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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Domain features-informed" (30 stories)

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Domain features-informed two-step machine learning: accelerating the search for superlubric heterostructures
Lead StoryNaturetech
Mar 3

Domain features-informed two-step machine learning: accelerating the search for superlubric heterostructures

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE4yaEZzcnM0WnlsbWcyRC1YNDVSRml4R3k4enVQSHFFaEh6amtidmpwdnlMQnJOcnJOOXlQY25FZDg3X2NzQVIzcXROMGh6MTNRVEN0SWdwd0M2VVZuVWN3?oc=5" target="_blank">Domain features-informed two-step machine learning: accelerating the search for superlubric heterostructures</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Domain features-informed"

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29 stories displayed
Machine-learning-based prediction of pipe-sticking events in petroleum drilling operations using domain-informed features and class-balanced ensembles
Frontierstech

Machine-learning-based prediction of pipe-sticking events in petroleum drilling operations using domain-informed features and class-balanced ensembles

<a href="https://news.google.com/rss/articles/CBMimwFBVV95cUxNU1NfNFExU0ZBdFluV0YtVXB2VTJHMGN3dk9mdFlCRkpVMkw1aEdhTk1USXk1MXhVV3RoUm1uQ3FZN1phQUYxZHNobGRYTW50RWZTSkszcFFpRjdhWE04YVI0UUlwWVZxOXNPYUttX2U5MG5mdTc1Z1l1Ylo3MFp3U1VtejBTYll4eUZGSEo5bnc2Z1RsaDh3YWRvWQ?oc=5" target="_blank">Machine-learning-based prediction of pipe-sticking events in petroleum drilling operations using domain-informed features and class-balanced ensembles</a>  <font color="#6f6f6f">Frontiers</font>

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Quantum-informed machine learning for predicting spatiotemporal chaos with practical quantum advantage
Science | AAASgeneral

Quantum-informed machine learning for predicting spatiotemporal chaos with practical quantum advantage

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1UNldxdFhLRmYtN1hmb1kwRFlWSm4xUUVRTGFXRDNFaWNFZW5nRlBhdXlmZ3dvMndrYmwwWUs2Slc4VjVHV2Q0YUphTTBab1RtaVNuaVJNQ1VLb0VCc19V?oc=5" target="_blank">Quantum-informed machine learning for predicting spatiotemporal chaos with practical quantum advantage</a>  <font color="#6f6f6f">Science | AAAS</font>

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Concrete strength prediction using domain-driven feature engineering and explainable LightGBM
Naturetech

Concrete strength prediction using domain-driven feature engineering and explainable LightGBM

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB3X2ZKZVNyRjhQMndQZnJwMWlTV0diOThONEZTMTBpZG1LZWczaUxqcEFSV3RCeVNNYnREd0lxbnFiRUViWlVUcGloM090ZW1NN1A0THAwV3ZaZk9fTmJN?oc=5" target="_blank">Concrete strength prediction using domain-driven feature engineering and explainable LightGBM</a>  <font color="#6f6f6f">Nature</font>

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The Gür fibromyalgia model: a clinically operational framework for phenotype-informed, sequence-sensitive multimodal care
Frontiersgeneral

The Gür fibromyalgia model: a clinically operational framework for phenotype-informed, sequence-sensitive multimodal care

<a href="https://news.google.com/rss/articles/CBMilgFBVV95cUxQMzBfcE5pV04xb005YlNZNUNGN2ZheXQ5c1R6anBMMENWMGxsWUowVmROQ3hQd09EM1FfQlJIbzBTaG4yWFdGZHI4T3d0RmlTZk5LbDB1bi05T3F3LWc0Z2FONmhqQmpMM3BpYW55dl9IbmlRZFpGS3JCRGtMTnQwNHVfVWpyNk5ac1p4M2FTSGozVURmclE?oc=5" target="_blank">The Gür fibromyalgia model: a clinically operational framework for phenotype-informed, sequence-sensitive multimodal care</a>  <font color="#6f6f6f">Frontiers</font>

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Knowledge-informed graph attention networks enable defect-free alloy design for laser additive manufacturing
Naturegeneral

Knowledge-informed graph attention networks enable defect-free alloy design for laser additive manufacturing

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9pUktyWWQ2eXp2SmhkUWk5TEYzWnJFSVJCNUdxVTF4UjJEcmhWeHZ1LXdVdXRweVhFM2tmb0JUMFVTWVFOdzBVelAxLWJYamhpUC01eUNvUVZmRlFVNEtR?oc=5" target="_blank">Knowledge-informed graph attention networks enable defect-free alloy design for laser additive manufacturing</a>  <font color="#6f6f6f">Nature</font>

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Domain informed vision language model for sustainable freight with drayage truck powertrain and cargo classification
Naturetech

Domain informed vision language model for sustainable freight with drayage truck powertrain and cargo classification

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5oQlYwR0RNUjRvcHFreUtxZGE0OTV0MldxVU1VaHNQVnBFYnlmclhoV29WVE44aGdDSE9wSWpGVHQtdTJPV0lMZkc0Yzd2cTI5a0ZVWGVNcXlCd0ZHbWIw?oc=5" target="_blank">Domain informed vision language model for sustainable freight with drayage truck powertrain and cargo classification</a>  <font color="#6f6f6f">Nature</font>

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Explainable AI in education: integrating educational domain knowledge into the deep learning model for improved student performance prediction | Scientific Reports
Naturetech

Explainable AI in education: integrating educational domain knowledge into the deep learning model for improved student performance prediction | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1XSkJGQVdmOUEta0RNQ0lyUXpVV2tnUTRycEtpUjBsRUdsc1RkaWtWRXN5MDNOaG94YktCOXJmQkVhT01YZHpRSndqNnlQZUJtclNYWWZkWFNaTF9FcVMw?oc=5" target="_blank">Explainable AI in education: integrating educational domain knowledge into the deep learning model for improved student performance prediction | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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TransNet: a transport-informed graph neural network for forecasting PM
Naturegeneral

TransNet: a transport-informed graph neural network for forecasting PM

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB2Z1lMMzRad01hcThhMjRFazF3SHd2d0RINE9Yb09TQWJISndJdXdLZ3B1V2JoLU8yODcxTG9FTmJkYlIxTS1DRnBNX3FXUDBUZ1VqMGVFbGV3T3hrTElv?oc=5" target="_blank">TransNet: a transport-informed graph neural network for forecasting PM</a>  <font color="#6f6f6f">Nature</font>

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Integrating machine learning and physics-based modeling for predictive design of gemcitabine-loaded nanocomposites
Naturegeneral

Integrating machine learning and physics-based modeling for predictive design of gemcitabine-loaded nanocomposites

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBHYVFwazVQRm1aejFpREd6dDl1RFU4UE5FQ0EzYzRwVjEzQjM2RE9GdkNoakRrSjQxYU1lMzdvRGZDVl9ia1NodnZVUVBKRkVfemJEQVZIc3ZhX3RTRVM0?oc=5" target="_blank">Integrating machine learning and physics-based modeling for predictive design of gemcitabine-loaded nanocomposites</a>  <font color="#6f6f6f">Nature</font>

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An experimentally-informed polymer model reveals high resolution organization of genomic loci
Naturegeneral

An experimentally-informed polymer model reveals high resolution organization of genomic loci

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE4taTc4MElmMnVoYkFlSVdFNEFsaTJ3SFVoeXJFMkVVSk1iQXY4ODBCa0NHRjlYa3I3VzQyZllzVGhZZktjcXVEWHVTWk9QQnEtV2JsTEZ4NWt2a0ZiR0VV?oc=5" target="_blank">An experimentally-informed polymer model reveals high resolution organization of genomic loci</a>  <font color="#6f6f6f">Nature</font>

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Physics-informed deep learning enables fast ultrahigh-resolution nuclear magnetic resonance spectroscopy
Naturegeneral

Physics-informed deep learning enables fast ultrahigh-resolution nuclear magnetic resonance spectroscopy

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE55TnNjaTVMQjZYRGgydGlZWU5XdUtLU1ZzS0RhUGVqS2t4eEZiWVNuZTBkR0dxa0RHRm82NjcyNEVOSzk2TU5sWDFxWWs3ZGlzOHozNEZ6Q3Y3d0ljU25Z?oc=5" target="_blank">Physics-informed deep learning enables fast ultrahigh-resolution nuclear magnetic resonance spectroscopy</a>  <font color="#6f6f6f">Nature</font>

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Attention mechanism-based CNN-LSTM hybrid deep learning model for industrial pipeline leak detection
Naturegeneral

Attention mechanism-based CNN-LSTM hybrid deep learning model for industrial pipeline leak detection

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBVcFB5Rkt3V0xTMGVxUFVFNUZaTG1YVUl2N1EtcWNzbG1fanZSTFVwTXUxdmRqdHRsRUstM3VTYXh4SE9GYXZHT0hMVTFtdW5iblk4WUh4NEJyVkVjNEpR?oc=5" target="_blank">Attention mechanism-based CNN-LSTM hybrid deep learning model for industrial pipeline leak detection</a>  <font color="#6f6f6f">Nature</font>

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Knowledge integration for physics-informed symbolic regression using pre-trained large language models
Naturetech

Knowledge integration for physics-informed symbolic regression using pre-trained large language models

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5IS3pmdTczZlJjcHJySWhDNGFFZTlLWDJIV196RDdSRER0OW5Pd3lCSXZJMTAyM0R4S3hiakVIX0VLWjVfUnpMS0dGRC05TnNIaHdGWDlkOGRNcmZFTDRj?oc=5" target="_blank">Knowledge integration for physics-informed symbolic regression using pre-trained large language models</a>  <font color="#6f6f6f">Nature</font>

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A cycle-aware and physics-informed framework for battery remaining useful life prediction
Naturetech

A cycle-aware and physics-informed framework for battery remaining useful life prediction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBhZllsaXM5MXBNWjBkSDRlVDNseFo3X3NQQUx5dlZPLTZuWTluVExWMFlDY2VoZEtoV01MZnpEejZwMjJJbVAxLTdqNTBXaWJjNE1EaHpjNmJtTmFHdWdJ?oc=5" target="_blank">A cycle-aware and physics-informed framework for battery remaining useful life prediction</a>  <font color="#6f6f6f">Nature</font>

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Deep learning-based battery health prediction for enhancing electric vehicle performance | Scientific Reports
Naturescience

Deep learning-based battery health prediction for enhancing electric vehicle performance | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB3MmNsY3kxTHoydWNTbmdmcHBTTzRDVzZJaHFYMTZndG1RS2ZnWFBJT0xfOUJLaE1OTDI2RVdINUVHamh5ZFZ0SzZmNEk4eWZxb3VTZDV2cWN3dWhHSVdJ?oc=5" target="_blank">Deep learning-based battery health prediction for enhancing electric vehicle performance | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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Physics-informed neural network with weighted loss and hard constraints for hyperbolic conservation laws
Naturetech

Physics-informed neural network with weighted loss and hard constraints for hyperbolic conservation laws

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBGbldkZnVLTmlDWGlwdzktNXhrajAzNlhTd0QySE5HZ290aW1PbFdYQnFvV2N0SWR1TFhLQWZYUVdBRk9WSDdVcGNtUkp6UjRmblhmdk92M3gtNGtrWTVZ?oc=5" target="_blank">Physics-informed neural network with weighted loss and hard constraints for hyperbolic conservation laws</a>  <font color="#6f6f6f">Nature</font>

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Prediction of remaining useful life for electronic equipment based on online PINN
Naturetech

Prediction of remaining useful life for electronic equipment based on online PINN

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE42Z2FDOG5Ra3ItUE5vZzhGZ0JkY25NZ2xzenJJQWdRSHVxSFoyQUloRmh2ajJaQ1UwR3lrOGpjZ2xqTmlmVF9EVThHOG5wN3lRanlXUDEwbkFKSktmcUhF?oc=5" target="_blank">Prediction of remaining useful life for electronic equipment based on online PINN</a>  <font color="#6f6f6f">Nature</font>

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Enhanced hybrid deep neural network for EEG-based schizophrenia diagnosis using functional and temporal features
Natureworld

Enhanced hybrid deep neural network for EEG-based schizophrenia diagnosis using functional and temporal features

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB1SE1fdjhKQ01qdWRsWEVQY0tzVFU5SzZuaVBxS0lJNHU0akJXdUpZbTd4dE93RXBEdm1BNVY4bzNRZ3hXcFN6M0lhX09QS1FBUkhaaUVrUEZTc3dobTh3?oc=5" target="_blank">Enhanced hybrid deep neural network for EEG-based schizophrenia diagnosis using functional and temporal features</a>  <font color="#6f6f6f">Nature</font>

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Residual strength prediction of corroded pipelines based on physics-informed machine learning and domain generalization
Naturetech

Residual strength prediction of corroded pipelines based on physics-informed machine learning and domain generalization

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFA3U3RFd0hiUVNBTW1xODFnc012Y1FjVlN0aE4ydnNNNUJjYXJhc1VjcHB4Q05zVm9iOEc5M3BIUnJkU0hjOFF2S0txN3lTQ2JFamFmM3BsUFVyQUp5VElF?oc=5" target="_blank">Residual strength prediction of corroded pipelines based on physics-informed machine learning and domain generalization</a>  <font color="#6f6f6f">Nature</font>

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Tridiagonal.ai (T.AI) Partners with PETRONAS Carigali’s TriCipta AI with IBM to Advance Engineering Domain-Driven AI Solutions for Upstream Operations
Via Ritzautech

Tridiagonal.ai (T.AI) Partners with PETRONAS Carigali’s TriCipta AI with IBM to Advance Engineering Domain-Driven AI Solutions for Upstream Operations

<a href="https://news.google.com/rss/articles/CBMiwAJBVV95cUxPMExjeFRVblFYZ3hxUUhIRXE3WjF2R2hxaENBX2R0TmMxREt2NHZ1ZHA1OFVNcFFNWDg3ZTI0NjkwanBTTGtEYW1Dd0k3UHBDdHQ3VC1HZ3V4ajRNQXpLc0lDaVBlZEM4ZXBEQjdhdFE5TERtV0NKXzhqOHFJNGVBbVZBdlRKUHh6VUtJektfaENFT01ybGdvc1pvUWN4UEpLMGFSUzNRQzBKTFltcVhmOVA5WlI4Yk9FNzdEWTVITlYydTJVTnpkV1RkN2FEWE0zdnVlVGdaZ1N4UmNIQTJfY01ELXpxYnE5cnZZUGppbTZlR0dIdlZabWhfYXhLcGlnT3hJVEVCVEZvamczTnBrNlNqa2NUU1dVdHRtTzVDYVRWRDhLNUJUY01EbUtjVnBoRUlwN1BpSS1NRk9Lc01qcg?oc=5" target="_blank">Tridiagonal.ai (T.AI) Partners with PETRONAS Carigali’s TriCipta AI with IBM to Advance Engineering Domain-Driven AI Solutions for Upstream Operations</a>  <font color="#6f6f6f">Via Ritzau</font>

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Trauma-informed architecture with children in mind
ArchitectureAugeneral

Trauma-informed architecture with children in mind

<a href="https://news.google.com/rss/articles/CBMikAFBVV95cUxQUUZMRWctVEVFMTM1b0x4Yzlqc2U4RjVrWXVtN3VwUEJXbkU3VThiZ1JQWk4yWUt1d2VlenJucm9LR0plVXlyb05nT0x3bWVvanNaVjBlbVd4TnptQUM0NFZOa2h6bVJnZjljZEUtM0tSaV9RaUhxem9NNlEwVmx0azRwTTVlUllGeFNESkdRODU?oc=5" target="_blank">Trauma-informed architecture with children in mind</a>  <font color="#6f6f6f">ArchitectureAu</font>

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Transforming label-efficient decoding of healthcare wearables with self-supervised learning and “embedded” medical domain expertise
Naturetech

Transforming label-efficient decoding of healthcare wearables with self-supervised learning and “embedded” medical domain expertise

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1lLUlWQ3lBR0pKT0N0QjRINGZNWWEyQTh2eXZ2Wllyc1hDMXpoaXNqV3pYRFZrRzNtNjdrdDJwTXB2dXc3V29UYUxJVUFmcElROGFzeWNHVEdSb3V1N1lr?oc=5" target="_blank">Transforming label-efficient decoding of healthcare wearables with self-supervised learning and “embedded” medical domain expertise</a>  <font color="#6f6f6f">Nature</font>

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Self-supervised model-informed deep learning for low-SNR SS-OCT domain transformation
Naturetech

Self-supervised model-informed deep learning for low-SNR SS-OCT domain transformation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBXN205RWNQNGE5bUVUSUJuaUZSV1NHRFFCMk5tVGpVeXh4Um1sQmZRTEx2QmNHTFMtMkVMZ0dpSnAtX21CcFZ5MzUzZFBLbUJ4bURCNm5mT3EzenlJc1JJ?oc=5" target="_blank">Self-supervised model-informed deep learning for low-SNR SS-OCT domain transformation</a>  <font color="#6f6f6f">Nature</font>

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Enhancing convergence speed with feature enforcing physics-informed neural networks using boundary conditions as prior knowledge
Natureworld

Enhancing convergence speed with feature enforcing physics-informed neural networks using boundary conditions as prior knowledge

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5oalhtUHNPOGxuTG9yT3RYQWpIZUcxQjYwaDBCbFRrbjBEbW1vSTVXYThQalFrYzU5ZFFpallZRFZsdlgtVExITkU3V2hsYnBCMGVBclZjT0hYaEMzZXMw?oc=5" target="_blank">Enhancing convergence speed with feature enforcing physics-informed neural networks using boundary conditions as prior knowledge</a>  <font color="#6f6f6f">Nature</font>

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Analytical-Chemistry-Informed Transformer for Infrared Spectra Modeling
The Association for the Advancement of Artificial Intelligencegeneral

Analytical-Chemistry-Informed Transformer for Infrared Spectra Modeling

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE5xQ09wMDF1b1JoalpNMERxenh4U0taQm1KUEladERsdmZkVlp0OGlXQnhoU201X2FXUi1ISkx1bE93Z1djUUNtaTlkeTNlT1NGQWtuRmxMM0Eya2kydjV6MjJxcF8?oc=5" target="_blank">Analytical-Chemistry-Informed Transformer for Infrared Spectra Modeling</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Accurate and efficient integrative reference-informed spatial domain detection for spatial transcriptomics
Naturetech

Accurate and efficient integrative reference-informed spatial domain detection for spatial transcriptomics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBuVXJBMmk3ZndnTWhWNUVrbk05NHFaSUhwaGEyUE5adk9rLXR5QmRLU2RJeURhbnJNR1Y3Z0RTc3VQd01tUjFiNXB2Y3J1R2tKZFczcDlsZEVUdmtsVkRj?oc=5" target="_blank">Accurate and efficient integrative reference-informed spatial domain detection for spatial transcriptomics</a>  <font color="#6f6f6f">Nature</font>

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A computational framework for physics-informed symbolic regression with straightforward integration of domain knowledge
Naturetech

A computational framework for physics-informed symbolic regression with straightforward integration of domain knowledge

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1rRkFhNFd0R0NxY0F6YTVvcHNVRmk2RVFHTm45Q0hjNERfN3RGRXJWTjBnRXJneWRTYkd2NkNPOVFxQnhGemZudEwtYkZjbUxZNjRSaEQzSk9COFBvX0x3?oc=5" target="_blank">A computational framework for physics-informed symbolic regression with straightforward integration of domain knowledge</a>  <font color="#6f6f6f">Nature</font>

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Nonlinear time domain and multi-scale frequency domain feature fusion for time series forecasting
Naturetech

Nonlinear time domain and multi-scale frequency domain feature fusion for time series forecasting

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBadWVlN1ZraDVHclFOMWpwX0o0Q09pNHBjaGNya0s2TXc3eXcxaE5OZXNEZ1lnZWJ2X3RiOE5oS0syOFprU0FVMG1VUjFqYUZ4SVZYQUszeGZhTjhURjBv?oc=5" target="_blank">Nonlinear time domain and multi-scale frequency domain feature fusion for time series forecasting</a>  <font color="#6f6f6f">Nature</font>

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Dual-Domain deep prior guided sparse-view CT reconstruction with multi-scale fusion attention
Naturetech

Dual-Domain deep prior guided sparse-view CT reconstruction with multi-scale fusion attention

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBFV0tDZ3FnTmJLdC1MdE1aaWtsWG5Hb1FKMkk1ZGpWYzRGal81UUhvY1I0ZVFfZXdkN3FVeHdOV0pnem5hSjREeDhzeTVFLXB2dkdRaFcxZVdUUmYzUE9Z?oc=5" target="_blank">Dual-Domain deep prior guided sparse-view CT reconstruction with multi-scale fusion attention</a>  <font color="#6f6f6f">Nature</font>

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"Domain features-informed" — Live Google News Trends & Headlines