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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Combining feature-based a" (30 stories)

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PCOSFusion: a hybrid HOG–LBP feature-based approach for PCOS classification using StackPCOS and StackBoostPCOS
Lead StoryNaturegeneral
Jul 4

PCOSFusion: a hybrid HOG–LBP feature-based approach for PCOS classification using StackPCOS and StackBoostPCOS

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE92YUdFZndfYU9LeGRCMU42bW40NURqOTNlVEJYX0dRWmw5NzlrUDJtSVNkdEpQM2E2QmdXNk9SVDRXcnJzNHNhcEs2elpjdWJXOTJuOFVxZFdiaDBnUS13?oc=5" target="_blank">PCOSFusion: a hybrid HOG–LBP feature-based approach for PCOS classification using StackPCOS and StackBoostPCOS</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Combining feature-based a"

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29 stories displayed
Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability
Naturegeneral

Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1jdEktdm5wTV9xdU9rd09ocXFVb1lNQnFxNFoydVozYjhaQ2lvc21idktCZ0htUHRkZzhPWjl0LUR2M3lBaXMtTVVNc3FTRVIyLUx6MjRuX1duU3o5Yk9Z?oc=5" target="_blank">Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability</a>  <font color="#6f6f6f">Nature</font>

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A cardiovascular disease prediction method based on cross-combination strategy and dynamic weighted stacking ensemble
Naturegeneral

A cardiovascular disease prediction method based on cross-combination strategy and dynamic weighted stacking ensemble

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE4tR2pvRXBqaXhhNzBFQVFRTFJBVmhlSkdIbDdOZWJlbzZqTEt1Mmhzcl9pSHlzaGxzdFBlcXZVNGVpd0N6WXlOWlNHRmF3UWN5SU9pN0VDeUpyYzR6WXJ3?oc=5" target="_blank">A cardiovascular disease prediction method based on cross-combination strategy and dynamic weighted stacking ensemble</a>  <font color="#6f6f6f">Nature</font>

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Contributions of Attention to Learning in Multidimensional Reward Environments
Journal of Neurosciencegeneral

Contributions of Attention to Learning in Multidimensional Reward Environments

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9IT1ZuYkhlNjFSbjl3YzhzbWw2a1JxeXdNdDhlNDNZTy1mcE5qeUJheUc2eUxDNTl6cEZWRXptZU5xMlJxeHdyRXg0MVFVelg0ZV8yc0JzLUdSMVVaQjJB?oc=5" target="_blank">Contributions of Attention to Learning in Multidimensional Reward Environments</a>  <font color="#6f6f6f">Journal of Neuroscience</font>

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Predicting surgical outcome in drug-resistant epilepsy by combining interictal biomarkers within a machine learning framework
Naturegeneral

Predicting surgical outcome in drug-resistant epilepsy by combining interictal biomarkers within a machine learning framework

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5QNEVhSG9RSllvaXhWRFJ5bWVzLWh5SVA2Zm9YLVdKZUZtZm1qMFVLcm5XZV9JVENRelo2VDdDSWV0U3hBMTV2QS1kUTI4a05oR2JEMFFhWndqOFBpRXdZ?oc=5" target="_blank">Predicting surgical outcome in drug-resistant epilepsy by combining interictal biomarkers within a machine learning framework</a>  <font color="#6f6f6f">Nature</font>

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An improved UAV image object detection algorithm combining multi-scale feature fusion and receptive-field attention-based convolution
Naturegeneral

An improved UAV image object detection algorithm combining multi-scale feature fusion and receptive-field attention-based convolution

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9GSWNfc3E1MDl2ZTc3SmgwZkRpVDlhdjZpRkh4ZmN4bVlwdGRMSTVhUjV3VlFLd0pGS1kxUTZ3b0VtSGJBcERMUEczSmlOZHg3STd0d3BPNUlMVThQakJZ?oc=5" target="_blank">An improved UAV image object detection algorithm combining multi-scale feature fusion and receptive-field attention-based convolution</a>  <font color="#6f6f6f">Nature</font>

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Advancing cardiovascular screening: deep learning-based heart-sound classification using SMOTE and temporal modeling
Natureworld

Advancing cardiovascular screening: deep learning-based heart-sound classification using SMOTE and temporal modeling

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9WSXJ3RTNBUWJJVWZUUC1VSmltNk16NndwaUZ5ek9PNmp3MUpXeENuU1NZX2JRMzRuNGRzSVZSZHNfNVZiOGlOMXh4WXFuNXpkZ0c1NVFTaUh4aUQtUkI0?oc=5" target="_blank">Advancing cardiovascular screening: deep learning-based heart-sound classification using SMOTE and temporal modeling</a>  <font color="#6f6f6f">Nature</font>

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A deep learning-based method combines manual and non-manual features for sign language recognition
Naturegeneral

A deep learning-based method combines manual and non-manual features for sign language recognition

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE4wQ2ctcGdaY2ZXOVJqb3dTZW9xVncyU3g1MGZBQjVhNXpXNzlqT0VsLTdnSUl4MlNhbDhvcGhBLXhKbHlHMXl3UUwzTHdPcVF2RUsxVkZQV3oyNEFwNTVV?oc=5" target="_blank">A deep learning-based method combines manual and non-manual features for sign language recognition</a>  <font color="#6f6f6f">Nature</font>

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An epilepsy prediction and management system based on federated learning combined with hybrid harmony search and mutual information (HSA-MI)-based feature selection approach
Naturemarkets

An epilepsy prediction and management system based on federated learning combined with hybrid harmony search and mutual information (HSA-MI)-based feature selection approach

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9rczJ1VGkxVzRVYkZtYmF3UXd1VXVlSWdQM05hZXViZ3VNOF9DSFlzQkNjYUN3dVBjMUlaZzJucTVzV2JsaWctY0pZLTlMd0M4aHJBeF9Za05wYTJfV0FR?oc=5" target="_blank">An epilepsy prediction and management system based on federated learning combined with hybrid harmony search and mutual information (HSA-MI)-based feature selection approach</a>  <font color="#6f6f6f">Nature</font>

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Predicting pathological complete response to breast cancer neoadjuvant therapy using multi-combination machine learning models based on vision transformer features
Naturegeneral

Predicting pathological complete response to breast cancer neoadjuvant therapy using multi-combination machine learning models based on vision transformer features

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9UeGRfWXhBWExydm1GSW52WS1YbHdCRi10WU5XYTZVb1R6bnIya21DeGJHb0tNeXVzNnRYT3FkMV9xVVhWQk5IUmR4LUExR2xsb2duei1uT3pQTXVVRFhz?oc=5" target="_blank">Predicting pathological complete response to breast cancer neoadjuvant therapy using multi-combination machine learning models based on vision transformer features</a>  <font color="#6f6f6f">Nature</font>

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A hybrid deep learning and fuzzy logic framework for feature-based evaluation of english Language learners
Naturegeneral

A hybrid deep learning and fuzzy logic framework for feature-based evaluation of english Language learners

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1yRllhX09LVXNaZURyVExIOE53TWZfTzdndEczY0VscUI1TUc3XzRfeWxaTlptMzJPclJDZjR5V2ZRVXBiay0tbmU4U1QyMkVMZGpEcUdjS2hnN3hsYjMw?oc=5" target="_blank">A hybrid deep learning and fuzzy logic framework for feature-based evaluation of english Language learners</a>  <font color="#6f6f6f">Nature</font>

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A relevant feature combination assisted bi-level evolutionary multi-objective algorithm for feature selection in classification
Naturepolitics

A relevant feature combination assisted bi-level evolutionary multi-objective algorithm for feature selection in classification

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5kekRlUWhPeFRCYVBzTXdkMXNVcnc1LWFDOHFaSkJuN0pfTWZZQmtQRzdoaWpkNjRGcWx1UW1DVlVsUnZjUGFQdWg4elUzWkdjSTRKVnJNYWZldjVBSEMw?oc=5" target="_blank">A relevant feature combination assisted bi-level evolutionary multi-objective algorithm for feature selection in classification</a>  <font color="#6f6f6f">Nature</font>

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A method for filling traffic data based on feature-based combination prediction model
Naturegeneral

A method for filling traffic data based on feature-based combination prediction model

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1mSVVyRmhHVzhKeXJfSV94dnZkZ1ZIOU9VTTZZTjdiV0E4UVd3UEptOVRYTTQ4UlZ1akxPRUdfQXFnbDR2WXd4a3RrSVd6ZFpfVF9Bc1lMcC1TdzJNSGFV?oc=5" target="_blank">A method for filling traffic data based on feature-based combination prediction model</a>  <font color="#6f6f6f">Nature</font>

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AI powered multi feature fusion framework for retrieving images using color, texture and shape descriptors
Naturetech

AI powered multi feature fusion framework for retrieving images using color, texture and shape descriptors

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9NeGMwMXJfRW5jbm40b2cxNmdNYjhYZ0NHRDRIRE1xQ1VhT2hDVDlfSDBvTXk2WGtOOEh4Sm1IWER0MENjWFNQbjJ3UVNrbm5oSmx1eUxCMGMybzJNRTFB?oc=5" target="_blank">AI powered multi feature fusion framework for retrieving images using color, texture and shape descriptors</a>  <font color="#6f6f6f">Nature</font>

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A nomogram combining clinical features, O-RADS US, and radiomics based on ultrasound imaging for diagnosing ovarian cancer
Natureworld

A nomogram combining clinical features, O-RADS US, and radiomics based on ultrasound imaging for diagnosing ovarian cancer

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBUOTVFeUliek5ZOUhUb0Q1WHJzRUlHV3Awb2Q0TTJia3ZHQW1XcUtKc0k3dlhlZFdFbGVreVg5dFNPZU5tR3hsMmNGS05aYlZNTDJFX05SM1cwaklzN2Fj?oc=5" target="_blank">A nomogram combining clinical features, O-RADS US, and radiomics based on ultrasound imaging for diagnosing ovarian cancer</a>  <font color="#6f6f6f">Nature</font>

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Comparative analysis of feature-based ML and CNN for binucleated erythroblast quantification in myelodysplastic syndrome patients using imaging flow cytometry data
Naturegeneral

Comparative analysis of feature-based ML and CNN for binucleated erythroblast quantification in myelodysplastic syndrome patients using imaging flow cytometry data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE4zOHpIaU52LXhuVU5PMWV0OU1vY2lSbVVyNklyT3NiOUc2UWpLR2M4M19MdEtuUUNFVFFPVE9oRDl6NXBRM2U3dFVVeFl0dklLSFpzU3pWcWtUd2hqY1VR?oc=5" target="_blank">Comparative analysis of feature-based ML and CNN for binucleated erythroblast quantification in myelodysplastic syndrome patients using imaging flow cytometry data</a>  <font color="#6f6f6f">Nature</font>

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Enhancing the performance of SSVEP-based BCIs by combining task-related component analysis and deep neural network
Naturegeneral

Enhancing the performance of SSVEP-based BCIs by combining task-related component analysis and deep neural network

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBjV0tsaURLX2dKd0w1WG1WWWRWclBBbms1NUg3MXMxOElZZ1ZFb3B2a3VmTDJIUHN0M0Z1QWY1Z1prWm5DT2lpcTFBVFR6TjRFQXlTTWhaQjRVSWNoRVFr?oc=5" target="_blank">Enhancing the performance of SSVEP-based BCIs by combining task-related component analysis and deep neural network</a>  <font color="#6f6f6f">Nature</font>

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Visual feature-based multi-scale hybrid attention network for fine-grained Hawthorn varieties identification
Naturetech

Visual feature-based multi-scale hybrid attention network for fine-grained Hawthorn varieties identification

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9NWkJHNzJhSUVydE44MWQ1dFNqcHp4RXZEc2NieHY1bWtVOTY5SXpBN1pnYXY5N2R5MzR2WkZHd282ZWQ5elpDUHVCN2hNWXM5ZlBSck9sVmpSUG9mclJv?oc=5" target="_blank">Visual feature-based multi-scale hybrid attention network for fine-grained Hawthorn varieties identification</a>  <font color="#6f6f6f">Nature</font>

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Advanced computer-aided diagnosis for age-related macular degeneration: integrating segmentation and feature extraction for precise diagnosis
Naturetech

Advanced computer-aided diagnosis for age-related macular degeneration: integrating segmentation and feature extraction for precise diagnosis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9ubGJMR2RVMHlQQkIwMDVVOEdtNnVkMzN0aFI5bXlqckRmSTNxVjJWVmFsVmdNX29yZGtIVGs5dkVkOUhMQ21zaU9BVno2bF83ZmRhZm0tYmsyZUkxTkNn?oc=5" target="_blank">Advanced computer-aided diagnosis for age-related macular degeneration: integrating segmentation and feature extraction for precise diagnosis</a>  <font color="#6f6f6f">Nature</font>

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Combination of gray level features with deep transfer learning for copra classification using machine learning and neural networks
Naturegeneral

Combination of gray level features with deep transfer learning for copra classification using machine learning and neural networks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1oTXdpTUFLaDZHczhXU250TmRUeGg0UnJUdUhmTDl6SDUycTFaWkhUSnA2cnFYWkRuX0pqLTQ2ajBZVUxUX3BBLVlkUkgyNnlRX1pZTV9DdDZrYWRpS1Zn?oc=5" target="_blank">Combination of gray level features with deep transfer learning for copra classification using machine learning and neural networks</a>  <font color="#6f6f6f">Nature</font>

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Fusion feature-based hybrid methods for diagnosing oral squamous cell carcinoma in histopathological images
Frontiersgeneral

Fusion feature-based hybrid methods for diagnosing oral squamous cell carcinoma in histopathological images

<a href="https://news.google.com/rss/articles/CBMijgFBVV95cUxQNWFNeDRqV29WWllNdDRZMWxOeTRlZ1FmLUtIcFNfVXNPV285VkIxUGRBNUU5YXAyOHdEQzJwOTBGRDJySjR5d1d3OU15YzRseGxuazJZZmRCb2NZRjRkSEFWZ0hfTDIyZUx0YjFXQUVzZEZ1S3RxT2swc292NTJyUTZsMzJTOHo2VHU5MjZB?oc=5" target="_blank">Fusion feature-based hybrid methods for diagnosing oral squamous cell carcinoma in histopathological images</a>  <font color="#6f6f6f">Frontiers</font>

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Sub-regional radiomics combining multichannel 2-dimensional or 3-dimensional deep learning for predicting neoadjuvant chemo-immunotherapy response in esophageal squamous cell carcinoma: a multicenter study
Natureworld

Sub-regional radiomics combining multichannel 2-dimensional or 3-dimensional deep learning for predicting neoadjuvant chemo-immunotherapy response in esophageal squamous cell carcinoma: a multicenter study

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9YZXV2bUFOa3lvd2VOMFF2VjJOMVctblZkRWpVRFlhRU9NVmVqZHVENXFueXljQThnOUtLNWdBNGdQLW10cWFzZHV6WDlNSGhMQThzbXp4aU9vYXp4UzRR?oc=5" target="_blank">Sub-regional radiomics combining multichannel 2-dimensional or 3-dimensional deep learning for predicting neoadjuvant chemo-immunotherapy response in esophageal squamous cell carcinoma: a multicenter study</a>  <font color="#6f6f6f">Nature</font>

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Multiclass leukemia cell classification using hybrid deep learning and machine learning with CNN-based feature extraction
Naturegeneral

Multiclass leukemia cell classification using hybrid deep learning and machine learning with CNN-based feature extraction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBNdjI4QUxITFJzQWgzRjZoZlhTQ0RyR1NaNFpSNXhsMG1QQnRleG5uYkJhMXVqb0VpcnFqeHVzQXFyT1FiWGN2YlVtYUxBUkI2ay1TXzRxOHBPR0FGVG9J?oc=5" target="_blank">Multiclass leukemia cell classification using hybrid deep learning and machine learning with CNN-based feature extraction</a>  <font color="#6f6f6f">Nature</font>

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Enhancing early detection of Alzheimer’s disease through hybrid models based on feature fusion of multi-CNN and handcrafted features
Naturegeneral

Enhancing early detection of Alzheimer’s disease through hybrid models based on feature fusion of multi-CNN and handcrafted features

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1ELXo0cHVUQWYybUtoRVVwLWN6dFZTQkZMRGw5Umk1OEZBZlBWbzVHMFZqREoyaUw2Tk13TWh6cnkzTXhBbjRkYXR4d3plNEJ2U01iQmxHSVJwaHB2Nldr?oc=5" target="_blank">Enhancing early detection of Alzheimer’s disease through hybrid models based on feature fusion of multi-CNN and handcrafted features</a>  <font color="#6f6f6f">Nature</font>

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Delta feature and random forest–enhanced LSTM–attention forecasts with probabilistic postprocessing for rainfall forecasting
Naturetech

Delta feature and random forest–enhanced LSTM–attention forecasts with probabilistic postprocessing for rainfall forecasting

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5uVF9HV3lGZnZaS1cza0xzRDM4TzF0c016ejk3S2hySzljc0hnQTl4emJEYXlTNE5BeExLaGJKSnlIaXNyR1FqSGhCZ0ZsM1hkcHdRTW9EUmkwcURkX1Bv?oc=5" target="_blank">Delta feature and random forest–enhanced LSTM–attention forecasts with probabilistic postprocessing for rainfall forecasting</a>  <font color="#6f6f6f">Nature</font>

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Combining multi-parametric MRI radiomics features with tumor abnormal protein to construct a machine learning-based predictive model for prostate cancer | Scientific Reports
Naturegeneral

Combining multi-parametric MRI radiomics features with tumor abnormal protein to construct a machine learning-based predictive model for prostate cancer | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBtZFNrampxdW5hdzFfWmxXMmRfQlNEMkVNalhrc2RRMW9Kd1BNQ05lUFUyaFlaUnptWHhGcWRGRHhIbFBDamJId3c1Wm1kWWd0LUxEcVZoWXhIVXltVVEw?oc=5" target="_blank">Combining multi-parametric MRI radiomics features with tumor abnormal protein to construct a machine learning-based predictive model for prostate cancer | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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Combining transfer learning with retinal lesion features for accurate detection of diabetic retinopathy
Frontiersgeneral

Combining transfer learning with retinal lesion features for accurate detection of diabetic retinopathy

<a href="https://news.google.com/rss/articles/CBMijgFBVV95cUxNRXE1QldKM2toYVVHMExNYXJGSE1IVF9QWEFrQzlmVXBBV1d2LXZCSUJGVnh1Z21oYUtSSUdQWm1tOW40SEhveVFZSHc0WXNHaEtXemJJbDM0S2pOT3ZQZWVia1A1WXVBcmR3aXJVWjRneW9TcVZhenlkZjdCSXVaLVpSanlrdnBpa1ZuN0FB?oc=5" target="_blank">Combining transfer learning with retinal lesion features for accurate detection of diabetic retinopathy</a>  <font color="#6f6f6f">Frontiers</font>

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Combining Deep Learning With Physics Based Features in Explosion-Earthquake Discrimination
AGU Publicationsgeneral

Combining Deep Learning With Physics Based Features in Explosion-Earthquake Discrimination

<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTE1RTFR2Y21WdTA5cWNvc3l1NS1yaWVTYzBfeVhVYVhkajFhbzFtVlpSUTlqNlFJUEVmUHp3YkI1eFZFVUY3dDhiR1c0ZGRLZW44dXFqWEl0bzE2X01LNEdaZWQzX051Wjduc3R2d3p5RkVBalpsclYtNg?oc=5" target="_blank">Combining Deep Learning With Physics Based Features in Explosion-Earthquake Discrimination</a>  <font color="#6f6f6f">AGU Publications</font>

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Local-feature and global-dependency based tool wear prediction using deep learning
Naturegeneral

Local-feature and global-dependency based tool wear prediction using deep learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE44Yl9Qd09BeFdxeExjVzYxdTBSREpLcmk4QUJ3OUV5X3pxSzdjbDQ0dTQtai1ib0cwQmg2bko1NDU2cDJxV19Nb0l6ZE5rTXBZd05YZWpnamlzYnFJYlN3?oc=5" target="_blank">Local-feature and global-dependency based tool wear prediction using deep learning</a>  <font color="#6f6f6f">Nature</font>

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Enhanced diagnostics for generalized anxiety disorder: leveraging differential channel and functional connectivity features based on frontal EEG signals
Natureworld

Enhanced diagnostics for generalized anxiety disorder: leveraging differential channel and functional connectivity features based on frontal EEG signals

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFAtTzA3WS1VRzM3U3ZJWmpoeW82Vk05SkJ2a0V6RWt3cm1INVk0ZFprMmpaU0VRMHVkaVdMWkNUM3VXa1BETUpoTWNPQmNOc0hubU03NzRsa0lGVzJQdDhz?oc=5" target="_blank">Enhanced diagnostics for generalized anxiety disorder: leveraging differential channel and functional connectivity features based on frontal EEG signals</a>  <font color="#6f6f6f">Nature</font>

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