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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "A robust deep learning ap" (30 stories)

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A robust machine learning framework for detecting temporal drift in financial fraud prevention
Lead StoryNaturegeneral
Jun 18

A robust machine learning framework for detecting temporal drift in financial fraud prevention

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1OTUZENXFkaDhqdlBtLTRvVl8tc3diZlpaOGR6OUhTdmt2WHIySlFuZC1hT1JFOU1laHVjN3hrWEh0Tk1JSzNZMFhNdGY4Mm0zTFpmRHRMbHlUV1B1ZVN3?oc=5" target="_blank">A robust machine learning framework for detecting temporal drift in financial fraud prevention</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "A robust deep learning ap"

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29 stories displayed
EcoNet-Multi: optimising deep learning frameworks for robust waste detection in diverse global environments
Frontiersgeneral

EcoNet-Multi: optimising deep learning frameworks for robust waste detection in diverse global environments

<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxOaEdGRUtQb01vSDdmTmwxVWVjQzRDLWFrdmhhQ0hVZVZJWl9DcEJzcXFOb3gyQWU3dnRra0xEcDcxU2lZYm9seXdZYnpkNGkwdzVHOTR5cXVUSGZiLWtiVlg1WlRUaXFVenNHUFNGbGVCMm5SalJFdmFQUU5QRU5rODhxbXpDUS1EbjZZY2pwNExvNEVz?oc=5" target="_blank">EcoNet-Multi: optimising deep learning frameworks for robust waste detection in diverse global environments</a>  <font color="#6f6f6f">Frontiers</font>

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Hybrid fusion of E-nose and computer vision using optimized deep learning and machine learning for robust plant leaf recognition
Naturegeneral

Hybrid fusion of E-nose and computer vision using optimized deep learning and machine learning for robust plant leaf recognition

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBCVVI5ZWNGMGs1MDlzSklZcWx1MVlIS2tZTlNNN1NBeWVhSnNpUWFIa3E2LS1sQmZwLUlubEF3UzZNYjFjcWl0ZkFGV1ZRbEFoYkgzckV1RlBhNTUyTmZz?oc=5" target="_blank">Hybrid fusion of E-nose and computer vision using optimized deep learning and machine learning for robust plant leaf recognition</a>  <font color="#6f6f6f">Nature</font>

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A framework for earthquake seismic signal classification with the aid of hybrid feature selection schemes and robust machine learning models
Frontierstech

A framework for earthquake seismic signal classification with the aid of hybrid feature selection schemes and robust machine learning models

<a href="https://news.google.com/rss/articles/CBMilgFBVV95cUxNR2RWVnlhZ1BCQUZDRlJYT1JsRjc4SGNxbmVLQkk3VkxzOUtiUHc1bEp2NFNBajNpWUVac2VLQXREb0N6RzU3eDFRY0xmUHg5aEx2ZnV4a3o5ZGxuQXNTOGRJX1BoWG1iRE80cmZpYTdMNVN3ZVppVFBtQ3FfMmNoTnZPQ0ZtM0lnZEVickhGaGtvRGtLS0E?oc=5" target="_blank">A framework for earthquake seismic signal classification with the aid of hybrid feature selection schemes and robust machine learning models</a>  <font color="#6f6f6f">Frontiers</font>

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Construction of a multi-dimensional predictive model for college students’ academic performance based on deep learning
Naturegeneral

Construction of a multi-dimensional predictive model for college students’ academic performance based on deep learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1uX0JkX3lwc3VCdzBMOFRjeXB6SmliR0VJR242TUd5NXQ2SkxWYzhmUnVHa3dlR1ZodDhid2VRbVhlZ09pWGVzcG55YkUwQy1RdDhZZzdVNVp3OHdXS3pr?oc=5" target="_blank">Construction of a multi-dimensional predictive model for college students’ academic performance based on deep learning</a>  <font color="#6f6f6f">Nature</font>

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A hybrid deep feature-ensemble learning framework for robust tomato leaf disease classification using DenseNet121-EfficientNetB0 integration and SMOTE-optimize multi-classifier
Frontiersgeneral

A hybrid deep feature-ensemble learning framework for robust tomato leaf disease classification using DenseNet121-EfficientNetB0 integration and SMOTE-optimize multi-classifier

<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxNNkg3cDhILTY4WVVaUW1iWk1VUlpJWTV1X1UydXpSWGhXNG5qV0JXZ3psOHR1bmNZUWJ2LWswME5wdmZ6UXU5bGl6QWFSaGdoNlVWM2RWRVYyeUo2eUFGdFIxdFVnYUlXQUswcWdfR1d2aFdLSmZWbUVTbGIzMGFtcldkVkxhQ2Etdy1RbmFYMnZDN2w2?oc=5" target="_blank">A hybrid deep feature-ensemble learning framework for robust tomato leaf disease classification using DenseNet121-EfficientNetB0 integration and SMOTE-optimize multi-classifier</a>  <font color="#6f6f6f">Frontiers</font>

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A robust deep learning attack immune MRAM-based physical unclonable function
Natureworld

A robust deep learning attack immune MRAM-based physical unclonable function

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1sM0N1UERVeWp1NHNPQ0ZDRk1jZEpTSlNhTDB6djBfRHRsYXhaVGRid0dydkQ3bTM2QkRXQk1UbHVqcl84U1haeTd2TU1fbUFObklKaTB5OXJkdmNYRWZv?oc=5" target="_blank">A robust deep learning attack immune MRAM-based physical unclonable function</a>  <font color="#6f6f6f">Nature</font>

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ViTCNN: a robust hybrid CNN–Vision Transformer based deep learning framework for multi-disease diagnosis in women’s healthcare
Frontiersscience

ViTCNN: a robust hybrid CNN–Vision Transformer based deep learning framework for multi-disease diagnosis in women’s healthcare

<a href="https://news.google.com/rss/articles/CBMijgFBVV95cUxNQkliTEV2NWVaMG1kaUhjcUF6bXBBTWhwUGNxUTQzWXlyZi1ka0lkTEFMN3o0REtNa3VRV2d3d0RXUTJ3UG11SzlKbkItZ3ZIcVFKcHRobDhBbUd2M3AxSUp3ME03cmRCU0tHbFd6MzhNd1U1VHRxODJzUWR1REFVc3JQdXhJMHZrNURna2xn?oc=5" target="_blank">ViTCNN: a robust hybrid CNN–Vision Transformer based deep learning framework for multi-disease diagnosis in women’s healthcare</a>  <font color="#6f6f6f">Frontiers</font>

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A robust deep learning detector for sleep spindles and K-complexes: towards population norms
Naturegeneral

A robust deep learning detector for sleep spindles and K-complexes: towards population norms

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE93a1luT19rem53cUlJdGg0QXh2TGlWc0pLQXExSFZlamdiT3dFVVVjeGZhSTZaNkphNHR4dWxoTV83VngyN3lrOFhuV1R5bm9wNEtsR2dlZldNQkhOUmNJ?oc=5" target="_blank">A robust deep learning detector for sleep spindles and K-complexes: towards population norms</a>  <font color="#6f6f6f">Nature</font>

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FD-DEIM: efficient and robust detection of small, irregular foliar lesions in the field
Frontiersgeneral

FD-DEIM: efficient and robust detection of small, irregular foliar lesions in the field

<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxQdW5GSkgtZXkyZ1ZfZXE2VTV1c2pCdTNaOWF1QTdiekNzRmM3cEJIU05xZ3UzZndFZTVocW1LWDNtZnlwRlRfZWhTdDBQSGQ5YXQzc2FkTHFTRHJ3NXZZS2h0RmNyNmdHTnZsZGh4M0d3aGF2d1AxT1NVaXpLMm5JaS02REROTWRDenVOUk1pT0NlMG1J?oc=5" target="_blank">FD-DEIM: efficient and robust detection of small, irregular foliar lesions in the field</a>  <font color="#6f6f6f">Frontiers</font>

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A lightweight and generalizable deep learning framework for early detection of rice leaf diseases in complex field environments
Naturegeneral

A lightweight and generalizable deep learning framework for early detection of rice leaf diseases in complex field environments

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBhWnN0QVZ5dTktbTBjYzhBSGRoc09rLVBrWVhJdFlpd0x0QmNReENDQ1huY2dPTC03dXNYUXJCT1I5SXFyQllGUGRVSVUwTURiVU52TnF3amZ6Y3JZQXJB?oc=5" target="_blank">A lightweight and generalizable deep learning framework for early detection of rice leaf diseases in complex field environments</a>  <font color="#6f6f6f">Nature</font>

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Mobile-assisted deep learning framework for identification of insect pests and diseases of maize from field images
Frontierstech

Mobile-assisted deep learning framework for identification of insect pests and diseases of maize from field images

<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxNdkpZekV1VkFJOVB4QTNqVHJUajNiVnNiaVNfenR2SDdCQTVPUXQ4MjVkMUZUUEFuVXRpOXc5dlBIX19zc1JCY1NCYjNUX2xkS1lYZ09FZWc0Ul85TjFQTWFzbjRWZXlua25KbG9zbDVrZjNhbWhBaW95Y2YydTVwTjZtMlB1NEUtLTEzUXhKYWZEMlNX?oc=5" target="_blank">Mobile-assisted deep learning framework for identification of insect pests and diseases of maize from field images</a>  <font color="#6f6f6f">Frontiers</font>

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A robust deep learning approach for identification of RNA 5-methyluridine sites | Scientific Reports
Naturegeneral

A robust deep learning approach for identification of RNA 5-methyluridine sites | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFAyT0xSTEpLLVFUUzFWMzVfT1ROTzY5LTdFZzY5czZMc3dxX0VnOEo4X2ttVFFmd3lqSDl4YVhMeWM1OGllNHNaLU02dTVxRFZGOVBBU1BzbGxnYkpCSTZV?oc=5" target="_blank">A robust deep learning approach for identification of RNA 5-methyluridine sites | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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YOLO-LeafNet: a robust deep learning framework for multispecies plant disease detection with data augmentation
Naturegeneral

YOLO-LeafNet: a robust deep learning framework for multispecies plant disease detection with data augmentation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB5NlZ1Q1lSaGdnX1BKczFLX3NsRmptbjlhb2pHaC1fN29aRkV5Vzd0eTc1cFVSejBCYVhpMlFJa3RtTzdES1NxYlg3d0YyNWdWWnFBelphcTVMZWF2MUVN?oc=5" target="_blank">YOLO-LeafNet: a robust deep learning framework for multispecies plant disease detection with data augmentation</a>  <font color="#6f6f6f">Nature</font>

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Identification of robust deep neural network models of longitudinal clinical measurements | npj Digital Medicine
Naturegeneral

Identification of robust deep neural network models of longitudinal clinical measurements | npj Digital Medicine

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5MMkFwdzh1VmRDeWlEZDgwRGo2VHRJbnRNVE52ay0zZS1jNkM4Qy1PekxDYTFzbTJ2ZHhZemNaSk5xX2RXbzZZTUt0OVRUTUhDckZjZVl6OVc3WHBkZ3I0?oc=5" target="_blank">Identification of robust deep neural network models of longitudinal clinical measurements | npj Digital Medicine</a>  <font color="#6f6f6f">Nature</font>

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Development and evaluation of a multistage transfer learning framework for robust medical image analysis
Naturegeneral

Development and evaluation of a multistage transfer learning framework for robust medical image analysis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1HYzZCdUpKZXFsaXl4MUtmanF6ZnpGNXNDZlE0NXYxWUg0UGNfbUd1c3QzdFhlSVFCd3J0RmozSEQwaEgwd2ZsT3ZNZ2lJYUxRVmlJTnM3NnVFMkRsVGVj?oc=5" target="_blank">Development and evaluation of a multistage transfer learning framework for robust medical image analysis</a>  <font color="#6f6f6f">Nature</font>

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A robust deep learning approach for tomato plant leaf disease localization and classification
Naturegeneral

A robust deep learning approach for tomato plant leaf disease localization and classification

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE8tQndmOVVrOUphbElmSDBoVVNqVmlBWnZVQVNSUkhqT2VBMkVSeUFrY0lodUEwTmZMbUhWU25xTWFObFRuNzhRNkt4R2RNcXlSMTdvWnVzRWIyM3lWQUtn?oc=5" target="_blank">A robust deep learning approach for tomato plant leaf disease localization and classification</a>  <font color="#6f6f6f">Nature</font>

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Robust machine learning based Intrusion detection system using simple statistical techniques in feature selection
Naturetech

Robust machine learning based Intrusion detection system using simple statistical techniques in feature selection

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5yaHVzZ0xOUVhfM0xvaTA0T0VQenNsS3Z6bFkzdGVYNWZmNm52Q1VCU1hmRlVFWTVyM2pXczlPeFlLcTJpSTA5LWFVR0gyVFhEX1B5ck9qanhDQWtlbHZr?oc=5" target="_blank">Robust machine learning based Intrusion detection system using simple statistical techniques in feature selection</a>  <font color="#6f6f6f">Nature</font>

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Advancing skin cancer diagnosis with deep learning and attention mechanisms
Naturegeneral

Advancing skin cancer diagnosis with deep learning and attention mechanisms

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9rSTBaZzl1V2VFb0ZBSFVBaENaS2paT1VGNmoyMU1nTjEzSThwZlRQRWRhSWlQbHpCTzB1SkJXektKbUo3Z0hCcjRlZ0tMRW02YWN2SGMzV0JmNUQ3ZDMw?oc=5" target="_blank">Advancing skin cancer diagnosis with deep learning and attention mechanisms</a>  <font color="#6f6f6f">Nature</font>

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Imbalance-robust predictive maintenance using deep learning with virtual measurement modeling and explainable AI
Naturetech

Imbalance-robust predictive maintenance using deep learning with virtual measurement modeling and explainable AI

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9uUmw4dVE5WEFzRHJEcnlGUklOdHhyemRTTlRwaWJSQWVpS1F4UDY0ZnBHMzAwSmNKY1ljUjdDUEM0WTFrQTJfMTFQZGdjRWdkY3BHamhhdHd3TDI3Q3Bj?oc=5" target="_blank">Imbalance-robust predictive maintenance using deep learning with virtual measurement modeling and explainable AI</a>  <font color="#6f6f6f">Nature</font>

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Robustness Verification of Deep Reinforcement Learning Based Control Systems Using Reward Martingales
The Association for the Advancement of Artificial Intelligencegeneral

Robustness Verification of Deep Reinforcement Learning Based Control Systems Using Reward Martingales

<a href="https://news.google.com/rss/articles/CBMibEFVX3lxTE8tMDZNTlEyNUhSS2ktNHF4X0ZWcEh3RkUtcXMxWGJQWlROc0xpaklQMVU4ZFRFWXBtMTBfMnl5S1RGdzNwTFpkQ2hLRUtndGR1OW9peExpTXRkd0RnR25MWk5DaEtUc0tQNDgwbA?oc=5" target="_blank">Robustness Verification of Deep Reinforcement Learning Based Control Systems Using Reward Martingales</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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DLMUSE: Robust Brain Segmentation in Seconds Using Deep Learning
RSNA Journalstech

DLMUSE: Robust Brain Segmentation in Seconds Using Deep Learning

<a href="https://news.google.com/rss/articles/CBMiXkFVX3lxTFBOakt1MUdiZ1pfUGlQZmJjSldsdHJNNTg4ZUJRY0xvUTV0TWk1OW5vZ0phU1dHajA2MWxhQlQ0WTF0Yks3SF9JMXdkV3dBaXlkQVowU1o2VW5NbjJnRkE?oc=5" target="_blank">DLMUSE: Robust Brain Segmentation in Seconds Using Deep Learning</a>  <font color="#6f6f6f">RSNA Journals</font>

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Adversarial robustness in deep neural networks based on variable attributes of the stochastic ensemble model
Frontiersgeneral

Adversarial robustness in deep neural networks based on variable attributes of the stochastic ensemble model

<a href="https://news.google.com/rss/articles/CBMilgFBVV95cUxNd2J4T2NiQ1QySnEwSDMxYjRHaFpFVlREdW1VXzJBNTdoYkMzTldKR3pUdGtoZi1vR0JmVWxrS1Rmb0tOR3prNU56NnFjaVdCNVQ4VFZ1UkxNN0RoRFJNZk1EU0w1MTMxNVBSYzlUUXZFRDBja241VngydUFVbFVxeUNfZm5oVFp0cnJYVjEtdTJBeHBwdUE?oc=5" target="_blank">Adversarial robustness in deep neural networks based on variable attributes of the stochastic ensemble model</a>  <font color="#6f6f6f">Frontiers</font>

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Evidential deep learning for interatomic potentials
Naturegeneral

Evidential deep learning for interatomic potentials

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFA3TllfZTlsQ3lkVFA4NHdBMW4tSEZiekxsZU9Pcl8xekl5a3pZYjQwNkFhd2J3clVkSUxQYUhGcnNxcTQ0cXNuRFZxdlJvNkdST04xU1I3U0NZclNRaXNB?oc=5" target="_blank">Evidential deep learning for interatomic potentials</a>  <font color="#6f6f6f">Nature</font>

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Multi-agent coordination and uncertainty adaptation in deep learning–assisted hierarchical optimization for renewable-dominated distribution networks
Naturetech

Multi-agent coordination and uncertainty adaptation in deep learning–assisted hierarchical optimization for renewable-dominated distribution networks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE10YXNXaUZ5bm41UXBmcV95bjJDNWx5Z0o3NV8wMHZlZy1ETmhmM1FvZVZxeWh5d29pUFBWSEZrYVlxc0JUX3RGTktnR0RvVi1ZVGNWeU1kVXdKLXBXaG93?oc=5" target="_blank">Multi-agent coordination and uncertainty adaptation in deep learning–assisted hierarchical optimization for renewable-dominated distribution networks</a>  <font color="#6f6f6f">Nature</font>

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Design and implementation of a deep learning framework for automated crop classification and health diagnosis in precision agriculture | Scientific Reports
Naturescience

Design and implementation of a deep learning framework for automated crop classification and health diagnosis in precision agriculture | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1SX0JLcHl1ZXNVS1JyT19WcXBlWTdiRWVpTmx2Y1J3ZzFkUjJVbU85d1FuR3FZLVlYUUktZTc2UHVfdHZ2LTA3OUlEOHQ1SHFLMmtYNnoxYy1ZRXRaSElr?oc=5" target="_blank">Design and implementation of a deep learning framework for automated crop classification and health diagnosis in precision agriculture | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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Deep learning-based double-sided fudge detection system with integrated physical components
Naturegeneral

Deep learning-based double-sided fudge detection system with integrated physical components

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBTcUphT3I1Y25CeXJ3WTRoR2RoSVZaZ0xwRUZ1V2xoVkdXbm9waHA0YkZxRElfQTUta2Z1TTJ3THd2TFpoMkNvX0JBZm02RG9aZkUySHVJVy1ZRXc5UEtB?oc=5" target="_blank">Deep learning-based double-sided fudge detection system with integrated physical components</a>  <font color="#6f6f6f">Nature</font>

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Artificial intelligence-driven drug discovery: a deep learning paradigm shift in pharmaceutical research and development
Frontiersgeneral

Artificial intelligence-driven drug discovery: a deep learning paradigm shift in pharmaceutical research and development

<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxPZXZWZFNPWHAwWU9BaGNDTkVtYVRwZHlscG9iU2FsZk5CUlpCb2N6Mm10QTFTUUJIUEtNNDQwVTBxUHczdERvNjl2S2lWaTUzZGJlZUhYZEFOa05WQ2Y0Y0x2Rmg1V0FlTklNUnB5Ym93Tmk0YkRiUFVlUndpVWNZdm1veS1vam03T2dIOGJSTFpYdkg2?oc=5" target="_blank">Artificial intelligence-driven drug discovery: a deep learning paradigm shift in pharmaceutical research and development</a>  <font color="#6f6f6f">Frontiers</font>

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Evidential deep learning-based drug-target interaction prediction
Naturegeneral

Evidential deep learning-based drug-target interaction prediction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBwak1QZmx6YTBaMGpMeS1xYWJuYkNPUUFTd1BOb1FHN3hNaWtJUlJqOUtBVmd5YThtME8xWHZNNVZzTkRYRjc5Z2g2b0h2ZzVIREkwMndqc0xYNDY1MFFr?oc=5" target="_blank">Evidential deep learning-based drug-target interaction prediction</a>  <font color="#6f6f6f">Nature</font>

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A multi-modal deep learning framework for enhanced breast cancer diagnosis using mammograms and clinical data
Naturegeneral

A multi-modal deep learning framework for enhanced breast cancer diagnosis using mammograms and clinical data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBobDNaZVgxeldzYkxacjR2R2FkSFB4ak9IczJaR1BoUnFEQlB6b3lSWGZsWDYxR28yT3VTemx5MkhWeUNtRjA4Q1pfcmFtMFk5ZlByODBRU0kzcFJ2U0Y0?oc=5" target="_blank">A multi-modal deep learning framework for enhanced breast cancer diagnosis using mammograms and clinical data</a>  <font color="#6f6f6f">Nature</font>

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