Predicting loans in a bank system
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The project is divided in three parts. The reports are available at the following links:
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The project is divided in three parts. The reports are available at the following links:
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The server was developed in Django (python), the client in Android. The full report is available on request only, because sensitive information was documented.
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To solve the task detection task, Hough Circles is used. The classification was made using a neural network developed in Keras. The following links are provided:
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The Prisoner’s Dilemma is widely used to (attempt to) model social/economical interactions. Here we approach its iterative version under several scenarios:
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During a 360 video streaming session, segments of a video can be divided into tiles. Selecting the appropriate tiles with the most appropriate quality, reduces bandwidth consumption and still guarantees a high quality of experience. The following links are provided:
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These homeworks (1,2,3) were passed at full grade. The source code is available at the following link:
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Map based social networks will be more popular in the future. In this project, a hypothetical users network is analyzed.
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Disparity is computed using a multi-layer hierarchical approach. Results are documented in the report. Links are available here:
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A DASH player, developer at the University of Padova, was used to extract logs from videos during mobility and static conditions. The thesis link and presentation (written in Italian) are available:
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Automatic Login to Vodafone-WiFi hotspots in Italy, this script is cross platform so it can be used on any os: Linux, Windows and MacOS. It allows to connect to captive portals automatically.