Databases:
- CiteSeerX (digital library and search engine)
- IEEE (The IEEE provides access to nearly all the resources Article, Journals, conferences,books , learning I need there are open articles but my DIT account gives me greater access, and its my favorite to use)
- Science Direct (huge database like the IEEE)
- Emerald (huge database also like the IEEE)
- Computer Science Student Resources
- arxiv::CoRR – Computing Research Repository of free papers.
Search Engine:
- Google Scholar (peer-reviewed papers, theses, e.c.t)
- Dit Summon (Even searches for books in the DIT library)
- TechXtra (Searches Multiple Sites)
Special Interest Groups:
- SIGART - Artificial Intelligence
- SIGBED - Embedded Systems
- Real-time Astronomical Spectroscopy
Machine Learning:
- Easy to understand NN in C++
- Caltech machine learning (online training really good)
- The backpropagation algorithm Neural Networks - A Systematic Introduction by Raúl Rojas (ISBN 978-3540605058)
- Stuttgart Neural Network Simulator (one of the main software tools)
SNNS is a software simulator for neural networks on Unix workstations developed at the Institute for Parallel and Distributed High Performance Systems (IPVR) at the University of Stuttgart. The goal of the SNNS project is to create an efficient and flexible simulation environment for research on and application of neural nets. - The Swiss AI Lab IDSIA (cutting edge research center at the moment 2013)
- Machine Learning Research at google
- Google Research - Google papers/research areas.
Other
- Student access to webcourses.
- Resources for Computing Postgraduates (DIT)
- Prof. Jürgen Schmidhuber (one of the main professors in AI)
- Journal citation reports.
- Find a conference.
- Remote Sensing
- DIT Class Blog
This blog is for students of the MSc in Computing in the Dublin Institute of Technology. - Arduino
- Rasbery Pi
- Journal Checking tools:
- Books I've found interesting on this blog.
- Radiometry and photometry FAQ
- Artificial Neural Networks: applications to Spectroscopy
- Remote Sensing via Spectrum
- References for the Full Spectral Imaging Project
- SpectralAnalysis of Data
- Geoscience and Remote Sensing, IEEE
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