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A hybrid framework for solving multi-objective scheduling problems

A hybrid framework for solving multi-objective scheduling problems

The proposed new technologies in the context of industry 4.0 challenge the current practices of scheduling in industry and their associated research in academia. The conventional optimization techniques that are employed for solving ...
Experience Report SAP TechEd && d-code 2014

Experience Report SAP TechEd && d-code 2014

From 11th to 13th of November in 2014, the SAP TechEd and d-code once again drew a variety of visitors to the Berlin exhibition halls. Among the visitors were two students of the Faculty of Computer Science of the Otto von Guericke ...
Occupancy Forecasting for Hotels with Machine Learning

Occupancy Forecasting for Hotels with Machine Learning

Forecasting daily occupancy is very important for revenue management in a hotel. This can be challenging as occupancy values can fluctuate greatly. A study was conducted to try to make forecasts for sixteen hotels in Berlin using traditional ...
Management and controlling of data science projects

Management and controlling of data science projects

Data science aims to extract knowledge from data using structured analysis, which promises, among other things, improved performance for businesses and other organizations (Martinez 2017). For example, e-commerce companies such as Amazon are ...
Framework for Automated Code Smell Correction in a Brownfield Context

Framework for Automated Code Smell Correction in a Brownfield Context

In the range of software development and –service gradually emerges the problem of the “fluxing” of source codes . For several reasons such as copy/paste programming, different levels of expertise among the developers, or deadlines that have ...

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