Towards an accelerometer-based elderly fall detection system using cross-disciplinary time series features

MJ Al Nahian, T Ghosh, MH Al Banna, MA Aseeri… - IEEE …, 2021 - ieeexplore.ieee.org
Fall causes trauma or critical injury among the geriatric population which is a second
leading accidental cause of post-injury mortality around the world. It is crucial to keep elderly …

Marketing strategy of rural tourism based on big data and artificial intelligence

D Xie, Y He - Mobile information systems, 2022 - Wiley Online Library
In recent years, with the rapid development of artificial intelligence technology and big data
application and the continuous optimization of algorithms such as deep learning algorithms …

[HTML][HTML] An evolving neuro-fuzzy system based on uni-nullneurons with advanced interpretability capabilities

PV de Campos Souza, E Lughofer - Neurocomputing, 2021 - Elsevier
This paper proposes a hybrid architecture based on neural networks, fuzzy systems, and n-
uninorms for solving pattern classification problems, termed as ENFS-Uni0 (short for …

[HTML][HTML] An interpretable evolving fuzzy neural network based on self-organized direction-aware data partitioning and fuzzy logic neurons

PV de Campos Souza, E Lughofer… - Applied Soft Computing, 2021 - Elsevier
This paper proposes the definition of the architecture of an evolving fuzzy neural network
based on self-organizing direction aware data partitioning through stochastic processes …

Non-contact breathing rate estimation using machine learning with an optimized architecture

J Brieva, H Ponce, E Moya-Albor - Mathematics, 2023 - mdpi.com
The breathing rate monitoring is an important measure in medical applications and daily
physical activities. The contact sensors have shown their effectiveness for breathing …

[HTML][HTML] Transparency: The Missing Link to Boosting AI Transformations in Chemical Engineering

Y Yuan, D Chaffart, T Wu, J Zhu - Engineering, 2024 - Elsevier
The issue of opacity within data-driven artificial intelligence (AI) algorithms has become an
impediment to these algorithms' extensive utilization, especially within sensitive domains …

A pid control algorithm with adaptive tuning using continuous artificial hydrocarbon networks for a two-tank system

J Sánchez-Palma, JL Ordoñez-Ávila - IEEE Access, 2022 - ieeexplore.ieee.org
Owing to their ease of implementation, proportional-integral-derivative (PID) control systems
are widely used to control physical systems. However, when environmental disturbances or …

Estimation of low nutrients in tomato crops through the analysis of leaf images using machine learning

H Ponce, C Cevallos, R Espinosa… - Journal of Artificial …, 2021 - ojs.istp-press.com
Tomato crops are considered the most important agricultural products worldwide. However,
the quality of tomatoes depends mainly on the nutrient levels. Visual inspection is made by …

Capturing causality and bias in human action recognition

K Lai, SN Yanushkevich, V Shmerko, M Hou - Pattern Recognition Letters, 2021 - Elsevier
Human action recognition using various sensors is a mandatory component of autonomous
vehicles, humanoid robots, and ambient living environments. A particular interest is the …

[HTML][HTML] Explainable artificial hydrocarbon networks classifier applied to preeclampsia

H Ponce, L Martínez-Villaseñor, A Martínez-Velasco - Information Sciences, 2024 - Elsevier
Explainability is crucial in domains where system decisions have significant implications for
human trust in black-box models. Lack of understanding regarding how these decisions are …