In the past decades, various Earth observation-based time series products have emerged, which enabled studies and analysis of global change processes. Besides their contribution to understanding processes, datasets hold enormous potential for predictive modeling thereby meet demands decision makers on future scenarios. order further exploit these data, a novel pixel-based approach has been intr...

The last decade has seen a renaissance in spatial modeling. Increased computational power and the greater availability of spatial data have aided in the creation of new modeling techniques for studying and predicting the growth of cities and urban areas. Cellular automata is one modeling technique that has become widely used and cited in the literature; yet there are still some very basic quest...

Data collected in Run II of the Fermilab Tevatron are searched for indications of new electroweak-scale physics. Rather than focusing on particular new physics scenarios, CDF data are analyzed for discrepancies with the Standard Model prediction. A model-independent approach (Vista) considers gross features of the data, and is sensitive to new large crosssection physics. Further sensitivity to ...

Forensische Analysen mit freien OpenSource Programmen sind seit Dan Farmers und Wietse Venemas ersten und einzigen Forensik-Kurs und der darauf folgenden Veröffentlichung des Coroner’s Toolkits [1] im Jahr 1999 kein unbekannter Faktor mehr. Allerdings mussten sich die OpenSource-Lösung von jeher den Vorwurf gefallen lassen, im Gegensatz zu ihrer kommerziellen Konkurrenz umständlich bedienbar un...

The growing numbers of land change models makes it difficult to select a model at the beginning of an analysis, and is often arbitrary and at the researcher’s discretion. How to select a model at the beginning of an analysis, when multiple are suitable, represents a critical research gap currently understudied, where trade-offs of choosing one model over another are often unknown. Repeatable me...

The early detection of faults (just beginning and still developing) can help avoid system shutdown, breakdown and even catastrophes involving human fatalities and material damage. Computational intelligence techniques are being investigated as extension of the traditional fault diagnosis methods. This paper discusses the properties of the TSK/Mamdani approaches and neuro-fuzzy (NF) fault diagno...

SUMMARY Regression testing is an important activity in software maintenance. Current regression testing strategies can be categorized into two groups: retest all and selective regression testing. Each of these two groups encompasses a variety of strategies. In industrial practice, regression testing procedures vary widely. Sometimes, several regression testing techniques are used in combination...