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Toplam kayıt 425, listelenen: 261-270
Comparative Analysis of Codeword Representation by Clustering Methods for the Classification of Histological Tissue Types
(Spie-Int Soc Optical Engineering, 2015)
In this study, the classification of several histological tissue types, i.e., muscles, nerves, connective and epithelial tissue cells, is studied in high resolutional histological images. In the feature extraction step, ...
Emotion, age, and gender classification in children's speech by humans and machines
(Academic Press Ltd- Elsevier Science Ltd, 2017)
In this article, we present the first child emotional speech corpus in Russian, called EmoChildRu, collected from 3 to 7 years old children. The base corpus includes over 20 K recordings (approx. 30 h), collected from 120 ...
A novel algorithm for extracting the user reviews from web pages
(Sage Publications Ltd, 2017)
Extracting the user reviews in websites such as forums, blogs, newspapers, commerce, trips, etc. is crucial for text processing applications (e.g. sentiment analysis, trend detection/monitoring and recommendation systems) ...
A new computer-based approach for fully automated segmentation of knee meniscus from magnetic resonance images
(Elsevier, 2017)
Menisci are tissues that enable mobility and absorb excess loads on the knee. Problems in meniscus can trigger the disorder of osteoarthritis (OA). OA is one of the most common causes of disability, especially among young ...
Predicting the Direction of Movement for Stock Price Index Using Machine Learning Methods
(Springer-Verlag Berlin, 2016)
Stock price prediction with high accuracy may offer significant opportunities for the investors who make decisions on making profit or having high gains over the stocks in stock markets. The aim of this study is to predict ...
Robust Acoustic Emotion Recognition Based on Cascaded Normalization and Extreme Learning Machines
(Springer International Publishing Ag, 2016)
One of the challenges in speech emotion recognition is robust and speaker-independent emotion recognition. In this paper, we take a cascaded normalization approach, combining linear speaker level, non-linear value level ...
Prediction of Football Match Results in Turkish Super League Games
(Springer-Verlag Berlin, 2016)
This paper presents a model that predicts the results (Home Win/Draw/Away Win) of the football matches played in the Turkish Super League, by using three machine learning classification methods, which are Support Vector ...
The Analysis of Firewall Policy Through Machine Learning and Data Mining
(Springer, 2017)
Firewalls are primary components for ensuring the network and information security. For this purpose, they are deployed in all commercial, governmental and military networks as well as other large-scale networks. The ...
Determination of electromagnetic shielding performance of plain knitting and 1X1 rib structures with coaxial test fixture relating to ASTM D4935
(Taylor & Francis Ltd, 2010)
In this study, electromagnetic shielding effectiveness of some weft-knitted structures is investigated. For this purpose, weft-knitted structures are produced using copper wire/cotton incorporated yarns. Conductive yarns ...
Dyeing of polyamide fabrics with a natural dye: White onion skin
(Fiber Society, 2010)
[No abstract available]