Artificial Neural Networks in Image Processing for Early Detection of Breast Cancer MEHDY, M. M., P. Y. NG, E. F. SHAIR, N. I. SALEH, CHANDIMA GOMES.2017. Artificial neural networks in image processing for early detection of breast cancer. Computational and mathematical methods in medicine. The paper examines four different approaches to breast cancer in medicine … Read more
Idea 1: Masked Face Detection:Introduction: Due to the fact that the virus that causes COVID-19 is spread mainly from person to person through respiratory droplets produced when an infected person coughs, sneezes, or talks, it is important that people should wear masks in public places. However, it would be difficult to keep track of a … Read more
1. Fake news/unreliable source detection Fake news detection algorithm would be an improved version of detecting unreliable sources. For this, I would need to come up with a database of credible data and identify the trustworthiness of the source based on that database. Combination of multiple features will be required to identify to then evaluate … Read more
First Idea: Peer-to-peer chat webapp This app allows two(or more) people to instantly and directly connect with each other and exchange messages without any third party authorization. It operates completely on a peer-to-peer network, established among the users. This solves the privacy and tracking concerns of users who want to have a personal chat with … Read more
CS 388 David Barbella Yujeong Lee 1) Sentiment Analysis on Popular Fiction Books (Data Science) Research topic/question: People have long discussed “formulas” for writing successful narrative fiction, such as the three-act structure or the hero’s journey, both models that follow a certain plot formula. I am interested in finding out whether a sentiment progression throughout … Read more
Pitch #1 Style transfer and Image manipulation Given any photo this project should be able to take any art movement such as Picasso’s Cubism and apply the style of the art movement to the photo. The neural network first needs to detect all the subjects and separate them from the background and also learn about … Read more
Use deep reinforcement learning to tune the hyperparameters (learning rate, lambda – regularization parameter, number of layers, number of units in each layer, different activation functions) of a Neural Network. The overall cost function of RL agent will include the metrics such as accuracy of the NN (or F1 score) on training and validation sets, … Read more