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Toplam kayıt 688, listelenen: 541-550
Modeling short-term and long-term dependencies of the speech signal for paralinguistic emotion classification
(St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, 2019)
Recently, Speech Emotion Recognition (SER) has become an important research topic of affective computing. It is a difficult problem, where some of the greatest challenges lie in the feature selection and representation ...
An effective and efficient web content extractor for optimizing the crawling process
(John Wiley and Sons Ltd, 2014)
Classical Web crawlers make use of only hyperlink information in the crawling process. However, focused crawlers are intended to download only Web pages that are relevant to a given topic by utilizing word information ...
Computer-Aided Detection of COVID-19 from CT Images Based on Gaussian Mixture Model and Kernel Support Vector Machines Classifier
(Springer Science and Business Media Deutschland GmbH, 2022)
COVID-19 is a virus that has been declared an epidemic by the world health organization and causes more than 2 million deaths in the world. To achieve this, computer-aided automatic diagnosis systems are created on medical ...
Preparation and characterization of chitosan/hyaluronic acid/itaconic acid hydrogel composite to remove manganese in aqueous solution
(Desalination Publications, 2021)
In this work, new hydrogel composites composed of chitosan (CS)/hyaluronic acid (HA)/itaconic acid (IA) were synthesized by gamma radiation. Triple combination was prepared using gamma rays (25 kGy) at ambient temperature ...
Laccase-catalyzed enzymatic dyeing of cotton fabrics
(SAGE Publications Ltd, 2021)
As some synthetic dyes are regarded to be toxic, mutagenic and carcinogenic, the search for eco-friendly alternatives for the synthesis of dyes and coloration has gained importance. For this reason, this study focused on ...
A new heuristic approach for treating missing value: ABCIMP
(Kauno Technologijos Universitetas, 2019)
Missing values in datasets present an important problem for traditional and modern statistical methods. Many statistical methods have been developed to analyze the complete datasets. However, most of the real world datasets ...
Development of a chopper unit for chopping of sunflower stalk during harvesting by combine harvester
(2013)
The aim of this research was the development of a chopping unit, which is placed under the header of a combine harvester. In this way, stalks can be chopped during harvesting and this will be useful in respect to saving ...
Effects of compaction pressure on silage fermentation in bunker silo
(Eesti Pollumajandusulikool, 2017)
The aim of this research was to determine the effects of compaction pressure on maize silage fermentation under field conditions. The CAT 955 L type work machine was used for the compaction of the material. In this research, ...
Investigation of stochastic pairs trading strategies under different volatility regimes
(2010)
We investigate several market-neutral trading strategies and find empirical evidence that market-neutral equity trading outperforms in 2008, the first full year of the global financial meltdown. In our experiments we use ...
A novel ensemble fuzzy classification model in SARS-CoV-2 B-cell epitope identification for development of protein-based vaccine
(Elsevier Ltd, 2022)
B-cell epitope prediction research has received growing interest since the development of the first method. B-cell epitope identification with the aid of an accurate prediction method is one of the most important steps in ...