Results 31 to 40 of about 10,105,014 (311)
Long Term Motion Prediction Using Keyposes
Long term human motion prediction is essential in safety-critical applications such as human-robot interaction and autonomous driving. In this paper we show that to achieve long term forecasting, predicting human pose at every time instant is unnecessary.
Kiciroglu, Sena +3 more
openaire +3 more sources
Comparative Drug Response Profiling in Neuroblastoma Cell Lines and Patient‐Derived Tumor Organoids
ABSTRACT High‐risk neuroblastoma remains a leading cause of pediatric cancer mortality, and improved preclinical models are needed to guide therapeutic developments. We screened seven high‐risk neuroblastoma cell lines and three patient‐derived tumor organoids with 528 compounds alongside bone marrow controls, and compared them with external datasets ...
Krzysztof Wierbiłowicz +12 more
wiley +1 more source
Long-term prediction and evaluation indicators of each model.
Long-term prediction and evaluation indicators of each model.
Caiwang Tai (12506662) +6 more
core +1 more source
SWRVM: Sliding Window Recurrent Vision Mamba Model for Long-Term Spatial-Temporal Prediction
Spatial-temporal prediction, to predict future spatial data for a period with past data, is widely used in precipitation prediction, target motion prediction, and traffic flow forecasting.
Ge Peng, Yujing Zhong
doaj +1 more source
Long-Term Prediction of Network Security Situation Through the Use of the Transformer-Based Model
In recent years, the Internet has shown rapid development, and network security issue has gradually become the focus of research by scholars and enterprises.
Kun Yin +3 more
doaj +1 more source
Motion-compensating long-term memory prediction
Motion-compensating long-term memory prediction extends the spatial displacement utilized in block-based hybrid video coding by a variable time delay permitting the use of more frames than the previously decoded one for motion compensation. The long-term memory covers the decoded frames of some seconds at encoder and decoder.
Wiegand, Thomas +2 more
openaire +3 more sources
ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani +7 more
wiley +1 more source
Short‐term wind power prediction based on combined long short‐term memory
Wind power is an exceptionally clean source of energy; its rational utilization can fundamentally alleviate the energy, environment, and development problems, especially under the goals of ‘carbon peak’ and ‘carbon neutrality’. A combined short‐term wind
Yuyang Zhao +4 more
doaj +1 more source
Long-Term Traffic Prediction Using Deep Learning Long Short-Term Memory
Traffic conditions are a key factor in our society, contributing to quality of life and the economy, as well as access to professional, educational, and health resources. This emphasizes the need for a reliable road network to facilitate traffic fluidity
Ange-Lionel Toba +3 more
doaj +1 more source
Spatial-temporal transformer network for multi-year ENSO prediction
The El Niño-Southern Oscillation (ENSO) is a quasi-periodic climate type that occurs near the equatorial Pacific Ocean. Extreme periods of this climate type can cause terrible weather and climate anomalies on a global scale.
Dan Song +6 more
doaj +1 more source

