The recycling market is expanding, even to assembly plants! Using a software ecosystem, the European ALICIA project aims to promote the circulation of production resources. Scientists from IMT Atlantique involved in the project are working to develop a platform to optimize production lines, by minimizing machine changeovers and promoting the use of second-hand resources.
Intense rainfall events linked to climate change generate dynamic runoff which, through erosion, removes materials from the soil, including contaminants. At IMT Nord Europe, research teams are carrying out complementary measurement and modeling work to understand how this displaced matter enters the water cycle, and how to better manage territories.
https://imtech.imt.fr/wp-content/uploads/2024/06/cole-farlow-y8_-hcvH6cc-unsplash.jpg11191500I'MTechhttps://imtech.imt.fr/wp-content/themes/imtech-enfold-child/images/logo-imtech.pngI'MTech2024-10-25 09:00:032024-10-22 17:02:08Torrential rain: polluting a long, calm river
StressID is a multimodal database for identifying stress. The project represents one of the largest collections of audio, video and physiological expressions of stress collected from numerous participants. It aims to provide an experimental protocol that is simple to reproduce. Maria Zuluaga, a researcher in the Data Science department at EURECOM, and her PhD student Hava Chaptoukaev tell us all about StressID.
https://imtech.imt.fr/wp-content/uploads/2024/04/Une-StressID.jpg9811300I'MTechhttps://imtech.imt.fr/wp-content/themes/imtech-enfold-child/images/logo-imtech.pngI'MTech2024-10-23 09:00:272024-10-17 11:39:40StressID, a multimodal database for detecting stress
We may request cookies to be set on your device. We use cookies to let us know when you visit our websites, how you interact with us, to enrich your user experience, and to customize your relationship with our website.
Click on the different category headings to find out more. You can also change some of your preferences. Note that blocking some types of cookies may impact your experience on our websites and the services we are able to offer.
Essential Website Cookies
These cookies are strictly necessary to provide you with services available through our website and to use some of its features.
Because these cookies are strictly necessary to deliver the website, you cannot refuse them without impacting how our site functions. You can block or delete them by changing your browser settings and force blocking all cookies on this website.
Google Analytics Cookies
These cookies collect information in a compiled manner to help us understand how our site is used and how well our marketing efforts are performing, or to help us personalize our site to improve your browsing experience. < br>If you do not want your visit to be tracked on our site, you can block this tracking in your browser here:
Other external services
We also use different external services like Google Maps and external Video providers. Since these providers may collect personal data like your IP address we allow you to block them here. Please be aware that this might heavily reduce the functionality and appearance of our site. Changes will take effect once you reload the page.
When assembly lines become circular
In the News, IndustryThe recycling market is expanding, even to assembly plants! Using a software ecosystem, the European ALICIA project aims to promote the circulation of production resources. Scientists from IMT Atlantique involved in the project are working to develop a platform to optimize production lines, by minimizing machine changeovers and promoting the use of second-hand resources.
Torrential rain: polluting a long, calm river
Energy & environment, In the NewsIntense rainfall events linked to climate change generate dynamic runoff which, through erosion, removes materials from the soil, including contaminants. At IMT Nord Europe, research teams are carrying out complementary measurement and modeling work to understand how this displaced matter enters the water cycle, and how to better manage territories.
StressID, a multimodal database for detecting stress
Digital, Health, In the NewsStressID is a multimodal database for identifying stress. The project represents one of the largest collections of audio, video and physiological expressions of stress collected from numerous participants. It aims to provide an experimental protocol that is simple to reproduce. Maria Zuluaga, a researcher in the Data Science department at EURECOM, and her PhD student Hava Chaptoukaev tell us all about StressID.