Başlık için Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering listeleme
Toplam kayıt 101, listelenen: 1-20
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2D Vector Representation of Binomial Hierarchical Tree Items
(Institute of Electrical and Electronics Engineers Inc., 2022)Today Artificial Intelligence (AI) algorithms need to represent different kinds of input items in numeric or vector format. Some input data can easily be transformed to numeric or vector format but the structure of some ... -
Adaptation of n-out-of-n secret sharing scheme into IoT network
(Institute of Electrical and Electronics Engineers Inc., 2023)Internet of Things (IoT) has become an established part of our daily lives by interconnecting billions of devices in diverse areas such as healthcare, smart home technologies, agriculture, etc. However, these devices are ... -
Analyzing five conscious and unconscious behaviors using google n-gram database generated from millions of books
(Institute of Electrical and Electronics Engineers Inc., 2020)Due to the exponential increase in the proliferation of information by humans and machines, the 21st century is called the "Information Age"and the "Digital Age". Regardless of the size of the data at hand, the challenge ... -
Anomaly Detection Using Data Mining Methods in IT Systems: A Decision Support Application
(Sakarya Üniversitesi Fen Bilimleri Enstitüsü, 2018)Although there are various studies on anomaly detection, effective and simple anomaly detection approaches are necessary as the inadequacy of appropriate ways for substantial network environments. In the existing analysis ... -
Application of artificial intelligence neural network modeling to predict the generation of domestic, commercial and construction wastes
(Sage, 2020)Reliable prediction of municipal solid waste (MSW) generation rates is a significant element of planning and implementation of sustainable solid waste management strategies. In this study, the multi-layer perceptron ... -
AutoFusion of feature pruning for decision making in operations research
(Springer Science and Business Media Deutschland GmbH, 2024)Recently, the fusion of algorithms in machine learning studies has taken a lot of attention, emphasizing the power of communal decision-making over-relying on a single decision-maker. One of the crucial questions in the ... -
Automated Segmentation of the Injured Liver
(IEEE, 2015)A new method is developed about segmentation in patients with liver trauma due to traffic accidents and military injuries. It is seemed that normal or liver surger cases are used in most of the studies in the literature. ... -
Autonomous Vehicle Convoy Formation Control with Size/Shape Switching for Automated Highways
(Materials & Energy Research Center-Merc, 2020)Today's semi-autonomous vehicles are gradually moving towards full autonomy. This transition requires developing effective control algorithms for handing complex autonomous tasks. Driving as a group of vehicles, referred ... -
Ayrık dalgacık dönüşümü bileşenlerine ait istatistiksel veriler ile epileptik eeg işaretlerinin sınıflandırılması
(2014)Beynin elektriksel aktivitesindeki anormal değişimden kaynaklanan epilepsi hastalığının teşhisinde EEG işaretlerinin analizi ve sınıflandırılması oldukça önemlidir. Bu çalışmada durağan olmayan EEG işaretlerinin spektral ... -
Big Data Analytics and Models
(IGI Global, 2022)When uncertainty is regarded as a surprise and an event in the minds, it can be said that individuals can change the future view. Market, financial, operational, social, environmental, institutional and humanitarian risks ... -
Big data analytics and models
(IGI Global, 2019)When uncertainty is regarded as a surprise and an event in the minds, it can be said that individuals can change the future view. Market, financial, operational, social, environmental, institutional and humanitarian risks ... -
Cancel-for-Any-Reason Insurance Recommendation Using Customer Transaction-Based Clustering
(IEEE-INST Electrical Electronics Engineers Inc, 2021)In the travel insurance industry, cancel-for-any-reason insurance, also known as a cancellation protection service (CPS), is a recent attempt to strike a balance between customer satisfaction and service provider (SP) ... -
Classification of juvenile myoclonic epilepsy data acquired through scanning electromyography with machine learning algorithms
(Springer, 2012)In this paper, classification of Juvenile Myoclonic Epilepsy (JME) patients and healthy volunteers included into Normal Control (NC) groups was established using Feed-Forward Neural Networks (NN), Support Vector Machines ... -
Comparative Performance Analysis of Support Vector Regression and Artificial Neural Network for Prediction of Municipal Solid Waste Generation
(Sage Publications Ltd, 2021)The evolution of machine learning (ML) algorithms provides researchers and engineers with state-of-the-art tools to dynamically model complex relationships. The design and operation of municipal solid waste (MSW) management ... -
Customer Segmentation Based on Self-Organizing Maps: A Case Study on Airline Passengers
(Dr. Öğr. Üyesi Fatma Kutlu Gündoğdu, 2020)Müşteri segmentasyonu, ortak özelliklere dayanan bir müşteri gruplama modelidir ve şirketlerin müşteri memnuniyeti ile doğrudan ilişkilidir. Müşteriyi daha iyi tanıyarak doğru müşteriye doğru yöntemlerle erişim sağlar. ... -
Dealing with the Uncertainty Between the Text Content and the Categories by a Proposed Wavelet Similarity Metric
(Springer Science and Business Media Deutschland GmbH, 2022)The rise of the issues related to the uncertainty of decision-making has become a warm issue in operation research. The study is dealing with the uncertainty of text contents and text categories. The complex and ambiguous ... -
Deep learning base modified MLP model for precise scattering parameter prediction of capacitive feed antenna
(WILEY, 2019)The relations between the antennas' geometrical parameters and design specifications usually consist of linear and nonlinear components. Especially with the increase of the requested performance measures, the design procedure ... -
Değiştirilmiş Ayrık Haar Dalgacık Dönüşümü ile Yeni Bir Histogram Eşitleme Yöntemi
(Mühendislik Bilimleri ve Tasarım Dergisi, 2022)Histogram eşitleme dijital görüntülerin kontrastını artırmak için kullanılan yöntemlerden biridir. İdeal histogram eşitleme yöntemlerinde, girdi ve çıktı arasındaki görüntü benzerliğini koruyarak histogramdaki dağılımları ... -
Designing a dynamic protocol for real-time Industrial Internet of Things-based applications by efficient management of system resources
(SAGE Publications Inc., 2019)Wireless sensor networks have gained the attention of researchers from various fields due to increased applicability. This has thus led to rapid development in the field. However, these networks still suffer from various ... -
Development of a Hybrid Method for Multi-Stage End-to-End Recognition of Grocery Products in Shelf Images
(MDPI, 2023)Product recognition on grocery shelf images is a compelling task of object detection because of the similarity between products, the presence of the different scale of product sizes, and the high number of classes, in ...
