
The initial data is given from September 2022 to September 2023 with a 1-hour interval for the Dnipropetrovsk region. The data smoothing is provided on the basis of the Kalman filter. The files contain datasets obtained by Kalman filtering with the parameters ση=0.1 and ση=0.7. The corresponding datasets are genetared in the following paper:Gorev, V., Shedlovska, Y., Laktionov, I., Diachenko, G., LMS prediction and Kalman filtering for Maize Disease Occurrence, Computer Science, Software Engineering and Cyber Security, 4 (2024), in press.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
