Abstract COVID-19 has been reported to disproportionately affect minorities in terms of mortality rate1, so it was inquired whether this apparent discrimination also applied to unemployment rate. Through data analysis in Python and K-means clustering, an unsupervised machine learning algorithm based on minimising within-cluster variance to an average point known as a centroid, the bias […]
Ryan Nayebi* Mentor: Brianna Chrisman *Woodside Priory School Abstract The use of machine learning to analyse data obtained through single-cell RNA sequencing (scRNAseq) provides eye-opening insights into cellular biology. Applications of this type of data analysis range from understanding tumor heterogeneity (with potential for creating lifesaving, patient-specific treatment) to studying stochastic gene expression.[17] Throughout […]
Wireless Brainwave Sensing Using an EEG Headset and Labview Programming Ri He Abstract Using a Bluetooth HC-06 module and an electroencephalogram (EEG) Mindflex headset, I developed a wireless brainwave sensing system based on Labview graphical programming. Using the system, EEG raw data was attained, saved and processed. Brainwaves were recorded during three activities: relaxing, reading […]
Abstract As data becomes more and more important, so does the technology that holds it. With a change as large scale as the transition from Oracle to Snowflake, companies need to be informed just how much database technology has improved in order to determine if a shift is worth it. To thoroughly analyse the differences […]
Abstract Glaucoma is a chronic eye disease that damages the optic nerve and leads to irreversible blindness in its terminal stage. This project proposes a feasible and accurate system to detect open-angle glaucoma, the most common form of glaucoma. Using two deep learning architectures, Single Shot MultiBox Detector (SSD) and Visual Geometry Group Neural Network […]
Written by Grace Li ABSTRACT The capacity of computational infrastructures has exploded over the past few decades, propelling the volume and nuance of data collection. Data mining, the application of algorithms to extract insights from these large reservoirs of data, has advanced industries like commerce and the applied sciences; however, the applications of data mining […]
Abstract Despite their promises of democratising learning and revolutionising higher education, Massive Open Online Courses (MOOCs) continue to suffer from many drawbacks, the most concerning of which are high disengagement rates. Currently, anywhere upwards of 90% of students fail to graduate from most enrolled courses7. In order to investigate the reasons for such high attrition […]
I have heard it so often: “Change is constant” and have thought to myself, Sure, that sounds relatively true. Unfortunately, in these uncertain times, people have experienced some of the most profound changes across the world, and the impact will be felt for many years to come, and if you have any concerns about your […]
Abstract This research placement examined the barriers to widespread adoption of smart technologies by the elderly. There were three major considerations: our dependence on automation, how we can improve lives and its trustworthiness. With an ageing population, automation will reduce economic and infrastructural pressures hence increasing the need to develop and deploy such technologies. The […]
Ashwin K. Avula (Student)1, Gian Marco. Conte M.D., Ph.D. (Mentor)2, Bradley J. Erickson M.D., Ph.D. (Mentor)2 I.Abstract Gliomas are a category of tumors that affect the brain and spinal regions. These tumors are known to grow alongside and infiltrate normal brain tissue, making surgical removal difficult and complicating treatment procedures.[1] In these cases, several Magnetic […]
Ian Gabriel C. Santillan Ateneo de Davao University Senior High School, Davao City, PH [email protected] Abstract Facial recognition is a category of biometric software that maps a person’s facial highlights and stores them as a faceprint. It works by contrasting chosen facial highlights from a given picture with faces in a database. Commercially available systems […]
Lucy Chen Artificial intelligence has existed since the 1950s, and underpins all technology in modern society. From monitoring Amazon transactions to self-driving cars, almost every product used today runs on intelligent machines. One of the most recognisable systems of artificial intelligence is the artificial neural network (ANN), which is loosely modelled after the animal neocortex- […]
Abstract Drone transportation is currently characterized by limitations such as the vehicle’s autonomy, the number of packages that can be loaded, and the battery life. In this project, graph theory was used to model a logistic network based on UAVs (Unmanned Aerial Vehicles), also known as “drones”. It was then attempted to optimize the delivery […]
Abstract Lunar Mission One is a publicly-funded project that aims to pioneer inclusive space exploration that belongs to everyone, planning to send an international robotic lander to Moon and leave a record of life on Earth there. This essay aims to design a data structure for the mission’s public archive. With Wikipedia as the […]
Robots are becoming more human, but are humans becoming like robots? Social media, college admissions, work: these are all aspects of our daily lives where we are exemplified for perfection. A human appearance, facial recognition, and individual thought: these are traits thought to encompass the most intelligent robots. But what draws the line between the […]
When I was in fifth grade, I underwent one of the scariest experiences in my life. I knew that my mother had a family history of breast cancer, but now I realized that it had the potential to impact her directly. I can still remember the experience like it occured yesterday. My mom went to […]