Nikki Pelchat, candidate for the degree of Master of Applied Science in Software Systems Engineering, has presented a thesis titled, Neural Network Music Genre Classification, in an oral examination held on December 8, 2020. The following committee members have found the thesis acceptable in form and content, and that the candidate demonstrated satisfactory knowledge of the subject material.

No abstract

Nikki Pelchat, candidate for the degree of Master of Applied Science in Software Systems Engineering, has presented a thesis titled, Neural Network Music Genre Classification, in an oral examination held on December 8, 2020. The following committee members have found the thesis acceptable in form and content, and that the candidate demonstrated satisfactory knowledge of the subject material.

This paper presents a car racing simulator game calledRacer, in which the human player races a car against three game-controlled cars in a three-dimensional environment. The objective of the game is not to defeat the human player, but to provide the player with a challenging and enjoyable experience. To ensure that this objective can be accomplished, the game incorporates artificial intelligence (AI) techniques, which enable the cars to be controlled in a manner that mimics natural driving. The paper provides a brief history of AI techniques in games, presents the use of AI techniques in contemporary video games, and discusses the AI techniques that were implemented in the development ofRacer.A comparison of the AI techniques implemented in the Unity platform with traditional AI search techniques is also included in the discussion.

Twitter enables users to write and publish messages with a maximum of 140 characters. This is sometimes termed micro-blogging because individuals often use Twitter to communicate their thoughts, commentary or feelings about any given subject. Twitter's significant popularity and mass usage has resulted in any subject queried from the Twitter API that may return a vast number of tweets. These tweets can be related to several different categories. This paper proposes a hierarchical clustering system that groups tweets into meaningful clusters based on cosine similarity score.