![]() | Up a level |
This graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
Use the mouse wheel or scroll gestures to zoom into the graph.
You can click on the nodes and links to highlight them and move the nodes by dragging them.
Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Dayekh, S., Affes, S., Kandil, N., & Nerguizian, C. (2014, June). Cost-effective localization in underground mines using new SIMO/MIMO-like fingerprints and artificial neural networks [Paper]. IEEE International Conference on Communications (ICC 2014), Sydney, Australia. External link
Dayekh, S., Affes, S., Kandil, N., & Nerguizian, C. (2011, September). Cooperative geo-location in underground mines: A novel fingerprint positioning technique exploiting spatio-temporal diversity [Paper]. 22nd IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2011), Toronto, ON, Canada. External link
Dayekh, S., Affes, S., Kandil, N., & Nerguizian, C. (2011, March). Radio-localization in underground narrow-vein mines using neural networks with in-built tracking and time diversity [Paper]. IEEE Wireless Communications and Networking Conference (WCNC 2011), Cancun, Mexico. External link
Dayekh, S., Affes, S., Kandil, N., & Nerguizian, C. (2011, October). Smart spatio-temporal fingerprinting for cooperative ANN-based wireless localization in underground narrow-vein mines [Paper]. 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies (Isabel 2011), Barcelona, Spain. External link
Dayekh, S., Affes, S., Kandil, N., & Nerguizian, C. (2010, April). Cooperative Localization in Mines Using Fingerprinting and Neural Networks [Paper]. IEEE Wireless Communications and Networking Conference (WCNC 2010), Sydney, Australia. External link