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BBCNEWS BBC News June 4, 2024 15:48:00

Planning something like this, what are you hoping to get and what did you get? are you hoping to get and what did ou net? ~ , ., are you hoping to get and what did ou:et?~ ,., . , you get? with toads and leeches, we were heping you get? with toads and leeches, we were heping to you get? with toads and leeches, we were hoping to film you get? with toads and leeches, we were hoping to film toads you get? with toads and leeches, we were hoping to film toads migrating l were hoping to film toads migrating and mass en masse. we lost 68% of toads since the 19705 and we wanted toads since the 19705 and we wanted to see a huge wave of toads moving and the story of the landscape, but we just didn t have those numbers to represent that element of the story so instead we had to change our tactics. we followed a male and a female, cro55ing ....

Toads Migrating L , You Net , Toads Migrating And Mass , En Masse ,

"A Novel Deep Learning Framework for Water Body Segmentation from Satel" by Inas Jawad Kadhim and Prashan Premaratne

Deep learning techniques became crucial in analyzing satellite images for various remote sensing applications such as water body detection. Water body segmentation helps identify and analyze the statistics of various water bodies such as rivers, lakes, and reservoirs. Remote sensing-based real-time water body detection aids in providing a proper response during crises such as floods and course changes in rivers. However, the need for high-resolution multichannel satellite images is the main challenge in achieving a highly accurate water body segmentation. Most water body extraction methods described in the literature use multi-band satellite data that gather extra information from additional bands. However, the lack of such a dataset poses a significant challenge to the analysis. As a result, the research in this field is considerably weaker compared with the other related disciplines. The current study focuses on a research problem for segmenting water body regions from relatively low ....

Convolution Block Attention Module , Convolutional Neural Network , Deep Learning , You Net , Ater Body Segmentation ,

BBCNEWS BBC News June 4, 2024 15:21:00

Others senior civil servants. annually they make recommendations to the government on pay increases for the groups they cover. each review body will consist of independent people who come together to listen to the evidence and think about it carefully and produce a report which is published. hoop about it carefully and produce a report which is published. how do ou aet report which is published. how do ou net to report which is published. how do you get to sit report which is published. how do you get to sit on report which is published. how do you get to sit on one? report which is published. how do you get to sit on one? you - report which is published. how do you get to sit on one? you apply, | you get to sit on one? you apply, the osts you get to sit on one? you apply, the posts are you get to sit on one? you apply, the posts are advertised - you get to sit on one? you apply, the posts are advertised but - you get to sit on one? you apply, the posts are advertised but in i ....

Review Body , The Last One , Ou Aet Report , The End , You Net , You Report , Secretary Of State , Industrial Relations , Review Bodies ,

"Detection and Semantic Segmentation of Rib Fractures using a Convoluti" by Zineddine N. Haitaamar and Nidhal Abdulaziz

Rib Fractures are one of the most common bone injuries that can occur. Over 3 million cases are diagnosed in the United States alone yearly making it a very common fracture. Causes are usually from chest trauma such as falls and sports accidents. The detection of Rib Fractures is a common task in clinics and a labor-intensive such that a specialist radiologist is required to detect rib fractures. The proposed solution looks at processing CT Scans containing rib fractures with an Attention U-Net CNN Architecture. The system achieved a segmentation dice of 77.46% and an IoU of 63.21% with an improvement of 5.96% and 7.61% respectively from the currently published paper. ....

United States , Rib Fractures , Attentionu Net , Bone Fracture , Convolutional Neural Networks , Image Processing , Rib Fracture , You Net ,

BBCNEWS BBC News October 19, 2021 20:47:00

It is a huge problem in the uk. a poll for the charity forward which was behind today s launch suggests over 64% of people know someone with an addiction and yet admit to not fully understanding the condition. and that is what the charities want to tackle the ignorance how do we recognise the early signs of an addiction before it takes hold? we have got two really good people to talk to about this. mike trace who is head of the charity forward and was behind the uk s first national drug strategy, and the mp dan carden who s gone public about his recovery from an alcohol addiction. dan, very good to have you with us. thank you both indeed for being on the programme. dan, you understand more than most because you battled your own addiction. how did you come to terms with it and what hell did you get? to terms with it and what hell did ou et? , ., ., to terms with it and what hell did ou net? ,., ., ., ., ,, you get? good evening and thank you for the invitation you get? good even ....

Recovery Communitiesi Addiction , Charity Forward Which , Uks First National Drug Strategy , Dan Carden , Alcohol Addiction , Hell Did Ou Et , You Net ,