時間的に変化とは何ですか？
Temporally Varying 時間的に変化 - The occupancy and relative abundance of species are temporally varying. [1] Robust Principal Component Analysis (RPCA), as one of the most popular moving object modelling methods, aims to separate the temporally varying (i. [2]種の占有率と相対存在量は時間的に変化しています。 [1] 最も一般的な移動物体モデリング方法の一つとして、堅牢な主成分分析（RPCA）は、時間的に変化することを目的としています（i。 [2]
Observe Temporally Varying 時間変化を観察する
Since we observe temporally varying phase differences between seismograms recorded directly at the base of the individual wind turbines (WTs), source-signal phase information is included in the modeling approach. [1] Since we observe temporally varying phase differences between seismograms recorded directly at the base of the individual wind turbines (WTs), source signal phase information is included in the modeling approach. [2]個々の風力タービン（WTS）のベースに直接記録された地震計の間に一時的に変化する位相差が観察されるため、ソースシグナル相情報がモデリングアプローチに含まれています。 [1] 個々の風力タービン（WTS）のベースに直接記録された地震計の間に一時的に変化する位相差が観察されるため、ソース信号位相情報がモデリングアプローチに含まれています。 [2]
Display Temporally Varying 時間的に変化する表示
Palynologists regularly produce so-called pollen diagrams, left-justified spindle graphs, that display temporally varying frequencies of pollen of each of several different plant species. [1] He influenced archaeologists Leslie Spier and Manual Gamio who used line graphs to display temporally varying frequencies of artifacts. [2]花粉科医は、いくつかの異なる植物種の花粉の一時的に変化する周波数を示す、いわゆる花粉図、左正当化されたスピンドルグラフを定期的に生成します。 [1] 彼は考古学者のレスリー・スパイアーとマニュアル・ガミオに影響を与えました。マニュアル・ガミオは、折れ線グラフを使用して、一時的にさまざまなアーティファクトの周波数を表示しました。 [2]
temporally varying environment 時間的に変化する環境
Numerous mobile systems face the challenge of simultaneously exploring and exploiting a stochastic, spatiotemporally varying environment. [1] To evaluate the fitness benefits of multiple‐batch spawning (within a single breeding period), the mechanistic model separately simulated multiple‐batch and single‐batch spawning populations under temporally varying environments. [2] Seasonal migration versus residence is one key trait that directly shapes spatio-seasonal population dynamics in spatially and temporally varying environments, but temporal dynamics of sex-specific selection have not been fully quantified. [3] Furthermore, this device is able to be used for investigating cellular respond on single cell resolution to temporally varying environments by modulating the stimulation signal in terms of concentration, pattern, and duration of exposure. [4] On the contrary, the metacommunity dynamics in temporally varying environments reveal that predator dispersal causes a local extinction through tracking unstable states and also a delayed shift between dynamical states. [5] Our results thus suggest that the variability patterns and levels for beneficial sweeps are mildly affected by temporally varying environment but changing environment is likely to strongly impact those due to recessive deleterious sweeps. [6] Ultimately, this represents a rich topic for the study of real-time optimal control strategies that must function robustly in a spatiotemporally varying environment. [7] To overcome this, we use an analytical model to assess whether selection acting on fecundity versus viability affects the evolution of parental effects in a viscous population experiencing a spatiotemporally varying environment. [8] Despite this transience, spatial sorting is likely a general mechanism behind the evolution of nonzero dispersal rates in spatiotemporally varying environments. [9] Natural populations are often exposed to temporally varying environments. [10] Risk-spreading through spontaneous phenotypic variations is a known concept in ecology, which is used to explain how species may survive when faced with the evolutionary risks associated with temporally varying environments. [11]多数のモバイルシステムは、確率的で時空間的に変化する環境を同時に探検しそして利用することの課題に直面しています。 [1] 複数バッチの産卵のフィットネス利点（単一の繁殖期間内）を評価するために、機械的モデルは、一時的に変化する環境の下で多重バッチおよび単一バッチの産卵集を個別にシミュレートしました。 [2] 季節の移動と居住地は、空間的および時間的に変化する環境で空間季節の集団動態を直接形作る重要な特性の1つですが、性別特異的選択の時間的ダイナミクスは完全に定量化されていません。 [3] nan [4] nan [5] nan [6] nan [7] nan [8] nan [9] nan [10] nan [11]
temporally varying coefficient 時間変動係数
Three mainstream regressions and an emerging local spatiotemporal regression named the Bayesian spatiotemporally varying coefficients (Bayesian STVC) model were constructed to investigate the global-scale stationary and local-scale spatiotemporal nonstationary relationships between city-level tourism and various vital drivers. [1] In this article, we develop a novel spatiotemporally varying coefficient (STVC) model to understand non-stationary relationships between crop yields and meteorological variables. [2] METHODS We propose an innovative method, named spatiotemporally varying coefficients (STVC) model, under the Bayesian hierarchical modeling framework, for exploring both spatial and temporal nonstationary effects in climate covariates, after controlling for socioeconomic effects. [3]ベイジアン時空間的に変化した3つの主流の回帰および新たな局所時空間回帰（ベイジアンSTVC）モデルは、市内観光とさまざまなバイタルドライバーとの間の地球規模の静止状態および地域規模の時空間的な非定常関係を調査するために構築されました。 [1] この記事では、作物収量と気象変数の間の非定常関係を理解するための新規な時空間的に変化する係数（STVC）モデルを開発します。 [2] nan [3]
temporally varying parameter 一時的に変化するパラメータ
To address this problem we use the CSIRO Climate re-Analysis and Forecast Ensemble (CAFE) system to estimate both the climate state (atmosphere, ocean, sea-ice) and also spatio-temporally varying parameter maps of the ocean surface albedo and shortwave radiation e-folding length scale in a coupled climate GCM of CMIP resolution and complexity. [1] In real oceanic environments, the two spatial-temporally varying parameters are estimated from sea clutter data with outliers. [2] , seasonal maximum precipitation, at each station in each year is modeled using a generalized extreme value (GEV) distribution with temporally varying parameters, which are decomposed as linear functions of covariates. [3]この問題に対処するために、CSIRO気候の再分析と予測アンサンブル（CAFE）システムを使用して、気候状態（大気、海、海アイス）と海洋表面のアルベド放射線の空間的に変化するパラメーターマップの両方を推定します。 [1] 実際の海洋環境では、2つの空間的に変化するパラメーターが、外れ値を持つ海の乱雑なデータから推定されます。 [2] nan [3]
temporally varying noise 時間変動ノイズ
We relate the temporally varying noise spectral density to a time-resolved ocean-wave model, WAVEWATCH III. [1] However, DAS cardiac PA images are prone to artifacts such as diffuse quasi-static clutter with temporally varying noise-reducing myocardial signal specificity. [2] However, nonadaptive DAS reconstructed cardiac PA images exhibit temporally varying noise which causes reduced myocardial PA signal specificity, making image interpretation difficult. [3]一時的に変化するノイズスペクトル密度を、時間分解した海波モデル、WaveWatch IIIに関連付けます。 [1] しかしながら、DAS心臓PA画像は、時間的に変化する騒音低減心筋信号特異性を有する拡散準静的クラッタのようなアーチファクトを起こしやすい。 [2] しかしながら、非印象的なDAS再構成された心臓PA画像は時間的に変化するノイズを示し、それは心筋PA信号特異性を低減させ、画像解釈を困難にする。 [3]
temporally varying flow 時間的に変化する流れ
The depth-averaged porosity distribution of the porous media is determined using a novel optical method, whose results are used to investigate solute transport in two spatiotemporally varying flow fields, (1) a push–pull pumping sequence and (2) a sequence to induce stretching and folding of the solute plume. [1] This paper presents a technique for maximizing the power production of a tethered marine energy-harvesting kite performing cross-current figure-eight flight in a 3D spatiotemporally varying flow environment. [2] To understand how QS genetic architectures in cells promote appropriate population-level phenotypes throughout the bacterial life cycle requires knowledge of how these architectures determine the QS response in realistic spatiotemporally varying flow conditions. [3]多孔質媒体の深さ平均の多孔