MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...

I’m trying to use ZigZag to evaluate different mapping strategies for different types of convolution layers (e.g., standard convolution vs. depthwise convolution).

Researchers in China conceived a new PV forecasting approach that integrates causal convolution, recurrent structures, attention mechanisms, and the Kolmogorov–Arnold Network (KAN). Experimental ...

I'm currently studying the details of CVNN implementations, referencing literature such as the comprehensive survey "Complex-Valued Neural Networks: A Comprehensive Survey" by Lee et al. (2022). Based ...

ABSTRACT: As a highly efficient absorbing boundary condition, Perfectly Matched Layer (PML) has been widely used in Finite Difference Time Domain (FDTD) simulation of Ground Penetrating Radar (GPR) ...

Abstract: Melanoma is the most lethal skin cancer nowadays, but an early diagnosis can considerably boost the survival rate and cure rate. Convolutional neural network (CNN) can be implied on medical ...

1 School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China 2 College of Medical Imaging, Jiading District Central Hospital Affiliated Shanghai ...

Underwater image restoration confronts three major challenges: color distortion, contrast degradation, and detail blurring caused by light absorption and scattering. Current methods face difficulties ...

Normalization layers have become fundamental components of modern neural networks, significantly improving optimization by stabilizing gradient flow, reducing sensitivity to weight initialization, and ...

1 College of Information Engineering, Xinchuang Software Industry Base, Yancheng Teachers University, Yancheng, China. 2 Yancheng Agricultural College, Yancheng, China. Convolutional auto-encoders ...