Routing of Electric Vehicles With Intermediary Charging Stations: A Reinforcement Learning Approach [0.03%]
基于强化学习的带充电站电动汽车路径规划方法
Marina Dorokhova,Christophe Ballif,Nicolas Wyrsch
Marina Dorokhova
In the past few years, the importance of electric mobility has increased in response to growing concerns about climate change. However, limited cruising range and sparse charging infrastructure could restrain a massive deployment of electri...
Zhiqian Chen,Lei Zhang,Gaurav Kolhe et al.
Zhiqian Chen et al.
Circuit obfuscation is a recently proposed defense mechanism to protect the intellectual property (IP) of digital integrated circuits (ICs) from reverse engineering. There have been effective schemes, such as satisfiability (SAT)-checking b...
Carolina E S Mattsson,Frank W Takes,Eelke M Heemskerk et al.
Carolina E S Mattsson et al.
Production networks are integral to economic dynamics, yet dis-aggregated network data on inter-firm trade is rarely collected and often proprietary. Here we situate company-level production networks within a wider space of networks that ar...
Damiano Archetti,Alexandra L Young,Neil P Oxtoby et al.
Damiano Archetti et al.
Alzheimer's disease (AD) is a neurodegenerative disorder which spans several years from preclinical manifestations to dementia. In recent years, interest in the application of machine learning (ML) algorithms to personalized medicine has gr...
Adam Kapelner,Justin Bleich,Alina Levine et al.
Adam Kapelner et al.
We present methodological advances in understanding the effectiveness of personalized medicine models and supply easy-to-use open-source software. Personalized medicine involves the systematic use of individual patient characteristics to de...
Gianfranco Chicco
Gianfranco Chicco
In the smart grid era, the number of data available for different applications has increased considerably. However, data could not perfectly represent the phenomenon or process under analysis, so their usability requires a preliminary valid...
Up-to-the-Minute Privacy Policies via Gossips in Participatory Epidemiological Studies [0.03%]
基于八卦的消息传递在参与式流行病学研究中的隐私保护政策更新机制
Aakash Sharma,Thomas Bye Nilsen,Katja Pauline Czerwinska et al.
Aakash Sharma et al.
Researchers and researched populations are actively involved in participatory epidemiology. Such studies collect many details about an individual. Recent developments in statistical inferences can lead to sensitive information leaks from se...
Increasing the Execution Speed of Containerized Analysis Workflows Using an Image Snapshotter in Combination With CVMFS [0.03%]
基于镜像快照技术的容器化分析工作流加速方法研究——以CVMFS为例
Simone Mosciatti,Clemens Lange,Jakob Blomer
Simone Mosciatti
The past years have shown a revolution in the way scientific workloads are being executed thanks to the wide adoption of software containers. These containers run largely isolated from the host system, ensuring that the development and exec...
Iowa Urban FEWS: Integrating Social and Biophysical Models for Exploration of Urban Food, Energy, and Water Systems [0.03%]
基于社会与生物物理模型的城市食品能源水系统集成研究——以爱荷华州为例
Jan Thompson,Baskar Ganapathysubramanian,Wei Chen et al.
Jan Thompson et al.
Most people in the world live in urban areas, and their high population densities, heavy reliance on external sources of food, energy, and water, and disproportionately large waste production result in severe and cumulative negative environ...
Scalable Declarative HEP Analysis Workflows for Containerised Compute Clouds [0.03%]
可扩展的声明式HEP分析工作流用于容器计算云
Tibor Šimko,Lukas Alexander Heinrich,Clemens Lange et al.
Tibor Šimko et al.
We describe a novel approach for experimental High-Energy Physics (HEP) data analyses that is centred around the declarative rather than imperative paradigm when describing analysis computational tasks. The analysis process can be structure...