Emrullah Sonuç

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Verified

Emrullah verified their affiliation via an institutional email.

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• Ph.D.
• Research Associate at University of Nottingham

Alzheimer’s disease (AD) is a progressive neurological disorder characterized by cognitive decline due to brain cell death, typically manifesting later in life.Early and accurate detection is critical for effective disease management and treatment. This study proposes an ensemble learning framework that combines five deep learning architectures (VG...

Alzheimer’s disease (AD) is a significant challenge in modern healthcare, with early detection and accurate staging remaining critical priorities for effective intervention. While Deep Learning (DL) approaches have shown promise in AD diagnosis, existing methods often struggle with the issues of precision, interpretability, and class imbalance. Thi...

This paper presents a Parallel Late Acceptance Hill-Climbing (PLAHC) algorithm for solving binary-encoded optimization problems, with a focus on the Uncapacitated Facility Location Problem (UFLP) and the Maximum Cut Problem (MCP). The experimental results on various benchmark problem instances demonstrate that PLAHC significantly improves upon the...

The Uncapacitated Facility Location Problem (UFLP), a well-known NP-hard combinatorial optimization problem, aims to minimize the costs associated with opening facilities and servicing customers. This study proposes a hybrid metaheuristic algorithm integrating Genetic Algorithm (GA) and Simulated Annealing (SA) to address UFLP. The proposed approac...

The Weapon-Target Assignment (WTA) problem, a well-known NP-hard problem in military operations research, represents a complex combinatorial optimization scenario requiring the optimal allocation of weapons to targets while maximizing operational effectiveness. This study presents a novel hybrid optimization algorithm that integrates Ant Colony Opt...

In today's dynamic and competitive business environment, optimizing uncapacitated facility location decisions is a critical factor in minimizing logistical costs, enhancing customer satisfaction, and maintaining a competitive edge. Traditional deterministic models, while foundational, often fail to adequately address the inherent complexities and u...

The quadratic assignment problem (QAP) is the problem of assigning facilities to locations such that each facility is assigned to a precise location and each location is assigned to a precise facility to decrease the overall cost expressed as the sum of flow and distance products. QAP is used to increase efficiency and reduce costs in various areas...

this study addresses the 0-1 Knapsack Problem (KP), a classic variant of knapsack problems, using the Simulated Annealing (SA) algorithm. The 0-1 KP, an NP-hard problem, involves selecting items with given weights and values to maximize total value without exceeding a capacity of knapsack. SA's analogy to the annealing process of metals allows it t...

The diagnosis of diabetes, a prevalent global health condition, is crucial for preventing severe complications. In recent years, there has been a growing effort to develop intelligent diagnostic systems for diabetes utilizing machine learning (ML) algorithms. Despite these efforts, achieving high accuracy rates using such systems remains a signific...

Okul öncesi çocukların en yaygın hastalığı, özellikle gelişmekte olan ülkelerde, anemi olarakbilinmektedir. Anemi genellikle kötü beslenme ile ilişkili olup, demografik ve sosyal faktörlerle deyakından ilişkilidir. Önceki çalışmalarda, çocuklardaki anemi hastalığını tahmin etmek ve ilişkili faktörleribelirlemek için istatistiksel yöntemler kullanıl...

Metaheuristics, providing high level guidelines for heuristic optimisation, have successfully been applied to many complex problems over the past decades. However, their performances often vary depending on the choice of the initial settings for their parameters and operators along with the characteristics of the given problem instance handled. Hen...

Anemia is the most common disease among children under school age, especially in developing countries, due to a lack of understanding about its causes and preventive measures. In most cases, anemia refers to malnutrition and is closely related to demographic and social factors. Previously, statistical methods were used to predict anemia among child...

Radyografiden kemik yaşının belirlenmesi, çocuk gelişimi ve adli tıpta önemlidir. Kemik yaşı tayini genellikle Greulich ve Pyle (G&P) yöntemi veya Tanner-Whitehouse (TW) yöntemi kullanılarak sol elin radyolojik muayenesi ile yapılmaktadır. Gözlemsel eşleşmelere dayalı sonuçlar üreten bu yöntemler, radyologların farklı sonuçlar üretmesini engelleyem...

The crow search algorithm (CSA) is a recently proposed population-based optimization algorithm for continuous optimization. Since the original CSA searches for a feasible solution in a continuous search space, it cannot handle binary optimization problems directly. A few binary variants of CSA are presented in the literature. However, these variant...

With the vast amount of data and information difficult to deal with, especially in the health system, machine learning algorithms and data mining techniques have an important role in dealing with data. In our study, we used machine learning algorithms with thyroid disease. The goal of this study is to categorize thyroid disease into three categorie...

The Weapon-Target Assignment (WTA) problem is one of the most important optimization problems in military operation research. In the WTA problem, assets of defense aim the best assignment of each weapon to target for decreasing expected damage directed by the offense. In this paper, Modified Crow Search Algorithm (MCSA) is proposed to solve the WTA...

GPU hardware and CUDA architecture provide a powerful platform to develop parallel algorithms. Implementation of heuristic and metaheuristic algorithms on GPUs are limited in literature. Nowadays developing parallel algorithms on GPU becomes very important. In this paper, NP-Hard Quadratic Assignment Problem (QAP) that is one of the combinatorial o...

Linear Ordering Problem is an NP-hard combinatorial optimization problem. S everal metaheuristic algorithms (Tabu S earch, Memetic Algorithm, Variable Neighborhood S earch, S imulated Annealing, S catter S earch, Greedy randomized adaptive search procedure) present for the linear ordering problem in literature for finding high quality solutions. Th...

CUDA is a powerful platform and has a high compute capability for developing parallel algorithms. Several parallel heuristic methods on GPUs for combinatorial optimization problems have been studied in the literature. In this paper, 0/1 Knapsack Problem that is one of the most studied combinatorial optimization problem is discussed. An effective si...

We present a validation study for a 50-km resolution version of the RegCM4 regional climate model over the East Mediterranean Basin. In this study, the observation and evaluation of the model results against each other as well as graphication, which mostly generates scatter plot graphs of the atmosphere for operational weather forecasting models (N...

Bu bildiride Karabük Üniversitesi Mühendislik Fakültesi’nde kullanılmak üzere hazırlanmış olan akademik özgeçmiş tabanlı fakülte bilgi sisteminin tasarlanması üzerinde çalışılmıştır. Çalışmada fakülte ve bölüm sitelerinin dinamik olarak hazırlanması; ilgili verilerin, akademik personel bilgilerinin tek bir veritabanında toplanarak saklanması ve ayr...

Günümüzde mobil cihazlar başlangıçtaki kullanım amacı olan cep telefonluğu görevini aşmış ve birer bilgisayar görevini üstelenerek, akıllı cep telefonu olarak kullanılmaya başlanmıştır. Android işletim sistemi ise mobil cihazlara yönelik geliştirilmiş ve günümüzde mobil cihazlar üzerinde en yaygın kullanıma sahip mobil işletim sistemlerinden biridi...

The verification system aims at monitoring the forecast quality over time. Verification helps improving the forecast quality by knowing the strengths and weaknesses of the existing forecasting system and by comparing the quality of different forecasting methodologies. Thus, the web-based verification system has been developed for verification of fo...

In universities' distance education centers, LMS and Student Information Systems (SIS) are discrete systems. Generally enrollment is performed on SIS; with student authentication, selection and supervisor confirmation. It has been a problem to move enrollments from SIS side to LMS side. The basic way is to perform the enrollment by hand. But amount...