Chapter 13 Support Vector Machine | Machine Learning with R

Is Bidirectional Sentence Parsing the Future of Natural Language Processing?

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Bharathi Sridhar Abstract Traditionally, text is analysed unidirectionally: from left to right. But bidirectional parsing is quickly becoming more prevalent in Natural Language Processing (NLP) and deep learning. Deep learning methods often require large amounts of data to extract patterns but in many NLP tasks, labelled data is scarce, so usually, a model is pre-trained […]

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Peer-to-peer Lending: Optimizing the Classification and Matching of Digital Karmic Personas

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Sanya Sharma William Jones College Preparatory Abstract In 2020, student debt in the U.S. has amounted to a sum of $1.56 trillion and is a growing national concern [1]. To alleviate this crisis, I assisted in the development of Coinsequence—a curated, peer-to-peer lending platform in which do-good lenders directly invest in students’ digital profiles. Here, […]

Skin Cancer Detection Through AI Model

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[email protected] ABSTRACT One of the most deadly diseases in humans is skin cancer. Research shows that early detection of these cancerous tumors significantly increases chances of survival[1].Therefore, physicians take more time to investigate these types of lesions.[2]] The purpose of this paper is to propose a system that automatically classifies skin cancer with a higher […]

Comparing RSSI Between Thinly Enclosed and Exposed Devices

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Abstract In this paper, we explore the idea of private automated contact tracing through bluetooth devices. This is done through a controlled experiment where Received Signal Strength Indicator (RSSI) values are measured from different distances in both an exposed setting as well as a thinly enclosed setting [3]. The behavior and patterns of the RSSI […]

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Using Bluetooth RSSI Values to Classify Proximity with Deep Neural Networks for COVID-19 Contact Tracing

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Abstract The Radio Signal Strength Indication (RSSI) obtained by Bluetooth can be used to estimate the proximity and duration of an individual’s exposure to patients diagnosed with COVID-19. This is because as the RSSI signal becomes stronger, it indicates a closer proximity. This proximity information can be used alongside timestamp data to estimate the distance […]

Reflection of Political Bias within YouTube Search and Recommendation Algorithms

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Michael Lutz, Sanjana Gadaginmath, Natraj Vairavan, Sriram Srivatsan, Advisor: Phil Mui 1Aspiring Scholars Directed Research Program, 43505 Mission Blvd, Fremont, CA 94539 Abstract: Given the reach of YouTube as a proliferator of contemporary news and ideas, it is important to understand how YouTube reflects (either magnifies, minimises, or preserves) pre-existing political bias. Moreover, it remains […]

CO2 Levels During Long International Flights as Approximation for COVID-19 Infection Risk Levels

Posted Leave a commentPosted in Computer Science, Covid-19, Engineering, Health

Inbar Adiel, 11th Grade, Golda Och Academy, NJ January 31st, 2021 ABSTRACT This research documents the levels of CO2 during two long international flights that took place on December 11th, 2020 and January 1st, 2021 (US -> Israel and Israel -> US). Based on CDC guidelines, the risk of becoming infected with COVID-19 increases dramatically […]

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Quantum Computing: How it all adds up

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Introduction Quantum computing has taken the world by storm. Many believe that quantum computers have the potential to overtake even the fastest supercomputers, and for good reason. Quantum computers – unlike classical computers – rely on the peculiar phenomena of quantum mechanics. How, though, do these machines function? How do scientists realistically incorporate quantum ideas […]

Demographic Bias in Unemployment Across the U.S. during the 2020 COVID-19 Pandemic

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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 […]

Predicting Cell Phenotypes from scRNAseq Data

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  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

Posted Leave a commentPosted in Biology, Computer Science, Neuroscience

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 […]

Detecting Open-angle Glaucoma Using a Two-parts Deep Learning Architecture

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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 […]

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Educational Data Mining in the Current Classroom

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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 […]

Analysis of and Solutions for Disengagement in Massive Open Online Courses (MOOCs): Literature Review

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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 […]

Building trust in autonomous technologies

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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 […]

Deep convolutional neural network — DCNN - Deep Learning with Keras

Medical Image Translation Using Convolutional Neural Networks

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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 […]

A Low-Cost Prototype Classroom Attendance Checker and Logger Using Facial Recognition

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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 […]