The phrase "adjacent times" is correct and usable in written English.
It can be used to refer to periods or instances that are next to each other in time, often in contexts involving scheduling or events.
Example: "The meetings are scheduled for adjacent times, making it difficult to attend both."
Alternatives: "consecutive times" or "neighboring times".
Crosses correspond to stable cases and vertical bars to unstable ones with the height of the bar indicating the magnitude of possible errors estimated from taking values at adjacent times t o ±2.
To improve noise immunity under Gaussian noise, the squared autocorrelation of errors at adjacent times was used in [10], and in [11], the fourth order cumulant of instantaneous error was adopted.
By analyzing two epidemiological examples using stKDE-based RRF, we further demonstrate that the efficacy of the proposed approach is satisfactory because stKDE not only makes use of the full sample rather than resort to sample splitting [18] but also borrow information from neighboring points in spaces and adjacent times periods, thus producing more stable estimation [14].
There are, thus, comparisons of similar devices with each other, and comparisons of different devices at adjacent times.
Similarly, we define time neighbors simply by the two adjacent time points, with associated time adjacency matrix Q.
We chose a 2 ms spacing between adjacent time points for the classifier.
Adjacent time bins were defined as belonging to the same cluster.
For the same reason, it is impossible for two events to occur in the same column in adjacent time bins.
Likewise, it is impossible for two events to occur in the same column in adjacent time bins.
Time points were first grouped into clusters representing possible effects based on criteria adopted from prior studies (p < 0.3 for at least 10 adjacent time points as in8,9,29).
The instantaneous distance vector and the two velocity vectors that connect the two adjacent time points are used for training a binary classifier using a naive Bayes method (Methods).
