Convolutional neural networks show outstanding performance in many image processing problems, such as image recognition, object detection and image segmentation. Semantic segmentation is a very challenging task that requires ...

Data Grid provides convenient services for data management and uniform access to distributed high volume data sources. Data replication is a service to facilitate and accelerate data accessing in Data Grid. But in the ...

The aim of this paper is to elaborate on an attempt to classify Persian news headlines using machine learning techniques rather than human-based analysis. Three major techniques namely Naïve Bayes, Maximum Entropy and ...

The Firefly optimization algorithm (FA) is one of the practical nature-inspired metaheuristic approaches in 2008, which simulated the behavior of fireflies in the movement toward the light sources. Recent studies on this ...

QCA is a kind of computational technology used for developing circuits in Nano sizes. Decreasing the dimensions of pieces has led to the increase of circuit sensibility and quantum circuits are more vulnerable to defects ...

Shortly, preventing collisions with fixed or moving, alive, and inanimate obstacles will appear to be a severe challenge due to the increased use of Unmanned Ground Vehicles (UGVs). Light Detection and Ranging (LIDAR) ...

Face recognition is one of the most important identification tools in biometrics. Nowadays, the topic of face recognition has many applications in various fields, including public security, identity identification, protection ...

In this paper, a novel filter-based approach is proposed using the PageRank algorithm to select the optimal subset of features as well as to compute their weights for web page classification. To evaluate the proposed ...