Advanced manufacturing is one of the core national strategies in the US (AMP), Germany
(Industry 4.0) and China (Made-in China 2025). The emergence of the concept of Cyber …

Manufacturing is continuously evolving from concept development to methods and tools
available for the production of goods for use or sale. Traditionally, manufacturing refers to an …

介绍了大数据时代数据挖掘的特点, 任务及难点, 分析了大数据挖掘的核心架构,
提出大数据的核心和本质, 即应用, 算法, 数据和平台4 个要素的有机结合. 在此基础上介绍了本 …

Fueled by increasing data availability and the rise of technological advances for data
processing and communication, business analytics is a key driver for smart manufacturing …

Modern manufacturing systems are installed with smart devices such as sensors that
monitor system performance and collect data to manage uncertainties in their operations …

Protein-protein interaction (PPI) plays crucial roles in the performance of various biological
processes. A variety of methods are dedicated to identify whether proteins have interaction …

Diese Dissertation entstand an der Universität Stuttgart im Rahmen der Graduiertenschule
GSaME (Graduate School of Excellence advanced Manufacturing Engineering) in …

Appropriate maintenance measures, which are carried out at the right time are a key factor to
secure plant availability, product quality and process efficiency in modern manufacturing …

In disaster management, people are interested in the development and the evolution of the
disasters. If they intend to track the information of the disaster, they will be overwhelmed by …

Task scheduling and preemption are two important functions in data-parallel clusters.
Though directed acyclic graph task dependencies are common in data-parallel clusters …