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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Machine learning comparis" (30 stories)

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A systematic comparison of machine learning models for missing value imputation in household electricity consumption data
Lead StoryNaturegeneral
Jun 11

A systematic comparison of machine learning models for missing value imputation in household electricity consumption data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1JNk9zTVhjekQ0MENOYUxHTVY5cWVucE1FTTdCT01TdTB2ZUZtUGV0bXRKNk43amhGeUZvbHlVbkthWU1Bc3NscFFBQUIyV3E2MmMtN2xZUDFxNW1qazl3?oc=5" target="_blank">A systematic comparison of machine learning models for missing value imputation in household electricity consumption data</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Machine learning comparis"

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Comparison of Prognostic Performance Between a Machine Learning Model and Manually Measured Grey-White-Matter Ratio on Early Brain Computed Tomography After Out-of-Hospital Cardiac Arrest
The Cureus Journal of Medical Sciencetech

Comparison of Prognostic Performance Between a Machine Learning Model and Manually Measured Grey-White-Matter Ratio on Early Brain Computed Tomography After Out-of-Hospital Cardiac Arrest

<a href="https://news.google.com/rss/articles/CBMiygJBVV95cUxPREhBdVNZbVZmYzBpSnQyeDA1ejBCLUpSeGJ4SktiSThkWU1zRlVBX1lhMllDVURrd3BMMjRBWUs1SHhLc05scjFrRUVDNjI2eFFxejR0a2xXMWJQZTdMcmdXVEt3eXU4aWpoMS0xN0lncFlNdGNnS2hwREpIRnRWb2puSzN3TUppbVdiRzVUMFZkd1J2eUpTcnBOZC1Sdmo4Z2N1R3E4ZWRQRUh0dW5MLXNuN3R1ZENEZFUzNDVrWG8xWkhwYzBWcUNlbE9seVFsNVNTQ1NxWmpGMUk4T1FVcG1aZjljb1dabUl4VW56OHZUaHNKVnV3WkJUV3lMOGdPNVItYlYtVlp3S2tPY2JucmczMWxPLVdjSmRNa1Y4bXhKTzYyNllyQ3I5LV9wMUR4Tk16LW5vYjNsSGdOanZYUWwwM3VyUU1hMVE?oc=5" target="_blank">Comparison of Prognostic Performance Between a Machine Learning Model and Manually Measured Grey-White-Matter Ratio on Early Brain Computed Tomography After Out-of-Hospital Cardiac Arrest</a>  <font color="#6f6f6f">The Cureus Journal of Medical Science</font>

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Machine learning for quantitative LIBS analysis of aluminum alloys: a comparison of random forest, gradient boosting, and extremely randomized trees
Naturegeneral

Machine learning for quantitative LIBS analysis of aluminum alloys: a comparison of random forest, gradient boosting, and extremely randomized trees

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5Mc0xpZ0dHZmNNSTJfZlpCdFo3cW1xQ0pTN2hIUGRiNHdXSThWMG5Ra1FnUzNMSEdjb2c1YnZIUUVlZE5KVnBTc1JKVGdMR2dvMTdHOWpWQzBvcWpjVnAw?oc=5" target="_blank">Machine learning for quantitative LIBS analysis of aluminum alloys: a comparison of random forest, gradient boosting, and extremely randomized trees</a>  <font color="#6f6f6f">Nature</font>

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Modeling and Comparison of Machine-Learning Algorithms for Energy Consumption Prediction in Smart Buildings
SciELO Méxicogeneral

Modeling and Comparison of Machine-Learning Algorithms for Energy Consumption Prediction in Smart Buildings

<a href="https://news.google.com/rss/articles/CBMiigFBVV95cUxOdjRMU1oyWWJ4cnpvOWg5d1MwZVI4cmhXRHNGMm9UQUFzMVhZRkZuaDhjazhKb3hLQUFnQXg1eUcybDdzWHdibVFTOGtNVWpOdmVMTWx3dmxmRVJHQmNlZVpaTXQxU1RuZnN5bFZ3NzdnT29NdGFKVlJTcEphSXdIVmxlVjNPS3BpM3c?oc=5" target="_blank">Modeling and Comparison of Machine-Learning Algorithms for Energy Consumption Prediction in Smart Buildings</a>  <font color="#6f6f6f">SciELO México</font>

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Heart Failure Prediction: An Explainable Cross-Validated Comparison of Several Machine Learning Models
medRxivtech

Heart Failure Prediction: An Explainable Cross-Validated Comparison of Several Machine Learning Models

<a href="https://news.google.com/rss/articles/CBMie0FVX3lxTE5pS0hQZTdGVVBKX3lQUjRlZ1J4RzJOUjZVSmFRMG9DWWhUMThoOFlyaVM0LXdzMHhuY2ZQWi0wUVRGVkVXVkFpd0JFTG81SUt6dGxKaTRFTzF6U0Z4Z1dvZTZDSmcwc3dkSEllVzJ3OWdHZDRGbFpYQnR6SQ?oc=5" target="_blank">Heart Failure Prediction: An Explainable Cross-Validated Comparison of Several Machine Learning Models</a>  <font color="#6f6f6f">medRxiv</font>

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Supervised machine learning algorithms for classifications of gender-based violence in Somalia: a comparison of oversampling techniques
Naturetech

Supervised machine learning algorithms for classifications of gender-based violence in Somalia: a comparison of oversampling techniques

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFAzRlQtU2JFOEhmTHFGZ3FtN2xHanl5WlQ5UGpoRlF6eVBWYWlxSmtQSVlLdXk0a1BmQXA5Ylh6YmMtVlRfZXV1ZjJiM3lZdzNaeFlHSHJxOFNNWFk5ZUxN?oc=5" target="_blank">Supervised machine learning algorithms for classifications of gender-based violence in Somalia: a comparison of oversampling techniques</a>  <font color="#6f6f6f">Nature</font>

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Zero-shot traffic flow prediction with foundation models: a comparison with deep learning approaches
Natureworld

Zero-shot traffic flow prediction with foundation models: a comparison with deep learning approaches

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE0xQXpvbHZDaTFVLWhuWDJxR09ISWVhWlRoWWpGeG1CZXowb042dUVvdVBfOWhOeXVTVHhZeTV3WWhhOElUaFB1cF9raE44TjkxcWRYeVZCd0VLVUpKN1Bv?oc=5" target="_blank">Zero-shot traffic flow prediction with foundation models: a comparison with deep learning approaches</a>  <font color="#6f6f6f">Nature</font>

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Analysis and comparison of two selected machine learning algorithms for enhancing wireless sensor network protocols
Naturegeneral

Analysis and comparison of two selected machine learning algorithms for enhancing wireless sensor network protocols

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9XeE04bTRPaHZxS1VidF9ybzVoQ0k3SUdKeUdrNFNnUmlKX045SXppaURhOVZlS0UteC1HY1RIZGtGUmJOSTJaSHdTbm13VU1mdjFtWDZDM2RiYUVGNVRN?oc=5" target="_blank">Analysis and comparison of two selected machine learning algorithms for enhancing wireless sensor network protocols</a>  <font color="#6f6f6f">Nature</font>

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Interpretable machine learning framework for urban flood susceptibility assessment: a multi-model comparison with spatial heterogeneity analysis in Yancheng
Naturegeneral

Interpretable machine learning framework for urban flood susceptibility assessment: a multi-model comparison with spatial heterogeneity analysis in Yancheng

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE8ybTNMc3ZwNkY2NEZ5X1RPWlFZc0dTMjBiS015bjc2dDFVNUllc2hqajZQMmRnT2o2SThaQkUwS1htV24yejJiTGk2cTFTdllXN3hTVGhLYWpialBoWURB?oc=5" target="_blank">Interpretable machine learning framework for urban flood susceptibility assessment: a multi-model comparison with spatial heterogeneity analysis in Yancheng</a>  <font color="#6f6f6f">Nature</font>

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Quantitative comparison of explainable AI methods for interpreting deep learning–based classification of 3D gait kinematics
Naturetech

Quantitative comparison of explainable AI methods for interpreting deep learning–based classification of 3D gait kinematics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE80TGJJLU5hYkIyd1kwQXNuSWZhSV9DQkw5QmZlRmNzQ1JVLW42MlZuNGJvX1FmcU9VOVFkUDRJRGtNZW91OFZTRTRCQTV4RVNLZDBNRGJYMFlhMXdYUTZ3?oc=5" target="_blank">Quantitative comparison of explainable AI methods for interpreting deep learning–based classification of 3D gait kinematics</a>  <font color="#6f6f6f">Nature</font>

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Experimental and machine learning-based comparison of swirling and conventional conical fluidized bed reactors for enhanced thermal performance
Naturegeneral

Experimental and machine learning-based comparison of swirling and conventional conical fluidized bed reactors for enhanced thermal performance

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBjWDVWd2tmMnMxcE1jcFQxdmFQdEI1OHdIN2laSUZiZlQ0ZzdXZlJsT2hSY3hMQXJLeGs2WGI1bmtTN0tRTDBwdmhGTDBaMzhkRnE0WVUwOFpfS09zd2NF?oc=5" target="_blank">Experimental and machine learning-based comparison of swirling and conventional conical fluidized bed reactors for enhanced thermal performance</a>  <font color="#6f6f6f">Nature</font>

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A data driven comparison of hybrid machine learning techniques for soil moisture modeling using remote sensing imagery
Naturetech

A data driven comparison of hybrid machine learning techniques for soil moisture modeling using remote sensing imagery

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5YcUJrckp4NnBHMkNrZzlZNzFVVTRFVUJUT0twN1cyX0RLeHJVZVBYNmxXMUl1QXphX0lmUXpGUXRTNDUwNzA1b3J1cWptLUdaMUZoenkySldUenVHR2RF?oc=5" target="_blank">A data driven comparison of hybrid machine learning techniques for soil moisture modeling using remote sensing imagery</a>  <font color="#6f6f6f">Nature</font>

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Flood susceptibility assessment using three machine learning techniques and comparison of their performance
Naturetech

Flood susceptibility assessment using three machine learning techniques and comparison of their performance

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5tZnpFTFlfNWNySG1iRDFZTVNOY3E5UWtMWDU1VTVPQ1d6bXlvb3Q3WXkyXzhVZ1ZFVjQwMW1BZ01rZUNkd1lzZGI1MlpkTUUzSWxoc1FhaG9MMXJoczBz?oc=5" target="_blank">Flood susceptibility assessment using three machine learning techniques and comparison of their performance</a>  <font color="#6f6f6f">Nature</font>

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Comparison of machine learning classification and regression models for prediction of academic performance among postgraduate public health students
Naturescience

Comparison of machine learning classification and regression models for prediction of academic performance among postgraduate public health students

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5fTnBpRzB1eThZWlR4SkFOcW5NLXk1cnpMaVpIWl9scTZKYnF6U1hKYzhGLXlvOVVvOXlBN1RQOXhRN1pZVm1uVzZlei1fdWgtaHV4VXNIUnBnTnptUk5V?oc=5" target="_blank">Comparison of machine learning classification and regression models for prediction of academic performance among postgraduate public health students</a>  <font color="#6f6f6f">Nature</font>

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Comparison of machine learning models for mapping Arecanut based agroforestry system in Goa by enhancing precision and efficiency
Naturegeneral

Comparison of machine learning models for mapping Arecanut based agroforestry system in Goa by enhancing precision and efficiency

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1rNUVtNXdMNk11aGFDZjZuRlBVZFhsWW5XMkF2SDBkYTVrS2kxeUc2R2tMRHotcm5xazNsQmwzR3ktNEtRcVJPWFk0b3ljcWs2UkxTVjZDTWRsOGRLR1NZ?oc=5" target="_blank">Comparison of machine learning models for mapping Arecanut based agroforestry system in Goa by enhancing precision and efficiency</a>  <font color="#6f6f6f">Nature</font>

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Comparison of manifold learning algorithms for identifying geochemical anomalies associated with copper mineralization
Naturegeneral

Comparison of manifold learning algorithms for identifying geochemical anomalies associated with copper mineralization

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE95SmQyMlBDU3dtd1FMZ19hNS1nTHo1NURBbFJLcGRYTURFeUZHa1BRaW5fUy1TN0YwZUZOWkFtdTZqZEp6Q3lHY045Tlg1SHhyRV9KTnlvZTVnNFl2VF84?oc=5" target="_blank">Comparison of manifold learning algorithms for identifying geochemical anomalies associated with copper mineralization</a>  <font color="#6f6f6f">Nature</font>

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Comparison of advanced signal decomposition techniques for the classification of PQDs by machine learning algorithms
Naturetech

Comparison of advanced signal decomposition techniques for the classification of PQDs by machine learning algorithms

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBWbFRWcjUwSHVUa2drNk81d3FuRW1udHNFMWFoY1c5TGN1VUx2R1ZIbFhMeFdQTzZGdEZLM2tzNTItZlA3OHczcmxDdGZkU2hQNkJ2ci1BVk9XVHlRSFdN?oc=5" target="_blank">Comparison of advanced signal decomposition techniques for the classification of PQDs by machine learning algorithms</a>  <font color="#6f6f6f">Nature</font>

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A comparison between machine and deep learning models on high stationarity data
Naturegeneral

A comparison between machine and deep learning models on high stationarity data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5WOC1uQWExS2lJZWpxQnFVUk55bW8tdmllZG1JZWh6dVUydVBCRXhjN050UEEyV3UtTVo2SFg4ZWF0TUc2WkNHemQxYU4xRUtqWkxpUGlUQmdJZDgwd3J3?oc=5" target="_blank">A comparison between machine and deep learning models on high stationarity data</a>  <font color="#6f6f6f">Nature</font>

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Comparison of machine learning models for mucopolysaccharidosis early diagnosis using UAE medical records
Naturegeneral

Comparison of machine learning models for mucopolysaccharidosis early diagnosis using UAE medical records

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBJOTdXa29QQ24zbzJHR0dxeVpIcHJicmZYNmdKd2JBX19tbGhkYV9pUzRTMnJvT2w0Qmdhb2V3QWNRaTZQakNJSVRkZmV3Yk1vdFE4TGN5cGtKQzhsc3Uw?oc=5" target="_blank">Comparison of machine learning models for mucopolysaccharidosis early diagnosis using UAE medical records</a>  <font color="#6f6f6f">Nature</font>

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Comparison of deep and conventional machine learning models for prediction of one supply chain management distribution cost
Naturetech

Comparison of deep and conventional machine learning models for prediction of one supply chain management distribution cost

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5BSGpYVWw1a3drTGpxXy10V19tTG5XYThoU0NzU1dmTHBWd3lkam5laXpUa3p0TzRpYWloNkk2SXNid2ZGY0NFSm5BYUhtSnFVWUV3U29hUUFrSC1fMTZ3?oc=5" target="_blank">Comparison of deep and conventional machine learning models for prediction of one supply chain management distribution cost</a>  <font color="#6f6f6f">Nature</font>

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Comparison of the prediction accuracy of machine learning algorithms in crosslinguistic vowel classification
Naturegeneral

Comparison of the prediction accuracy of machine learning algorithms in crosslinguistic vowel classification

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1pcW1Gd0VvWU5FcGFTTG1yckI3LWk5MkNZQV9YWFpZNDA3ZXptb1FQZ1R2TXRzYkRBX0VnaGdIRVZ1bUFzZlZfT1ZaUnRmX0k1VkYyeGxBQWlnWGdNOFZF?oc=5" target="_blank">Comparison of the prediction accuracy of machine learning algorithms in crosslinguistic vowel classification</a>  <font color="#6f6f6f">Nature</font>

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Machine learning comparison for biomarker level estimation in wastewater dynamics monitoring
Naturegeneral

Machine learning comparison for biomarker level estimation in wastewater dynamics monitoring

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9PZkNEeE5sQmQ0eWxVaW90cFRUOHFfNDRlQWdFMXNLWE4wZmh3NVhEai13Umd5c0RPOHh4YTdZT3V6QnBaV0RnUi0xSE52cHN5dkxqa2NRTXVEQy1lQ2xB?oc=5" target="_blank">Machine learning comparison for biomarker level estimation in wastewater dynamics monitoring</a>  <font color="#6f6f6f">Nature</font>

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A comparison of machine learning algorithms and traditional regression-based statistical modeling for predicting hypertension incidence in a Canadian population
Naturegeneral

A comparison of machine learning algorithms and traditional regression-based statistical modeling for predicting hypertension incidence in a Canadian population

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5WQ1k4M0k2M282eTY1ai1zZUl0TzdxRzJpeEo0b1hBS0MxM3l5SmY4TzUyaU5qUW9GQkNiWUJrMWNUZnJST2Y3OWFtTXM4RVVsUFJZRjVCUzBLQkFGSEtv?oc=5" target="_blank">A comparison of machine learning algorithms and traditional regression-based statistical modeling for predicting hypertension incidence in a Canadian population</a>  <font color="#6f6f6f">Nature</font>

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Comparison between logistic regression and machine learning algorithms on prediction of noise-induced hearing loss and investigation of SNP loci
Naturegeneral

Comparison between logistic regression and machine learning algorithms on prediction of noise-induced hearing loss and investigation of SNP loci

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE40U3VJUW9kN2tiU1Y1OXhFMjdyekhVYXRIb1h4Q08wYWZZVWJIUU1EblFka19UVlBVejBZZGxaU3phcVVUV1VBMm9mNXFFbDlTdzBkLTQ3Wldrc2ZhNUhn?oc=5" target="_blank">Comparison between logistic regression and machine learning algorithms on prediction of noise-induced hearing loss and investigation of SNP loci</a>  <font color="#6f6f6f">Nature</font>

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A comparison of machine learning methods to classify radioactive elements using prompt-gamma-ray neutron activation data
Naturegeneral

A comparison of machine learning methods to classify radioactive elements using prompt-gamma-ray neutron activation data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBjRFo4OUlrb2JSaERsQzNlZjA4M0VXWXp1bWQ2ejdlSlZYZDFBQW9HRGxTdFYwMGNRNmVkdGk5Z2NhQkF1Zm5tU1pEZFEtRVBsN1otMlFuSENnTVdFZXkw?oc=5" target="_blank">A comparison of machine learning methods to classify radioactive elements using prompt-gamma-ray neutron activation data</a>  <font color="#6f6f6f">Nature</font>

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Comparison of deep learning models for predictive maintenance in industrial manufacturing systems using sensor data
Naturetech

Comparison of deep learning models for predictive maintenance in industrial manufacturing systems using sensor data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1LNDJfR2ZDUlFxckctSFNTRmprZVlBRGE2WndvaVZPQkVuMFNhaW0yWFkyYUcxeGFRLUxkSk5UMFN1QnZzTm5zNWlzdTlmWjduU1RmZWVsVFF3WVRPZHd3?oc=5" target="_blank">Comparison of deep learning models for predictive maintenance in industrial manufacturing systems using sensor data</a>  <font color="#6f6f6f">Nature</font>

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Explainable artificial intelligence for stroke prediction through comparison of deep learning and machine learning models
Naturetech

Explainable artificial intelligence for stroke prediction through comparison of deep learning and machine learning models

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9YZTk5Vi1PQjNYUG53dVlWeHR6UFNGRFNrejhsUm1aMWdRcmk2Qk5FaDM4dkx6RGNtaUJ2NWRlZnpENm1waGtRTVNVYnBIVXNqZE1sSTd6MUxpeWZLajlj?oc=5" target="_blank">Explainable artificial intelligence for stroke prediction through comparison of deep learning and machine learning models</a>  <font color="#6f6f6f">Nature</font>

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Comparison of machine learning models for rock UCS prediction using measurement while drilling data
Naturegeneral

Comparison of machine learning models for rock UCS prediction using measurement while drilling data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE03ckRUcEVaYjRWZEdyZndjV0owWHVPNktpOEdjZkJBSUNZalNFUXFOb0dCQm9LRFNCaXVNb2owZktzZmVoZGM5cEdZdWNUSEM2T1Fqc3llU3YzMmp2ejVz?oc=5" target="_blank">Comparison of machine learning models for rock UCS prediction using measurement while drilling data</a>  <font color="#6f6f6f">Nature</font>

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A comparison of machine learning models’ accuracy in predicting lower-limb joints’ kinematics, kinetics, and muscle forces from wearable sensors
Naturegeneral

A comparison of machine learning models’ accuracy in predicting lower-limb joints’ kinematics, kinetics, and muscle forces from wearable sensors

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBpVzMxVUlfb2dzRUZ5d21qQWxZVlhHWGJLaTZQMFZFY29hOVBXUDgzaTdoV3prclZ0ME1JSlpJWk5kVnVsbjFnUDB4WGdTa29vd1NUYjB4c3Y4WVZ4eG40?oc=5" target="_blank">A comparison of machine learning models’ accuracy in predicting lower-limb joints’ kinematics, kinetics, and muscle forces from wearable sensors</a>  <font color="#6f6f6f">Nature</font>

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Comparison of NLP machine learning models with human physicians for ASA Physical Status classification
Naturegeneral

Comparison of NLP machine learning models with human physicians for ASA Physical Status classification

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5QY1kzdTVLNWZ4UkpuWFNCQnBOMjRGZWdJTnVvV1YwZV9uSXBKX3U5SGlsSkJNSE03MkhnZXNUTDNNbWJoSGJfVmg0TXNWVmtNc0VMMDJEeE1UZk1WSHRJ?oc=5" target="_blank">Comparison of NLP machine learning models with human physicians for ASA Physical Status classification</a>  <font color="#6f6f6f">Nature</font>

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