This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Researchers have used the jellyfish search algorithm to optimize solar PV distributed generation placement and sizing. They have tested the algorithm on an IEEE 33-bus system, with one, two, or three ...

Intelligent distribution network is an important link to realize smart grid, but generally speaking, the wiring of distribution network is more complex and the fault signal is difficult to extract. A ...

Wind power prediction is of great significance to the safe and stable operation of the power system. The key factor of wind power prediction is the selection of prediction model. This paper chooses ...

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds and ...

Neuromorphic computing, as a novel approach to processing information by mimicking biological neural networks, has gradually demonstrated significant ...

Many existing methods for exploring the link between neural activity ... recently introduced a new nonlinear dynamical modeling framework based on recurrent neural networks (RNNs) that addresses some ...

Forecasting electricity demand in buildings is now more accurate with Group Encoding (GE), a new method that uses only ...

The rapid rise in AI applications has placed increasingly heavy demands on our energy infrastructure. All the more reason to ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

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