Computer Science

Will A.I. (artificial intelligence) replace doctors?

Undoubtedly, the concept and ability of Artificial Intelligence is becoming more prominent in most jobs, making the skills and abilities of people in many careers redundant[1]. However, in a job that is very people and skills-oriented, can this be the case? Will A.I replace doctors? From any perspective, it is clear to see that AI …

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The Effect of Collaborative Electronic Use on Loneliness in a Virtual Schooling Environment

Abstract The coronavirus, COVID-19, is an airborne virus that has caused government officials to demand that people stay inside. Being locked inside may lead to increased feelings of loneliness, but the use of technology may lessen isolation’s effects. As a result, many high schoolers have been forced to go from in-person schooling to virtual schooling. …

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Computer Science Education Week

Introduction ‘Computer Science is imagination; ideas flowing out of minds.’ This thought reminds us of Albert Einstein’s saying- “Imagination is more important than knowledge. For knowledge is limited, imagination embraces the entire world, stimulation progress, giving birth to evolution.” An extraordinary amalgamation oh imagination, knowledge, and learning is the Computer Science Education Week, an initiative …

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Universalising Leading Healthcare Budgeting Systems by Applying Supervised Machine Learning Through Integrating Recurrent Neural Networks

  Abstract: Globally, inadequate healthcare funding has catalysed severe effects, demonstrating the extensive issues raised by inefficient spending. Consequently, this study\’s principal objective is to universalise leading health care systems by examining different countries\’ data, such as population and number of hospital beds, with linear regression analysis. This research focuses on extrapolating the funding principles …

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Is Bidirectional Sentence Parsing the Future of Natural Language Processing?

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

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, …

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Skin Cancer Detection Through AI Model

[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 …

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Comparing RSSI Between Thinly Enclosed and Exposed Devices

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

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 with the help of an rf amplifier, it indicates a closer proximity. This proximity information can be used …

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Reflection of Political Bias within YouTube Search and Recommendation Algorithms

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 …

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