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Transformer-based temporal models for probabilistic load and photovoltaic power forecasting in commercial microgrids. [PDF]
Sci RepDeepa P, Kathirvel C.
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Global-local feature fusion: a robust hybrid deep learning model for multiclass brain tumor classification with Grad-CAM++ interpretation. [PDF]
Front GenetPant K +4 more
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Computational approaches to deep learning-driven EEG analysis for neurological disease diagnosis: a systematic review. [PDF]
Front NeuroinformH F T, Jacob JE.
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Program transformation and proof transformation
2006Wilfred Sieg and Stanley S. Wainer. Program Transformation and Proof Transformation.
Wilfried Sieg, Stanley S. Wainer
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The transformations of transformations
Language & Communication, 2000Abstract Zellig S. Harris's original idea of transformations has been transformed (changed) several times in Chomsky's work. In this paper I shall explicate all these transformations (changes). I shall argue that, though their motivations are highly understandable, these transformations (changes) are not necessary for understanding the workings of ...
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Patient Education and Counseling, 2017
A patient with a serious illness continually refuses, postpones or avoids treatment until a conversation reveals essential contextual factors which change the physician's point of view. Once attended to, the patient also changes her attitude.
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A patient with a serious illness continually refuses, postpones or avoids treatment until a conversation reveals essential contextual factors which change the physician's point of view. Once attended to, the patient also changes her attitude.
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IEEE Spectrum, 2017
It would be hard to overstate the importance of transformers in our electrical networks. They’re literally everywhere: on poles and pads, in substations and on private property, on the ground and under it. There are probably dozens in your neighborhood alone. It’s hard to imagine a world without them. But my colleagues and I are doing just that.
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It would be hard to overstate the importance of transformers in our electrical networks. They’re literally everywhere: on poles and pads, in substations and on private property, on the ground and under it. There are probably dozens in your neighborhood alone. It’s hard to imagine a world without them. But my colleagues and I are doing just that.
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Direct transform to transform computation
IEEE Signal Processing Letters, 1999An efficient direct method for the computation of a length-N discrete cosine transform (DCT) given two adjacent length-(N/2) DCT coefficients, is presented. The computational complexity of the proposed method is lower than the traditional approach for lengths N>8. Savings of N memory locations and 2N data transfers are also achieved.
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On the Bargmann Transform and the Wigner Transform
Bulletin of the London Mathematical Society, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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