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Toplam kayıt 29, listelenen: 1-10
Potential biomarker of circulating hsa-miR-1273g-3p level for detection of recurrent epithelial ovarian cancer
(Springer, 2018-12)
PurposeOvarian cancer (OC) is first gynaecologic cancer that causes women death and epithelial ovarian cancer (EOC) is the most lethal ovarian cancer type. While treatment is commonly successful, some cases (10-20%) show ...
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 ...
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 ...
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 ...
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. ...
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 ...