Event Type(事件類型)到底是什麼？
Event Type 事件類型 - This letter proposes an attention-based convolutional neural network architecture for multitasking learning to accurately classify not only the presence of an earthquake but also the event type of the earthquake. [1] Descriptive statistics were performed to examine the association between sports, event type and gender. [2] We utilized the manufacturers, brand names, and product codes as search terms from which medical device reports including structured data and narrative texts were extracted, followed by a manual review of the narrative texts, reporter occupation, device involved, event type and the phase of the event; finally, patient outcomes were recorded and analyzed as per CE categories and characteristics. [3] We collected and analyzed information about the event type, date received, report source, source type, and manufacturer. [4] Event Detection (ED) aims to identify event trigger words from a given text and classify it into an event type. [5] HSA participants imagined less other-referential information than LSA participants, regardless of the event type. [6] The methodology relies on the definition of two key time parameters for each event type: event response time (RT) and event delay response time (DRT). [7] In addition to interval censoring, another common complication is that the event type is missing for some study participants. [8] , sport/event type, facility/schedule limitations, team size/change over time). [9] From the ad network standpoint, a user’s activity is a multitype sequence of temporal events consisting of event types and time intervals. [10] We also observed correlations between event types (e. [11] Third, the impact of geopolitics on energy trade is heterogeneous in terms of national attribute characteristics and geo-event types. [12] The classification results show that the classification accuracy reaches 86% and the method can tell both the event type and radial distance. [13] 25 ft for each event type. [14] Further, we show how the segmentation results can be used to conduct spatially and temporally precise analytics by quantifying distributions of extreme precipitation conditioned on event types (TC or AR) at regional scales. [15] In its simplest form, however, an event model must contain infor mational and temporal facets: the event type or name is needed as a humanand machine-understandable label, and a timestamp is needed because events occur at a certain moment in time or span an interval. [16] Participants' response times were primarily affected by the number of event types, the similarity of sequences (measured by the Levenshtein distance) and the edit types (nine combinations of deletion, insertion and substitution). [17] , Humate® P) and/or event type (e. [18] Scripts produced with MASC include (1) English descriptions of sub-events that comprise a larger, complex event; (2) event types for each of those events; (3) a record of entities expected to participate in multiple sub-events; and (4) temporal sequencing between the sub-events. [19] In current event detection systems (EDSs), signal noise and uncertainties often cause missed and false alarms, and automated diagnosis of the event type is usually restricted to certain event types. [20] We developed a highly-selective technique to measure the energy loss and linear-energy-transfer (LET) spectra of energetic charged particles in high-resolution and over a large collection of particle-event types. [21] Among 20 patients who had video recordings of both PNES and ES, 40% displayed the concordant hypokinetic phenotypes for PNES and seizures while 15% had hyperkinetic presentation of both event types. [22] Key trends in the data that are parameterized with the model include: (a) the enrichment of high-frequency amplitudes for in-slab versus interface events, as modeled by a depth-dependent stress parameter, and (b) attenuation attributes that vary with event type and region, including consideration of fore-arc versus back-arc settings. [23] With increasing CAC, hazard ratios increased for all event types, with no apparent upper CAC threshold. [24] The characteristics of each event type are discussed in terms of Vp/Vs values, phase delay times, seismic cluster shapes, and waveform similarity. [25] We revealed AS-mediated translational repression that was exerted in an event type-dependent manner. [26] With increasing CAC, hazard ratios increased for all event types, with no apparent upper CAC threshold. [27] We collected and analyzed information about the event type, date received, report source, source type, and manufacturer. [28]這封信提出了一種基於注意力的捲積神經網絡架構，用於多任務學習，不僅可以準確分類地震的存在，還可以準確分類地震的事件類型。 [1] 進行描述性統計以檢查運動、事件類型和性別之間的關聯。