Signal modeling is an important technique in many engineering applications. This paper is
concerned about signal modeling problem for the sine multi-frequency signals or periodic …

Crop yield forecasting is of great importance to crop market planning, crop insurance,
harvest management, and optimal nutrient management. Commonly used approaches for …

Electroencephalogram (EEG) signals, generated during the neuron firing, are an effective
way of predicting such seizure and it is used widely in recent days for classifying and …

Supervised machine learning techniques, such as classification models, have been widely
applied to online process anomaly detection in advanced manufacturing. However, since …

This paper is concerned with the distributed formation control problem of multi-quadrotor
unmanned aerial vehicle (UAV) in the framework of event triggering. First, for the position …

In this paper, probabilistic design and placement of hybrid wind–photovoltaic​ system
based on battery storage (PV/WT/Batt) in distribution networks with the aim of minimizing …

This article considers the problem of asynchronous fault detection filter (FDF) design for
Takagi–Sugeno (T–S) fuzzy singular systems via dynamic event-triggered scheme. A mode …

This paper develops a new robust adaptive formation control methodology for networked
multi-UAV systems to solve the cooperative payload transportation problem. This …

Multi-agent deep reinforcement learning (MDRL) has been widely applied in multi-
intersection traffic signal control. The MDRL algorithms produce the decentralized …

In this paper, we focus on the unsupervised domain adaptation problem where an
approximate inference model is to be learned from a labeled data domain and expected to …