15th International Conference on Emerging Ubiquitous Systems and Pervasive Networks / 14th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare EUSPN/ICTH 2024 Edited by Elhadi E. Shakshuki Professor Volume 251, Pages 1-818 (2024) Previous ...
select article A Brief Review of Graph Convolutional Neural Network Based Learning for classifying remote sensing images Research articleOpen access A Brief Review of Graph Convolutional Neural Network Based Learning for classifying remote sensing images Sohaib Baroud, Soumia Chokri, Safaa Belhaous, Moham...
Rastegari, M., Ordonez, V., Redmon, J., Farhadi, A.: Xnor-net: Imagenet classification using binary convolutional neural networks. In: European Conference on Computer Vision. Springer (2016) Roth, W., Schindler, G., Zöhrer, M., Pfeifenberger, L., Peharz, R., Tschiatschek, S.,...
Pham, D., Karaboga, D.: Intelligent Optimisation Techniques: Genetic Algorithms, Tabu Search, Simulated Annealing and Neural Networks. Springer-Verlag New York, Inc, Secaucus (1998) 33. Priyantha, N., Chakraborty, A., Balakrishnan, H.: The Cricket location-support system. In: MobiComp, ...
• Track 2: Graphs and Interconnection networks • Track 3: Health and Biomedical Informatics • Track 4: Distributed Algorithms and Graph Computing • Track 5: Parallel, Distributed and Edge-Computing Systems • Track 6: Mobile Computing and Communication ...
(F and G) Pie graph (F) and heatmap (G) illustrating number and proportion of gained, lost, and retained H3K27ac sites consistent between BT245 and DIPG-XIII K27M expressing models as compared with KO lines. (H) Gene plot illustrating patterns of H3K27ac and super enhancers between ...
Figure 12b shows a graph of the where c(x,y) is the concentration at interpolated location p = (x,y), c(xi,yi) is the concentration at interpolating locations (measurement points) pi = (xi,yi), and Sensors 2021, 21, 5219 15 of 28 time log for a sensor output during a ...