Kadir Sabanci

Kadir Sabanci
Karamanoglu Mehmetbey Üniversitesi

PhD

About

107
Publications
38,035
Reads
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1,049
Citations
Citations since 2016
103 Research Items
1046 Citations
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20162017201820192020202120220100200300400500
20162017201820192020202120220100200300400500

Publications

Publications (107)
Article
Full-text available
Among the leading causes of mortality and morbidity in people are lung and colon cancers. They may develop concurrently in organs and negatively impact human life. If cancer is not diagnosed in its early stages, there is a great likelihood that it will spread to the two organs. The histopathological detection of such malignancies is one of the most...
Article
Full-text available
Artificial-intelligence-based analysis methods can provide objective and accurate results. This study aimed to evaluate the performance of machine learning algorithms to classify yeast-in-oculated and uninoculated tomato samples using fluorescent spectroscopic data. For this purpose, three different tomato types were used: 'local dwarf', 'Picador',...
Article
Full-text available
The objective of this study was to evaluate differences between the red onion cultivar and breeding line using models based on selected fluorescence spectroscopic data built using machine-learning algorithms from different groups of Trees, Functions, Bayes, Meta, Rules, and Lazy. The combination of fluorescence spectroscopy and machine learning is...
Article
Full-text available
Although the pits of cherries, which are often consumed as fruits, jams and fruit juices, are generally used as waste, these pits contain beneficial components such as oil, protein, crude fibers, vitamins, minerals, etc. In this context, the determination of pits according to cultivars is important in the food industry since pits with different cul...
Article
Full-text available
Food processing allows for maintaining the quality of perishable products and extending their shelf life. Nondestructive procedures combining image analysis and machine learning can be used to control the quality of processed foods. This study was aimed at developing an innova-tive approach to distinguishing fresh and lacto-fermented red bell peppe...
Article
Full-text available
Workplace accidents can cause a catastrophic loss to the company including human injuries and fatalities. Occupational injury reports may provide a detailed description of how the incidents occurred. Thus, the narrative is a useful information to extract, classify and analyze occupational injury. This study provides a systematic review of text mini...
Conference Paper
Full-text available
The research was carried out to compare the effectiveness of models built using deep learning and traditional machine learning algorithms to distinguish between Fusarium-infected and healthy wheat kernels. The wheat grain was obtained from a farm located in northeastern Poland. Four hundred and forty naturally infected kernels and four hundred and...
Conference Paper
Full-text available
Food preservation is used to maintain the quality of perishable fruit and vegetables. There is a need to process raw materials to extend their shelf life. However, the quality of processed foods should be controlled. The aim of the research was to develop discriminative models to evaluate changes in the structure of bell pepper flesh as a result of...
Article
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In the case of cucumber, postharvest challenges may focus on preserving the high quality and extending the shelf-life of the fruit. Digital image analysis provides objective information about the quality of food products and the changes in their properties as a result of postharvest processing. This study aimed to develop discriminative models for...
Article
Full-text available
Image analysis can provide reproducible, objective and accurate results using a non-destructive, inexpensive procedure. The aim of this study was to evaluate the usefulness of the textures calculated from images of the flesh and skin of tomato fruit for cultivar discrimination. The color images of six tomato cultivars were acquired for whole peeled...
Article
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Determining the variety of wheat is important to know the physical and chemical properties which may be useful in grain processing. It also affects the price of wheat in the food industry. In this study, a Convolutional Neural Network (CNN)-based model was proposed to determine wheat varieties. Images of four different piles of wheat, two of which...
Article
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The objective of this study was to compare the usefulness of machine learning algorithms for distinguishing the potato lines and varieties based on selected fluorescence spectroscopic data. The potato tubers belonging to two breeding lines S 617 and S 716 and two varieties Trezor and Sante were examined. The discrimination analysis was performed us...
Article
Full-text available
The objective of this study was to compare the slice image features of cucumbers preserved in different ways and fresh cucumbers. The models for discrimination of spontaneous lacto-fermented, pickled using a vinegar solution and fresh cucumber slices were built based on selected textures extracted from digital images converted to color channels L,...
Article
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Coronavirus disease (COVID-19), which affects the whole world, continues to spread. This disease has infected and killed millions of people worldwide. To limit the rate of spread of the disease, early detection should be provided and then the infected person should be quarantined. This paper proposes a Deep Learning-based application for early and...
Article
Accurate classification of wheat varieties has a large economic market in the world is enabled both high income in the market and the development of new fertile hybrids for changing weather conditions due to global warming. In this study, instead of using the conventional classification method, we extracted color features of the 1400 durum wheat gr...
Article
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The seeds of high quality are very important for the cultivation of the pepper. The required cultivation practices and growing conditions may be affected by the cultivar. Also, the productivity and properties of pepper depend on the cultivar. The selection of appropriate seed cultivars may be necessary for the breeding programs. The cultivar differ...
Article
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The sunn pest–damaged (SPD) wheat grains negatively affect the flour quality and cause yield loss. This study focuses on the detection of SPD wheat grains using deep learning. With the created image acquisition mechanism, healthy and SPD wheat grains are displayed. Image preprocessing steps are applied to the captured raw images, then data augmenta...
Article
Drought stress can affect the yield and quality of cultivated plants. The deficit of water may result in the physiological and anatomical reactions at organ, tissue and cellular levels of the plant species. The objective of this study was to discriminate different onion samples with the use of innovative models based on fluorescence spectroscopic d...
Article
Full-text available
The different cultivars of apricot seeds may differ in their properties. To ensure economical and efficient seed processing, knowledge of the cultivars' composition and physical properties may be necessary. Therefore, the correct identification of the cultivar of the apricot seeds may be very important. The objective of this study was to develop mo...
Article
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Artificial intelligence researchers conducted different studies to reduce the spread of COVID-19. Unlike other studies, this paper isn't for early infection diagnosis, but for preventing the transmission of COVID-19 in social environments. Among the studies on this is regarding social distancing, as this method is proven to prevent COVID-19 to be t...
Conference Paper
Full-text available
In the case of cucumber, postharvest challenges may focus on preserving the high quality and extending the shelf-life. Digital image analysis provides objective information about the quality of food products and the changes in the properties as a result of postharvest processing. This study was aimed at developing discriminative models for distingu...
Article
This study estimates the pose of Unmanned Aerial Vehicle (UAV) through artificial intelligence-based approaches and combines visual-inertial information in a different way than previous studies. For an effective fusion, the inertial data between both frames is normalized after denoising with the Savitzky-Golay technique and finally converted from n...
Article
Full-text available
The aim of this study was to build the discriminative models for distinguishing the different cultivars of flesh of pumpkin 'Bambino', 'Butternut', 'Uchiki Kuri' and 'Orange' based on selected textures of the outer surface of images of cubes. The novelty of research involved the use of about 2000 different textures for one image. The highest total...
Article
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Plum fruit and kernels offer bioactive material for industrial production. The promising procedure for distinguishing plum kernel cultivars used in this study comprised two stages: image analysis to compute the texture parameters of plum kernels belonging to three cultivars ‘Emper’, ‘Kalipso’, and ‘Polinka’, and discriminant analysis using machine...
Data
Citation Request : Koklu, M., Unlersen, M. F., Ozkan, I. A., Aslan, M. F., & Sabanci, K. (2022). A CNN-SVM study based on selected deep features for grapevine leaves classification. Measurement, 188, 110425. Doi:https://doi.org/10.1016/j.measurement.2021.110425 Link: https://doi.org/10.1016/j.measurement.2021.110425 https://www.kaggle.com/mkoklu4...
Article
Full-text available
The increasing world population makes it necessary to fight challenges such as climate change and to realize production efficiently and quickly. However, the minimum cost, maximum income, environmental pollution protection and the ability to save water and energy are all factors that should be taken into account in this process. The use of informat...
Article
The coronavirus outbreak 2019, called COVID-19, which originated in Wuhan, negatively affected the lives of millions of people and many people died from this infection. To prevent the spread of the disease, which is still in effect, various restriction decisions have been taken all over the world. In addition, the number of COVID-19 tests has been...
Article
Full-text available
The main product of grapevines is grapes that are consumed fresh or processed. In addition, grapevine leaves are harvested once a year as a by-product. The species of grapevine leaves are important in terms of price and taste. In this study, deep learning-based classification is conducted by using images of grapevine leaves. For this purpose, image...
Article
Full-text available
This study was aimed at evaluating the effect of freeze-drying and lacto-fermentation on the texture parameters of images and sensory attributes of beetroots. The samples were imaged using a flatbed scanner, and textures from images converted to color channels L, a, b, R, G, B, X, Y, Z were computed. The discrimination of raw and processed beetroot...
Article
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The aim of this study was to develop models based on linear dimensions or shape factors, and the sets of combined linear dimensions and shape factors for discrimination of sour cherry pits of different cultivars (‘Debreceni botermo’, ‘Łutówka’, ‘Nefris’, ‘Kelleris’). The geometric parameters were calculated using image processing. The pits of diffe...
Article
Microalgae are single-celled organisms that have been extensively utilized in biotechnology, pharmacology and foodstuff in recent years. The description and classification of many existing microalgae groups are carried out with classical methods in a long time and with a remarkably qualified labor force. Deep learning methods have achieved success...
Article
Temperature rise and thermal management in power electronic circuits is a very important issue both electrically and in terms of more compact circuit design. Considering the non-linear temperature rise in the power switches, it is necessary to accurately estimate the temperature rise before the circuit can be experimentally executed. In this study,...
Conference Paper
The apricots belonging to four cultivars were sampled from the orchard located in central Poland. The seeds were extracted manually from apricot stones. The digital color images of fifty seeds for each cultivar were acquired using a flatbed scanner. Image processing was performed using the MaZda application (Łódź University of Technology, Institute...
Article
Inverter circuits are widely used in power electronics applications such as electric motor control, induction heating or different Alternating Current (AC) loads. The control signal applied to the switching elements can affect the quality of the sinusoidal signal that occurs at the output of the inverter circuit by the means of voltage and current...
Conference Paper
Breast cancer has a high mortality rate worldwide. Early diagnosis is of great importance to reduce this rate. Early diagnosis ensures that patients receive appropriate treatment as soon as possible. Early diagnosis can be achieved by automatic classification through computerized systems. This study aims to detect breast cancer using frequently use...
Chapter
Autonomous mobile robots, an important research topic today, are often developed for smart industrial environments where they interact with humans. For autonomous movement of a mobile robot in an unknown environment, mobile robots must solve three main problems; localization, mapping and path planning. Robust path planning depends on successful loc...
Article
Full-text available
The aim of this study was to develop discriminative models for distinguishing different cultivars of whole sweet cherries based on the texture parameters determined using image analysis. The whole fruit images of “Büttner's Red,” “Kordia,” and “Lapins” were acquired using a digital camera. The discriminative models were built for textures selected...
Article
The aim of this study is to effectively evaluate numerical data, which are frequently encountered in the medical field, with popular deep learning-based Convolutional Neural Network (CNN) models. Heart failure is a common disease worldwide and it is very important to identify patients with a high survival rate and whose condition will deteriorate....
Article
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Recently, with the developing environmental awareness, electric vehicles are increasing even more. For this reason, different searches have emerged to solve the problems related to meeting the energy needs of electric vehicles and charging their batteries quickly and reliably. One of these ideas is wireless power transfer (WPT) battery charging sys...
Article
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Rye translocation is a significant genetic resource used in the development of drought-tolerant wheat varieties. The effects of vernalization genes on root angles in the reciprocal recombinant inbred population carrying rye translocation were investigated in the study. Three hundred and five bread wheat lines obtained from reciprocal recombinant in...
Article
In this study, in order to determine the dynamic response of a four-pole permanent magnet three-phase brushless DC (BLDC) motor, parametric simulation studies are carried out with finite element analysis Rmxprt software depending on three specific input variables (excitation voltage, pulse width, and motor power). The rotor speed is defined as the...
Article
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Some improvements are needed in spraying with orchard sprayers. During the spraying process, it is also applied in the spaces between trees of cases where the tree spacing is high. For this reason, extra pesticides are consumed and harmful substances are added to the soil. Thus, the production costs increase and efficiency decreases, and also pesti...
Article
Background Wheat, which is an essential nutrient, is an important food source for human beings because it is used in flour and feed production. As in many nutrients, wheat plays an important role in macaroni and bread production. The types of wheat used for both foods are different, namely bread and durum wheat. A strong separation of these two whe...
Article
Full-text available
The vortex means the mass of air or water that spins around very fast that often faced in the agriculture irrigation systems used the pump. The undesired effects like loss of hydraulic performance, erosion, vibration and noise may occur because of the vortex in pump systems. It is important to detect and prevent vortex for the economic life and eff...
Article
Coronavirus disease 2019 (COVID-2019), which emerged in Wuhan, China in 2019 and has spread rapidly all over the world since the beginning of 2020, has infected millions of people and caused many deaths. For this pandemic, which is still in effect, mobilization has started all over the world, and various restrictions and precautions have been taken...
Article
Full-text available
In this study, a test device is developed to measure the capacities and performances of high capacity battery banks and to detect broken cells. Batteries lose their performance over time due to their chemical properties, storage and usage conditions, production technologies. Some batteries may even become completely unusable long before the promise...
Article
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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. Wheat is generally milled into flour prior to use in the bakery industry. Flour yield is one of the major quality criteria in wheat milling. Flour yield determination requires...
Article
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Human activity recognition (HAR) has quite a wide range of applications. Due to its widespread use, new studies have been developed to improve the HAR performance. In this study, HAR is carried out using the commonly preferred KTH and Weizmann dataset, as well as a dataset which we created. Speeded up robust features (SURF) are used to extract feat...
Article
In this study, Artificial Neural Networks, Extreme Machine Learning and Support Vector Machine (SVM) are used to estimate power consumption of Brushless DC motor in Unmanned Aerial Vehicle (UAV). Durafly 3648 Brushless DC motor of UAV is modelled with the Finite Element Analysis software. Then it is simulated with Ansys-Rmxprt according to pulse de...
Article
Full-text available
DC-DC converter circuits are topologies commonly used in power electronics applications such as renewable energy sources, electric vehicles, uninterruptible power supplies and DC transmission systems. The most important factors affecting efficiency and thus performance is the choice of the power semiconductor switching element as well as the circui...
Article
Applications in the Human Machine Interaction (HMI) field are increasing since people and robots share the same environment and perform activities together. Therefore, robust detection and strong tracking methods are required. This study is about human detection and tracking. For detection, two different approaches, Histogram of Oriented Gradients...
Article
In this study, a mathematical expression is derived to calculate the ripple value of the output voltage of 2-phase interleaved cascaded boost converter (ICBC) circuits. In this context, the total number of 432 data of ICBC circuit including four parameters (switching frequency, duty ratio, coupling coefficient and the output voltage ripple) are acq...
Article
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Image denoising is the detection and removal of outliers in a image. A measured analog signal is affected by both the device from which the measurement is performed and the noise from the environment. Various types of noise are available. With the developed noise reduction methods, it is tried to eliminate the existing noise. In this study, Bandele...
Article
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Medical imaging plays an important role in the diagnosis and treatment of different diseases. Images with more details are obtained by image fusion for more accurate analysis of medical images. In this study, Computed Tomography (CT) and Magnetic Resonance (MR) images of the liver from The Cancer Genome Atlas Liver Hepatocellular Carcinoma (TCGA-LI...
Article
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Wireless power transmission (WPT) systems of small power levels used in the medical and communications sectors have been developed in recent years for tens of kW power levels for charging stations of electric vehicles. In wireless charging systems, power transfer is provided by magnetic coupling using coreless transformers, and in these systems, po...
Article
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A noiseless image is desirable for many applications. However, this is not possible. Generally, wavelet-based methods are used to noise reduction. However, due to insufficient performance of wavelet transforms (WT) on images, different multi-resolution analysis methods have been proposed. In this study, one of them is Contourlet Transform (CT) and...
Article
Background: In this study, artificial intelligence models that identifies sunn pest damaged wheat grains (SDG) and healthy wheat grains (HWG) are presented. Svevo durum wheat cultivated from Konya area are used for the process. 150 HWG and 150 SDG are used for classification. Thanks to the constructed imaging setup, the photos of 300 wheat grains...
Article
In recent years, electrical power transmission has been intensified by the use of wireless power transfer (WPT). In this study, a new mathematical expression that calculates the efficiency of the charging process for a single phase coreless transformer and the inductive power transmission circuit that can be used in the wireless charging station of...
Conference Paper
Full-text available
Thanks to the recent developments in technology, many methods in artificial neural networks and image processing were developed for the diagnosis of the disease by using computers with fast processors. Early detection in cancer may have a positive effect on the development of the cancer cells. Fast and accurate detections can be achieved with the h...
Article
Full-text available
Meteorological events have become an indispensable part of our daily life. The estimation/analysis of the meteorological data helps us to put our daily work on the track. Thanks to weather forecasts made by meteorological stations, we take precautions in many areas of our lives and prevent weather events from adversely affecting our lives. In this...
Article
Purpose In this study, human activity with finite and specific ranking is modeled with finite state machine, and an application for human–robot interaction was realized. A robot arm was designed that makes specific movements. The purpose of this paper is to create a language associated to a complex task, which was then used to teach individuals by...
Conference Paper
Full-text available
The popularity of electric vehicles is increasing all over the world because of limited fossil fuels in nature, zero harmful gas emissions briefly it's eco-friendly constructions. Researchers and scientists focus on the improvements and innovations in terms of designs in the production phase and the safety of necessity charging tools. In this conte...
Conference Paper
Full-text available
DC-DC converter circuits are topologies commonly used in power electronics applications such as renewable energy sources, electric vehicles, uninterruptible power supplies and DC transmission systems. The most important factors affecting efficiency and thus performance is the choice of the power semiconductor switching element as well as the circui...
Article
Full-text available
This article deals with the analysis of T‐shaped patch antennas (TPAs) that operates between 1 and 7 GHz at triple‐band characteristics. A TPA is composed of three monopole structures so that it has triple‐resonant frequency. Neurocomputational (NC) models eliminate the complex procedures for the analysis of patch antennas with irregular shapes. In...
Article
Full-text available
Millimeter-wave synthetic aperture radar (SAR) implementations need many sampling points that means huge data collection and long processing time. Owing to compressed sensing, SAR data can be easily reconstructed with fewer random samples than Shannon/Nyquist criteria. The most used sampling strategy is to select samples from all spatial-frequency...