Başlık için Bilgisayar Mühendisliği Bölümü Makale Koleksiyonu listeleme
Toplam kayıt 68, 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 ... -
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 ... -
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 ... -
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. ... -
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 ... -
Diamon: Learning the english language through gaming by kindergarten students
(ICIC Express Letters Office, 2015)The purpose of this study was to measure the effect of a serious game on the achievement and performance of 6 years old kindergarten students. A mobile game, Diamon, was designed using the Spiral Education Game Design ... -
DLGBD: A directional local gradient based descriptor for face recognition
(Springer, 2019)This paper proposes a novel high-performance gradient-based local descriptor that handles the prominent challenges of face recognition such as resistance against rotational, illuminative changes as well as noise effects. ... -
Document Sentiment Classification Using Hybrid Wavelet Methodologies
(Gazi University, 2021)Sentiment and semantic analysis of a text are very important issues of today because of increasing text data. Our study proposes a new method to reveal the hypernym relations (generic term) of the words in the text and to ... -
Early Software Defects Density Prediction: Training the International Software Benchmarking Cross Projects Data Using Supervised Learning
(Institute of Electrical and Electronics Engineers Inc., 2023)Recent reviews of the literature indicate the need for empirical studies on cross-project defect prediction (CPDP) that would allow aggregation of the evidence and improve predictive performance. Most empirical studies ... -
Effects of Digital Filtering on the Classification Performance of Steady-State Visual Evoked Potential Based Brain-Computer Interfaces
(Bajece (İstanbul Teknik Ünv), 2020)The electrical activity that occurs during the communication of neurons is recorded by a method called electroencephalography. Brain computer interfaces utilize various electrophysiological sources obtained from ... -
The effects of digital game-based learning on performance and motivation for high school students
(ICIC Express Letters Office, 2015)The purpose of this study is to investigate the effects of digital game-based learning on the performance and motivation of high school students in computer science education. A simple matching game was designed using the ...
