Choosing good candidates for the initial centroid selection process for compact clustering algorithms, such as k-means, is essential for clustering quality and performance. In this study, a novel hybrid evolutionary model ...

RSI is a commonly used indicator preferred by stock traders. However, even though it works well when the market is trendless, during bull or bear market conditions (when there is a clear trend) its performance degrades. ...

In this paper, a neural network-based stock price prediction and trading system using technical analysis indicators is presented. The model developed first converts the financial time series data into a series of buy-sell-hold ...

In this study, we propose a stock trading system based on optimized technical analysis parameters for creating buy-sell points using genetic algorithms. The model is developed utilizing Apache Spark big data platform. The ...

Anomaly detection is an important part of an Intelligent Transportation System. In this study, image processing and machine learning techniques are used to detect anomalies in vehicle movements. These anomalies include ...

This article is a study of the ancient Mesopotamian literary text known as the 'Cuthaean Legend'. This Naram-Sin legend is known from several versions in the extant cuneiform corpus of texts (Westenholz 1997). The names ...

Sondaj operasyonlarında kuyu dibi basıncının hassas bir şekilde tespiti, operasyonların emniyeti ve operasyonlarla doğrudan ilişkili birtakım mühendislik tasarımları açısından kritik bir öneme sahiptir. Kuyu ...

Gross calorific value (GCV) of coals was estimated using artificial neural networks, linear and non- linear regression techniques. Proximate and ultimate analysis results were collected for 187 different coal samples. ...