Güncel Gönderiler: Bilgisayar Mühendisliği Bölümü
Toplam kayıt 179, listelenen: 41-60
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Metaheuristic Algorithms in IoT: Optimized Edge Node Localization
(Springer, 2022)In this study, a new hybrid method is proposed by using the advantages of Grey Wolf Optimizer (GWO) and Moth-Flame Optimization (MFO) algorithms. The proposed hybrid metaheuristic algorithm tries to find the near-optimal ... -
Empirical Comparison of Heuristic Optimisation Methods for Automated Car Setup
(Sprınger, 2022)Tuning a race car to improve its performance by adopting an effective setup is crucial and an extremely challenging task. The Open Racing Car Simulator, referred to as TORCS, is a well-known simulator in which a race car ... -
Low-cost VIS/NIR Range Hand-held and Portable Photospectrometer and Evaluation of Machine Learning Algorithms for Classification Performance
(Elsevier B.V., 2022)In this study, the electronic design of a low-cost and portable spectrophotometer device capable of analyzing in the visible-near infrared region was established. The design of C#.NET-based user-friendly device control ... -
The Best Approximation of Generalized Fuzzy Numbers Based on Scaled Metric
(Hindawi Limited., 2022)The ongoing study has been vehemently allocated to propound an ameliorated α-weighted generalized approximation of an arbitrary fuzzy number. This method sets out to lessen the distance between the original fuzzy set and ... -
Karşıt Tabanlı İkili Parçacık Sürü Optimizasyonu Algoritması ile Öznitelik Seçimi
(IEEE, 2022)Bu çalışmada öznitelik seçimi probleminin çözümü için meta-sezgisel algoritmalardan İkili Parçacık Sürü Optimizasyonu algoritmasının Karşıt Tabanlı Öğrenme yöntemi ile kullanıldığı yeni yaklaşım önerilmiştir. Karşıt Tabanlı ... -
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 ...
