Data is often referred to as the new oil of the digital economy, representing a highly valuable and untapped asset. To fully realize the potential of spatial data, various spatial data marketplace ...
Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...
The world of quantum computing is a noisy place, where error correction is needed to ensure quantum devices run correctly ...
As organizations increasingly rely on algorithms to rank candidates for jobs, university spots, and financial services, a new ...
A joint research team between the Center for Quantum Information and Quantum Biology (QIQB) at The University of Osaka and ...
Google's TurboQuant combines PolarQuant with Quantized Johnson-Lindenstrauss correction to shrink memory use, raising ...
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Abstract: This paper presents an improved Red-tailed Hawk (IRTH) algorithm for maximum power point tracking (MPPT) to overcome the multiple power peaks exhibited in the P-U curves of photovoltaic (PV) ...
Abstract: In this paper, a digital background error-correction technique for pipelined successive approximation analogue-to-digital converter (SAR ADC) based on Least Mean Square (LMS) algorithm is ...
True or false: there exists a differentiable function $f(x,y)$ whose tangent plane at $(1, 2)$ is $2x + z= 3$? The plane $x + 2y = 5$ is a vertical plane, but tangent ...
PyTorch reimplementation of the SAC algorithm first described in the paper: "Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor" from Haaranoja et al., ...
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