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Stress Detection with Smart Watch

The project is about stress detection using the data gathered by the smartwatch, focusing on the students and the stress they have been living through, especially when they are about to face examinations, mainly midterms and finals

Processing Data ow Graphs of SQL Queries

As SQL queries can be represented as data ow graphs, performance gain can be achieved in a multiprocessor architecture by taking advantage of the parallelism inherent in the graph structure. The aim of the project is to extend upon the work of Can Guler's Data ow Graph Generation From an SQL Query [1] to develop tools necessary for automatic scheduling.

Analysis and Visualization of Time Series

Data visualization and data analysis have become such important topics in our age with the huge boom in produced data. In our project, we wanted to develop an interactive visualization platform for time series data. We used multi-way arrays (also called as tensors) to store time series data in different entities and we used D3.js library to visualize those arrays. We filled missing data in the dataset with cubic spline interpolation. In the responsive platform we built, users can upload their own datasets and choose different tensor combinations for different visualizations.

Analysis of Graduate Studies Application Data

Free formatted and non-standardized data can be a problem when it comes to process and extract information. Free format can contain misspellings, different representation of same attribute, non-comparable and heterogeneous data. This paper mainly focuses on analysis of graduate studies data which requires cleaning and correcting using “keyword detection” and standardization. Analysis is done by grouping candidates according to some criteria which can be dynamically decided by user. Pattern recognition; instance matching, translation and conversion and clustering methods are used.

Baxter the Robot Helper: Inferring and Achieving Others' Goals in Altrustic Robots

Altruism (n): (Merriam-Webster Dictionary)
1. unselfish regard for or devotion to the welfare of others,
2. 2. behavior by an animal that is not beneficial to or may be harmful to itself but that benefits others of its species.

Parallel Simulation Framework for Nanonetworking

Nanonetworking is a new communication paradigm in computer networks, which gained interest in last decade. Nanonetworks differ from traditional computer networks in terms of communication characteristics. Therefore, new approaches are presented which needs testing and simulation. Current simulators are of course capable of simulating molecular world but they are not in the context of nanonetworking. Hence in this area, a need for a simulation toolbox has arisen.

Financial Analysis Using Machine Learning Methods

Machine Learning methods have long been applied to financial data. We explore the correlation (or the lack thereof) of financial data, such as the BIST 100 index or individual stock prices, to features extracted from financial news and past data. We intend to use the advancements in text classification and Natural Language Processing capabilities in general, and machine learning models to extract the features of Turkish news documents and stock price series using statistical methods and to analyze the correlation of the extracted features with the financial data.

Chrome Extension for Spam Detection

Nowadays, spam contents in the internet could be really annoying and harmful while surfing the internet. There are some approaches to find a solution for that problem. However, those does not focus on natural language processing approach and does not give much credit for the machine learning techniques.

Constructing Risk Map of Cyber Entities Belonging to Boğaziçi University in terms of Security

The object of my dissertation is identifying the ways to exploit vulnerabilities to defeat the security features of system components used in Boğaziçi University. The goal of penetration testing will be determining whether and how a malicious user can gain unauthorized access to assets that affect the fundamental security of the systems.

Auctioning Privacy for Multi-Agent Autonomous Vehicles

Information is one of the most valuable asset in twenty-first century. While the importance of information increases, the need to preserve personal privacy is becoming essential. In the context of Internet of Things, the sensory data about our life and our surrounding is sending to the internet, which is vulnerable to violate personal privacy. In order to preserve the privacy in the context of Internet of Things, specifically in the autonomous smart traffic, we implemented a communication protocol that auctions privacy while managing intersections for an autonomous multi-agent traffic.

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