PREDICTABILITY

作品数：271被引量：743H指数：16
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相关机构：中南大学中国科学院大学成都中医药大学中国气象局更多>>
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Forecasting landslide deformation by integrating domain knowledge into interpretable deep learning considering spatiotemporal correlations
《Journal of Rock Mechanics and Geotechnical Engineering》2025年第2期960-982,共23页Zhengjing Ma Gang Mei 
supported by the Postdoctoral Fellowship Program of CPSF(Grant No.GZB20230685);the National Science Foundation of China(Grant No.42277161).
Forecasting landslide deformation is challenging due to influence of various internal and external factors on the occurrence of systemic and localized heterogeneities.Despite the potential to improve landslide predict...
关键词：GEOHAZARDS Landslide deformation forecasting Landslide predictability Knowledge infused deep learning interpretable machine learning Attention mechanism Transformer 
CPT:A Configurable Predictability Testbed for DNN Inference in AVs
《Tsinghua Science and Technology》2025年第1期87-99,共13页Liangkai Liu Yanzhi Wang Weisong Shi 
Predictability is an essential challenge for autonomous vehicles(AVs)’safety.Deep neural networks have been widely deployed in the AV’s perception pipeline.However,it is still an open question on how to guarantee th...
关键词：PREDICTABILITY deep neural network autonomous driving 
Predictability Study of Weather and Climate Events Related to Artificial Intelligence Models
《Advances in Atmospheric Sciences》2025年第1期1-8,共8页Mu MU Bo QIN Guokun DAI 
in part supported by the National Natural Science Foundation of China(Grant Nos.42288101,42405147 and 42475054);in part by the China National Postdoctoral Program for Innovative Talents(Grant No.BX20230071)。
Conducting predictability studies is essential for tracing the source of forecast errors,which not only leads to the improvement of observation and forecasting systems,but also enhances the understanding of weather an...
关键词：PREDICTABILITY artificial intelligence models simulation and forecasting nonlinear optimization cognition–observation–model paradigm 
Pattern and determinants of tail-risk transmission between cryptocurrency markets:new evidence from recent crisis episodes
《Financial Innovation》2024年第1期2227-2260,共34页Aktham Maghyereh Salem Adel Ziadat 
The main objective of this study is to investigate tail risk connectedness among six major cryptocurrency markets and determine the extent to which investor sentiment,economic conditions,and economic uncertainty can p...
关键词：Tail-risk connectedness Cryptocurrency CAVIAR TVP-VAR PREDICTABILITY 
Exploring the coherency and predictability between the stocks of artificial intelligence and energy corporations
《Financial Innovation》2024年第1期391-421,共31页Christian Urom Gideon Ndubuisi Hela Mzoughi Khaled Guesmi 
This paper employs wavelet coherence,Cross-Quantilogram(CQ),and Time-Varying Parameter Vector-Autoregression(TVP-VAR)estimation strategies to investigate the dependence structure and connectedness between investments ...
关键词：Artificial intelligence Energy-firms Quantile-dependence SPILLOVER 
Investigating the occurrence and predictability of pitch angle scattering events at ADITYA-Upgrade tokamak with the electron cyclotron emission radiometer
《Plasma Science and Technology》2024年第11期45-57,共13页Varsha SIJU Santosh P.PANDYA S.K.PATHAK Ansh PATEL Umesh NAGORA Shishir PUROHIT Sameer JHA M.K.GUPTA K.TAHILIANI R.KUMAR R.L.TANNA J.GHOSH 
This paper describes the experimental analysis and preliminary investigation of the predictability of pitch angle scattering(PAS) events through the electron cyclotron emission(ECE)radiometer signals at the ADITYA-Upg...
关键词：pitch angle scattering anomalous Doppler resonance electron cyclotron emission radiometer diagnostic runaway electrons wave-particle interaction 
Verification of Seasonal Prediction by the Upgraded China Multi-Model Ensemble Prediction System (CMMEv2.0)被引量：1
《Journal of Meteorological Research》2024年第5期880-900,共21页Jie WU Hong-Li REN Jianghua WAN Jingpeng LIU Jinqing ZUO Changzheng LIU Ying LIU Yu NIE Chongbo ZHAO Li GUO Bo LU Lijuan CHEN Qing BAO Jingzhi SU Lin WANG Jing-Jia LUO Xiaolong JIA Qingchen CHAO 
Supported by the National Natural Science Foundation of China (U2242206 and 42175052);National Key Research and Development Program of China (2021YFA071800 and 2023YFC3007700);Innovative Development Special Project of China Meteorological Administration (CXFZ2023J002 and CXFZ2023J050);China Meteorological Administration (CMA) Joint Research Project for Meteorological Capacity Improvement (23NLTSZ003);Special Operating Expenses of Scientific Research Institutions for “Key Technology Development of Numerical Forecasting” of Chinese Academy of Meteorological Sciences;CMA Youth Innovation Team(CMA2024QN06)。
Based on a combination of six Chinese climate models and three international operational models,the China multimodel ensemble(CMME)prediction system has been upgraded into its version 2(CMMEv2.0)at the National Climat...
关键词：China multi-model ensemble(CMME)prediction system predictability source El Niño-Southern Oscillation(ENSO) real-time forecast VERIFICATION 
Application of the Conditional Nonlinear Local Lyapunov Exponent to Second-Kind Predictability
《Advances in Atmospheric Sciences》2024年第9期1769-1786,共18页Ming ZHANG Ruiqiang DING Quanjia ZHONG Jianping LI Deyu LU 
supported by the National Natural Science Foundation of China(Grant Nos.42225501 and 42105059);the National Key Scientific and Tech-nological Infrastructure project“Earth System Numerical Simula-tion Facility”(EarthLab).
In order to quantify the influence of external forcings on the predictability limit using observational data,the author introduced an algorithm of the conditional nonlinear local Lyapunov exponent(CNLLE)method.The eff...
关键词：conditional nonlinear local Lyapunov exponent second-kind predictability coupled Lorenz model ENSO 
The Predictability Limit of Oceanic Mesoscale Eddy Tracks in the South China Sea
《Advances in Atmospheric Sciences》2024年第9期1661-1679,共19页Hailong LIU Pingxiang CHU Yao MENG Mengrong DING Pengfei LIN Ruiqiang DING Pengfei WANG Weipeng ZHENG 
supported by the National Key R&D Program for Developing Basic Sciences(2022YFC3104802).
Employing the nonlinear local Lyapunov exponent (NLLE) technique, this study assesses the quantitative predictability limit of oceanic mesoscale eddy (OME) tracks utilizing three eddy datasets for both annual and seas...
关键词：PREDICTABILITY mesoscale eddy nonlinear local Lyapunov exponent South China Sea seasonal variability 
The Forecast Skills and Predictability Sources of Marine Heatwaves in the NUIST-CFS1.0 Hindcasts
《Advances in Atmospheric Sciences》2024年第8期1589-1600,共12页Jing MA Haiming XU Changming DONG Jing-Jia LUO 
jointly supported by the National Natural Science Foundation of China (Grant Nos.42192562 and 42030605)。
Using monthly observations and ensemble hindcasts of the Nanjing University of Information Science and Technology Climate Forecast System(NUIST-CFS1.0) for the period 1983–2020, this study investigates the forecast s...
关键词：marine heatwaves NUIST-CFS1.0 hindcasts forecast skill predictability source ENSO 
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