This paper integrates the ideas of improved multivariate time series sampling and deep learning prediction model structure optimization, and proposes an optimized deep learning model framework under ...
Abstract: In prediction tasks, the single dendritic neuron models (DNMs) have achieved good results ... is evaluated through several real-world multivariate financial time series prediction tasks.
Pre-trained foundation models are making time-series forecasting more accessible and available, unlocking its benefits for ...
This code is the official PyTorch implementation of our KDD'25 paper: DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting. If you find this project helpful, please don't forget to give ...
Under the hood, Time Travel is powered by an onboard small large model based on the company’s EXAONE series of algorithms. The latest iteration of the algorithm lineup, EXAONE 3.5, was open ...
Brightness has long been a strength of Samsung’s mini-LED TVs, but the 2025 QN90F series could take it a step further by achieving even higher peak brightness levels. Competing models from Sony ...
Hisense has been particularly quick to capitalize on this new demand for truly cinematic experiences at home with a whole series of LCD ... in a dark room from time to time, for a properly ...
Background and objective Gastric cancer (GC) remains a prevalent and preventable disease, yet accurate early diagnostic ...
The arrival of AI systems called large language models (LLMs), like OpenAI’s ChatGPT ... all of the words in the input at the same time. This allowed them to be trained in parallel, meaning ...
Los Angeles, which beat San Francisco, 27-24, in Week 3, will try to sweep the season series with the 49ers for the first time since 2018 ... SportsLine's proven computer model, as well as ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback