… process control manipulating strategies. In response to this … manipulation extraction method
based on deep learning of … for deep learning and reconstructions of manipulating strategies. …

… Speech deepfake technology, which utilizes deep learning methods to synthesize or
generate speech, has emerged as a critical research hotspot in multimedia information security. …

… Lodging detection technology based on deep learning generally limited to identifying … ability
of deep learning models. The aim is exploring a deep learning-based method for detecting …

… In order to boost the performance of our difficulty scorer, we added machine learning for
cases where rule-based solution failed to determine difficulty level. We tried different …

… Convolutional Neural Network is one of the most popular deep learning algorithms. As a
new technology, it has been widely used in the field of image recognition. Its strong self…

The study is introduced under four main sections in this chapter. First, the purpose of the
thesis is explained clearly. Afterwards, a detailed literature review is given in order to …

… Starting with unsupervised learning, Deep learning and Neural networks, we will move
into natural language processing and reinforcement learning. You will study the theoretical …

… In this study, we propose a method to suppress beam hardening artifacts based on deep
learning. We train a convolutional neural network using a large number of images with beam …

… Machine learning and related information classification methods have become the current
focus of researchers. We described the principle applied by machine learning methods for …

… integration modulate activities in these structures. We investigate these questions in an EEG
study integrating temporal and ICAbased EEG signal decomposition with source localization…