Search Results - "Taşdemir, Şakir"
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Almond (Prunus dulcis) varieties classification with genetic designed lightweight CNN architecture
Published in European food research & technology (01-10-2024)“…Almond (Prunus dulcis) is a nutritious food with a rich content. In addition to consuming as food, it is also used for various purposes in sectors such as…”
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Abc-based weighted voting deep ensemble learning model for multiple eye disease detection
Published in Biomedical signal processing and control (01-10-2024)“…[Display omitted] •A novel deep ensemble model named ABCEnsemble is designed.•Fifteen CNN models are tested and best performing three CNN models are…”
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A new hybrid model for classification of corn using morphological properties
Published in European food research & technology (01-03-2023)“…Automated classification of corn is important for corn sorting in intelligent agriculture. Corn classification process is a necessary and accurate process in…”
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Multi-Class brain normality and abnormality diagnosis using modified Faster R-CNN
Published in International journal of medical informatics (Shannon, Ireland) (01-11-2021)“…•A novel ResNet50 modified Faster R-CNN model is designed.•Hemorrhagic, hydrocephalic, and normal brain CT images are classified.•This comprehensive study…”
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Optimization of Electricity Generation Parameters with Microbial Fuel Cell Using the Response Surface Method
Published in Arabian journal for science and engineering (2011) (01-12-2022)“…Due to an ever-increasing population and developments in technology, the demand for energy has been increasing daily. In order to meet this demand, renewable…”
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Histological tissue classification with a novel statistical filter‐based convolutional neural network
Published in Anatomia, histologia, embryologia (01-07-2024)“…Deep networks have been of considerable interest in literature and have enabled the solution of recent real‐world applications. Due to filters that offer…”
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Automated stenosis detection in coronary artery disease using yolov9c: Enhanced efficiency and accuracy in real-time applications
Published in Journal of real-time image processing (01-10-2024)“…Coronary artery disease (CAD) is a prevalent cardiovascular condition and a leading cause of mortality. An accurate and timely diagnosis of CAD is crucial for…”
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ANN approach for estimation of cow weight depending on photogrammetric body dimensions
Published in International Journal of Engineering and Geosciences (IJEG) (01-02-2019)“…Computer technology and software are widely used in every multi-discipline field. Geomatics engineering can be seen as a pioneer of these disciplines…”
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Improving efficiency in convolutional neural networks with 3D image filters
Published in Biomedical signal processing and control (01-04-2022)“…3D Image Filter-Based Convolutional Neural Network for Image Classification. [Display omitted] •A novel 3D image filter-based CNN (Hist3DCNN) is…”
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Application of fuzzy expert system approach on prediction of some quality characteristics of grape juice concentrate (Pekmez) after different heat treatments
Published in Journal of food science and technology (01-08-2011)“…Effects of heat treatment on physicochemical characteristics and sensory properties of different fruit juice concentrates (pekmez) were studied. Apricot pekmez…”
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Chestnut(Castanea Sativa) Varieties Classification with Harris Hawks Optimization based Selected Features and SVM
Published in 2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS) (08-03-2024)“…Chestnut(Castanea sativa) is a nutritious food with a hard outer shell. It is also used in different sectors for various purposes. Chestnut is a commercial…”
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Conference Proceeding -
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A fuzzy rule-based system for predicting the live weight of Holstein cows whose body dimensions were determined by image analysis
Published in Elektrik : Turkish journal of electrical engineering & computer sciences (2011)“…The aim of this study was to determine the body measurement of Holstein cows through image analysis (IA) and to estimate their live weight (LW) by means of a…”
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Design and development of an educational digital game based on mathematics course transformation geometry
Published in International Journal of Applied Mathematics, Electronics and Computers (31-12-2019)“…The digital gaming industry is growing rapidly both economically and in terms of the masses it is influencing. This growth in the sector makes digital games…”
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Detection of malaria diseases with residual attention network
Published in International Journal of Intelligent Systems and Applications in Engineering (IJISAE) (24-12-2019)“…To describe a model using classic machine learning techniques for creating machine learning systems, a person who specializes in this technique needs to…”
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Journal Article -
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A practical approach to android mobile application security
Published in International Journal of Applied Mathematics, Electronics and Computers (27-12-2018)“…In parallel to rapid developments in computer technology, the number of mobile applications developed for the devices also increases. Mobile applications make…”
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Journal Article -
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Empirical Comparisons for Combining Balancing and Feature Selection Strategies for Characterizing Football Players Using FIFA Video Game System
Published in IEEE access (2021)“…The process of modelling individual player performance using machine learning is a mature task in sports analytics. The most significant challenges in machine…”
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Predict the Value of Football Players Using FIFA video game data and Machine Learning Techniques
Published in IEEE access (01-01-2022)“…Football is a popular sport; however, it is a big business as well. From a managerial perspective, the important decisions that team managers make -Concerning…”
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Journal Article -
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Effective Estimation of Hourly Global Solar Radiation Using Machine Learning Algorithms
Published in International journal of photoenergy (2020)“…The precise estimation of solar radiation is of great importance in solar energy applications with respect to installation and capacity. In estimate modelling…”
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Determining of Solar Power by Using Machine Learning Methods in a Specified Region
Published in Tehnički vjesnik (01-10-2021)“…In this study, it is aimed to estimate the solar power according to the hourly meteorological data of the specified location measured between 2002 and 2006 by…”
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