104 related articles for article (PubMed ID: 38943818)
1. Quantification of litter in cities using a smartphone application and citizen science in conjunction with deep learning-based image processing.
Kako S; Muroya R; Matsuoka D; Isobe A
Waste Manag; 2024 Jun; 186():271-279. PubMed ID: 38943818
[TBL] [Abstract][Full Text] [Related]
2. Litter Detection with Deep Learning: A Comparative Study.
Córdova M; Pinto A; Hellevik CC; Alaliyat SA; Hameed IA; Pedrini H; Torres RDS
Sensors (Basel); 2022 Jan; 22(2):. PubMed ID: 35062507
[TBL] [Abstract][Full Text] [Related]
3. Harnessing citizen science to tackle urban-sourced ocean plastic pollution: Experiences and lessons learned from implementing city-wide surveys of plastic litter.
Winton S; Roberts KP; Bowyer C; Fletcher S
Mar Pollut Bull; 2023 Jul; 192():115116. PubMed ID: 37279612
[TBL] [Abstract][Full Text] [Related]
4. Addressing the challenge of marine plastic litter in the Moroccan Mediterranean: A citizen science project with schoolchildren.
Bouzekry A; Mghili B; Aksissou M
Mar Pollut Bull; 2022 Nov; 184():114167. PubMed ID: 36182785
[TBL] [Abstract][Full Text] [Related]
5. Solving visual pollution with deep learning: A new nexus in environmental management.
Ahmed N; Islam MN; Tuba AS; Mahdy MRC; Sujauddin M
J Environ Manage; 2019 Oct; 248():109253. PubMed ID: 31306925
[TBL] [Abstract][Full Text] [Related]
6. Exploring the abundance and characteristics of litter in Lithuanian riversides: a citizen science approach.
Uogintė I; Byčenkienė S; Davtalab M; Markevičiūtė R
Environ Monit Assess; 2024 Feb; 196(3):324. PubMed ID: 38421530
[TBL] [Abstract][Full Text] [Related]
7. A new paradigm for estimating the prevalence of plastic litter in the marine environment.
Kylili K; Artusi A; Hadjistassou C
Mar Pollut Bull; 2021 Dec; 173(Pt B):113127. PubMed ID: 34773771
[TBL] [Abstract][Full Text] [Related]
8. What potential does the EU Single-Use Plastics Directive have for reducing plastic pollution at coastlines and riversides? An evaluation based on citizen science data.
Kiessling T; Hinzmann M; Mederake L; Dittmann S; Brennecke D; Böhm-Beck M; Knickmeier K; Thiel M
Waste Manag; 2023 Jun; 164():106-118. PubMed ID: 37044029
[TBL] [Abstract][Full Text] [Related]
9. Characterization of seafloor litter on Mediterranean shallow coastal waters: Evidence from Dive Against Debris®, a citizen science monitoring approach.
Consoli P; Scotti G; Romeo T; Fossi MC; Esposito V; D'Alessandro M; Battaglia P; Galgani F; Figurella F; Pragnell-Raasch H; Andaloro F
Mar Pollut Bull; 2020 Jan; 150():110763. PubMed ID: 31910520
[TBL] [Abstract][Full Text] [Related]
10. Marine anthropogenic litter on British beaches: A 10-year nationwide assessment using citizen science data.
Nelms SE; Coombes C; Foster LC; Galloway TS; Godley BJ; Lindeque PK; Witt MJ
Sci Total Environ; 2017 Feb; 579():1399-1409. PubMed ID: 27913017
[TBL] [Abstract][Full Text] [Related]
11. Synthetic polymers: A global threat to aquatic benthic environments.
Consoli P; Costa V; Sciutteri V; Malara D; Pedà C; Figurella F; Campbell I; Deery E; Romeo T; Andaloro F
J Hazard Mater; 2024 Aug; 474():134848. PubMed ID: 38850941
[TBL] [Abstract][Full Text] [Related]
12. BePLi Dataset v1: Beach Plastic Litter Dataset version 1 for instance segmentation of beach plastic litter.
Hidaka M; Murakami K; Koshidawa K; Kawahara S; Sugiyama D; Kako S; Matsuoka D
Data Brief; 2023 Jun; 48():109176. PubMed ID: 37180875
[TBL] [Abstract][Full Text] [Related]
13. First landscape-scale survey of the background level of COVID-19 face mask litter: Exploring the potential for citizen science data collection during a 'pollution pilgrimage' of walking a 250-km roadside transect.
France RL
Sci Total Environ; 2022 Apr; 816():151569. PubMed ID: 34774631
[TBL] [Abstract][Full Text] [Related]
14. The BeachLitter dataset for image segmentation of beach litter.
Sugiyama D; Hidaka M; Matsuoka D; Murakami K; Kako S
Data Brief; 2022 Jun; 42():108072. PubMed ID: 35392618
[TBL] [Abstract][Full Text] [Related]
15. A nationwide assessment of litter on China's beaches using citizen science data.
Chen H; Wang S; Guo H; Lin H; Zhang Y
Environ Pollut; 2020 Mar; 258():113756. PubMed ID: 31855673
[TBL] [Abstract][Full Text] [Related]
16. On the impact of Citizen Science-derived data quality on deep learning based classification in marine images.
Langenkämper D; Simon-Lledó E; Hosking B; Jones DOB; Nattkemper TW
PLoS One; 2019; 14(6):e0218086. PubMed ID: 31188894
[TBL] [Abstract][Full Text] [Related]
17. Seafloor litter along the Italian coastal zone: An integrated approach to identify sources of marine litter.
Scotti G; Esposito V; D'Alessandro M; Panti C; Vivona P; Consoli P; Figurella F; Romeo T
Waste Manag; 2021 Apr; 124():203-212. PubMed ID: 33631445
[TBL] [Abstract][Full Text] [Related]
18. Understanding the factors affecting the quantity and composition of street litter: Implication for management practices.
Rossi A; Wu M; Wolde BT; Zerbe KW; David Hsu TT; Giudicelli A; Da Silva R
Heliyon; 2023 Mar; 9(3):e14245. PubMed ID: 36967913
[TBL] [Abstract][Full Text] [Related]
19. Citizen science for better management: Lessons learned from three Norwegian beach litter data sets.
Falk-Andersson J; Berkhout BW; Abate TG
Mar Pollut Bull; 2019 Jan; 138():364-375. PubMed ID: 30660285
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]