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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Improving multi-variable" (30 stories)

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Improving multi-variable weather forecasting with spatiotemporal feature interaction and large-kernel modeling
Lead StoryNaturegeneral
Mar 12

Improving multi-variable weather forecasting with spatiotemporal feature interaction and large-kernel modeling

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1JNTFEOGt4cEhGMW0ydXpjMFlOai1oc08xdjhOZ1hjYkZESVp3U2Jlbm1VRUZiNHBKcFpTX1VEOVhJSnlXQWpVRVNtVG5qUHBMVVUtU21wTVFvOG1LcjZj?oc=5" target="_blank">Improving multi-variable weather forecasting with spatiotemporal feature interaction and large-kernel modeling</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Improving multi-variable"

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Improving Day-Ahead Grid Carbon Intensity Forecasting by Joint Modeling of Local-Temporal and Cross-Variable Dependencies Across Different Frequencies
The Association for the Advancement of Artificial Intelligencegeneral

Improving Day-Ahead Grid Carbon Intensity Forecasting by Joint Modeling of Local-Temporal and Cross-Variable Dependencies Across Different Frequencies

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE5MczhTUjVSTHdYTzZrTFdnM3Fkb2VLcF8yRG9zSTIyWlMtWUotYm1tVE1YSTVVYml2OHZXSjZ4S3AwM0IyMnktRGZBeVBHbUVoOXFESnRPMFdjWTRlRFJoc3p1SWk?oc=5" target="_blank">Improving Day-Ahead Grid Carbon Intensity Forecasting by Joint Modeling of Local-Temporal and Cross-Variable Dependencies Across Different Frequencies</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Variable Rate Technology Market Share, Size, Trends, 2034
Fortune Business Insightstech

Variable Rate Technology Market Share, Size, Trends, 2034

<a href="https://news.google.com/rss/articles/CBMihAFBVV95cUxPTHlIYlg4Z2ZiMzNLekR3U0l0ZkhJSGpNMk9VV1BiOG8xdlpYUUwyS1o4Q3hsVnJmUlRzN2xPNE56Z0EtMGx5UVRWa0p5YVdZeDhQeEVrdkVoT2d0ZWw0VmdMY3BKYkJjbTFHVjM3S005LWhVWHg3eXJKU21rMUwyMmdBcTA?oc=5" target="_blank">Variable Rate Technology Market Share, Size, Trends, 2034</a>  <font color="#6f6f6f">Fortune Business Insights</font>

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GMHEA: A New Software for the Multi-Variable Optimization of High-Entropy Alloy by the Improved Genetic Algorithm and Effective Medium Theory
Wiley Online Librarytech

GMHEA: A New Software for the Multi-Variable Optimization of High-Entropy Alloy by the Improved Genetic Algorithm and Effective Medium Theory

<a href="https://news.google.com/rss/articles/CBMiakFVX3lxTE9TWS1RaUFKUVgtYUM0UDhFVU5nV1lybS1udlY0TzR5OEJUYkhsaklLZzdORm8wOTZNdnZ6Sms0NkRhMUZkb1dQbDRTdFVYd0VsZ1k2d09lWklFSjVLRUFzckFlTVQ5bUk5V1E?oc=5" target="_blank">GMHEA: A New Software for the Multi-Variable Optimization of High-Entropy Alloy by the Improved Genetic Algorithm and Effective Medium Theory</a>  <font color="#6f6f6f">Wiley Online Library</font>

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AI-guided CAR designs and targeted pathway modulation to enhance multi-antigen CAR T cell durability and overcome antigen escape
Naturetech

AI-guided CAR designs and targeted pathway modulation to enhance multi-antigen CAR T cell durability and overcome antigen escape

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBNLXhZa1Vud0oxTTRQUF9TOXhVNk5DRU1RNV9KZ0U5ZTFSSkplbVJhb0VfWndVTER6VE1SVkdrdndXZGRRcFdPMUUzRDJwUVpJOEhZS3VIeHBhVmJyS0lV?oc=5" target="_blank">AI-guided CAR designs and targeted pathway modulation to enhance multi-antigen CAR T cell durability and overcome antigen escape</a>  <font color="#6f6f6f">Nature</font>

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Improving the Indian Monsoon Data Assimilation and Analysis regional reanalysis maximum and minimum temperatures over India using machine-learning techniques
Wiley & Sonstech

Improving the Indian Monsoon Data Assimilation and Analysis regional reanalysis maximum and minimum temperatures over India using machine-learning techniques

<a href="https://news.google.com/rss/articles/CBMiakFVX3lxTFB3akJmMkxBcWVKNWM3X3BDSXdyODJqaE40elY3TkpQVy01STcxSV90MkxnR1BsREVCZnJpS2NEZ05fMXkxQnhkR01sWk5zYjZvaTRxdGc3a0doQWd6VHMtT2V1Q1pRSGZRemc?oc=5" target="_blank">Improving the Indian Monsoon Data Assimilation and Analysis regional reanalysis maximum and minimum temperatures over India using machine-learning techniques</a>  <font color="#6f6f6f">Wiley & Sons</font>

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Atomoxetine Plus Oxybutynin Improves Multiple Variables in Obstructive Sleep Apnea
Pulmonology Advisorgeneral

Atomoxetine Plus Oxybutynin Improves Multiple Variables in Obstructive Sleep Apnea

<a href="https://news.google.com/rss/articles/CBMiqgFBVV95cUxNU1VfdXVFa1VJWldHRG5pN3VWYzlycC02T1JzTlpuZUJDSHhYRFM5TF9xeF84cVU3TmJwYTlHT084NlZ4ZTJJMWpESHNKY1JJdHlZckRlMndhQUptbkpkUU9iQ2EtWEozVHY4ZHgwTXQtRklGd0VjeHB5QlE3cDFhWXUySnh4dVFzaEdzSW5hRTI3QjlnVmlPbnNIbzZJZldJTVVkdnljeGp2Zw?oc=5" target="_blank">Atomoxetine Plus Oxybutynin Improves Multiple Variables in Obstructive Sleep Apnea</a>  <font color="#6f6f6f">Pulmonology Advisor</font>

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An improved grey wolf optimizer with multi-stage differentiation strategies coverage in three-dimensional wireless sensor network
Naturegeneral

An improved grey wolf optimizer with multi-stage differentiation strategies coverage in three-dimensional wireless sensor network

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1CN0R6X3lUREJNVEF6UTI5WUU1M1A3alNDNHM3cHZjakNuZ25BcWtBQmFTZEdQeDdxYjVGbURWbzhuZGxMZGFodTA0YVdnMXhmUi1hVFZNRUI2aW9udEFZ?oc=5" target="_blank">An improved grey wolf optimizer with multi-stage differentiation strategies coverage in three-dimensional wireless sensor network</a>  <font color="#6f6f6f">Nature</font>

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Multivariable Integrated Evaluation of Hydrodynamic Modeling: A Comparison of Performance Considering Different Baseline Topography Data - Modi - 2022 - Water Resources Research
AGU Publicationsgeneral

Multivariable Integrated Evaluation of Hydrodynamic Modeling: A Comparison of Performance Considering Different Baseline Topography Data - Modi - 2022 - Water Resources Research

<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTE5NR2VhREVxUHhhYWJZSVFwMGFwYjdFQ2ZMc1NsQW82LTJqcTRjY2JlMzNiLWlITHRSWWlOVUR6RUlrYUtjYTZKNGFHd1UwUUtGaVF1UEI3R3VNeFRfTnNzaG9BU09EX2lGRE13SHNLTUhiZW9BNDhvXw?oc=5" target="_blank">Multivariable Integrated Evaluation of Hydrodynamic Modeling: A Comparison of Performance Considering Different Baseline Topography Data - Modi - 2022 - Water Resources Research</a>  <font color="#6f6f6f">AGU Publications</font>

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Improving long-term multivariate time series forecasting with a seasonal-trend decomposition-based 2-dimensional temporal convolution dense network
Naturegeneral

Improving long-term multivariate time series forecasting with a seasonal-trend decomposition-based 2-dimensional temporal convolution dense network

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5RaUdyQWNZMndlRG1WQVpuMHM5enZGd3pxQzZzc0Nvb1R4U28wVVVUSTJIdkJ4U0tEc2ZVeU9feElDc1laWlNnTHdTeGxGQVl1MzZCOGNycEFpcnE3VVZZ?oc=5" target="_blank">Improving long-term multivariate time series forecasting with a seasonal-trend decomposition-based 2-dimensional temporal convolution dense network</a>  <font color="#6f6f6f">Nature</font>

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Improving multiple model ensemble predictions of daily precipitation and temperature through machine learning techniques
Naturetech

Improving multiple model ensemble predictions of daily precipitation and temperature through machine learning techniques

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE12TW5Pa1Z3ZVJTVUtjZHFxLUlFMlRqb0VZV2EwNnBleU9DUWlmSHBIT01KMWxiRnFkSE50TGVsV3UwSDVwQnNfbkhJaXBfRGlud0x0QkNYUWlYTzI3ZWI4?oc=5" target="_blank">Improving multiple model ensemble predictions of daily precipitation and temperature through machine learning techniques</a>  <font color="#6f6f6f">Nature</font>

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Improved parallel magnetic resonance imaging reconstruction with multiple variable density sampling
Naturegeneral

Improved parallel magnetic resonance imaging reconstruction with multiple variable density sampling

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBEYmtFeGVYZ0tad3QzOE1zZVk2VkxlYzl5SHBkWFRWR3otX1hCMzQ1NnlHQlpub2JicWFUN2l1WEZoYU1EazN4Zl96ZDV0a3NjUHh5MW5iNDJIQnNOaDg0?oc=5" target="_blank">Improved parallel magnetic resonance imaging reconstruction with multiple variable density sampling</a>  <font color="#6f6f6f">Nature</font>

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A novel diagnosis methodology of gear oil for wind turbine combining Stepwise multivariate regression and clustered federated learning framework | Scientific Reports
Naturemarkets

A novel diagnosis methodology of gear oil for wind turbine combining Stepwise multivariate regression and clustered federated learning framework | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE15T3NVemEycTNNcGpMSzdzeW5UTHRkMWlLLS1VOFJVZ2ZFbnZ5WFVPcm1rRDN2YWRWdG9Wa0J2NFR3TmpINGhtWDI1MmFFMDJEeVdIQ2Jma3RiQW9WZTFz?oc=5" target="_blank">A novel diagnosis methodology of gear oil for wind turbine combining Stepwise multivariate regression and clustered federated learning framework | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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Enhance triangular fuzzy parametric framework for solid multi objective transportation problem with split decision variables
Naturegeneral

Enhance triangular fuzzy parametric framework for solid multi objective transportation problem with split decision variables

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE0walJ6ejhqaEJJcUNYMDUtRy0xX0dua1R2c3JhbWYyNDV0WmgxNmRtT0dzTklkQUUtRDhPdHRuc2hKNnR0T3ZQTlJyZFFDemZ6ZF9EQW1CNXlBUldZcFFV?oc=5" target="_blank">Enhance triangular fuzzy parametric framework for solid multi objective transportation problem with split decision variables</a>  <font color="#6f6f6f">Nature</font>

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A multivariate time series prediction model based on the KAN network
Naturegeneral

A multivariate time series prediction model based on the KAN network

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBydjdETGhpUlBIbE1IM09JdFNvazBzNDZaWTJieDBqTm50ZmhxMTdyZzFjOUR5aW9UOGY2X1lfd1FjR3dXR24yNlVFNDVBN0Y3UGZqamg4OFVfaHJKaFRV?oc=5" target="_blank">A multivariate time series prediction model based on the KAN network</a>  <font color="#6f6f6f">Nature</font>

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Multivariate analysis methods improve the selection of strawberry genotypes with low cold requirement
Naturepolitics

Multivariate analysis methods improve the selection of strawberry genotypes with low cold requirement

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB1bTU0Zk8yNkZOTm9VQlp1SlJmOWF0TVBoOVA0WlN2YzFzMnpFcDgtSTc0czgxaHNxczI4NmMyNmRsOWVlTkdxb2Y1QnluYi01RFN6MDl1Y1Z2WDlOWUUw?oc=5" target="_blank">Multivariate analysis methods improve the selection of strawberry genotypes with low cold requirement</a>  <font color="#6f6f6f">Nature</font>

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Environmental variables improve the accuracy of remote sensing estimation of soil organic carbon content
Naturegeneral

Environmental variables improve the accuracy of remote sensing estimation of soil organic carbon content

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBuc1l6V1doWTVEalFBNThOUGU1VDBkQ1p4ajNIdzRKUzdnMEFyNlZuenkybmg2NWU0SXVsWF9GMmd5YzJaQ0tZcG1Pb01YYkhZRUxDZ3JtU3NwZmotMThN?oc=5" target="_blank">Environmental variables improve the accuracy of remote sensing estimation of soil organic carbon content</a>  <font color="#6f6f6f">Nature</font>

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A non-stationary bias adjustment method for improving the inter-annual variability and persistence of projected precipitation
Naturegeneral

A non-stationary bias adjustment method for improving the inter-annual variability and persistence of projected precipitation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBEaEZUQlpINWxSNWh5MDY5R0owNjR1cm8teUw2Z3J5OXBMVFd3MHNUeEZKWEQ4V2VQU0pDMkVUNXR2OW1VcTB2cHRubVEzV2o3RTBxRFFpX3ItQVUtYnNz?oc=5" target="_blank">A non-stationary bias adjustment method for improving the inter-annual variability and persistence of projected precipitation</a>  <font color="#6f6f6f">Nature</font>

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Multivariable regression models improve accuracy and sensitive grading of antibiotic resistance mutations in Mycobacterium tuberculosis
Naturegeneral

Multivariable regression models improve accuracy and sensitive grading of antibiotic resistance mutations in Mycobacterium tuberculosis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE56aC1LbWtZUDFmZHBsMlA3ZjhscC1wa1RBQy1jNnNSZ3pjS1dIcUszNW1pdERpZ1FCa2pPamRDbWJHWTdMWWQ2SVBoQi1mbDhKRGtjbzJzTHU3ejJPNjUw?oc=5" target="_blank">Multivariable regression models improve accuracy and sensitive grading of antibiotic resistance mutations in Mycobacterium tuberculosis</a>  <font color="#6f6f6f">Nature</font>

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Flexynesis: A deep learning toolkit for bulk multi-omics data integration for precision oncology and beyond
Naturegeneral

Flexynesis: A deep learning toolkit for bulk multi-omics data integration for precision oncology and beyond

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1mRjltTHdMR1ZzZ2JzTG1Hd3dSUFBfTTc1WTZZU3U1eVVJSEw5eFh5Y3IzVHRMLWhwQ3hITzZKQmJMWGFzUUQ1STRPNjF4UXFHVTdqbS1GYWpmdkNHNEp3?oc=5" target="_blank">Flexynesis: A deep learning toolkit for bulk multi-omics data integration for precision oncology and beyond</a>  <font color="#6f6f6f">Nature</font>

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An optimized instrument variable selection approach to improve causality estimation in association studies
Naturepolitics

An optimized instrument variable selection approach to improve causality estimation in association studies

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5KMDQ1S2oxWWxHLUg3NzNRY3VnVmlqajVFUW91V3hzRWhMbFg2TDBVd1ZhdnN6ZmpxdUF3ZFNTLXItc19zYjFmUWxrUG9mOTZHUGlxVWZ5eEJOYjhsaXlz?oc=5" target="_blank">An optimized instrument variable selection approach to improve causality estimation in association studies</a>  <font color="#6f6f6f">Nature</font>

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A hybrid intelligent optimization algorithm combining weighted K-means clustering and improved ABC for optimal deployment of prehospital emergency heliports
Naturegeneral

A hybrid intelligent optimization algorithm combining weighted K-means clustering and improved ABC for optimal deployment of prehospital emergency heliports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBLRlBjVnFQbW5LUVZ3MGh1Z1JXU1UyVzFQbGVtVG1sbWJxaElHc1NSSFJORVBoOEl3WmN0Y2JYbnBFV3Z0YWNzNFBPcHR3b2xwYk9zWG1JR3NBU1hMeVFv?oc=5" target="_blank">A hybrid intelligent optimization algorithm combining weighted K-means clustering and improved ABC for optimal deployment of prehospital emergency heliports</a>  <font color="#6f6f6f">Nature</font>

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Improving the Predictive Skill of a Distributed Hydrological Model by Calibration on Spatial Patterns With Multiple Satellite Data Sets - Dembélé - 2020 - Water Resources Research
AGU Publicationsgeneral

Improving the Predictive Skill of a Distributed Hydrological Model by Calibration on Spatial Patterns With Multiple Satellite Data Sets - Dembélé - 2020 - Water Resources Research

<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTE9YbmNkYm11VTdKZXR5Rm15QTNXQzZsTlVaYXRsT0s2Q3g3WUVVS3cycGI1eEd1ZFR3YTNzWDgyNkFyaGVGMFBoS1E5YTJHaF9EVjU3RTVMUjExcVlRWDZoS3ZHR1N3VlY0R0o2OVZSNE5XeFAzek1FbA?oc=5" target="_blank">Improving the Predictive Skill of a Distributed Hydrological Model by Calibration on Spatial Patterns With Multiple Satellite Data Sets - Dembélé - 2020 - Water Resources Research</a>  <font color="#6f6f6f">AGU Publications</font>

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Improving Streamflow Prediction Using Multiple Hydrological Models and Machine Learning Methods
AGU Publicationsgeneral

Improving Streamflow Prediction Using Multiple Hydrological Models and Machine Learning Methods

<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTFBNX295OGVtWVJ6UXFScFMzMVpreEZhQkhWVWZOc0I3Y2hmT21yZnptS0dCZDQ2QlBRN2RReVBCXzlsNGx0aGdKN1FlQllKb0FFYVNwMHlZei1FX3NLV2U2ZjRBMWY3OXpFWHVMdHROazJXUW9WcDZTWg?oc=5" target="_blank">Improving Streamflow Prediction Using Multiple Hydrological Models and Machine Learning Methods</a>  <font color="#6f6f6f">AGU Publications</font>

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Maximum tolerable excess noise in continuous-variable quantum key distribution and improved lower bound on two-way capacities
Natureworld

Maximum tolerable excess noise in continuous-variable quantum key distribution and improved lower bound on two-way capacities

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5qaWZGUVVTWnV6dHlSOVFxdzNqdTM1NndJR0RpMzBhUTdQZEtXSXY1UU5PRGY2VUFmcVJPNS1DYXBHVGlaSEtzOUxGamlkc2dyMjVWVGlCMzJWVDNaTXE4?oc=5" target="_blank">Maximum tolerable excess noise in continuous-variable quantum key distribution and improved lower bound on two-way capacities</a>  <font color="#6f6f6f">Nature</font>

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Do nutritional variables improve cardiovascular disease prediction? A comparative machine learning analysis
Frontiersgeneral

Do nutritional variables improve cardiovascular disease prediction? A comparative machine learning analysis

<a href="https://news.google.com/rss/articles/CBMijwFBVV95cUxOQk82UUJRTTZRUkRnZVdqLWdSbVhlbS1YcEJPTkxBQ0N5UTg2Y3E2bk81SkZuemVuRjhWOHJBQU9NZlQwSFZZX2JwWVZYZ2FtSFZFRlRiSVluTndRYURRU2FsektIdF9uby1nN3J5N0hheWJZMWxLUDVrc01oT1NNQjBNcndWeHhNeE1BSDQxUQ?oc=5" target="_blank">Do nutritional variables improve cardiovascular disease prediction? A comparative machine learning analysis</a>  <font color="#6f6f6f">Frontiers</font>

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Multi-Satellite Data Assimilation for Large-Scale Hydrological-Hydrodynamic Prediction: Proof of Concept in the Amazon Basin
AGU Publicationsgeneral

Multi-Satellite Data Assimilation for Large-Scale Hydrological-Hydrodynamic Prediction: Proof of Concept in the Amazon Basin

<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTE5nYjA1LU92QlVjZmt0bXl5eEVSTzQ5RGtIT0NIaG5uT3Vod2IyWGRrM3NibkJVdExxVUVrUXh1cnd2dUY1Q3B0M0VRaEpRcXJyMzVFRFpOckNiTkNzaDNwUXJFTDNZQ015Y0w1Zl92azRGa0pBVy1tRA?oc=5" target="_blank">Multi-Satellite Data Assimilation for Large-Scale Hydrological-Hydrodynamic Prediction: Proof of Concept in the Amazon Basin</a>  <font color="#6f6f6f">AGU Publications</font>

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Enhancing enviromics based predictions in common bean multi-environment trials
Naturegeneral

Enhancing enviromics based predictions in common bean multi-environment trials

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBLLTNIUDNVTnJ0R0FWYkJoanVPLXU1VXNwajRjeF9hVml1TlhDaWhMVThVd1prWFdIbUFPWFp5c3NDZWVia3gxS3psUldfdWx1NXZPSjMwWGRUcXBSNGpN?oc=5" target="_blank">Enhancing enviromics based predictions in common bean multi-environment trials</a>  <font color="#6f6f6f">Nature</font>

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Multi-task machine learning improves multi-seasonal prediction of the Indian Ocean Dipole
Naturegeneral

Multi-task machine learning improves multi-seasonal prediction of the Indian Ocean Dipole

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5IbkZ4U0J2Y1kyMWJDNFc2eDNKSnVmT0FOTnVmSlU0MUI0Tm5HTkFSM0ZSNVo0WmR5QjA2NkVSTW1idV94eVJGWnZ4UDlYN0REMTk1Y3puTVBMZ1pNUnFV?oc=5" target="_blank">Multi-task machine learning improves multi-seasonal prediction of the Indian Ocean Dipole</a>  <font color="#6f6f6f">Nature</font>

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A multi-ancestry polygenic risk score improves risk prediction for coronary artery disease
Naturegeneral

A multi-ancestry polygenic risk score improves risk prediction for coronary artery disease

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9jOXl4X0hUMXNlVWxYdE4tdFQzdnZMemwwQnNwY1ZEcm5NT09scEV2X2ROVGVXZDJqay1GcFdLakVfOXlHb2h5ajcxZGZiZXN5cXFxV0hrZGZqdHAwV0xN?oc=5" target="_blank">A multi-ancestry polygenic risk score improves risk prediction for coronary artery disease</a>  <font color="#6f6f6f">Nature</font>

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