Erişim şekli için "info:eu-repo/semantics/closedAccess" Bilgisayar Mühendisliği Bölümü Makale Koleksiyonu listeleme
Toplam kayıt 31, 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 ... -
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 ... -
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 ... -
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 ... -
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. ... -
Facial Recognition in Hexagonal Domain – A Frontier Approach
(Institute of Electrical and Electronics Engineers Inc., 2023)Many face-recognition (FR) methods have been proposed thus far. Although FR has achieved wisdom in square pixel-based image processing (SIP) due to many studies, this wisdom has not been transferred to Hexagonal pixel-based ... -
FTSH: a framework for transition from square image processing to hexagonal image processing
(Springer, 2020)This paper proposes a novel framework for transition from the ordinary square-pixel-based image processing (SIP) domain to the hexagonal-pixel-based (HIP) domain (FTSH). The conventional image acquisition and processing ... -
Harmonic analysis of steady-state visual evoked potentials in brain computer interfaces
(Elsevier, 2020)The signals generated in the occipital lobe of the brain, as a result of visual stimuli flickering at a certain frequency, are called steady-state visual evoked potentials (SSVEPs). Spectral properties of the SSVEPs are ... -
HEEL: A new clustering method to improve wireless sensor network lifetime
(Inst Engineering Technology, 2020)In wireless sensor networks, some resources such as memory and energy are limited. In recent years, there has been an increasing interest in improving network lifetime. Node energy plays an important role in the network ... -
I-GWO and Ex-GWO: improved algorithms of the Grey Wolf Optimizer to solve global optimization problems
(Springer London, 2019)In this paper, two novel meta-heuristic algorithms are introduced to solve global optimization problems inspired by the Grey Wolf Optimizer (GWO) algorithm. In the GWO algorithm, wolves are likely to be located in regions ... -
Iterative histogram equalization using discrete wavelet transform in low-dynamic range
(SPIE, 2023)A progressive histogram equalization (HE) and contrast enhancement method is proposed in the frequency domain. This method has an iterative structure based on the 6-sigma rule in the low-dynamic range using discrete wavelet ... -
A local-holistic graph-based descriptor for facial recognition
(Springer, 2022)Face recognition remains critical and up-to-date due to its undeniable contribution to security. Many descriptors, the most vital figures used for face discrimination, have been proposed and continue to be done. This article ... -
Low dynamic range discrete cosine transform (LDR-DCT) for high-performance JPEG image compression
(Springer Science and Business Media Deutschland GmbH, 2022)In mathematical theory, the discrete cosine transform (DCT) is a lossless orthogonal transformation method which means it outputs exactly the same values of the input after the inverse transformation. However, this is ... -
Low Dynamic Range Histogram Equalization (LDR-HE) Via Quantized Haar Wavelet Transform
(Springer, 2021)Conventional contrast enhancement methods stretch histogram bins to provide a uniform distribution. However, they also stretch the existing natural noises which cause abnormal distributions and annoying artifacts. Histogram ... -
A machine learning-based framework for predicting game server load
(Springer, 2020)Server load prediction can be utilized for load-balancing and load-sharing in distributed systems. The use of machine learning (ML) algorithms for load estimation in distributed system applications can increase the ... -
MAP-ACO: An efficient protocol for multi-agent pathfinding in real-time WSN and decentralized IoT systems
(Elsevier, 2020)Efficient energy consumption is one of the main problems in wireless sensor networks routing protocols. Since the sensor nodes have limited battery level and memory space, it is important to manage these resources efficiently. ... -
A Mixed Integer Linear Program for Election Campaign Optimization Under D'Hondt Rule
(SPRINGER INTERNATIONAL PUBLISHING AG, 2018)Election campaign optimization problem (ECOP) can be described as finding the best way to allocate a political party’s resources among different election locations in order to maximize the seats or member of parliaments ...