Zobrazeno 1 - 10
of 1 398
pro vyhledávání: '"Fu Cai"'
Autor:
Fu Cai, Na Mi, Huiqing Ming, Yushu Zhang, Hui Zhang, Shujie Zhang, Xianli Zhao, Bingbing Zhang
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
IntroductionDry matter accumulation (DMA) and dry matter partitioning (DMP) are important physiological processes determining crop yield formation. Deep understanding of the DMA and DMP processes and their responses to drought are limited by difficul
Externí odkaz:
https://doaj.org/article/e98034e77a22494d8b84ffbd81cd2fde
Publikováno v:
Water, Vol 15, Iss 1, p 99 (2022)
To understand the drought response mechanisms of dry matter partitioning of maize, pot experiments under drought conditions were conducted during the vegetative and reproductive growth periods of maize. The aim was to calculate allometric relationshi
Externí odkaz:
https://doaj.org/article/b040b5c75eaf423b875a51ca0e35e39a
Publikováno v:
Atmosphere, Vol 13, Iss 8, p 1234 (2022)
Accurate feature identification of drought disaster events is required for proper risk management in agriculture. This study improved the crop water deficit index (CWDI) by including the daily meteorological, crop development stage, soil moisture con
Externí odkaz:
https://doaj.org/article/a399ba1c2c7242ba9dd2afbcc4d2657c
Multivariate Time Series (MTS) anomaly detection focuses on pinpointing samples that diverge from standard operational patterns, which is crucial for ensuring the safety and security of industrial applications. The primary challenge in this domain is
Externí odkaz:
http://arxiv.org/abs/2404.08224
Accurate detection and diagnosis of abnormal behaviors such as network attacks from multivariate time series (MTS) are crucial for ensuring the stable and effective operation of industrial cyber-physical systems (CPS). However, existing researches pa
Externí odkaz:
http://arxiv.org/abs/2403.02616
Autor:
Fu Cai, Yushu Zhang, Na Mi, Huiqing Ming, Shujie Zhang, Hui Zhang, Xianli Zhao, Bingbing Zhang
Publikováno v:
Atmosphere, Vol 13, Iss 5, p 677 (2022)
Observational data on dry matter accumulation (DMA) and dry matter partitioning (DMP) from the experiment of maize sown on four different dates in a normal year (2012) and three drought years (2014, 2015, 2018) were analyzed to assess the impact of d
Externí odkaz:
https://doaj.org/article/83f22af8dc67411c8ef80ffd0a1644de
Publikováno v:
Plant, Soil and Environment, Vol 64, Iss 6, Pp 260-267 (2018)
Determining the effects of progressive drought (PD) on dry matter production, partitioning, and grain yield of maize will help in designing a suitable strategy for water management. Though influences of drought on maize growth and development have be
Externí odkaz:
https://doaj.org/article/4289cecc383845ea9d170f8a1b44c057
Publikováno v:
Computers & Security, 2023, 103570
Deep generative models are promising in detecting novel cyber-physical attacks, mitigating the vulnerability of Cyber-physical systems (CPSs) without relying on labeled information. Nonetheless, these generative models face challenges in identifying
Externí odkaz:
http://arxiv.org/abs/2311.02378
Publikováno v:
Water, Vol 13, Iss 19, p 2612 (2021)
Northeast China (NEC) is a region sensitive to climate change. However, the adoption of long-season maize cultivars in NEC has caused a substantial yield increase under climate change conditions. It is important to determine whether such cultivar ado
Externí odkaz:
https://doaj.org/article/a4c2746ff3a7480fb31abbd64aaba490
Third-party libraries (TPLs) have become an essential component of software, accelerating development and reducing maintenance costs. However, breaking changes often occur during the upgrades of TPLs and prevent client programs from moving forward. S
Externí odkaz:
http://arxiv.org/abs/2309.02894