Bilgisayar Mühendisliği Bölümü: Recent submissions
Now showing items 81-100 of 214
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A Novel Intelligent Traffic Recovery Model for Emergency Vehicles Based on Context-aware Reinforcement Learning
(Elsevier, 2023)Management of traffic emergencies has become very popular in recent years. However, timely response to emergencies and recovering from an emergency is an important prob- lem in itself. The strategies in the current ... -
Evrişimsel Sinir Ağları ile Cilt Hastalıklarının Tanısında Transfer Öğrenme Yönteminin Uygulanması
(IEEE, 2022)Dünya genelinde her yıl milyonlarca kişiye cilt kanseri tanısı konulmakta ve çok sayıda insan bu hastalıktan dolayı hayatını kaybetmektedir.Cilt hastalıklarında erken tanı önemlidir.Bu nedenle, Cilt hastalıklarının bilgisayar ... -
Görüntülerdeki Gauss Dağılımlı Gürültülerin Derin Sinir Ağı Modelleri ile Giderilmesi
(IEEE, 2022)Mikroskobik görüntülemede çevresel faktörler dolayısıyla elde edilen görüntülerde olu¸san gürültülerin giderilmesi, tıbbi görüntüleme alanında önemli bir ara¸stırma konusu haline gelmi¸stir. Herhangi bir dijital mikroskopi ... -
An LED-Based Structured Illumination Microscope Using A Digital Micromirror Device And GPU Accelerated Image Reconstruction
(PLOS, 2022)When combined with computational approaches, fluorescence imaging becomes one of the most powerful tools in biomedical research. It is possible to achieve resolution figures beyond the diffraction limit, and improve the ... -
Maximizing Coverage and Maintaining Connectivity in WSN and Decentralized Iot: An Efficient Metaheuristic-Based Method for Environment-Aware Node Deployment
(Springer, 2022)The node deployment problem is a non-deterministic polynomial time (NP-hard). This study proposes a new and efficient method to solve this problem without the need for predefined circumstances about the environments ... -
DeepCAN: A Modular Deep Learning System for Automated Cell Counting and Viability Analysis
(IEEE, 2022)Precise and quick monitoring of key cytometric features such as cell count, cell size, cell morphology, and DNA content is crucial for applications in biotechnology, medical sciences, and cell culture research. Traditionally, ... -
A Fast Algorithm for Hunting State-Backed Twitter Trolls
(Springer, 2022)In recent years, state-backed troll accounts have been adopted extensively by many political parties, organizations, and governments to negatively influence political systems, persecute perceived opponents, and exacerbate ... -
Experimental Analysis of A Statistical Multiploid Genetic Algorithm for Dynamic Environments
(Elsevier, 2022)Dynamic environments are still a big challenge for optimization algorithms. In this paper, a Genetic Algorithm using both Multiploid representation and the Bayesian Decision method is proposed. By Multiploid representation, ... -
Enhancing Nearest Centroid with Coverage Principle for Classification Problem
(Institute of Electrical and Electronics Engineers Inc., 2021)Motivated by the network coverage of the trans- mitter, this research proposes a novel coverage-based method to improve the Nearest Centroid’s class prediction by replacing the centroid with radius coverage as the ... -
Öznitelik Seçimi İçin Çoklu-Ebeveyn Çaprazlama Operatörlerinin Karşılaştırılması
(Institute of Electrical and Electronics Engineers Inc., 2022)Genetic algorithms (GA) are mostly used for feature selection in literature. In this study, multi-parent crossover operators are used in genetic algorithms for feature selection. The uniform crossover, occurrence-based ... -
A Deep Learning Based Android Malware Detection System with Static Analysis
(Institute of Electrical and Electronics Engineers Inc., 2022)In recent years, smart mobile devices have become indispensable due to the availability of office applications, the Internet, game applications, vehicle guidance or similar most of our daily lives applications in addition ... -
AT-ODTSA: a Dataset of Arabic Tweets for Open Domain Targeted Sentiment Analysis
(University of Bahrain, 2022)In the field of sentiment analysis, most of research has conducted experiments on datasets collected from Twitter for manipulating a specific language. Little number of datasets has been collected for detecting sentiments ... -
Bi-criteria Simulated Annealing for the Curriculum-based Course Timetabling Problem With Robustness Approximation
(Springer, 2022)In the process of developing a university’s weekly course timetable, changes in the data, such as the available time periods of professors or rooms, render the timetable infeasible, requiring the administrators to repair ... -
An Adaptive Feature Extraction Method for Classification of Covid-19 X-Ray Images
(Springer Science and Business Media Deutschland GmbH, 2022)This study aims to detect Covid-19 disease in the fastest and most accurate way from X-ray images by developing a new feature extraction method and deep learning model . Partitioned Tridiagonal Enhanced Multivariance ... -
Classification of Covid-19 X-ray Images Using Tridiagonal Matrix Enhanced Multivariance Products Representation (TMEMPR)
(Institute of Electrical and Electronics Engineers Inc., 2021)Medical images are crucial data sources for diseases that can not be diagnosed easily. X-rays, one of the medical images, have high resolution. Processing high-resolution images leads to a few problems such as difficulties ... -
A Deep Learning Model for Automated Segmentation of Fluorescence Cell images
(IOP Publishing Ltd, 2021)Deep learning techniques bring together key advantages in biomedical image segmentation. They speed up the process, increase the reproducibility, and reduce the workload in segmentation and classification. Deep learning ... -
EEG Sinyallerinin Sınıflandırılmasında Evrimsel Öznitelik Seçim Metotlarının Kullanılması
(Marmara Üniversitesi, 2021)Elektroensefalografi beyindeki elektriksel akımın ölçülmesi ile elde edilen sinyallerdir. Bu sinyallerin sınıflandırılması özellikle beyin sinyalleri ile ilgili rahatsızlıkların teşhis, tanı ve tedavisine katkı sağladığı ... -
Iterative Enhanced Multivariance Products Representation for Effective Compression of Hyperspectral Images
(IEEE, November 2)Effective compression of hyperspectral (HS) images is essential due to their large data volume. Since these images are high dimensional, processing them is also another challenging issue. In this work, an efficient lossy ... -
GraphQL Sorgu Oluşturma Sürecinde Kullanılan Araç ve Yöntemlerin Analizi ve İyileştirilmesi
(Marmara University Journal of Science, 2021)Günümüzde yaşanan teknolojik gelişmeler, İnternete bağlanan toplam cihaz tür ve sayısında büyük bir artışa yol açmıştır. Sunucu makineler daha fazla istek almaya başlamış hem ağ trafiği hem de sunucu yanıt süresi olumsuz ... -
Iris Segmentation in Uncooperative and Unconstrained Environments: State-of-the-art, Datasets and Future Research Directions
(Elsevier, 2021)Most of the classical iris recognition systems require cooperation from users and assume ideal conditions during iris image acquisition. In uncooperative and unconstrained environments, the performance of these classical ...
