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Name: Jam Jahanzeb Behan
Type: User
Company: CellCarta
Location: Antwerp, Belgium
Name: Jam Jahanzeb Behan
Type: User
Company: CellCarta
Location: Antwerp, Belgium
Blood link is a web based application using ASP.Net platform. It will have allowed blood banks, regular donors and Blood donating organizations to have their own profiles according to their required functionalities. Beside from common functionalities the blood banks will have an analysis module for Blood bank blood level Monitoring, Blood Bank Depletion detection with alert generation and blood bank depletion prediction. The regular donors will be facilitated with mobile application where their profile, notifications and reward points would be visible and shared.
This project contains a small toolkit that can use 6 optimization techniques: Evolutionary Algorithm, Evolution Strategy, Evolutionary Programming, Artificial Immune System, Particle Swarm Optimization and Neural Networks. The basic purpose of this toolkit is to present a comparison between different optimization techniques that are used: hence, for the time being, it's restricted to only 2-3 functions for the earlier 5 mentioned and only to a set of defined inputs in case of Neural Networks. The sample inputs for the neural network file are also attached with this project for the user's convenience. This toolkit was designed in NetBeans 8.0.2 and uses the open source libraries JCommon and JFreeCharts, it's requested that you install the above mentioned for this toolkit to work efficiently. Although installation guide for JCommon and JFreeCharts libraries is also attached with this project, I still urge you to go to their official website and follow the steps mentioned their to avoid any inconvenience.
LogMap: An Ontology Alignment and Alignment Repair System
In the course of Image Processing for Recognition, having course code 4577, which was offered for the semester of FALL 2015, the students were given a term project. The purpose of the project was to be able to make an Optical Character Recognizer (OCR), and the following tasks were to be fulfilled: The program should be able to recognize office fonts The program should be able to deal with multiple lines in the given image The program should be able to deal with uppercase letter, lowercase letters and special characters. Produce a documentation to help the user work through the project This project contains: Testing images Database Documentation - also highlights how to use the project MATLAB code itself This is an open repository for anyone who wishes to use and make further progress on this project.
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