In the globalized world, the analysis of data generated from the most varied sources, especially the textual ones, has become of great importance for the acquisition of knowledge and information. In this respect, the Internet and social networks make up the ma…
The field of Textual Sentiment Analysis has been met with increased interest by the research community in recent years due to the rise of social media and the Internet. The vast amount of opinion-heavy user-generated content that is available to us, whether th…
Nowadays, reinforcement learning algorithms on Markov decision processes (MDPs) face computational issues when the state space is large. To reduce this state space of a MDP several state aggregation, or clustering, methodologies have been applied. Recently, a…
The background of this research is the number of sales of electronic phone products in A Cell in Sleman Yogyakarta which is often uncertain. The company has a lot of sales transaction data stored in Ms. Excel. The data only serves as an archive, so the sale on…
Data Mining Classification is a technique to classify data into a category or class. The classification process can have varying accuracy depending on the compatibility between the data and the algorithm used. One way to improve the accuracy of the classificat…
Data Mining and Machine Learning have experienced a significant rise in the past few decades, due to the increasing computational power, as well as to the quantity and availability of data which we currently have access to. This amount of data is always growin…
This thesis focuses on applying Artificial Intelligence (AI) methods for detecting, classifying and predicting the faults in induction motors in order to prevent any failures happening during their operation due to loading conditions. It is very important to m…
Cultural heritage takes an important part in defining the identity and the history of a civilization or a nation. Valuing and preserving this heritage is thus a top priority for governments and heritage institutions. Through this paper, we present an image com…
In recent years, the advances in technology have produced datasets of increasing size, not only regarding the number of samples but also the number of features. Unfortunately, despite these advances, creating a sufficiently large amount of properly labeled dat…
In this thesis, we addressed two important theoretical issues in deep neural networks and clustering, respectively. Also, we developed a new approach for polyphonic sound event detection, which is one of the most important applications in the audio processing…
The massive upload of text on the internet makes the text overhead one of the important challenges faces the Information Retrieval (IR) system. The purpose of this research is to maintain reasonable relevancy and increase the efficiency of the information retr…
The extraction of knowledge from data is a relatively recent computational pursuit which has been the focus of significant research attention and has an extensive field of potential applications. With the advent of widespread data collection describing a varie…
أنا مساعد المستودع. اسألني عن الرسائل والأطاريح حسب الموضوع أو الجامعة أو الدولة أو السنة أو الدرجة، أو اطلب أعداداً وإحصاءات.
يجيب من قاعدة بيانات المستودع فقط، ولا يخترع سجلات أو أرقاماً. لا يُحفظ ما تكتبه على الخادم.
قد يخطئ المساعد أحياناً، فراجع المصادر المرفقة.
