Johns Hopkins applied mathematicians and astronomers have developed a new method to render images from ground-based ...
Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge ...
In oncology and cardiology, AI’s strength lies in deep learning techniques applied to imaging and genomic data. Convolutional ...
One of the most exciting developments is how AI is lowering barriers for retail participation in algorithmic trading. Tools ...
We exist in an era of gigantic expectations. Our cities are growing, our grids are old, our climate is shifting, and our ...
In the era of the digital economy, computing power is the core productivity, and the data centers and communication rooms that produce this computing power are becoming the forefront of technological ...
ABSTRACT: Accurate forecasting of the system marginal price (SMP) is crucial to improve demand-side management and optimize power generation scheduling. However, predicting the SMP is challenging due ...
Aiming to address the complexity and uncertainty of unmanned aerial vehicle (UAV) aerial confrontation, a twin delayed deep deterministic policy gradient (TD3)–long short-term memory (LSTM) ...
Abstract: This research proposes an explanatory deep learning-based music generation approach, where the output of a deep learning model is validated through a set of predefined musical rules, with a ...
Background Diagnosing the presence of metastasis of pancreatic cancer is pivotal for patient management and treatment, with contrast-enhanced CT scans (CECT) as the cornerstone of diagnostic ...
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