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Results: 57,958
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  • Fisher, W., Jackson, B., Camp, T., & Krzhizhanovskaya, V. V. (2017). Anomaly detection in earth dam and levee passive seismic data using multivariate Gaussian. In X. Chen, B. Luo, F. Luo, V. Palade, & M. A. Wani (Eds.), ICMLA 2017 : 16th IEEE International Conference on Machine Learning and Applications: proceedings : 18-21 December 2017, Cancun, Mexico (pp. 685-690). IEEE Computer Society. https://doi.org/10.1109/ICMLA.2017.00-81
  • Rammelt, C. F., & Leung, M. W. H. (2017). Tracing the Causal Loops Through Local Perceptions of Rural Road Impacts in Ethiopia. World Development, 95, 1-14. https://doi.org/10.1016/j.worlddev.2017.02.024
  • Patti, A., Sacanna, S., & Velikov, K. (2017). Patchy colloidal particles. Current Opinion in Colloid & Interface Science, 30, A1-A3. https://doi.org/10.1016/j.cocis.2017.07.001
  • Lameira, A. R., Vicente, R., Alexandre, A., Campbell-Smith, G., Knott, C., Wich, S., & Hardus, M. E. (2017). Proto-consonants were information-dense via identical bioacoustic tags to proto-vowels. Nature Human Behaviour, 1(2), Article 0044. https://doi.org/10.1038/s41562-017-0044
  • Longmore, S. N., Collins, R. P., Pfeifer, S., Fox, S. E., Mulero-Pázmány, M., Bezombes, F., Goodwin, A., De Juan Ovelar, M., Knapen, J. H., & Wich, S. A. (2017). Adapting astronomical source detection software to help detect animals in thermal images obtained by unmanned aerial systems. International Journal of Remote Sensing, 38(8-10), 2623-2638. https://doi.org/10.1080/01431161.2017.1280639
  • Wich, S., Scott, L., & Koh, L. P. (2017). Wings for wildlife: The use of conservation drones, challenges and opportunities. In K. B. Sandvik, & M. G. Jumbert (Eds.), Drones for Good (pp. 153-167). (Emerging technologies, ethics and international affairs). Routledge. https://doi.org/10.4324/9781315553405
  • Kretser, H., Stokes, E., Wich, S., Foran, D., & Montefiore, A. (2017). Technological Innovations Supporting Wildlife Crime Detection, Deterrence, and Enforcement. In M. L. Gore (Ed.), Conservation Criminology (pp. 157-178). Wiley Blackwell. https://doi.org/10.1002/9781119376866.ch9
  • Salcedo-Sanz, S., Muñoz-Bulnes, J., & Vermeij, M. J. A. (2017). New coral reefs-based approaches for the model type selection problem: A novel method to predict a nation's future energy demand. International Journal of Bio-Inspired Computation, 10(3), 145-158. https://doi.org/10.1504/IJBIC.2017.086698
  • Lapinlampi, N., Melin, E., Aronica, E., Bankstahl, J. P., Becker, A., Bernard, C., Gorter, J. A., Gröhn, O., Lipsanen, A., Lukasiuk, K., Löscher, W., Paananen, J., Ravizza, T., Roncon, P., Simonato, M., Vezzani, A., Kokaia, M., & Pitkänen, A. (2017). Common data elements and data management: Remedy to cure underpowered preclinical studies. Epilepsy Research, 129, 87-90. https://doi.org/10.1016/j.eplepsyres.2016.11.010
  • Anggoro, D. T., Tark-Dame, M., Walmsley, A., Oka, R., de Sain, M., & Stam, M. (2017). BIBAC-GW-based vectors for generating reporter lines for site-specific genome editing in planta. Plasmid, 89, 27-36. https://doi.org/10.1016/j.plasmid.2016.12.002
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