As antibiotic-resistant bacteria and genes continue to emerge, the identification of effective
alternatives to traditional antibiotics has become a pressing issue. Antimicrobial peptides …

Heart sound classification plays a vital role in the early detection of cardiovascular disorders,
especially for small primary health care clinics. Despite that much progress has been made …

Accurate flight delay prediction is fundamental to establish the more efficient airline
business. Recent studies have been focused on applying machine learning methods to …

Fuzzy rough theory can describe real-world situations in a mathematically effective and
interpretable way, while evolutionary neural networks can be utilized to solve complex …

We investigate anomaly detection in an unsupervised framework and introduce long short-
term memory (LSTM) neural network-based algorithms. In particular, given variable length …

In view of the increasing development of decentralized power systems and electric vehicles,
this paper seeks to improve the energy management performance of multiple microgrid …

Surface water temperature (SWT) is a key indicator to characterize the ecological health of a
reservoir. Many newly built large-deep reservoirs, however, lack enough SWT observation …

In a microgrid, renewable energy sources (RES) exhibit stochastic behavior, which affects
the microgrid continuous operation. Normally, energy storage systems (ESSs) are installed …

Accurate load forecasting guarantees the stable and economic operation of power systems.
With the increasing integration of distributed generations and electrical vehicles, the …

Long short-term memory (LSTM), especially vanilla LSTM (VLSTM), has been widely used in
air quality prediction field. However, VLSTM has many more parameters, thereby making …