PREDICTABILITY

作品数:274被引量:743H指数:16
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相关领域:天文地球更多>>
相关作者:彭叠峰饶育蕾王建新张璟李俊更多>>
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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相关基金:国家自然科学基金国家重点基础研究发展计划中国博士后科学基金国家社会科学基金更多>>
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Spatial Random Effects Improve the Predictions of Multispecies Distribution in a Marine Fish Assemblage
《Journal of Ocean University of China》2025年第2期471-482,共12页XU Tianheng ZHANG Chongliang XU Binduo XUE Ying JI Yupeng REN Yiping 
supported by the National Key R&D Program of China(No.2022YFD2401301)。
Species distribution patterns is one of the important topics in ecology and biological conservation.Although species distribution models have been intensively used in the research,the effects of spatial associations a...
关键词:HMSC spatial autocorrelation JSDM sample size PREDICTABILITY 
Causes and predictability of the“explosive”intensification of Super Typhoon Yagi after entering the South China Sea in 2024
《Science China Earth Sciences》2025年第4期1298-1302,共5页Ruifen ZHAN Jie FENG 
supported by the National Natural Science Foundation of China Basic Science Center Project(Grant No.42288101);the Shanghai Science and Technology Committee Project(Grant No.23DZ1204703)。
1.Introduction The intensification of nearshore tropical cyclones(TCs),particularly the process of rapid intensification(RI),poses a severe threat to coastal populations due to its short warning time and devastating i...
关键词:nearshore tc physical mechanisms INTENSIFICATION rapid intensification ri poses tropical cyclones tcs particularly super typhoon rapid intensification PREDICTABILITY 
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 of varicocele repair success:preliminary results of a machine learning-based approach
《Asian Journal of Andrology》2025年第1期52-58,共7页Andrea Crafa Marco Russo Rossella Cannarella Murat Gül Michele Compagnone Laura M Mongioì Vittorio Cannarella Rosita A Condorelli Sandro La Vignera Aldo E Calogero 
Varicocele is a prevalent condition in the infertile male population.However,to date,which patients may benefit most from varicocele repair is still a matter of debate.The purpose of this study was to evaluate whether...
关键词:artificial intelligence INFERTILITY MALE total motile sperm count VARICOCELE 
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 
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