zhuge - Applied Sciences, 2020 - mdpi.com
With the development of 5G technology, high definition video and internet of things, the
capacity demand for optical networks has been increasing dramatically. To fulfill the capacity …

Molecular-based artificial neural network for predicting the electrical conductivity of deep eutectic solvents

A Boublia, T Lemaoui, FA Hatab, AS Darwish… - Journal of Molecular …, 2022 - Elsevier
Due to their unique features, deep eutectic solvents (DESs) are well-known as promising
and environmentally friendly solvents. Their use in various processes has recently become …

Automated operational modal analysis using variational Gaussian mixture model

J Zeng, Z Hu - Engineering Structures, 2022 - Elsevier
Automated operational modal analysis is essential for online structural health monitoring
without human intervention. It remains a challenging issue due to the need of processing a …

Comparison of wrapper and filter feature selection algorithms on human activity recognition

J Suto, S Oniga, PP Sitar - 2016 6th international conference on …, 2016 - ieeexplore.ieee.org
Feature selection is an increasingly important part of machine learning. The purpose of
feature selection is dimension reduction in a large multi-dimensional data set and it can be …

Machine learning-based zero-velocity detection for inertial pedestrian navigation

Y Kone, N Zhu, V Renaudin, M Ortiz - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Zero velocity update is a common and efficient approach to bound the accumulated error
growth for foot-mounted inertial navigation system. Thus a robust zero velocity detector …

Process Mining for Unstructured Data: Challenges and Research Directions

A Koschmider, M Aleknonytė-Resch, F Fonger… - arXiv preprint arXiv …, 2023 - arxiv.org
The application of process mining for unstructured data might significantly elevate novel
insights into disciplines where unstructured data is a common data format. To efficiently …

An integrated machine learning: Utility theory framework for real-time predictive maintenance in pumping systems

RM Khorsheed, OF Beyca - Proceedings of the Institution of …, 2021 - journals.sagepub.com
Bearings are the most widely used mechanical parts in rotating machinery under high load
and high rotational speeds. Operating continuously under such harsh conditions, wear and …

Масштабирование и нормализация как основа Data Cleaning

ПА Пылов, АВ Протодьяконов - Инновации. Наука. Образование, 2020 - elibrary.ru
Data Cleaning является очень важной технологией в процессе создания алгоритмов
искусственного интеллекта. В этой статье представлены основные методики работы с …

Data Cleaning или краеугольная основа General Artificial Intelligence

ПА Пылов, АВ Протодьяконов - Инновации. Наука. Образование, 2020 - elibrary.ru
Очистка данных (от английского «Data Cleaning»)-это процесс исправления и удаления
неточных записей из базы данных или таблицы. В общем понимании, очистка данных …

Relevance of sex, age and gait kinematics when predicting fall-risk and mortality in older adults

S Porta, A Martínez, N Millor, M Gómez… - Journal of …, 2020 - Elsevier
Approximately one-third of elderly people fall each year with severe consequences,
including death. The aim of this study was to identify the most relevant features to be …