The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

Abstract: This paper proposes a time prediction model based on Kalman filtering and LSTM, namely the Kalman LSTM model, which is used to predict time series data with long-term and short-term ...

With the widespread application of lithium-ion batteries in electric vehicles and energy storage systems, health monitoring and remaining useful life prediction have become critical components of ...

Landslides are one of the most prevalent natural geological disasters, causing significant economic losses, damaging public environments, and posing severe threats to human lives. Landslide ...

View post: Walmart Has a 'Powerful' $110 Cordless Handheld Vacuum That Is 'Perfect' for Cleaning Cars on Sale for Only $20 At the front of the car, the front fascia and headlight assembly have been ...

Tesla sales are in free-fall and the automaker doesn’t have any genuinely new product on the horizon ready to save the day. Instead, as Elon Musk himself hinted, Tesla is stripping features from the ...

Visual reasoning tasks challenge artificial intelligence models to interpret and process visual information using both perception and logical reasoning. These tasks span a wide range of applications, ...

Python has been the language of data science since before machine learning was trendy, and now you can use it for building AI agents, too. Get the scoop on the new Google Agent Development Kit and ...

Abstract: To address the phase ambiguity problem arising from baseline extension in phase interferometer for improving direction-finding accuracy, this paper proposes a CNN-SE-LSTM model-based phase ...

A recent study published in the Water Resources Research journal discussed using a new deep learning framework — known as Long Short-Term Memory Station Approximated Models, or LSTM-SAM — to predict ...