Beef quality classification with reduced e-nose data features according to beef cut types

A Feyzioglu, YS Taspinar - Sensors, 2023 - mdpi.com
Ensuring safe food supplies has recently become a serious problem all over the world.
Controlling the quality, spoilage, and standing time for products with a short shelf life is a …

Distracted driving detection with machine learning methods by cnn based feature extraction

SKS Al-doorı, YS Taspınar, M Koklu - International Journal of …, 2021 - dergipark.org.tr
Millions of people lose their lives due to accidents caused by various reasons. As the
number of vehicles increases, the number of accidents also increases. When driver errors …

Determination of wheat types using optimized extreme learning machine with metaheuristic algorithms

M Dogan, IA Ozkan - Neural Computing and Applications, 2023 - Springer
In order to increase the market value and quality of wheat, it is important to separate different
types and determine the amount of foreign matter using the visual properties of durum and …

Identification of impurity in wheat mass based on video processing using artificial neural network and PSO algorithm

S AgaAzizi, M Rasekh… - Journal of Food …, 2021 - Wiley Online Library
The presence of weed seeds and other impurities in the wheat grains affect the identification
quality of the wheat grains. This study explores the possibility of identifying the wheat in the …

[PDF][PDF] Different wheat species classifier application of ANN and ELM

MF Aslan, K Sabanci, A Durdu - Journal of Multidisciplinary …, 2017 - researchgate.net
Wheat is the most important food source around worldwide. Classification of wheat is very
important in terms of quality, health and cost. In this study, classification of three different …

[PDF][PDF] A comparative classification of wheat grains for artificial neural network and extreme learning machine

MF Aslan, K Sabancı, E Yiğit, A Kayabaşı… - International Journal …, 2017 - dergipark.org.tr
In this study, classification of two types of wheat grains into bread and durum was carried
out. The species of wheat grains in this dataset are bread and durum and these species …

The Implementation of Probabilistic Neural Network Algorithm for Classification of Family Hope Program in Pekanbaru City

R Novita, Q Anzir, N Alhidayatillah - Journal of Physics …, 2021 - iopscience.iop.org
The poverty rate in Indonesia continues to increase, especially in Pekanbaru city. It was
recorded in 2017 the poverty in Pekanbaru City reached 176.908 inhabitants. The poverty …

Determination of the Classification Success of KNN Algorithm Distance Metric Methods on Wheat Seeds Dataset

A Çelik - Afyon Kocatepe Üniversitesi Fen Ve Mühendislik …, 2023 - dergipark.org.tr
Öz Makine öğrenmesi algoritmaları, gıda sektöründe ürün sınıflandırma işlemlerinde yaygın
olarak kullanılmaktadır. Sınıflandırma işleminde ürünlerin öznitelikleri kullanılmaktadır …

Identification of Wheat and Foreign Matter Using Artificial Neural Network and Genetic Algorithm

N Julka, AP Singh - Applications of Artificial Intelligence and Machine …, 2022 - Springer
One of the major issues with wheat grains is the presence of foreign matter in the same,
which significantly reduces the quality and marketability of the product. Traditional methods …

[PDF][PDF] INTELLIGENT SYSTEMS AND APPLICATIONS IN ENGINEERING

K Sabanci, N Aydin, A Sayaslan, ME Sonmez… - academia.edu
Wheat is a basic food raw material for the majority of people around the world as wheat-
based products provide an important part of the daily energy intake in many countries …