The Genetic Algorithm (GA) is a popular global search algorithm that enjoyed great success applications in many fields. It&rsquo\;s very flexible and effective. However\, GA is hindered by performance challenges\: difficult-to-reach optimal solutions for complex problems and slow convergence speed for difficult problems.
END:VEVENT BEGIN:VEVENT DTSTAMP;VALUE=DATE-TIME:20130618T234437Z DTSTART;VALUE=DATE-TIME:20120310T120000Z DTEND;VALUE=DATE-TIME:20120311T210000Z UID:http://www.cs.gsu.edu/?q=node/493 URL;VALUE=URI:http://www.cs.gsu.edu/?q=node/493 SUMMARY:Second Annual Symposium on Computing for Development (ACM DEV 2012) DESCRIPTION:Searching for exoplanets requires extensive data mining and cross-checking to confirm discoveries. \; It also requires proper assembly of search catalogs\, along with visualization tools that can be used to sort through large numbers of potential planets. I will demonstrate several such tools developed for the exoplanet program at Vanderbilt\, many of which can be easily repurposed for a wide range of astronomical and other scientific projects.
END:VEVENT BEGIN:VEVENT DTSTAMP;VALUE=DATE-TIME:20130618T234437Z DTSTART;VALUE=DATE-TIME:20120316T130000Z DTEND;VALUE=DATE-TIME:20120316T210000Z UID:http://www.cs.gsu.edu/?q=node/566 URL;VALUE=URI:http://www.cs.gsu.edu/?q=node/566 SUMMARY:Visual Propaganda and Online Radicalization Conference END:VEVENT BEGIN:VEVENT DTSTAMP;VALUE=DATE-TIME:20130618T234437Z DTSTART;VALUE=DATE-TIME:20120321T150000Z DTEND;VALUE=DATE-TIME:20120321T170000Z UID:http://www.cs.gsu.edu/?q=node/568 URL;VALUE=URI:http://www.cs.gsu.edu/?q=node/568 SUMMARY:Protein Tertiary Model Assessment Using Granular Machine Learning Techniques DESCRIPTION:The automatic prediction of protein three-dimensional structures from an amino acid sequence has become one of the most important and researched fields in bioinformatics. As models are not experimental structures determined with known accuracy but rather with prediction\, it is vital to determine estimates of a model'\;s quality. \; We attempt to solve this problem using machine learning techniques and information from both the sequence and structure of the protein. END:VEVENT BEGIN:VEVENT DTSTAMP;VALUE=DATE-TIME:20130618T234437Z DTSTART;VALUE=DATE-TIME:20120323T190000Z DTEND;VALUE=DATE-TIME:20120323T210000Z UID:http://www.cs.gsu.edu/?q=node/571 URL;VALUE=URI:http://www.cs.gsu.edu/?q=node/571 SUMMARY:Data Collection and Capacity Analysis in Large-Scale Wireless Sensor Networks DESCRIPTION:
In this dissertation\, we study data collection and its achievable network capacity in large-scale Wireless Sensor Networks (WSNs). Firstly\, we investigate the data collection issue in dual-radio multi-channel WSNs under the protocol interference model. We propose a multi-path scheduling algorithm for snapshot data collection in single-radio multi-channel WSNs and derive its network capacity\, which is proven to have a tighter bound compared with the existing best result. We subsequently propose a novel continuous data collection algorithm for dual-radio multi-channel WSNs. END:VEVENT BEGIN:VEVENT DTSTAMP;VALUE=DATE-TIME:20130618T234437Z DTSTART;VALUE=DATE-TIME:20120328T170000Z DTEND;VALUE=DATE-TIME:20120328T180000Z UID:http://www.cs.gsu.edu/?q=node/569 URL;VALUE=URI:http://www.cs.gsu.edu/?q=node/569 SUMMARY:NeuronViz\: A Cloud-Based Collaborative Platform for Neuroscientists DESCRIPTION:
In the field of neuroscience\, it is important to share knowledge of identified neurons among neuroscientists. This project presents a cloud-based collaborative platform for neuroscientists to browse and edit information about identified neurons online. NeuronViz is an ongoing effort that builds on the NeuronBank project\, which was started several years ago by a group of faculty members and students from Computer Science and the Neuroscience Institute. END:VEVENT END:VCALENDAR