İrfan Ökten

A Schrödinger and differential evolution framework for PID based liquid level control

Davut İzci, Serdar Ekinci, İrfan Ökten, Vedat Tümen et autres

In this study, a hybrid Schrödinger optimizer with differential evolution (h-SRADE) is proposed for optimal tuning of proportional–integral–derivative (PID) controllers applied to a three-tanks liquid level control system. The original Schrödinger optimizer (SRA), inspired by wave–particle duality and quantum mechanics principles, provides …

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A novel DIO optimized sigmoid-activated 2DOF-PID controller for robust control of magnetic levitation systems

İrfan Ökten

Among the classical testbeds in control engineering, magnetic levitation systems occupy a prominent place owing to their strongly nonlinear character and intrinsic open-loop instability. Stabilizing a freely suspended ferromagnetic object requires careful regulation of the electromagnetic force, which makes these systems particularly …

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A discrete enzyme action optimizer for traveling salesman problems with a smart tourism routing application: a case study in Bitlis, Türkiye

Vedat Tümen, Necmettin Elmastaş, İrfan Ökten, Serdar Ekinci et autres

Efficient route planning is a critical component of smart tourism and destination management, particularly in regions where touristic attractions are geographically dispersed. This study proposes a discrete adaptation of the enzyme action optimizer (EAO), named discrete enzyme action optimizer (D-EAO), to address …

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A novel hyperbolic tangent-augmented controller framework for temperature control in jacketed continuous stirred tank reactors

Davut İzci, Serdar Ekinci, İrfan Ökten, Rıdvan Fırat Çınar et autres

Accurate temperature regulation of jacketed continuous stirred tank reactors (CSTRs) remains a challenging task due to strong nonlinearities, tight coupling between mass and energy balances, and sensitivity to disturbances and operating-point variations. In this study, a novel augmented proportional–integral–derivative (PID) controller incorporating …

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A Biomimetic Gazelle Optimization Approach for Enhanced Temperature Regulation in Electric Furnaces

Davut İzci, Adil Ozcayci, Serdar Ekinci, İrfan Ökten et autres

Accurate temperature regulation is essential for ensuring product quality, operational safety, and energy efficiency in industrial electric furnace systems. However, the inherent thermal inertia, time-delay effects, and nonlinear dynamics of furnace processes often make precise temperature control a challenging task. Motivated by …

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Global-best-guided electric eel foraging optimizer for robust parameter identification of Lorenz and memristive chaotic systems

Davut İzci, Serdar Ekinci, İrfan Ökten, Vedat Tümen et autres

Accurate parameter identification in chaotic dynamical systems constitutes a challenging inverse problem due to extreme sensitivity to initial conditions, pronounced nonlinearity, and highly multimodal error landscapes. To address these challenges, this study proposes a global-best-guided electric eel foraging optimization algorithm (g-EEFO), which …

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A Neural Network-Based Index (nNDVI) for Estimating the Normalized Difference Vegetation Index (NDVI) from Standard RGB Images

İrfan Ökten, Uğur Yüzgeç

An important global research topic is the analysis of the crop status, viability, and disease status of vegetables, fruits, and plants in agricultural areas. The Normalized Vegetation Difference Index (NDVI) is commonly used to analyze these conditions by using near-infrared (NIR) features …

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Fungus Classification Based on CNN Deep Learning Model

Serhat ORAL, İrfan Ökten, Uğur Yüzgeç

Artificial intelligence has been developing day by day and has started to take a more prominent place in human life. As computer technologies advance, research on artificial intelligence has also increased in this direction. One of the main goals of this research …

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Evrişimli Sinir Ağı ile Çeltik Bitkisi Hastalığının Tespiti

İrfan Ökten, Uğur Yüzgeç

Dünya çapında pirinç tüketimi göz önüne alındığında pirincin önemli bir yere sahip olduğu görülür. Çeltik bitkisi, buğdaygiller ailesinden mısır ve buğdaydan sonra en fazla ekimi yapılan bitkidir. Tarım alanındaki son araştırma konularından birisi de, bir bitkinin yaprak görüntülerinden hastalıkların tanınması veya sınıflandırılmasıdır. …

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Rice Plant Disease Detection Using Image Processing and Probabilistic Neural Network

İrfan Ökten, Uğur Yüzgeç

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Investigation of Electric Field Distribution of A Transformer Using Moving Finite Element Method

Mehmet Aytaç Çınar, İrfan Ökten

The one of the commonly used methods for solution of partial differential equations is the finite element method. Solution area for the differential equation to be solved in this method; are divided into a number of sub-regions called simple , small , …

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