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ICCS
2007
Springer
15 years 4 months ago
Hessian-Based Model Reduction for Large-Scale Data Assimilation Problems
Assimilation of spatially- and temporally-distributed state observations into simulations of dynamical systems stemming from discretized PDEs leads to inverse problems with high-di...
Omar Bashir, Omar Ghattas, Judith Hill, Bart G. va...
CEC
2010
IEEE
14 years 8 months ago
Comparison of GA and PSO performance in parameter estimation of microbial growth models: A case-study using experimental data
In this work we examined the performance of two evolutionary algorithms, a genetic algorithm (GA) and particle swarm optimization (PSO), in the estimation of the parameters of a mo...
Dulce Calcada, Agostinho Rosa, Luis C. Duarte, Vit...
EMSOFT
2010
Springer
14 years 8 months ago
Modeling buffers with data refresh semantics in automotive architectures
Automotive architectures consist of multiple electronic control units (ECUs) which run distributed control applications. Such ECUs are connected to sensors and actuators and commu...
Linh Thi Xuan Phan, Reinhard Schneider, Samarjit C...
CISS
2007
IEEE
15 years 4 months ago
Towards Optimal Design of Data Hiding Algorithms Against Nonparametric Adversary Models
Abstract—This paper presents a novel zero-sum watermarking game between a detection algorithm and a data hiding adversary. Contrary to previous research, the detection algorithm ...
Alvaro A. Cárdenas, George V. Moustakides, ...
AIME
2007
Springer
15 years 4 months ago
A Causal Modeling Framework for Generating Clinical Practice Guidelines from Data
Abstract. The practice of medicine is becoming increasingly evidencebased and clinical practice guidelines (CPGs) are necessary for advancing evidence-based medicine (EBM). We hypo...
Subramani Mani, Constantin F. Aliferis