Results 81 to 90 of about 65,665 (164)

Probabilistic prediction of segmental body composition in Iranian children and adolescents. [PDF]

BMC Pediatr, 2022
Rahmani M, Ardalan A, Ghaderi-Zefrehei M, Jeddi M, Heydari ST, Dabbaghmanesh MH.   +5 more
europepmc   +1 more source

An Explainable Bayesian TimesNet for Probabilistic Groundwater Level Prediction

Water Resources Research
Reliable groundwater level (GWL) prediction is essential for sustainable water resources management. Despite recent advances in machine learning (ML) methods for GWL prediction, further improvements may be made in uncertainty quantification and model ...
Zechen Peng, Shaoxing Mo, Alexander Y. Sun, Jichun Wu, Xiankui Zeng, Miao Lu, Xiaoqing Shi   +6 more
doaj   +1 more source

Retracted: Probabilistic Prediction of Nonadherence to Psychiatric Disorder Medication from Mental Health Forum Data: Developing and Validating Bayesian Machine Learning Classifiers. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source

An interpretable probabilistic prediction algorithm for shield movement performance

Frontiers in Earth Science
Total thrust and torque are two key indicators of shield movement performance. Most existing data-driven machine learning studies focus on developing more accurate models for predicting total thrust and torque but overlook the interpretability of the ...
Yapeng Zhang, Yapeng Zhang, Long Liu, Long Liu, Jian Wu, Jian Wu, Shaoxiang Zeng, Shaoxiang Zeng, Jianquan Hu, Yuanqin Tao, Yuanqin Tao, Yong Huang, Yong Huang, Xuetao Zhou, Xuetao Zhou, Xu Liang   +15 more
doaj   +1 more source

Probabilistic prediction of increased intracranial pressure in patients with severe traumatic brain injury. [PDF]

Sci Rep, 2022
Wijayatunga P, Koskinen LD, Sundström N.   +2 more
europepmc   +1 more source

Uncertainty estimation of machine learning spatial precipitation predictions from satellite data

Machine Learning: Science and Technology
Merging satellite and gauge data with machine learning produces high-resolution precipitation datasets, but uncertainty estimates are often missing. We addressed the gap of how to optimally provide such estimates by benchmarking six algorithms, mostly ...
Georgia Papacharalampous, Hristos Tyralis, Nikolaos Doulamis, Anastasios Doulamis   +3 more
doaj   +1 more source

Hybrid Deep Learning‐Based Networks for Deterministic and Probabilistic Wind Nowcasting Within a Wake Vortex Warning System for Vertiport Operations

Meteorological Applications
Accurate wind prediction is essential for forecasting the transport and decay of wake vortices that might cause an adverse impact to light aircraft operations.
Sooseok Lee, Frank Holzäpfel, Anton Stephan, Dieter Moormann   +3 more
doaj   +1 more source

Conformal Prediction under Probabilistic Input [PDF]

, 2014
In this paper we discuss a possible approach to confident prediction from data containing missing values presented in a probabilistic form. To achieve this we revise and generalize the notion of credibility known in the theory of conformal prediction.
openaire   +1 more source

Probabilistic Forecast of Tropical Cyclone Precipitation Based on Diffusion Model

Remote Sensing
Predicting tropical cyclone (TC) precipitation is an important step in disaster prevention and mitigation. However, in the probability prediction of TC precipitation, traditional deep learning models are highly sensitive to initial conditions and can ...
Pengfei Du, Jing-Jia Luo, Xianxuan Lin, Fan Meng   +3 more
doaj   +1 more source

Ensemble Wind Power Prediction Interval with Optimal Reserve Requirement

Journal of Modern Power Systems and Clean Energy
Wind power prediction interval (WPPI) models in the literature have predominantly been developed for and tested on specific case studies. However, wind behavior and characteristics can vary significantly across regions.
Hamid Rezaie, Cheuk Hei Chung, Nima Safari   +2 more
doaj   +1 more source