Abstract: The proliferation of 5G, Internet of Things, and cloud services has significantly increased the scale and complexity of network traffic, leading to growing cybersecurity challenges, ...
Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on creating an approximation of a dataset that has fewer columns. Imagine that you have a dataset that has many ...
In the last decade, auxiliary information has been widely used to address data sparsity. Due to the advantages of feature extraction and the no-label requirement, autoencoder-based methods addressing ...
Abstract: This paper proposes an autoencoder (AE)-based probabilistic shaping (PS) framework for coherent optical fiber systems that, for the first time, explicitly incorporates equalization-enhanced ...
Recent studies have demonstrated that high-quality annotated data is crucial for the performance of segmentation models. However, incomplete or corrupted mask annotations remain a common issue, ...
In order to use this package, please make sure that you have access to a GPU enabled runtime. This can be done easily with a conda environment, with the following ...
Huzhou Key Laboratory of Intelligent Sensing and Optimal Control for Industrial Systems, School of Engineering, Huzhou University, Huzhou 313000, PR China Zhejiang Key Laboratory of Industrial Solid ...
Insomnia disorder (ID) is neurobiologically heterogeneous and often eludes characterization by traditional group-level neuroimaging. Subtyping based on neuroimaging and clinical data offers a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results