• A New Prediction-Based Algorithm for Dynamic Multi-objective Optimization Problems 

  Karkazan, Kalthoum; Topçuoğlu, Haluk Rahmi; Sahmoud, Shaaban (Springer, 2023)

  The mechanism for reacting to the changes in an environ- ment when detected is the key issue that distinguishes various algorithms proposed for dynamic multi-objective optimization problems (DMOPs). The severity of ...

• Characterizations of Loxodromes on Rotational Surfaces in Euclidean 3–Space 

  Aksoyak, Ferdağ Kahraman; Demirci, Burcu Bektaş; Babaarslan, Murat (Kazım İlarslan, 2023)

  In this paper, we study on the characterizations of loxodromes on the rotational surfaces satisfying some special geometric properties such as having constant Gaussian curvature and a constant ratio of principal curvatures ...

• Deep Learning based Malware Detection for Android Systems: A Comparative Analysis 

  Bayazıt, Esra Çalık; Şahingöz, Özgür Koray; Doğan, Buket (Sveuciliste Josipa Jurja Strossmayera u Osijeku, 2023)

  Nowadays, cyber attackers focus on Android, which is the most popular open-source operating system, as main target by applying some malicious software (malware) to access users' private information, control the device, ...

• Mimicking Bacterial Learning and Memory in Tungsten Based Two-Sided Single Layers of WSeO, WSeS, WSeSe, and WSeTe 

  Turfanda, Aykut; Ünlü, Hilmi (AIP Publishing, 2023)

  We mimic bacterial learning and memory abilities in tungsten based two-sided single layers of WSeO, WSeS, WSeSe, and WSeTe, where the thickness of the material represents the growth in time. We aim to create a quantum ...

• Parallel Molecular Alteration Between Alzheimer’s Disease and Major Depressive Disorder in the Human Brain Dorsolateral Prefrontal Cortex: An İnsight From Gene Expression and Methylation Profile Analyses 

  Rastad, Saber; Barjaste, Nadia; Lanjanian, Hossein; Moein, Ali; Kiani, Farzad; Masoudi-Nejad, Ali (The Genetics Society of Japan, 2023)

  Alzheimer’s disease (AD) and major depressive disorder (MDD) are comorbid neuropsychiatric disorders that are among the leading causes of long-term disability worldwide. Recent research has indicated the existence of ...

• Genelleştirilmiş 1-Tipinden Gauss Tasvirine Sahip Minkowski Uzayının Yarı-Riemann Alt Manifoldları 

  Demirci, Burcu Bektaş (Afyon Kocatepe Üniversitesi, 2022)

  Bu makalede, genelleştirilmiş 1-tipinden Gauss tasvirine sahip Minkowski uzayındaki dönel yüzeyler ve regle alt manifoldları üzerine çalışılmıştır. İlk olarak, ikinci çeşit noktasal 1-tipinden Gauss tasviri ile genelleştirilmiş ...

• The Effects of the Dielectric Substrate Thickness and the Loss Tangent on the Absorption Spectrum: A Comprehensive Study Considering the Resonance Type, the Ground Plane Coupling, and the Characterization Setup 

  Köse, Umut; Ekmekçi, Evren (TÜBİTAK, 2023)

  In this study, the effects of dielectric substrate thickness and the dielectric loss tangent on the absorption spectrum are investigated parametrically in S-band. The study has been conducted on two different absorber ...

• Prediction of the Remaining Useful Life of Engines for Remanufacturing Using a Semi-supervised Deep Learning Model Trained by the Bees Algorithm 

  Zeybek, Sultan (Springer, 2023)

  Smart and sustainable manufacturing is important for enterprises to handle global challenges [1]. Products, systems, and components are reused, remanufactured, and recycled instead of being disposed of in landfills, which ...

• Dynamic Multi-Objective Evolutionary Algorithms in Noisy Environments 

  Sahmoud, Shaaban; Topcuoğlu, Haluk Rahmi (Elsevier, 2023)

  Real-world multi-objective optimization problems encounter different types of uncertainty that may affect the quality of solutions. One common type is the stochastic noise that contaminates the objective functions. Another ...

• A Methodology to Consider Explicitly Emissions in Dynamic User Equilibrium Assignment 

  Silgu, Mehmet Ali; Erdaği, İsmet Göksad; Hülagu, Selin; Akti, Sercan; Akova, Hazal; Akyol, Görkem; Göncü, Sadullah; Göksu, Gökhan; Çelikoğlu, Hilmi Berk (Springer, 2022)

  This work presents a methodology to obtain Dynamic User Equilibrium (DUE) over a road network considering the exhausted gas effect of motorized traffic. On purpose, three emission models are integrated to the traffic ...

• Sensitivity Analysis for a Cooperative Adaptive Cruise Control Car Following Model: Preliminary Findings 

  Göncü, Sadullah; Silgu, Mehmet Ali; Erdaği, İsmet Göksad; Çelikoğlu, Hilmi Berk (Springer, 2022)

  Microscopic traffic simulations are powerful tools to evaluate transportation systems. For a simulation model to represent reality at a satisfactory level, models require calibration. Calibration implies that inputs to ...

• Release Kinetics Modelling and in Vivo-Vitro, Shelf-Life Study of Resveratrol Added Composite Transdermal Scaffolds 

  Çiftçi, Fatih (Elsevier, 2023)

  In this article, the suitability of composite transdermal biomaterial for wound dressing applications is discussed. Bioactive, antioxidant Fucoidan and Chitosan biomaterials were doped into polyvinyl alcohol/β-tricalciu ...

• Novel Surrogate Measures Based on a Similarity Network for Neural Architecture Search 

  Kuş, Zeki; Akkan, Can; Gülcü, Ayla (IEEE, 2023)

  We propose two novel surrogate measures to predict the validation accuracy of the classification produced by a given neural architecture, thus eliminating the need to train it, in order to speed up neural architecture ...

• A Portable Multispectral Vein Imaging System 

  Özkan, Haydar; Aydın, Müberra; Özcan, Osman Alpcan; Zengin, Ümmühan (Slovak Teknoloji Üniversitesi, 2023)

  Phlebotomy may cause unnecessary injuries to a patient whose veins are not easily visible to a healthcare professional. To mitigate this problem we designed a new system to image subcutaneous veins. Multispectral images ...

• Neural Architecture Search Using Metaheuristics for Automated Cell Segmentation 

  Kuş, Zeki; Aydın, Musa; Kiraz, Berna; Can, Burhanettin (Springer, 2023)

  Deep neural networks give successful results for segmentation of medical images. The need for optimizing many hyper-parameters presents itself as a significant limitation hampering the effectiveness of deep neural network ...

• A 3-dB 90 Degrees Microstrip Hybrid Directional Coupler at 2.27 GHz 

  İmeci, Mehmet Yusuf; Tütüncü, Bilal; İmeci, Şehabeddin Taha (Elsevier, 2023)

  A 90◦ hybrid-coupler in the 2.27 GHz range, offering high performance despite its size of 115.64 mm2 (18.36 λg), is introduced. The main factor that distinguishes this proposed design, positively, is that the device ...

• Tahıllar ve Tahıl Koridoru Anlaşması 

  Yılmaz, Fevzi (Nasıl Bir Ekonomi Medya Haber Basın A.Ş., 2023)

  Savaşan iki devlet, Rusya ve Ukrayna, Türkiye’nin girişimi ve BM’nin desteği ile geçen yıl (2022) Tahıl Koridoru Anlaşması imzalamışlar ve küresel gıda krizini önlemişlerdi. 18 Mart 2023'te sonlanacak olan bu anlaşmanın ...

• Malzeme Ayak İzi ve Beton Yıkıntı Atıkları 

  Yılmaz, Fevzi (Nasıl Bir Ekonomi Medya Haber Basın A.Ş., 2023)

  Malzeme ayak izi, mineraller ve fosil yakıtlar dahil her türlü malzeme üretimini, tüketimini, bertaraf edilmesini ve hareketliliğini kapsar. Daniel W. O’Neil ve arkadaşlarının Nature Dergisi’nde yayınladıkları makalede ...

• A Comparison of Different Loss Computations in Siamese Networks for Authorship Verification 

  Gülcü, Ayla; Özkan, İsmail Taha Samed; Karakuş, Osman Furkan (Springer, 2023)

  In this study, we consider the author verification problem as a binary classification problem where the aim is to identify whether the two inputs belong to the same author or not. For this task, we have used several ...

• Effect of Time Step Interval and Time Integration Schemes in Pseudo-Dynamic Analysis 

  Öztürk, Sezer; Doran, Bilge; Aksoylar, Cenk (Elsevier, 2023)

  Pseudo Dynamic Analysis technique is an alternative method for exploring structural performance by combining analytical and experimental investigation. Compared to shake table tests, it is a more economical method, and ...

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