Search

16437 results for: ‘Z-Blog随心轻蓝单栏博客清爽简洁主题✅项目合作 二开均可 TG:saolei44✅.YMTKyGvxkTR’

  • 31st December 2014 Sol 854

    Posted by jbridges in Mars Science Laboratory Blog on December 31, 2014 We are continuing the Pahrump localities looped drive. MSL is not working full time over the holidays but we had a ‘3-sol’ plan on the 29th December.  I was the Geo Science Theme Lead for the day.

  • University of Leicester A-Zs

    The complete A-Z lists websites for the University's academic departments, services, facilities, research groups, centres, projects, and hosted bodies. Complete A-Z Websites for all of the University’s academic schools and departments.

  • Publications

    Wang, P., Tao, Q., Dong, H., & El-Fallah, G. M. A. M. (2025). Advanced machine learning analysis of radiation hardening in reduced-activation ferritic/martensitic steels. Computational Materials Science. doi:10.1016/j.commatsci.2025.113773 Li, M., Fu, J.

  • Research areas

    We are proud to be one of the world’s leading research-intensive universities. Our research changes the way we think about the past, present and future. Browse our research areas.

  • Huiyu Zhou

    The academic profile of Professor Huiyu Zhou, Professor of Machine Learning at University of Leicester

  • 2016

    Here the list of publications of 2016 can be found.

  • Signal Processing

    Module code: EG7324 This module covers both the analysis and synthesis of discrete-time systems and the two main areas of signal processing: Digital filters and spectrum analysis.

  • Signal Processing

    Module code: EG7324 This module covers both the analysis and synthesis of discrete-time systems and the two main areas of signal processing: Digital filters and spectrum analysis.

  • Signal Processing

    Module code: EG7324 This module covers both the analysis and synthesis of discrete-time systems and the two main areas of signal processing: Digital filters and spectrum analysis.

  • Technology, Organisation and People

    Lead: Professor Zach Lee  The Technology, Organisation, and People (TOP) research group focuses on examining the interplay between technological innovations, data analytics, organisations, and people.

Back to top
MENU