Balanced k-star: An explainable machine learning method for internet-of-things-enabled predictive maintenance in manufacturing

B Ghasemkhani, O Aktas, D Birant - Machines, 2023 - mdpi.com
Predictive maintenance (PdM) combines the Internet of Things (IoT) technologies with
machine learning (ML) to predict probable failures, which leads to the necessity of …

Boosting of fruit choices using machine learning-based pomological recommendation system

M Dutta, D Gupta, S Juneja, A Shah, A Shaikh… - SN Applied …, 2023 - Springer
Pomology, also known as fruticulture, is a significant contributor to the economies of many
nations worldwide. While vertical farming methods are not well-suited for fruit cultivation …

Diversity of plum stones based on image texture parameters and machine learning algorithms

E Ropelewska - Agronomy, 2022 - mdpi.com
The objective of this study was to evaluate the usefulness of machine learning based on
image texture parameters to discriminate plum stone cultivars. The plums of cultivars …

Apricot stone classification using image analysis and machine learning

E Ropelewska, AM Rady, NJ Watson - Sustainability, 2023 - mdpi.com
Apricot stones have high commercial value and can be used for manufacturing functional
foods, cosmetic products, active carbon, and biodiesel. The optimal processing of the stones …

BiMAE-A Bimodal Masked Autoencoder Architecture for Single-Label Hyperspectral Image Classification

M Kukushkin, M Bogdan… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Hyperspectral imaging offers manifold opportunities for applications that may not or only
partially be achieved within the visual spectrum. Our paper presents a novel approach for …

[HTML][HTML] Non-Destructive Monitoring of Sweet Pepper Samples After Selected Periods of Lacto-Fermentation

E Ropelewska, J Szwejda-Grzybowska, A Wrzodak… - Agriculture, 2024 - mdpi.com
Fermented food is characterized by positive health-promoting properties. The objective of
this study was to distinguish and assess the changes in the flesh structure of sweet bell …

Semi-supervised K-Star (SSS): A machine learning method with a novel holo-training approach

KU Birant - Entropy, 2023 - mdpi.com
As one of the entropy-based methods, the k-Star algorithm benefits from information theory
in computing the distances between data instances during the classification task. k-Star is a …

Rapid detection of changes in image textures of carrots caused by freeze-drying using image processing techniques and machine learning algorithms

E Ropelewska, K Sabanci, MF Aslan, N Çetin - Sustainability, 2023 - mdpi.com
The objective of this study was to evaluate the differences in texture parameters between
freeze-dried and fresh carrot slices using image processing and artificial intelligence …

BiCAE–A Bimodal Convolutional Autoencoder for Seed Purity Testing

M Kukushkin, M Bogdan, T Schmid - Joint European Conference on …, 2024 - Springer
In the seed-producing industry, accurate assessment of harvested seeds for technical purity
is a necessary, yet time-consuming and labor-intensive task. Automating this task holds …

Recognition performance of different artificial neural networks for distinguishing banana slices subjected to different combinations of pretreatment and microwave …

N Çetin, E Ropelewska, Y Noutfia, S Günaydın - Food Control, 2024 - Elsevier
This study was aimed at assessing the effect of microwave drying at 100, 200, or 300 W on
the quality of Cavendish banana slices without pretreatment and with pretreatment using 5 …