Road scanner: A road state scanning approach based on machine learning techniques

A Mihoub, M Krichen, M Alswailim, S Mahfoudhi… - Applied Sciences, 2023 - mdpi.com
The state of roads may sometimes be difficult to perceive due to intense climate conditions,
absence of road signs, or simply human inattention, which may be harmful to both vehicles …

Efficient feature-selection-based stacking model for stress detection based on chest electrodermal activity

A Almadhor, GA Sampedro, M Abisado, S Abbas - Sensors, 2023 - mdpi.com
Contemporary advancements in wearable equipment have generated interest in
continuously observing stress utilizing various physiological indicators. Early stress …

An ensemble framework for patent classification

E Kamateri, M Salampasis, K Diamantaras - World Patent Information, 2023 - Elsevier
An important task when a patent application arrives at a patent office is to assign one or
more classification codes. This manual, intellectually demanding task needs to be supported …

[HTML][HTML] Application of ensemble RNN deep neural network to the fall detection through IoT environment

M Farsi - Alexandria Engineering Journal, 2021 - Elsevier
The emerging of new models in machine learning enhances the performance of algorithms
proposed to address several challenging tasks such as object recognition, classification and …

Exploring Hyper-Parameters and Feature Selection for Predicting Non-Communicable Chronic Disease Using Stacking Classifier

P Yadav, SC Sharma, R Mahadeva, SP Patole - IEEE Access, 2023 - ieeexplore.ieee.org
Non-communicable disease, especially chronic disease, is the most common factor of
complication of deteriorating physical health and the state of one's mind. It is also a …

Discrimination of Gentiana and Its Related Species Using IR Spectroscopy Combined with Feature Selection and Stacked Generalization

T Shen, H Yu, YZ Wang - Molecules, 2020 - mdpi.com
Gentiana, which is one of the largest genera of Gentianoideae, most of which had potential
pharmaceutical value, and applied to local traditional medical treatment. Because of the …

PreAcrs: a machine learning framework for identifying anti-CRISPR proteins

L Zhu, X Wang, F Li, J Song - BMC bioinformatics, 2022 - Springer
Background Anti-CRISPR proteins are potent modulators that inhibit the CRISPR-Cas
immunity system and have huge potential in gene editing and gene therapy as a genome …

Customer churn prediction using a novel meta-classifier: an investigation on transaction, Telecommunication and customer churn datasets

F Ehsani, M Hosseini - Journal of Combinatorial Optimization, 2024 - Springer
With the advancement of electronic service platforms, customers exhibit various purchasing
behaviors. Given the extensive array of options and minimal exit barriers, customer …

Optimized Fake News Classification: Leveraging Ensembles Learning and Parameter Tuning in Machine and Deep Learning Methods

AA Alguttar, OA Shaaban, R Yildirim - Applied Artificial Intelligence, 2024 - Taylor & Francis
The proliferation of misinformation across various domains necessitates robust detection
mechanisms. With its ability to analyze vast datasets, machine learning emerges as a …

A stacked generalization chest-X-ray-based framework for mispositioned medical tubes and catheters detection

A Elaanba, M Ridouani, L Hassouni - Biomedical Signal Processing and …, 2023 - Elsevier
Tubes and catheters are medical devices introduced into the human body to help ill patients
in critical health conditions. However, several positioning errors occur during or after the …