Ara
Toplam kayıt 62, listelenen: 11-20
Teachers' attitudes toward use of technology: a research for informatics technology use in education of primaryschools
(2010)
Informatics technology has helped greatly the progress of education in the primary schools. For example, downloadable Internet research materials assist teachers in preparing their lesson plans. And librarians now have ...
Performance analysis of GLCM-based classification on Wavelet Transform-compressed fingerprint images
(IEEE, 2016)
Fingerprint detection is one of the primary methods for identifying individuals. Gray Level Co-occurrence Matrix (GLCM) is the oldest and prominent statistical textual feature extraction method applied in many fields for ...
Zıt mevsim video uyaranlarına karşı ölçülen beyin elektriksel dinamiklerinin sınıflandırılması
(Institute of Electrical and Electronics Engineers Inc., 2019)
In this study, it was aimed to classify the electrical signals recorded from human brain during different season (summer-winter) videos as stimuli. Data have been recorded using 14 channels EEG from four male participants. ...
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 ...
Yaralanmış karaciğer bölütlemesi için sağ batın bölge sınırının belirlenmesi
(IEEE, 2016)
Acil servise getirilen travmalı hastalar için acil operasyon ihtiyacının otomatik belirlenmesi hasta yönetimine hız kazandırma açısından oldukça önemlidir. Bu çalışmada batın içi travmalar sonucunda hacmi ve lokasyonu ...