Zobrazeno 1 - 10
of 98 379
pro vyhledávání: '"prediction system"'
Autor:
Yoosoofsah, Akram
Predicting extubation failure in intensive care is challenging due to complex data and the severe consequences of inaccurate predictions. Machine learning shows promise in improving clinical decision-making but often fails to account for temporal pat
Externí odkaz:
http://arxiv.org/abs/2412.00105
Autor:
Chen, Xinyu1 (AUTHOR) cxy18116544991@outlook.com, Song, Minhong1 (AUTHOR) 3230101080@stu.cuit.edu.cn, Wang, Yaqi1 (AUTHOR), Wu, Tongwen2 (AUTHOR)
Publikováno v:
Remote Sensing. Nov2024, Vol. 16 Issue 21, p4118. 16p.
In response to the substantial energy consumption in buildings, the Japanese government initiated the BI-Tech (Behavioral Insights X Technology) project in 2019, aimed at promoting voluntary energy-saving behaviors through the utilization of AI and I
Externí odkaz:
http://arxiv.org/abs/2411.19536
Autor:
Saeizadeh, Ali, del Prever, Pietro Brach, Schonholtz, Douglas, Guida, Raffaele, Demirors, Emrecan, Jimenez, Jorge M., Johari, Pedram, Melodia, Tommaso
This demo presents SeizNet, an innovative system for predicting epileptic seizures benefiting from a multi-modal sensor network and utilizing Deep Learning (DL) techniques. Epilepsy affects approximately 65 million people worldwide, many of whom expe
Externí odkaz:
http://arxiv.org/abs/2411.05817
Ozone depletion events are recurring phenomena in both polar regions, characterized by significant interannual variability. In this study, the Environment and Climate Change Canada (ECCC) Global Deterministic Prediction System is used to investigate
Externí odkaz:
http://arxiv.org/abs/2410.11592
Autor:
Sun, Yuyang, Kosmas, Panagiotis
In this study, we present a non-invasive glucose prediction system that integrates Near-Infrared (NIR) spectroscopy and millimeter-wave (mm-wave) sensing. We employ a Mixed Linear Model (MixedLM) to analyze the association between mm-wave frequency S
Externí odkaz:
http://arxiv.org/abs/2409.07308
Large Language Models (LLMs) have shown versatility in various Natural Language Processing (NLP) tasks, including their potential as effective question-answering systems. However, to provide precise and relevant information in response to specific cu
Externí odkaz:
http://arxiv.org/abs/2409.03708
Accurate taxi-demand prediction is essential for optimizing taxi operations and enhancing urban transportation services. However, using customers' data in these systems raises significant privacy and security concerns. Traditional federated learning
Externí odkaz:
http://arxiv.org/abs/2408.04931
There is a hidden energy in tennis, which cannot be seen or touched. It is the force that controls the flow of the game and is present in all types of matches. This mysterious force is Momentum. This study introduces an evaluation model that synergiz
Externí odkaz:
http://arxiv.org/abs/2408.01544
Autor:
Du, Jinsong1,2 (AUTHOR), Yang, Sijia2 (AUTHOR), Zeng, Yijun2 (AUTHOR), Ye, Chunhong2 (AUTHOR), Chang, Xiao2 (AUTHOR) sky830808@126.com, Wu, Shan2,3 (AUTHOR) zjzyydxws@163.com
Publikováno v:
Scientific Reports. 9/28/2024, Vol. 14 Issue 1, p1-9. 9p.