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AI model ranks genetic variants from severe to mild disease mutations

EVE combines evolutionary insights with human population data to identify damaging genetic mutations, improving variant ...
Investopedia

Understanding Distribution Channels in Business: How They Function

Jason Fernando is a professional investor and writer who enjoys tackling and communicating complex business and financial problems. Natalya Yashina is a CPA, DASM with over 12 years of experience in ...
T&D

T&D World Insider

T&D World has teamed up with EndeavorB2B's MAPSearch to provide a downloadable map of all of the active AC transmission lines in the U.S. North America’s electric grid is undergoing rapid ...
IEEE

Autoencoder and Kernel Density Estimation-Based Anomaly Detection Method for Power Consumption among Distribution Network Customers

Detecting anomalies in power consumption among distribution network customers is a critical aspect of maintaining the efficiency and reliability of distribution networks. Current research in anomaly ...
IEEE

Time Series Anomaly Detection Based on Asymmetric Autoencoder and Gaussian Mixture Model

Abstract: Time series data are widely used in domains such as finance, industry, transportation, and healthcare. Anomaly detection in multivariate time series is a challenging unsupervised machine ...
GitHub

[CVPR2024 Highlight] LangSplat: 3D Language Gaussian Splatting

This repository contains the official authors implementation associated with the paper "LangSplat: 3D Language Gaussian Splatting" (CVPR 2024), which can be found here. We further provide the ...
GitHub

Pipeline for multi-omics lung cancer clustering

There was an error while loading. Please reload this page. This contains the full pipeline used for clustering of TCGA lung cancer samples. The workflow combines RNA ...