Abstract Unmanned Aerial Vehicles (UAVs) offer a huge amount of potential in a variety of
applications, including healthcare, medical, traffic monitoring, military, and industry. UAVs …

Naive Bayes has been widely used in many applications because of its simplicity and ability
in handling both numerical data and categorical data. However, lack of modeling of …

Encoding turbulent properties of dynamic textures (DTs) is a challenging issue of video
understanding for various applications in computer vision. It is partly due to the negative …

The central object of this PhD thesis is known under different names in the fields of computer
science and statistical mechanics. In computer science, it is called the Maximum Cut …

The traditional robot grasping detection methods suffer from unstable grasping accuracy and
slow convergence rate of training. In this paper, a depth generative grasping convolutional …

Convolutional Networks are category of deep optimizing networks used to interpret images
in Deep Learning concepts. Image recognition and medical image analysis are two areas …