Zobrazeno 1 - 10
of 2 174
pro vyhledávání: '"Ye, Qiang"'
Full-duplex (FD) technique can remarkably boost the network capacity in the millimeter wave (mmWave) bands by enabling simultaneous transmission and reception. However, due to directional transmission and large bandwidth, the throughput and fairness
Externí odkaz:
http://arxiv.org/abs/2305.18834
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract In order to improve the accuracy of transformer fault diagnosis and improve the influence of unbalanced samples on the low accuracy of model identification caused by insufficient model training, this paper proposes a transformer fault diagno
Externí odkaz:
https://doaj.org/article/38e66cb0728945558fa595dc4ef06e25
In recent years, Generative Adversarial Networks (GANs) have produced significantly improved results in speech enhancement (SE) tasks. They are difficult to train, however. In this work, we introduce several improvements to the GAN training schemes,
Externí odkaz:
http://arxiv.org/abs/2210.14474
Methods such as Layer Normalization (LN) and Batch Normalization (BN) have proven to be effective in improving the training of Recurrent Neural Networks (RNNs). However, existing methods normalize using only the instantaneous information at one parti
Externí odkaz:
http://arxiv.org/abs/2209.14439
Publikováno v:
Acta Dermato-Venereologica, Vol 104 (2024)
Abstract is missing (Short communication)
Externí odkaz:
https://doaj.org/article/45352b10db6947cdbae22bfe52e0347d
This paper applies an idea of adaptive momentum for the nonlinear conjugate gradient to accelerate optimization problems in sparse recovery. Specifically, we consider two types of minimization problems: a (single) differentiable function and the sum
Externí odkaz:
http://arxiv.org/abs/2208.12183
In recent years, using orthogonal matrices has been shown to be a promising approach in improving Recurrent Neural Networks (RNNs) with training, stability, and convergence, particularly, to control gradients. While Gated Recurrent Unit (GRU) and Lon
Externí odkaz:
http://arxiv.org/abs/2208.06496
Nonlinear monotone transformations are used extensively in normalizing flows to construct invertible triangular mappings from simple distributions to complex ones. In existing literature, monotonicity is usually enforced by restricting function class
Externí odkaz:
http://arxiv.org/abs/2206.02102
Publikováno v:
Journal of Medical Biochemistry, Vol 43, Iss 3, Pp 387-396 (2024)
Background: The purpose of this study was to investigate the potential of plasma cfDNA methylation patterns in reflecting tumour methylation changes, focusing on three candidate sites, cg02469161, cg11528914, and cg20131654. These sites were selected
Externí odkaz:
https://doaj.org/article/fbbf7e110e664158b7068fba8751fa6c