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Computational Intelligence, ISSN 0824-7935, 02/2015, Volume 31, Issue 1, pp. 132 - 164
Twitter is among the fastest‐growing microblogging and online social networking services. Messages posted on Twitter (tweets) have been reporting everything... 
Twitter data stream | monitoring social media | event identification | event detection | microblogs | MICROBLOG | INFORMATION | TRACKING | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Online social networks | Studies | Social networks | Messages | Intelligence | User-generated content | Organizations | Texts | Data mining | Reporting | Streams
Journal Article
IEEE Transactions on Circuits and Systems for Video Technology, ISSN 1051-8215, 11/2008, Volume 18, Issue 11, pp. 1544 - 1554
Journal Article
International Journal of Computer Vision, ISSN 0920-5691, 2018, Volume 127, Issue 8, pp. 993 - 1011
Fast abnormal event detection meets the growing demand to process an enormous number of surveillance videos. Based on the inherent redundancy of video... 
Abnormal event | Event detection | Realtime detection | Video analysis | ALGORITHM | ANOMALY DETECTION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Solvers | Frames per second | Microprocessors | Redundancy | Personal computers | Extreme values
Journal Article
Hypertension, ISSN 0194-911X, 06/2018, Volume 71, Issue 6, pp. 1269 - 1324
Journal Article
Geophysical Research Letters, ISSN 0094-8276, 02/2016, Volume 43, Issue 3, pp. 1340 - 1348
We investigate changes in daily precipitation extremes using Tropical Rainfall Measuring Mission (TRMM) data (1998–2013), which coincides with the “global... 
precipitation | rainfall | climate | drought | trends | extreme | VARIABILITY | GEOSCIENCES, MULTIDISCIPLINARY | EVENTS | Rain | Precipitation | Global warming | Meteorological satellites | Confidence intervals | Dry season | Oceans | Trends | Land | Drying
Journal Article
IEEE Communications Letters, ISSN 1089-7798, 03/2019, Volume 23, Issue 3, pp. 418 - 421
Journal Article
Signal Processing: Image Communication, ISSN 0923-5965, 09/2016, Volume 47, pp. 358 - 368
Abnormal behavior detection in crowded scenes is extremely challenging in the field of computer vision due to severe inter-object occlusions, varying crowd... 
Spatial–temporal CNN | Crowded scene | Surveillance | Anomaly detection | Spatial-temporal CNN | EVENT DETECTION | MOTION | MODEL | ENGINEERING, ELECTRICAL & ELECTRONIC | Machine vision | Neural networks | Analysis
Journal Article