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Toplam kayıt 23, listelenen: 1-10
The role of the serum exosomal and endometrial microRNAs in recurrent implantation failure
(Taylor & Francis, 2020)
It has been identified that endometrium specific microRNAs have different expression levels in endometrial tissues and maternal serum during endometrial cycle. The aim of this study was to analyze microRNA expression levels ...
A novel high-performance holistic descriptor for face retrieval
(Springer London, 2020)
Texture extraction-based classification has become the facto methodology applied in face recognition. Haralick feature extraction from gray-level co-occurrence matrix (GLCM) is one of the basic holistic studies that has ...
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 ...
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. ...
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 ...
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 ...
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 ...
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 ...
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 ...