The analysis of univariate or multivariate time series provides crucial information to describe,
understand, and predict climatic variability. The discovery and implementation of a number …

Climate and weather constitute a typical example where high dimensional and complex
phenomena meet. The atmospheric system is the result of highly complex interactions …

Simultaneous harvest failures across major crop-producing regions are a threat to global
food security. Concurrent weather extremes driven by a strongly meandering jet stream …

Rising air temperatures are a leading risk to global crop production. Recent research has
emphasized the critical role of moisture availability in regulating crop responses to heat and …

有效地预测使用阶段的故障数据对于合理制定可靠性计划以及开展可靠性维护活动等具有重要
的指导意义. 从复杂系统的历史故障数据出发, 提出了一种基于长短期记忆(LSTM) …

Climate extremes, such as droughts or heat waves, can lead to harvest failures and threaten
the livelihoods of agricultural producers and the food security of communities worldwide …

Simultaneous Multithreading (SMT) architectures are attractive targets for side-channel
enabled attackers, with their inherently broader attack surface that exposes more per …

Climate, groundwater extraction, and surface water flows have complex nonlinear
relationships with groundwater level in agricultural regions. To better understand the relative …

Wind power forecasting has high application value in power systems. However, due to the
intermittence and fluctuation of wind power, it is difficult to predict wind power effectively …

The paradigm of deterministic chaos has influenced thinking in many fields of science.
Chaotic systems show rich and surprising mathematical structures. In the applied sciences …