Sheffield Science Gateway. Application of particle physics muon detection technology to carbon storage and the mitigation of climate change

Source URL: ssg.sheffield.ac.uk

• Chemistry
• Chemical engineering
• Astroparticle physics
• Climate change
• Carbon capture and storage
• Cosmic ray
• Muon
• Climate change mitigation
• Carbon dioxide
• Carbon sequestration
• Physics

NEXT-GENERATION ANTIVIRUS CYLANCEPROTECT The cybersecurity industry is wrought with change, yet the fundamentals of malware detection have

Source URL: cdn2.hubspot.net

The Incoherent Feedforward Loop Can Provide Fold-Change Detection in Gene Regulation

Source URL: www.weizmann.ac.il

• Network motif
• Transcription factor
• Promoter
• Activator
• Regulation of gene expression
• Transcriptional regulation
• Feedback
• Signal transduction
• Transcription
• Biology
• Gene expression
• Biochemistry

Satellite-Based Monitoring of Protected Natural Areas of the Samara Region By V.V. Sergeev1, A.V. Chernov2, O.A. Belova3 Key words: protected natural areas, remote sensing data, monitoring, change detection

Source URL: www.zikj.ru

• SPOT
• Spot Image
• Geography
• Bezenchuksky District
• Remote sensing
• Samara
• Computer vision
• Earth
• Samara
• Russia

NETWORK FOR THE DETECTION OF STRATOSPHERIC CHANGE The ozonesonde working group

Source URL: www-das.uwyo.edu

MDL AND SIGNAL CHANGE DETECTION IN MACHINE CONDITION MONITORING Jenni Hulkkonen1 and Jukka Heikkonen2 Helsinki University of Technology Department of Biomedical Engineering and Computational Science P.O.Box 9203, FI-0201

Source URL: sp.cs.tut.fi

Learning Sparse Penalties for Change-Point Detection using Max Margin Interval Regression Guillem Rigaill∗ Unit´e de Recherche en G´enomique V´eg´etale INRA-CNRS-Universit´e d’Evry Val d’E

Source URL: jmlr.org

Fluxes and Change Detection in Nutrients, Chlorophyll, Phytoplankton Composition and Primary Production Terry E. Whitledge, Sang H. Lee and Michael Kong Institute of Marine Science, University of Alaska Dept. of Oceanogr

Source URL: www.arctic.noaa.gov

CHANGE DETECTION IN STREAMS OF SIGNALS WITH SPARSE REPRESENTATIONS Cesare Alippi, Giacomo Boracchi∗ Brendt Wohlberg† Dipartimento di Elettronica, Informazione

Source URL: home.deib.polimi.it

Learning penalties for change-point detection using max-margin interval regression Toby Dylan Hocking and Guillem Rigaill Acknowledgements Gudrun Schleiermacher, Isabelle Janoueix-Lerosey, Francis Bach, Jean-Philippe Ver

Source URL: sugiyama-www.cs.titech.ac.jp