Aggregated real-time headlines, trending Google search queries, and verified dispatches in one single page.
<a href="https://news.google.com/rss/articles/CBMiogFBVV95cUxPQ2lKaGhKUTZYV2lhRzlQRUotQ0NndHlCN3Fpb2l1Mmg4UFZyYkw5eDRLRjNHQmxOWUNSM1RKcVBJRE9JTHl5d1pfcC1aWElEM0FyYUNDTmZ6dXJIRFN6X0c4dVhNdWZaMmF6VllpSTlzVVVQdVlYeUdvcUtTZklwSXVDUUJxRE84VlNuZTdmdThveHA5N09scWFMc01tajJTZFE?oc=5" target="_blank">Enhancing crack detection and severity assessment in historical Tabiya basins using U-Net and adaptive thresholding</a>&nbsp;&nbsp;<font color="#6f6f6f">Frontiers</font>
Champions League Matchday 2: Key stats and what to look out for in every game
Victims of Pennsylvania mass shooting included pregnant daughter of gunman
Northern Lights Forecast: Aurora Could Be Visible From These 10 States Monday
Selma Blair Arrested, Attacks Flight Crew After Trying to Open Plane Door Mid-Air
Updated every 3 minutes via FreeNewsApi, GNews, Currents API & Google News
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5SUlgzel90NmJEdHF5YVJPQWtnNzdVQ3ZkVTZrTlRwRUE3MDlxNlpwSkdZNXVscnFRZWEzQVl0VGxYRlY2TU92YWl3bEZsZVVMUGxfby0tUEJDZ2w5cFA4?oc=5" target="_blank">CLGDS: robust bridge crack detection with YOLO enhanced feature fusion and SIoU optimization</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
<a href="https://news.google.com/rss/articles/CBMiakFVX3lxTE1fNE5WS2Jya0F2cUVoMnZCQVg2UW1OSFVHcFRYekZmZ0VnR0xzV3c1cEdnY2ExNDZvd0VZUmFUdm0yazBvaDF0QWFuNV9mcElYU2tOeGkxVjVPM25VbEdIeUVtSFRuU3A5M1E?oc=5" target="_blank">AI model could speed up and improve infrastructure crack detection</a>&nbsp;&nbsp;<font color="#6f6f6f">Tech Xplore</font>
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5XUVRlalFoWUFJR3FZdGVzZHJNYmsyQVlyWjFjd3JiTE9hRHFxbGU5ZUY3SXowWkJlTEMtd0ZkNjd1SlBFUWNGWkozYlFiVHBqWGRyU1NwLVFab2g2X0w0?oc=5" target="_blank">EVA-YOLOv8: an improved YOLOv8 model integrating multi-scale attention mechanism and vision transformer for multi-class road crack detection</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFA3VFJKTTF5ZUxtcUZ1eFNYcjdmcXpreUFYZFdOV0FNdTlwQnRrTnIzeGVCNENDM05yNjQ5RjMxeDkxMzhjTGVFNnlfdlRpU216WFA0QUNJNGZROE5oSVRJ?oc=5" target="_blank">Precision detection of miniature dam cracks with a multi-scale enhanced YOLO framework for UAV inspection</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1aNXoyQ3doREd3MnJ5ci1MaVQ5QlAxdTNud0xvelBxMkpVNmxTYjRQRTZvbWJoUUZKcVlfZl9aYUhPdzhPd3hQYkJxMm1QS2hHS0xVZVVmRF9GQnFlbUNz?oc=5" target="_blank">Knowledge distillation and pseudo-labeling for lightweight YOLOv11-based structural crack detection</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9ZT3M2WEdCczRGSWw3UTNLZzV2UFNLM1ZkaF9KR29XX09kemlEcFRSZDJiNHI5TEFodUlfN3pMQVVOdUp2d2p0V2dUN285VnpDeGV4dWUyLU8tZDhnRENZ?oc=5" target="_blank">Enhancing recall in asphalt pavement crack segmentation using a HoughNet-extended U-Net architecture with reconstruction head</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBhRjIta2w0NW1yYjhGMy1Dc0c1ODZ6TkROTzBWcC1FS2ZxcHBJS3E4SnVfVi1feFU3eXItSGVPQ0h5b3dqazN3V1R0a2RsVGt1eHRTbFRkZmxsQjd1Ykhz?oc=5" target="_blank">Automatic identification and feature analysis of Min-ing-Induced surface cracks using an improved DRA-UNet</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBrbTVaNEFMMXlPRmZNdUNZUVJUczJ5Q1ktelNPejVodWE0MEEzNWlCUEVkNFZLWXRUSXNOOEdkdWp2Qk5nQndSQ3NFeV8zOVhsQmpfV19PUmtldjNPbGtn?oc=5" target="_blank">Fine-grained pixel-level crack mapping in earthen heritage structures</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1aal80aFpVR0UxQ1NiNmdYZFRCbkc1TFM2UERIRVdZWV9nbEFxRWxxM0Z3SDZkYmZyUjAxdE1ZOXNDVzFVekJQVHFNUXliSlRfZDFMbk4xUjlQTVc0QmpZ?oc=5" target="_blank">A lightweight YOLO11n seg framework for real time surface crack detection with segmentation</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE8wVTBRZzdqQzJaY2xVTDZWcllkX0M1dXpJM0NaSXNkVnFENHZUMVBYZDFnV2o4blVhcVRTMHBSVkZ5blJHdDFBTm5PNW1jd3ZaOHpNSGZNaGswU3FVZ1lv?oc=5" target="_blank">Comparison of three contrast agents in the diagnosis of cracked teeth using Cone Beam Computed Tomography (CBCT)</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE8wZVlZd054cnlGRHYxMTNpd3M2TEotSGJ3WVZLWWVGakNia1FkT0pCbndubEVkOFBlQ21seGVRbGFJTUZOZHdxNVpoM0tKaC1ZRzlZUUF5b2NTTDE2VDVv?oc=5" target="_blank">A lightweight crack segmentation network based on the importance-enhanced Mamba model</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5KWEp0akNVM2tfdWhiUXRVZV91NnFQcG5DYXJiRHRDSzdMYUx2ZG1OYkxzQ3c0azZVRmtkZVRuQTc4aXVuY0prWUZjdFo4QU9HdkllT1R3cWdwajVqZ3RF?oc=5" target="_blank">Automatic crack detection in civil infrastructure based on a hybrid fine tuned MnasNet and adaptive patching</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB3MlVUb0VzcmhnSjFSaTRZTWdqSlpBSUladzZrTmU1M0o5Rldnb1dsSXBoWXlmc1JXb003WHJMOHl2NUpReXF1cjRJNXpXZjZ0UGVBU2hJQ1pYMTFYRlQw?oc=5" target="_blank">Using the improved YOLOv11 model to enhance computer vision applications for building crack detection algorithms</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9odDdfdGJpU0NQOFJyemdVMV82c1lOOWFZN0tLMDRmQTlMa01WZ256d2p1YWNTVE9ORkFfM2dEOFg1LTJOaTlydXgweGl4LXU2N0cxNG5fQ181OVBJSEtR?oc=5" target="_blank">Research on multi-scale feature detection of open-pit mine road cracks</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9sOWFTQjFqeXNkNVJDTzl0ZVZSVDlqNXdYMTZSYlpVTmVPb05pNGttemkwTEJma0dVckg1TlY4Y0FPMFhKWFF3ZnRFNGFCTWxnWmtnY0d3N01pcFVCT21v?oc=5" target="_blank">A hybrid underwater crack image enhancement method</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBZUU1mblZ5N29EMUd0TjlXd2NTRV9pdU1CeEhBNU10REhsNDBMeGlKODI5V2F6b19BbUxMSmZWYVUtNFZQZmxXMUVqcmk4T29jUGpISXBPTzFoV2N2bDVv?oc=5" target="_blank">Lightweight pavement crack detection model for edge computing devices</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1fUjVINDdaT0JnbUV5di0zcm5LRTF6V1RqZ3dIT3JpYlYycWV4elNtRV8wYkE0RDAtRlFEWVlyRXJITHJLZGkwOFoxLWlsanJJT3ZocTY2bDRoZVBsOWJJ?oc=5" target="_blank">Gradient transformer Self-Attention U-Net for enhanced crack detection in concrete bridges</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE04UHNTbDRUYnF5QXpzeEI4dHFjZmVueFRoUXE1bUZEMzFKYVlJbVZ5MTZOalExeGU5bTF4Y09hNzRndm9nUDV2Uk9pWS1OeXJMT1RNaEVQWlE2dkxTUGdN?oc=5" target="_blank">Vision transformers- Kolmogorov–Arnold networks-based consumer driven surface cracks classification model</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5XelBISnRSdGF2ZEllTnhFcGZmQTA2M3dMSDZYbW9PWHlWaENjbTk1b1FKR0RDWTN0SFdLM2dHQVVnZ0R4aThXblVweUZLSzNFaWRyZ0dlUnhWaE1lbVBj?oc=5" target="_blank">Enhanced YOLOv8 for efficient road damage detection with spatial-channel reconstruction and multi-scale attention</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
<a href="https://news.google.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?oc=5" target="_blank">Searching for the Invisible: Georgia Southern student wins big for nondestructive testing application</a>&nbsp;&nbsp;<font color="#6f6f6f">Grice Connect</font>
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9NMHd3aS1OQURWMXg1RV9LWlBWemJIZjlLTW1RYmNEdFFQaTVDaS1Uc2M2UmkyNUlJcHczaHZvazhsMG5nY2hBdlR4MXZVRENza1B4Sk5lamRpNmNINnpB?oc=5" target="_blank">A novel convolutional neural network for enhancing the continuity of pavement crack detection</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
<a href="https://news.google.com/rss/articles/CBMia0FVX3lxTE5Sd3I2eFgwbkZXdEN5WjhvRm8wZDRZRjM3VFhLTkpvMzN6dks3YnBhX2ZlN0xXeTBZTjRXNGFpbzJUZ29kWWtfeGw2VWVoenhLRHZ1YkE4dm40OTh5c1otcXE3dkR5eG9nSGNV?oc=5" target="_blank">Parts Surface Defect Detection Algorithm Based on Improved YOLOv8s</a>&nbsp;&nbsp;<font color="#6f6f6f">Wiley Online Library</font>
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1iVkR3VmVrQjZkakdxVjVNN3FSV0hER3hSVEExRUVHT19kb29ncWFKR3ZHY1pZLXJTQktQZFBJam5NWmxYNkRxcTlCN1dKQkZRc3JHTGN5VXExZWdoYVp3?oc=5" target="_blank">FCN attention enhancing asphalt pavement crack detection through attention mechanisms and fully convolutional networks</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE00TnZqLVNOSERnMml6QklyaUYwVjZEczZMQ216YnhRWFZuRkRQSVRWaENtQmw3c0hoUkxsMFhVN3RfMHh6Tm5KdVB5SGZ4b1N4ZGowZ2dXX096SFMwOFQ4?oc=5" target="_blank">Enhancing tunnel crack detection with linear seam using mixed stride convolution and attention mechanism</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5qdG5MZXlCZ2tDVmt3aXVFdTFmZGpaLWF3UGtkU0pHSk1tdW12VjZucTQyZkJhVG5iTUVGM0pITWdDVGRudW9Jajh2WTBmZzBuOTRlc09yR3BvdEl4Y2Rv?oc=5" target="_blank">GSBYOLO: A lightweight Multi-Scale fusion network for road crack detection in complex environments</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5tdk92V09SUGhrUlpNZzRnZlFodGdzemZQcERuaVFtS19jdTIzZ3N2WXM5clBFWWFzSWhxT1JIM0c1MkhNT0N0al8tN0loaUhPc3J6dHJMbkZDeXktOHhn?oc=5" target="_blank">A crack detection model fusing local details and global context for nuclear cladding coating surfaces</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1VWWZ4NFg4TVhMYm1NVHFhNWFLTjVSbV94VGM5ZTRpRXNEU2NJQWpMbHJ5a3F3THgwTXRHLVpuamEwVFZWZmhrWXF6aGFfTi1kVHZoXzNrNnRRTk04V3Z3?oc=5" target="_blank">Building construction crack detection with BCCD YOLO enhanced feature fusion and attention mechanisms</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBpam1LdDVlLVpORXRUSFF4RnFkUFMybUNJY0tDbU1yWVBrb0dBSnlmVjlnTFJHbXh5dVFtNllVbU1kYzB6NnZ6TWZhXy1iNlJYTlItbVhNcnMtdWI5ZzRj?oc=5" target="_blank">Improved YOLOv8n-based bridge crack detection algorithm under complex background conditions</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9XTjN1SEpDTUtqUHhkU1VWelpWNy1LRllKZ0FmcFBfV21TdjJfTVBzcS05b3NoUlhXVzhycng4eEZjUi1MaVp4V3NOaVEtT1R3NnVyYW9Ua1o1NmhDVmw4?oc=5" target="_blank">A unified approach for weakly supervised crack detection via affine transformation and pseudo label refinement</a>&nbsp;&nbsp;<font color="#6f6f6f">Nature</font>