Deformable models are segmentation techniques that adapt a curve with the goal of
maximizing its overlap with the actual contour of an object of interest within an image. Such …

Interactive multiobjective optimization methods incorporate preferences from a human
decision maker in the optimization process iteratively. This allows the decision maker to …

Nature-inspired algorithms are a very popular tool for solving optimization problems (Yang
2014),(Hassanien and Emary 2016). Numerous variants of nature-inspired algorithms have …

Combining simulation models and multi-objective optimization can help solving complex
land use allocation problems by considering multiple, often competing demands on …

Optimizing the reliability and the robustness of a design is important but often unaffordable
due to high sample requirements. Surrogate models based on statistical and machine …

In systems biology, qualitative data are often generated, but rarely used to parameterize
models. We demonstrate an approach in which qualitative and quantitative data can be …

Many islands have high electricity prices due to the reliance on imported diesel. However,
hybrid energy systems (HES) which combine renewable generation with backup generators …

Corticospinal neurons (SPI), thick-tufted pyramidal neurons in motor cortex layer 5B that
project caudally via the medullary pyramids, display distinct class-specific …

The receiver at the optical-to-thermo-hydraulic interface of a Solar Tower plant needs careful
optimization in the design stage to guarantee maximum yield during operation. Due to the …

Use of public-access Automated External Defibrillators (AEDs) is showing promising results
in decreasing collapse-to-shock times among Sudden Cardiac Arrest (SCA) patients which …