A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
Abstract: Spectral clustering is an important clustering method widely used for pattern recognition and image segmentation. Classical spectral clustering algorithms consist of two separate stages: 1) ...
Abstract: Spectral clustering, as an algorithm based on graph theory and spectral theory, has shown excellent performance in classification tasks of hyperspectral images in recent years. Although ...
Utilizing SERS for protein detection offers high sensitivity and label-free analysis, advancing proteomics and biomarker ...
Please click here to download the data processing software. The users of XMe code should state "The data is analyzed by XMe open-source code(github.com/Pilab-XMU/XMe ...
Innovative technology brand TECNO officially announced its groundbreaking multi-skin tone color card at MWC Barcelona 2024.
BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
This repository explores music genre clustering with Variational Autoencoders. The work combines English music from the GTZAN dataset with Bangla tracks, then learns compact latent representations ...
A walrus optimization algorithm (WOA) for cluster head selection to optimize energy-efficiency in UWSNs-based IoT Ramasubbareddy Somula Aditya Sai Srinivas T Swathi Sambangi A. Sanjeeva Reddy Gaddam ...
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