Predicting household appliance energy consumption (Wh) from environmental, temporal and energy sensor readings sampled at 10-minute intervals, using classical baselines and deep recurrent models (LSTM ...
The DREAM complex has emerged as a central repressor of DNA repair, raising questions as to whether such repression exerts long-term effects on human health. Here we establish that DREAM-associated ...
Large Language Models (LLMs) have emerged as powerful tools for interpreting multimodal data (e.g., images, audio, text), often surpassing specialized models. In medicine, they hold particular promise ...
This important work employed a recent functional muscle network analysis to evaluate rehabilitation outcomes in post-stroke patients. The research direction is relevant and supported by solid evidence ...
Explore the capabilities of Python in constructing multivariate models using Raman spectra in our newest tutorial! https://lnkd.in/e4vNViyD š Learn how to import and analyze data, create PLS models ...
Deep Dive into Telco Customer Churn Analysis Using Python & Data Science Techniques **githublink= https://lnkd.in/gEYXNFiY Iām excited to share my recent project on customer churn prediction in the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results