These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

177 related articles for article (PubMed ID: 35158175)

  • 1. Operational use of multispectral images for macro-litter mapping and categorization by Unmanned Aerial Vehicle.
    Gonçalves G; Andriolo U
    Mar Pollut Bull; 2022 Mar; 176():113431. PubMed ID: 35158175
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Drones for litter mapping: An inter-operator concordance test in marking beached items on aerial images.
    Andriolo U; Gonçalves G; Rangel-Buitrago N; Paterni M; Bessa F; Gonçalves LMS; Sobral P; Bini M; Duarte D; Fontán-Bouzas Á; Gonçalves D; Kataoka T; Luppichini M; Pinto L; Topouzelis K; Vélez-Mendoza A; Merlino S
    Mar Pollut Bull; 2021 Aug; 169():112542. PubMed ID: 34052588
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Beach litter survey by drones: Mini-review and discussion of a potential standardization.
    Gonçalves G; Andriolo U; Gonçalves LMS; Sobral P; Bessa F
    Environ Pollut; 2022 Dec; 315():120370. PubMed ID: 36216177
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Spatial and size distribution of macro-litter on coastal dunes from drone images: A case study on the Atlantic coast.
    Andriolo U; Gonçalves G; Sobral P; Bessa F
    Mar Pollut Bull; 2021 Aug; 169():112490. PubMed ID: 34022556
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Detecting stranded macro-litter categories on drone orthophoto by a multi-class Neural Network.
    Pinto L; Andriolo U; Gonçalves G
    Mar Pollut Bull; 2021 Aug; 169():112594. PubMed ID: 34118575
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Mapping marine litter with Unmanned Aerial Systems: A showcase comparison among manual image screening and machine learning techniques.
    Gonçalves G; Andriolo U; Pinto L; Duarte D
    Mar Pollut Bull; 2020 Jun; 155():111158. PubMed ID: 32310099
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Field test of beach litter assessment by commercial aerial drone.
    Lo HS; Wong LC; Kwok SH; Lee YK; Po BH; Wong CY; Tam NF; Cheung SG
    Mar Pollut Bull; 2020 Feb; 151():110823. PubMed ID: 32056615
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Understanding through drone image analysis the interactions between geomorphology, vegetation and marine debris along a sandy spit.
    Corbau C; Buoninsegni J; Olivo E; Vaccaro C; Nardin W; Simeoni U
    Mar Pollut Bull; 2023 Feb; 187():114515. PubMed ID: 36580840
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Enabling a large-scale assessment of litter along Saudi Arabian red sea shores by combining drones and machine learning.
    Martin C; Zhang Q; Zhai D; Zhang X; Duarte CM
    Environ Pollut; 2021 May; 277():116730. PubMed ID: 33652184
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Mapping marine litter using UAS on a beach-dune system: a multidisciplinary approach.
    Gonçalves G; Andriolo U; Pinto L; Bessa F
    Sci Total Environ; 2020 Mar; 706():135742. PubMed ID: 31791786
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Anthropogenic litter in freshwater environments - Study on lake beaches evaluating marine guidelines and aerial imaging.
    Hengstmann E; Fischer EK
    Environ Res; 2020 Oct; 189():109945. PubMed ID: 32980020
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Assessment of beach macrolitter using unmanned aerial systems: A study along the Bulgarian Black Sea Coast.
    Bekova R; Prodanov B
    Mar Pollut Bull; 2023 Nov; 196():115625. PubMed ID: 37813062
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Using aerial photography and in situ measurements to estimate the quantity of macro-litter on beaches.
    Nakashima E; Isobe A; Magome S; Kako S; Deki N
    Mar Pollut Bull; 2011 Apr; 62(4):762-9. PubMed ID: 21367432
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Mapping marine litter on coastal dunes with unmanned aerial systems: A showcase on the Atlantic Coast.
    Andriolo U; Gonçalves G; Bessa F; Sobral P
    Sci Total Environ; 2020 Sep; 736():139632. PubMed ID: 32485384
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Floating marine macro-litter in the North Western Mediterranean Sea: Results from a combined monitoring approach.
    Garcia-Garin O; Borrell A; Aguilar A; Cardona L; Vighi M
    Mar Pollut Bull; 2020 Oct; 159():111467. PubMed ID: 32692674
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Marine macro-litter composition and distribution along the Kenyan Coast: The first-ever documented study.
    Okuku EO; Kiteresi LI; Owato G; Mwalugha C; Omire J; Otieno K; Mbuche M; Nelson A; Gwada B; Mulupi L
    Mar Pollut Bull; 2020 Oct; 159():111497. PubMed ID: 32738643
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Carpobrotus spp. patches as trap for litter: Evidence from a Mediterranean beach.
    Gallitelli L; Battisti C; Olivieri Z; Marandola C; Acosta ATR; Scalici M
    Mar Pollut Bull; 2021 Dec; 173(Pt B):113029. PubMed ID: 34673433
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Beach-dune morphodynamics and marine macro-litter abundance: An integrated approach with Unmanned Aerial System.
    Andriolo U; Gonçalves G; Sobral P; Fontán-Bouzas Á; Bessa F
    Sci Total Environ; 2020 Dec; 749():141474. PubMed ID: 32846347
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The influence of monsoons on the spatial distribution and composition of floating marine litter.
    Okuku EO; Owato G; Otieno K; Kombo MM; Chiphatsi MM; Gwada B; Chepkemboi P; Wanjeri V; Kiteresi LI; Achieng Q; Nelson A
    Mar Pollut Bull; 2022 Feb; 175():113386. PubMed ID: 35124374
    [TBL] [Abstract][Full Text] [Related]  

  • 20. What can beach litter tell about local management: A comparison of five pocket beaches of the North Sardinia island (Italy).
    Corbau C; Lazarou A; Gazale V; Nardin W; Simeoni U; Carboni D
    Mar Pollut Bull; 2022 Jan; 174():113170. PubMed ID: 34863074
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.