BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

142 related articles for article (PubMed ID: 32788970)

  • 1. New technologies in the mix: Assessing N-mixture models for abundance estimation using automated detection data from drone surveys.
    Corcoran E; Denman S; Hamilton G
    Ecol Evol; 2020 Aug; 10(15):8176-8185. PubMed ID: 32788970
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Evaluating new technology for biodiversity monitoring: Are drone surveys biased?
    Corcoran E; Denman S; Hamilton G
    Ecol Evol; 2021 Jun; 11(11):6649-6656. PubMed ID: 34141247
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Real-time drone derived thermal imagery outperforms traditional survey methods for an arboreal forest mammal.
    Witt RR; Beranek CT; Howell LG; Ryan SA; Clulow J; Jordan NR; Denholm B; Roff A
    PLoS One; 2020; 15(11):e0242204. PubMed ID: 33196649
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automated detection of koalas using low-level aerial surveillance and machine learning.
    Corcoran E; Denman S; Hanger J; Wilson B; Hamilton G
    Sci Rep; 2019 Mar; 9(1):3208. PubMed ID: 30824795
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Drone images afford more detections of marine wildlife than real-time observers during simultaneous large-scale surveys.
    Hodgson AJ; Kelly N; Peel D
    PeerJ; 2023; 11():e16186. PubMed ID: 37941930
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Remotely Piloted Aircraft System (RPAS)-Based Wildlife Detection: A Review and Case Studies in Maritime Antarctica.
    Hyun CU; Park M; Lee WY
    Animals (Basel); 2020 Dec; 10(12):. PubMed ID: 33327472
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Estimating abundance of an open population with an N-mixture model using auxiliary data on animal movements.
    Ketz AC; Johnson TL; Monello RJ; Mack JA; George JL; Kraft BR; Wild MA; Hooten MB; Hobbs NT
    Ecol Appl; 2018 Apr; 28(3):816-825. PubMed ID: 29405475
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Flower Mapping in Grasslands With Drones and Deep Learning.
    Gallmann J; Schüpbach B; Jacot K; Albrecht M; Winizki J; Kirchgessner N; Aasen H
    Front Plant Sci; 2021; 12():774965. PubMed ID: 35222449
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Unmanned aerial vehicles for surveying marine fauna: assessing detection probability.
    Hodgson A; Peel D; Kelly N
    Ecol Appl; 2017 Jun; 27(4):1253-1267. PubMed ID: 28178755
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automated detection and enumeration of marine wildlife using unmanned aircraft systems (UAS) and thermal imagery.
    Seymour AC; Dale J; Hammill M; Halpin PN; Johnston DW
    Sci Rep; 2017 Mar; 7():45127. PubMed ID: 28338047
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Comparing N-mixture models and GLMMs for relative abundance estimation in a citizen science dataset.
    Goldstein BR; de Valpine P
    Sci Rep; 2022 Jul; 12(1):12276. PubMed ID: 35853908
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Using virtual reality and thermal imagery to improve statistical modelling of vulnerable and protected species.
    Leigh C; Heron G; Wilson E; Gregory T; Clifford S; Holloway J; McBain M; Gonzalez F; McGree J; Brown R; Mengersen K; Peterson EE
    PLoS One; 2019; 14(12):e0217809. PubMed ID: 31825957
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence Revolutionizing Wildlife Monitoring and Conservation.
    Gonzalez LF; Montes GA; Puig E; Johnson S; Mengersen K; Gaston KJ
    Sensors (Basel); 2016 Jan; 16(1):. PubMed ID: 26784196
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Google Haul Out: Earth Observation Imagery and Digital Aerial Surveys in Coastal Wildlife Management and Abundance Estimation.
    Moxley JH; Bogomolni A; Hammill MO; Moore KMT; Polito MJ; Sette L; Sharp WB; Waring GT; Gilbert JR; Halpin PN; Johnston DW
    Bioscience; 2017 Aug; 67(8):760-768. PubMed ID: 29599542
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Modeling abundance using N-mixture models: the importance of considering ecological mechanisms.
    Joseph LN; Elkin C; Martin TG; Possinghami HP
    Ecol Appl; 2009 Apr; 19(3):631-42. PubMed ID: 19425427
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A multispecies dependent double-observer model: A new method for estimating multispecies abundance.
    Golding JD; Nowak JJ; Dreitz VJ
    Ecol Evol; 2017 May; 7(10):3425-3435. PubMed ID: 28515878
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Unmanned aerial vehicles (UAVs) with thermal infrared (TIR) sensors are effective for monitoring and counting threatened Vietnamese primates.
    Gazagne E; Gray RJ; Ratajszczak R; Brotcorne F; Hambuckers A
    Primates; 2023 Jul; 64(4):407-413. PubMed ID: 37140752
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Protecting endangered megafauna through AI analysis of drone images in a low-connectivity setting: a case study from Namibia.
    Hua A; Martin K; Shen Y; Chen N; Mou C; Sterk M; Reinhard B; Reinhard FF; Lee S; Alibhai S; Jewell ZC
    PeerJ; 2022; 10():e13779. PubMed ID: 35942123
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Cluster capture-recapture to account for identification uncertainty on aerial surveys of animal populations.
    Stevenson BC; Borchers DL; Fewster RM
    Biometrics; 2019 Mar; 75(1):326-336. PubMed ID: 30298611
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Accounting for imperfect detection of groups and individuals when estimating abundance.
    Clement MJ; Converse SJ; Royle JA
    Ecol Evol; 2017 Sep; 7(18):7304-7310. PubMed ID: 28944018
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.