4篇
您的检索式：作者名="Benjamin Fabian"
|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | A Comparison of security requirements engineering methods显示文摘 | Benjamin Fabian Seda Gorses Maritta Heisel | 2010 | Requirements Eng2010，15，1： | 1 |
| 2 | Security challenges of the EPCglobal network显示文摘 | Benjamin Fabian Oliver Günther | 2009 | Communications of the ACM2009，，7： | 1 |
| 3 | Data-driven comparison of federated learning and model personalization for electric load forecasting显示文摘Residential short-term electric load forecasting is essential in modern decentralized power systems.Load forecasting methods mostly rely on neural networks and require access to private and sensitive electric load data for model training.Conventional neural network training aggregates all data on a centralized server to train one global model.However,the aggregation of user data introduces security and data privacy risks.In contrast,this study investigates the modern neural network training methods of federated learning and model personalization as potential solutions to security and data privacy problems.Within an extensive simulation approach,the investigated methods are compared to the conventional centralized method and a pre-trained baseline predictor to compare their respective performances.This study identifies that the underlying data structure of electric load data has a significant influence on the loss of a model.We therefore conclude that a comparison of loss distributions will in fact be considered a comparison of data structures,rather than a comparison of the model performance.As an alternative method of comparison of loss values,this study develops the'differential comparison'.The method allows for the isolated comparison of model loss differences by only comparing the losses of two models generated by the same data sample to build a distribution of differences.The differential comparison method was then used to identify model personalization as the best performing model training method for load forecasting among all analyzed methods,with a superior performance in 59.1%of all cases. | Fabian Widmer Severin Nowak Benjamin Bowler Patrick Huber Antonios Papaemmanouil | 2023 | Energy and AI2023，14，4： | 0 |
| 4 | A narrative review on endopancreatic interventions: an innovative access to the pancreas显示文摘The natural connection between the duodenum and the pancreatic duct enables a minimally invasive access to the pancreas.Endoscopically this access is already regularly used,mainly for diagnostic and even for certain therapeutic purposes.With per-oral pancreatoscopy the endopancreatic approach allows the direct visualization of the pancreatic duct system potentially improving the diagnostic work-up of pancreatic cystic neoplasms,intrapancreatic strictures and removal of pancreatic duct stones.However,the endopancreatic access can equally be applied for surgical interventions.The objective of this review is to summarize endoscopic and surgical interventions using the endopancreatic access.Endopancreatic surgery stands for a further development of the endoscopic technique:a rigid endoscope is transabdominally introduced over the duodenum and the papilla to enable resections of strictures and inflamed tissue from inside the pancreas under visual control.While the orientation and localization of target structures using this minimally invasive approach is difficult,the development of an accurate image guidance system will play a key role for the clinical implementation and widespread use of endoscopic and surgical endopancreatic interventions. | Michael C.Frey Benjamin Eigl Daniel C.Steinemann Thilo Hackert Fabian Rossler Felix Nickel Beat P.Muller-Stich Kaspar Z’graggen Philip C.Muller | 2021 | Journal of Pancreatology2021，4，2： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员