by AIM Team | Dec 2, 2018
Abstract This paper presents a neural network model based on a Convolutional Neural Network to classify food products often seen in convenience stores. The data gathered was based on crowdsourced information since there is no locally available dataset to use. We used...
by AIM Team | Dec 1, 2018
Abstract We automate the monitoring of a pig’s health through images. We first apply a Region-Convolutional Neural Network (R-CNN) to segment the pigs in an image. Thereafter, we utilize a 12-layer Convolutional Neural Network (CNN) to classify cropped pictures either...
by AIM Team | Aug 5, 2018
Abstract City competitiveness relies on several factors including urban amenities. This project attempts to predict how changes in the number of amenities affect the competitiveness of a city. Predicting city competitiveness can benefit local government units and...
by AIM Team | Aug 2, 2018
Abstract Tides are natural responses of the ocean to the periodic fluctuations in the tide-raising forces of the moon and the sun. Tidal information is mostly beneficial to coastal navigation, fishing, weather forecasting, and tidal energy harvesting. In the...
by AIM Team | Aug 1, 2018
Abstract Startups are important to a nation’s economy because they are sources of disruption and innovation, which in turn accelerates economic growth. Using crowdsourced data from Crunchbase, we aim to determine the factors that contribute to the success of a startup...
