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» Algorithmic Folding Complexity
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ICIAP
1999
ACM
15 years 7 months ago
SAR Image Processing Using Artificial Intelligence Planning
—In recent times, improvements in imaging technology have made available an incredible array of information in image format. While powerful and sophisticated image processing sof...
Forest Fisher, Steve A. Chien, Edisanter Lo, Ronal...
NETWORKING
2007
15 years 4 months ago
On-Line Predictive Load Shedding for Network Monitoring
Building robust network monitoring applications is hard given the unpredictable nature of network traffic. Complex analysis on streaming network data usually leads to overload situ...
Pere Barlet-Ros, Diego Amores-López, Gianlu...
135
Voted
BMCBI
2008
57views more  BMCBI 2008»
15 years 3 months ago
A novel method for high accuracy sumoylation site prediction from protein sequences
Background: Protein sumoylation is an essential dynamic, reversible post translational modification that plays a role in dozens of cellular activities, especially the regulation o...
Jialin Xu, Yun He, Boqin Qiang, Jiangang Yuan, Xia...
114
Voted
BIOINFORMATICS
2005
169views more  BIOINFORMATICS 2005»
15 years 3 months ago
A statistical model providing comprehensive predictions for the mRNA differential display
s Dirk Tremmel, Maximilian Tropschug N. crassa FKBP22 is part of a protein folding helper complex in the ER [oral presentation] Manuela Heiner A carbamate-cleaving catalytic antibo...
David Meintrup, Ellen Reisinger
EUSFLAT
2009
245views Fuzzy Logic» more  EUSFLAT 2009»
15 years 1 months ago
Universal Approximation of a Class of Interval Type-2 Fuzzy Neural Networks Illustrated with the Case of Non-linear Identificati
Neural Networks (NN), Type-1 Fuzzy Logic Systems (T1FLS) and Interval Type-2 Fuzzy Logic Systems (IT2FLS) are universal approximators, they can approximate any non-linear function....
Juan R. Castro, Oscar Castillo, Patricia Melin, An...