Machine learning for engineering design toward smart customization: A systematic review
In today's manufacturing industry, companies are striving to provide customized products to
maintain competitiveness. The challenge of design customization lies in the company's …
maintain competitiveness. The challenge of design customization lies in the company's …
From personalized medicine to population health: a survey of mHealth sensing techniques
Mobile sensing systems have been widely used as a practical approach to collect
behavioral and health-related information from individuals and to provide timely intervention …
behavioral and health-related information from individuals and to provide timely intervention …
A first look into the carbon footprint of federated learning
Despite impressive results, deep learning-based technologies also raise severe privacy and
environmental concerns induced by the training procedure often conducted in data centers …
environmental concerns induced by the training procedure often conducted in data centers …
Evaluating Sensor Data in the Context of Mobile Crowdsensing
M Blasi - 2022 - dbis.eprints.uni-ulm.de
With the recent rise of the Internet of Things the prevalence of mobile sensors in our daily life
experienced a huge surge. Mobile crowdsensing (MCS) is a new emerging paradigm that …
experienced a huge surge. Mobile crowdsensing (MCS) is a new emerging paradigm that …