Abstract: For any linear and time-invariant system, its output is the linear convolution between the variable input sequence and the constant system impulse response. When the input is long and the ...

Abstract: Fast Fourier Transformation (FFT) has been widely recognized as an effective method for reducing the computational density of convolutional neural networks (CNNs). However, existing ...

The incredibly vast sums of cash that Bay Area executives are now willing to throw into artificial intelligence tech have created an eyebrow-raising trend: the “circular” mega-deal. The deals are so ...

We’re watching a new trend in semiconductor stocks concerning circular deals. Here’s why we think investors should be keeping an eye on it, though they shouldn’t be particularly worried at this point.

UNEP is pleased to contribute to this important session on SDG 8, focusing on target 8.4 which calls for global resource efficiency in consumption and production and decoupling economic growth from ...

Forbes contributors publish independent expert analyses and insights. Providing tools and resources to start, grow and manage your business. If you have been asking yourself this new kind of question ...

Depression is a common mental health issue, and early detection is crucial for timely intervention. This study proposes an end-to-end EEG-based depression recognition model, AMCCBDep, which combines ...

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State Key Laboratory of Power System Operation and Control, Department of Electrical Engineering, Tsinghua University, Beijing 100084, People’s Republic of China ...

Convolution is a remarkable property of the Fourier transform, often cited in the literature as the “faltung theorem”. Convolution is a remarkable property of the Fourier transform, often cited in the ...