AI models can process thousands of factors simultaneously, including demand signals across multiple items, macroeconomic ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
1 Department of Physiology, School of Basic Medicine, Kunming Medical University, Kunming, Yunnan, China 2 School of Public Health, Kunming Medical University, Kunming, Yunnan, China Objective: The ...
This study presents a time-series forecasting framework that integrates queuing-based operation indicators to improve vessel turnaround time prediction accuracy by up to 28%. Rather than directly ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Abstract: This paper proposes a novel hybrid framework that combines Long Short-Term Memory (LSTM) networks and Support Vector Machines (SVM) to improve time-series forecasting and classification ...
In this tutorial, we build an advanced agentic AI system that autonomously handles time series forecasting using the Darts library combined with a lightweight HuggingFace model for reasoning. We ...
Reactions to Kimmel's suspension, Trump publicly rebukes Putin, and more Length: Long Speed: 1.0x Every three months, participants in the Metaculus forecasting cup try to predict the future for a ...
1 Faculty of Electrical Technology and Engineering, Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia. 2 Faculty of Electrical & Electronics Engineering Technology, Universiti Malaysia ...
Temperature impacts every part of the world. Meteorological analysis and weather forecasting play a crucial role in sustainable development by helping reduce the damage caused by extreme weather ...
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