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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Deep learning based direc" (30 stories)

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Current status and future directions of multimodal deep learning normal tissue complication probability modelling in head and neck cancer radiotherapy
Lead StoryFrontiersgeneral
Jul 30

Current status and future directions of multimodal deep learning normal tissue complication probability modelling in head and neck cancer radiotherapy

<a href="https://news.google.com/rss/articles/CBMijgFBVV95cUxNRS0zT29qTk5yb3BiNVZEMmVfZTZjYzJnQmJDeTllYkpVX3M3VkZXLTVhcmNPM0JnM2hTVUhObkZUYlRlQ0VZeWRnVTNpbVU0MzJNSE1oNVVERkZ2TW1HNGZaZ1lGcW90bjRXa3U1MUl1Q0hIM2VZd0pYNGU5ckpqWFNyTlRJajlVWU14VnFn?oc=5" target="_blank">Current status and future directions of multimodal deep learning normal tissue complication probability modelling in head and neck cancer radiotherapy</a>  <font color="#6f6f6f">Frontiers</font>

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Search Results for "Deep learning based direc"

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29 stories displayed
Multimodal transformer-based watermarking for deepfake detection and digital media authentication: current progress, challenges, and future directions
Frontiersgeneral

Multimodal transformer-based watermarking for deepfake detection and digital media authentication: current progress, challenges, and future directions

<a href="https://news.google.com/rss/articles/CBMiogFBVV95cUxNY21NOFVnVUJpaUF2SVBiY0xUeEcwY3hZUGtkR2ROaTk2TlI5anJuWDN0NEl2dlQwUlpGYTZTV2NibDR1UWxYWGppbk1DdHI5dmRyNW9rV1VlZlpaSFh2X1NkQ1VDSnZaX3BYS0FvWHNaaWJ2QXJlajVzbU9meC0tSjZfdE1qeGU1QW96WFJqVVlzLWhSYmwyenBDdDZKd2hpMkE?oc=5" target="_blank">Multimodal transformer-based watermarking for deepfake detection and digital media authentication: current progress, challenges, and future directions</a>  <font color="#6f6f6f">Frontiers</font>

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Machine learning-based Direct Normal Irradiance (DNI) forecasting using satellite data for Concentrated Solar Power (CSP) plants with Thermal Energy Storage (TES)
Naturegeneral

Machine learning-based Direct Normal Irradiance (DNI) forecasting using satellite data for Concentrated Solar Power (CSP) plants with Thermal Energy Storage (TES)

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1KeHk3dFdPOHd6ejVWVlVpdnBHTWlRS0VUS29TUTZLZUlNS1N4b3pBWmVfN0tqbXl0MVhrenlZRFRacEVKY24xN3RnXzZLbVRHcmlhVXRxd3U0bFEtMzUw?oc=5" target="_blank">Machine learning-based Direct Normal Irradiance (DNI) forecasting using satellite data for Concentrated Solar Power (CSP) plants with Thermal Energy Storage (TES)</a>  <font color="#6f6f6f">Nature</font>

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Security Solutions for the Internet of Things Using Machine Learning and Deep Learning: Current Trends and Future Directions - Sharma - 2026 - WIREs Data Mining and Knowledge Discovery
Wiley Interdisciplinary Reviewsgeneral

Security Solutions for the Internet of Things Using Machine Learning and Deep Learning: Current Trends and Future Directions - Sharma - 2026 - WIREs Data Mining and Knowledge Discovery

<a href="https://news.google.com/rss/articles/CBMickFVX3lxTE9uMG1iREc3eXZnZ0NBWkdYV1F2OFVLSjJiRGJhSXRrRThZbnNrNXB5bVdEd2hxcnlhTHU1ZTg1QloteW8tSFkxbXNhekZMUnp0WU5yVDdNenZ4SkxpU1VOaWNIZVMwSjAyZDlpVWN4dDMxdw?oc=5" target="_blank">Security Solutions for the Internet of Things Using Machine Learning and Deep Learning: Current Trends and Future Directions - Sharma - 2026 - WIREs Data Mining and Knowledge Discovery</a>  <font color="#6f6f6f">Wiley Interdisciplinary Reviews</font>

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Mind the gap: challenges and future directions for content-based image retrieval in clinical radiology
Frontiersgeneral

Mind the gap: challenges and future directions for content-based image retrieval in clinical radiology

<a href="https://news.google.com/rss/articles/CBMikAFBVV95cUxNLXhoOTVWUGFmbnVyNnBmX3p3Y0hmNzhtdG1UTWJ2SUZOUGRVbXc1QXExcUZnb0pJMTBMcGNHSWxwZmlWTGs4VzlQenQ2em5GTkhhWlBBb09fS29UUU5UVjZhaHpyUHBhVHRMRUdOTC1WaFVzOWdTMDVwM0hBYVJqN0JieUowZzJscHM4OFhuaEU?oc=5" target="_blank">Mind the gap: challenges and future directions for content-based image retrieval in clinical radiology</a>  <font color="#6f6f6f">Frontiers</font>

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Artificial intelligence in cardiology — current applications, challenges, and future directions
Via Medica Journalsgeneral

Artificial intelligence in cardiology — current applications, challenges, and future directions

<a href="https://news.google.com/rss/articles/CBMif0FVX3lxTE9GYXBqeHpvSC1uLW5FbXFNSXNFOXFFWWFvUUo3MVEwTk5qNjllbFNmTWwtUXVsX3FUR2FtOGdPYUwwMnRyQk9ERXhXMUJQeG9WaVFXRU93dmlpMktVLW5ucWlTMjBiUV9QQ3NPQzc5Tmlqa0U0TmhFRWctNy0xN0k?oc=5" target="_blank">Artificial intelligence in cardiology — current applications, challenges, and future directions</a>  <font color="#6f6f6f">Via Medica Journals</font>

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Deep learning based direct reconstruction with attenuation and scatter corrections for SPECT
Journal of Nuclear Medicinegeneral

Deep learning based direct reconstruction with attenuation and scatter corrections for SPECT

<a href="https://news.google.com/rss/articles/CBMiZ0FVX3lxTFBuMndjUEh4UDUySlFHWEs0Y0hocmxhTGtWREhNNmIyVGczRTNfdzRNeVdKUmtFb2ZhWE9ITTM1TTJhUzZFdTNBRE4tX2ZoUG5qa045UXZzeUdwTlplZkMzYWR0d2lRVjA?oc=5" target="_blank">Deep learning based direct reconstruction with attenuation and scatter corrections for SPECT</a>  <font color="#6f6f6f">Journal of Nuclear Medicine</font>

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Deep Learning–based Brain Age Prediction Using MRI to Identify Fetuses with Cerebral Ventriculomegaly
RSNA Journalstech

Deep Learning–based Brain Age Prediction Using MRI to Identify Fetuses with Cerebral Ventriculomegaly

<a href="https://news.google.com/rss/articles/CBMiWEFVX3lxTFB0NlpXOFFhZUJnWVQ4ZGVuUUp0cndYWExtY0xnT1hHc000ZHV0SjU5TXJDWXNOQmZ2QzhRUlU2akdibFNZLUYwV1VYWmkzemlNam43cjhlUTg?oc=5" target="_blank">Deep Learning–based Brain Age Prediction Using MRI to Identify Fetuses with Cerebral Ventriculomegaly</a>  <font color="#6f6f6f">RSNA Journals</font>

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Direct video-based spatiotemporal deep learning for cattle lameness detection | Scientific Reports
Naturegeneral

Direct video-based spatiotemporal deep learning for cattle lameness detection | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBsWk9nUjdvajdMZkxLUTcwZzlHNEZ6Q2ppRjZKZW5wREg2V0FpMGVqVUNMMnoxZXpxbWN2TU94Z05Wano2OWtjQWpfel9heXBvZERaenlzMEpENWdWUjNV?oc=5" target="_blank">Direct video-based spatiotemporal deep learning for cattle lameness detection | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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Comprehensive mapping of RNA modification dynamics and crosstalk via deep learning and nanopore direct RNA-sequencing
Naturegeneral

Comprehensive mapping of RNA modification dynamics and crosstalk via deep learning and nanopore direct RNA-sequencing

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE0tYmhPYmJ3RHkxTFdjWjVMVFNVNnU2cjZaS1JSOU4zNGF2VmFBNFdxU29fNzNxd1BYWFcySktqbkVjY2xqa2p3RzUxLVY3TEhCVDJaZDdpOXVZajF0VXJJ?oc=5" target="_blank">Comprehensive mapping of RNA modification dynamics and crosstalk via deep learning and nanopore direct RNA-sequencing</a>  <font color="#6f6f6f">Nature</font>

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FODSeg: a deep learning framework for tract-specific white matter segmentation from full angular distributions
Frontiersgeneral

FODSeg: a deep learning framework for tract-specific white matter segmentation from full angular distributions

<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxQTVJPamloSmlVTmF5OXdlVXJFMjFTZzQwX1ZzczF4aEdkZlVMdGVORnFRZk9YU1FZQXpxNzJHd1NvelNMZlpoWlZERlhJYW9IbTRBcXZXejkzaEsycGwxT0c4dHN3VkljN2UzNW9TWFBmRzBWRDNSYW0tcUx4aF9QaDIzbHBoc3kwTkFxZjVjamZBUHJp?oc=5" target="_blank">FODSeg: a deep learning framework for tract-specific white matter segmentation from full angular distributions</a>  <font color="#6f6f6f">Frontiers</font>

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Improving generalization ability of deep-learning-based ODE solvers using continuous dependence
Naturegeneral

Improving generalization ability of deep-learning-based ODE solvers using continuous dependence

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5DZlI2MDN4dXJRLTVLVWVseEx5V3NPYUJYdFN2Ql9JNG9Rc2Y1cEtvRlRpVUNDN2g5MDlleGszVnI5bk1VbUhlMW5qYUEwRlFRTzJpTHNQNTJDdEUwM193?oc=5" target="_blank">Improving generalization ability of deep-learning-based ODE solvers using continuous dependence</a>  <font color="#6f6f6f">Nature</font>

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Artificial intelligence in refractive surgery: progress, challenges, and future directions
Frontiersgeneral

Artificial intelligence in refractive surgery: progress, challenges, and future directions

<a href="https://news.google.com/rss/articles/CBMirAFBVV95cUxPVkhhMWJEMUNWQ250ZkpzRmxsSjBndjJxOGZfRzhGV3l5ajZTNUhvU2JXcjIzR1djLVY5aXQ5RVpsN0tiNUFvajM3MzdDTXdHcXc4WWM2cW1jVERmVnY1dzE4SWNjb2oxaE1yRjhIRGxldk9lZEVrekpibTFGeHFhbF9DT09XQ1pzTGR4OEFKLU93X05pY1FfaFlrU0lud09KWFpaOVNKcDF4MDhu?oc=5" target="_blank">Artificial intelligence in refractive surgery: progress, challenges, and future directions</a>  <font color="#6f6f6f">Frontiers</font>

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Landscape and future directions of machine learning applications in closed-loop brain stimulation | npj Digital Medicine
Naturetech

Landscape and future directions of machine learning applications in closed-loop brain stimulation | npj Digital Medicine

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBYUkJSb1J0REdEZG5FYzVJdEJWcE9Pc2NYeEg1ejN6c2pWWURWX19tcjhNNjctWXRyaktlN3RkSUMwREgybjdjNWY3YUs0dVVvajVjWERqeEtnMVV1b0Rv?oc=5" target="_blank">Landscape and future directions of machine learning applications in closed-loop brain stimulation | npj Digital Medicine</a>  <font color="#6f6f6f">Nature</font>

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Direct learning-based deep spiking neural networks: a review
Frontiersgeneral

Direct learning-based deep spiking neural networks: a review

<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxOaGpBLVRqOW1VdjZfSXpZUldhenZ6MTNlZWlMYnNnclZPSHB4QVA2TThCcGExSllqNGE5ZVVFemJ0Sk9sdmVkMjlyY09Yd3dLdjlreHJjUENXVHF3LVBqUzROOHNxRXJRVHU5aXc0MENBXzZ3OVJTSWp2V3ZqVHRTZUQtTF9ZZUNDY1BKVG9QenBHQk9Q?oc=5" target="_blank">Direct learning-based deep spiking neural networks: a review</a>  <font color="#6f6f6f">Frontiers</font>

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Enhancing deep learning-based slope stability classification using a novel metaheuristic optimization algorithm for feature selection
Naturepolitics

Enhancing deep learning-based slope stability classification using a novel metaheuristic optimization algorithm for feature selection

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE01WGl6cEttb2M1WjdodVpJMGU0THdpWl9fZm85V3VPMGhXTTFxeHhxR0N3YlNlNVdDUjAzM0E0QW5wVkxvR0hWVUI5Y0FpaDFJU0tobl9XRi1hLWtEM2Vv?oc=5" target="_blank">Enhancing deep learning-based slope stability classification using a novel metaheuristic optimization algorithm for feature selection</a>  <font color="#6f6f6f">Nature</font>

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A review of rigid point cloud registration based on deep learning
Frontiersgeneral

A review of rigid point cloud registration based on deep learning

<a href="https://news.google.com/rss/articles/CBMilgFBVV95cUxPUkdLcnZneVhQdTczRkJHMHpiNU93R2s4VHpxdEVuXzFHZ3BEZ0RzM1hwQ1UwQXJsX0Y5RmttRmdWVnRTWmp1VEdJd0hJVEpvMGpsMFBsZGtJazkyakVlVk1pbndYamlTSHR4MzBack1weWJCMmp6TmFrTVJiUXRfSS1tWWJDdkloR3RpNllwZkdXbUtRUlE?oc=5" target="_blank">A review of rigid point cloud registration based on deep learning</a>  <font color="#6f6f6f">Frontiers</font>

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Machine learning in point-of-care testing: innovations, challenges, and opportunities
Natureworld

Machine learning in point-of-care testing: innovations, challenges, and opportunities

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5PVm5EZFFoQ2M2NEFJaldpWjdaVTBiZ2laWnRsN0FEdnJRTUZjS1NIRW5wUUs0Ulc4U19ldVp3R0FvNmZNNE45SUplZjB3cnhuYU5Kd2VUSDdsT1VtS2g0?oc=5" target="_blank">Machine learning in point-of-care testing: innovations, challenges, and opportunities</a>  <font color="#6f6f6f">Nature</font>

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Deep learning based thermal foot segmentation with probability inversion post-processing for automated epidural block assessment
Frontiersgeneral

Deep learning based thermal foot segmentation with probability inversion post-processing for automated epidural block assessment

<a href="https://news.google.com/rss/articles/CBMijgFBVV95cUxNVGVNcGR4RjV2LXZORmQ2T3B1Q0gtUGdDaHN0MVdtV3FwWElPLWZ2QllibVI5S2xtVkFteE1qalEyLUI1dnJHRnZNY2VZZWYtaW1SRzNseUk5WEJDVmd1QTZLRU1CZWVaYjYwWk1NQTF2ZU9nOS14d2lMbmhTdnMyLUVqVDBhYzlhaGR5blV3?oc=5" target="_blank">Deep learning based thermal foot segmentation with probability inversion post-processing for automated epidural block assessment</a>  <font color="#6f6f6f">Frontiers</font>

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Diagnostic accuracy of machine-learning–based image analysis for early detection of Kaposi sarcoma in people living with HIV
Frontiersgeneral

Diagnostic accuracy of machine-learning–based image analysis for early detection of Kaposi sarcoma in people living with HIV

<a href="https://news.google.com/rss/articles/CBMiogFBVV95cUxOMzBtemFITjhqN3Z0ZXRnbzlCSjNrRUNITmowdWhrSnloSklfc1JfTGdUaVZiTHhZSzJSVVdyZk1IZ19GTEZfLWQyRG5iSHB0RE5EeVI5VjE1MHR2c2llWmJfelhhNHF4dmsxY0FjRV9WUjNRMGNEdjVtSEtjRjVTN2N4MUtlazZpZExTNVdZNWlFbnQtQXBPaTZNMmJUOGNsNHc?oc=5" target="_blank">Diagnostic accuracy of machine-learning–based image analysis for early detection of Kaposi sarcoma in people living with HIV</a>  <font color="#6f6f6f">Frontiers</font>

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Machine learning-based MRI imaging for prostate cancer diagnosis: systematic review and meta-analysis
Naturegeneral

Machine learning-based MRI imaging for prostate cancer diagnosis: systematic review and meta-analysis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBDUjZIZ2h5M2xfZk91ZE1Qbjk4ZEg2T0xPQzk5YlBhTlJieVE3T3pDYVhPZFVmZmxtVEtOQWZtUzUxUGJzaDc5OTVhMk1pRmJZQVBpRGJRbk9IRll4cGcw?oc=5" target="_blank">Machine learning-based MRI imaging for prostate cancer diagnosis: systematic review and meta-analysis</a>  <font color="#6f6f6f">Nature</font>

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Reducing AUV Energy Consumption Through Dynamic Sensor Directions Switching via Deep Reinforcement Learning
The Association for the Advancement of Artificial Intelligencegeneral

Reducing AUV Energy Consumption Through Dynamic Sensor Directions Switching via Deep Reinforcement Learning

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTFB2TGM3LUYzYXRLZmtiRW4xWjQyMWh0MHNoOUFpRTZoSHJKMEFYWl9YNnhRRUZjYk0xakVQeHpQRUZtYms4YUhDdTl6cXRfZkcxSVhDNW9HcE1FUDc3cHkxTGZZeHg?oc=5" target="_blank">Reducing AUV Energy Consumption Through Dynamic Sensor Directions Switching via Deep Reinforcement Learning</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Artificial Intelligence in Cardiology: The Current Applications and Future Directions
Cureusgeneral

Artificial Intelligence in Cardiology: The Current Applications and Future Directions

<a href="https://news.google.com/rss/articles/CBMiwAFBVV95cUxPUEFIRFpia2cxenpRSXNRMjItN3dkUlFvZHpfODhXVDdTOUdQU3VhUFBneTBHUkhWTEttMFhWMXlEQk16b1FpT3ZTZjlTMVhUS3I1dUpCSVhnWGUtZVRNX0tiV0Q5Yi1IT3FDOWpCQ2JvNHR6eDU0MkRnLTgyX0ZiVjVGc2xqeWx0TnJFZ2F3djFsZG8yU1J1cnZlSUoycnNzQzdaWVR1NUF6OFVuVV8wM2l4R3RNQkFxSXJJQU5RQUw?oc=5" target="_blank">Artificial Intelligence in Cardiology: The Current Applications and Future Directions</a>  <font color="#6f6f6f">Cureus</font>

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A systematic review of deep learning-based object detection methods for crop grading
CABI Digital Librarygeneral

A systematic review of deep learning-based object detection methods for crop grading

<a href="https://news.google.com/rss/articles/CBMia0FVX3lxTFBYNF9SUW1WOUpaX2o4YlJ6c1hfRlA4OV9YSnVPZW1ncnR2eno4YzE3TzZVa2dublJHZ0R5MTZoaXo3THo0aktfZ0lhOU5zYXU4bkVUaHpHck1iY0hMUjlPNnRhcFRoLUk1M2NZ?oc=5" target="_blank">A systematic review of deep learning-based object detection methods for crop grading</a>  <font color="#6f6f6f">CABI Digital Library</font>

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Deep learning-based diffusion tensor image generation model: a proof-of-concept study
Naturegeneral

Deep learning-based diffusion tensor image generation model: a proof-of-concept study

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFA1dTJEYm94eHM0MjhQZ3hXM1hMNk9MdjN3aWx5UFN3TWVjZXk4SVJsR3p1ZEpzb0Y3VGtDUTRPbTRJWW0ybE1vMXNKWVZCWkEzYnZNSF81NklkbnNhaWNv?oc=5" target="_blank">Deep learning-based diffusion tensor image generation model: a proof-of-concept study</a>  <font color="#6f6f6f">Nature</font>

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Rolling bearing remaining useful life prediction using deep learning based on high-quality representation
Naturetech

Rolling bearing remaining useful life prediction using deep learning based on high-quality representation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE0xN2NfY1BvcWZ1SE5zVUgzc1N1SXlKSExmcW9BQXhCR0phQWlnMXAxZXBTY2x2MWI5eFFicDc4YWdNR2ZhYmkyNHNudlF6OU05c0ZfUFlVVmNmZEprRGRr?oc=5" target="_blank">Rolling bearing remaining useful life prediction using deep learning based on high-quality representation</a>  <font color="#6f6f6f">Nature</font>

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Deep learning–based approaches for weed detection in crops
Frontiersgeneral

Deep learning–based approaches for weed detection in crops

<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxNUEdXaUw0bkYtNUNtVnplQVFJOWY1MWhnajdfM0xKTnRONVk3dkllOGpXUTNDck91emNBVUNTS2JjaHpfMm5IOUM0OUFHS1FVdEswbHNPczh5TEJydXEzQU1jSUdjVDdGbW11Tnl5aHQybEZBdS1SQ3g2RXVSdTZGRk1DTEZ3c0s2SHZmVXQ5TzFhTTU2?oc=5" target="_blank">Deep learning–based approaches for weed detection in crops</a>  <font color="#6f6f6f">Frontiers</font>

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Machine learning models for drug-drug interaction prediction from computational discovery to clinical application
Naturegeneral

Machine learning models for drug-drug interaction prediction from computational discovery to clinical application

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9HeXlVLTg2ZWJMOGZGRExlVWg2U2t3Q1lnMjJPbEhRZG10MGtCR25OeXZwZTBUcmlKWEhJNGM3Skg4VlhQbnRwaXNiSmxlaWo0c1VvOXZEdDEzTTdLTVhB?oc=5" target="_blank">Machine learning models for drug-drug interaction prediction from computational discovery to clinical application</a>  <font color="#6f6f6f">Nature</font>

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Hybrid deep learning CNN-LSTM model for forecasting direct normal irradiance: a study on solar potential in Ghardaia, Algeria | Scientific Reports
Naturetech

Hybrid deep learning CNN-LSTM model for forecasting direct normal irradiance: a study on solar potential in Ghardaia, Algeria | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1XT2ctaHRxWjNEMjRobkVtSi04QjZWWXRYZnYweFNEdGxidjI1SGZ3OFFVUXpmTTI0dDRwa0lUc0RVS2ZNalc2SlAwd0dhX3pMNnRLcFlrZDk0MUkxVDZn?oc=5" target="_blank">Hybrid deep learning CNN-LSTM model for forecasting direct normal irradiance: a study on solar potential in Ghardaia, Algeria | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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Machine Learning-Based Early Prediction of Gestational Diabetes Using First-Trimester Laboratory Parameters
Cureusgeneral

Machine Learning-Based Early Prediction of Gestational Diabetes Using First-Trimester Laboratory Parameters

<a href="https://news.google.com/rss/articles/CBMi3wFBVV95cUxPYUdnNkZIQ1Zkem1FU0hQcm5BTjJmcVFseldjbm44NzZKcmJVUzE1OFBBTC1vX09ERnJtTnRqVXRXRTFITnA0N19Wd19ZNXkwZmtDQktfczJ3NGs2S1JIOVcyalVjS1hpXzlITWpmSC1QQ19pRHZ0YW5Td0R6cW5ObUVob1F4ckZHQU9SVlAybkV5UUJtaDZIZVVFZmNQa2J4N3RaLTZOZFhuSEJCamRWelNkemxkZE01eEtXTGFYaktQR0JVZ0VDaDBMX1QtdThRR29rN1VRNmR3WUJfUUZv?oc=5" target="_blank">Machine Learning-Based Early Prediction of Gestational Diabetes Using First-Trimester Laboratory Parameters</a>  <font color="#6f6f6f">Cureus</font>

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