The topic discusses an ongoing controversy in the fields of computer science and philosophy over whether computers will ever be able to reproduce the full range of human intelligence. Proponents of the view which claims that computers could, theoretic . . .

The goal of this project is to review artificial intelligence/expert systems applications in engineering design. Applications of expert systems to mechanical engineering design are emphasized. The report introduces the subject of artificial Intelligen . . .

In this investigation, classification of electroencephalographic (EEG) data for Brain Computer Interfaces is studied in order to distinguish the most optimal methods for classifying hand movements. Algorithms previously studied in the field of BCI tec . . .

Identifying the type of modulation scheme present on a signal is an integral part of any non-coherent receiver, especially in defense. Prior to signal processing, modulation schemes present on a received signal must be accurately identified. Finding a . . .

With the rise of Artificial Intelligence over the past decade, many useful applications have been developed and in use. Computer vision is one of the core areas of Machine Learning. Computer vision could solve a range of tasks in many areas like medic . . .

Considerably deep convolutional neural networks have contributed greatly to recent advances in image recognition. the emergence of architecture like GoogLeNet with Inception Module have allowed neural networks to gain high performance with low computa . . .

Children with autism often experience sudden meltdowns which not only makes the moment tough for the caretakers/parents but also make the children hurt themselves physically. Studies have discovered that children with autistic spectrum disorder exhibi . . .

Supervised machine learning has become a powerful method of creating predictions and classifying labeled data sets. the ability to analyze and classify data is a powerful tool used in applications spanning almost every industry. the most popular class . . .

In this thesis, the concept of neural networks, a form of machine learning, is applied to network intrusion detection to compare the performance of shallow and deep neural networks. Neural networks provide a robust method of machine learning that can . . .