نتایج جستجو برای: carma
تعداد نتایج: 335 فیلتر نتایج به سال:
سابقه و هدف: مدلسازی بارش-رواناب یک فرآیند ضروری و پیچیده میباشد که در بهرهبرداری مناسب از مخازن و مدیریت و برنامه ریزی صحیح منابع آب نقش عمدهای دارد. مدلسازی این فرآیند با استفاده از روشهای مختلفی امکانپذیر است. ازنظر تئوری، در مدلسازی یک سیستم میبایست روابط صریح بین متغیرهای ورودی و خروجی معلوم باشند. در حالیکه به علت معلوم نبودن روابط صریح بین متغیرها و عدم قطعیتهای ذاتی آنها، استخ...
This note provides a simple sufficient condition ensuring that solutions of stochastic delay differential equations (SDDEs) driven by subordinators are nonnegative. While, to the best our knowledge, no nonnegativity conditions available in context SDDEs, we compare result literature within subclass invertible continuous-time ARMA (CARMA) processes. In particular, analyze why cannot be necessary...
within the context of climate change, water scarcity is the major constraint to the viability of many crops. thus, it is necessary to develop strategies for sustainable water management, and introduce alternative crops to sustain the viability of agro-ecosystems. the main objective of this work was to assess the performance of hemp (cannabis sativa l.) subjected to different plant densities and...
A sectional aerosol model (CARMA) has been developed and coupled with the Community Earth System Model (CESM1). Aerosol microphysics, radiative properties, and interactions with clouds are simulated in the size-resolving model. The model described here uses 20 particle size bins for each aerosol component including freshly nucleated sulfate particles, as well as mixed particles containing sulfa...
We introduce and analyze CARMA-MC (for Collision Avoidance and Resolution Multiple Access MultiChannel), a new stable channel access protocol for multihop wireless networks with multiple channels. CARMA-MC relies on the assignment of a unique channel and a unique identifier to each node to support correct deterministic collision resolution in the presence of hidden terminals. CARMA-MC dynamical...
ABSTRACT Machine learning is a promising tool to reconstruct time-series phenomena, such as variability of active galactic nuclei (AGNs), from sparsely sampled data. Here, we use three Continuous Autoregressive Moving Average (CARMA) representations AGN – the Damped Random Walk (DRW) and (over/under)Damped Harmonic Oscillator simulate 10-yr light curves they would appear in upcoming Vera Rubin ...
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