... enabled by such Internet-based applications as Microsoft Teams, Zoom, and others. Remote employees may be more casual with cybersecurity, which further increases the risk of cyberattacks. Successful cyberattacks against oil and gas assets or operations have the capacity to cripple economies, disrupt power...

..., with variations between the two sites. We also found that CAs had more explanatory power for adjustments than TAs. Alex Greer, College of Emergency Preparedness, Homeland Security and Cybersecurity, State University of New York at Albany, Albany, NY 12222, USA. Email: agreer@albany.edu 11 9 2019 18...

... and efficiently recommending the sections to be labeled for learning in the next iteration. digital transformation digital data sets data cybersecurity Digital processing has been used in geophysical workflows for decades, yet many operations are still executed in a manual or semimanual fashion...

... media, cybersecurity, self-driving vehicles, healthcare, and many others. Driven by this as well as the advances in graphics-processing unit computing technology and the rapidly increasing data volumes within the geoscience community, the oil and gas industry has recently embraced machine learning...

.... Jeremy Vila received a Ph.D. (2015) in electrical and computer engineering in signal processing and machine learning from Ohio State University. He previously worked at MIT Lincoln Laboratory, applying machine learning for cybersecurity problems. He is now a data science researcher at Shell...

... sector seem likely to have to deal with cybersecurity as a growing threat, along with the growing general security threats and unrest in areas where seismic has been acquired safely for decades. Within the scope of this study, these are all similar, and they average out at a ratio value close to one...

... science researcher at Shell, specializing in DL-based algorithms on geophysical and petrophysical data. He previously worked at MIT Lincoln Laboratory, applying machine learning for cybersecurity problems. His primary research interests include DL, compressed sensing, and Bayesian graphical networks...

... the Big Data, cybersecurity standards must be implemented. However, the implementation of such standards is outside the scope of academic projects and necessitates close collaboration with the industry. Utilizing the SM infrastructure as an EEWP is technically feasible. The IoT-based infrastructure...

... 36 , 5 – 41 , doi: 10.1177/8755293019878199 . Regional Resiliency Assessment Program (RRAP) ( 2019 ). Resiliency assessment: Washington State transportation systems , Department of Homeland Security Cybersecurity and Infrastructure Security Agency Regional Resilience Assessment Program...

... expanded responsibilities to FERC through various laws to include proposal review of interstate natural gas pipelines, storage projects, liquified natural gas terminals, responsibilities relating to bulk-power system reliability and cybersecurity, and licenses for non-federal hydropower projects...

... with conventional geology and physics-based approaches. Multivariate time series clustering and classification (TSC) have been an active area of research in medical science, stock exchange, acoustic scene analysis, speech recognition, and cybersecurity ( Nwe et al., 2018 ; Rajkomar et al., 2018 ; Susto et...

... of false and missed events. The ShakeAlert 2.0 system has also satisfied government cybersecurity requirements and includes improved operational procedures. The ShakeAlert 2.0 algorithm and hardware architecture, shown schematically in Figures S1 and S2 (available in the supplemental material...