@article{scholars14615,
            year = {2021},
             doi = {10.3390/app11156969},
          volume = {11},
           title = {Generation of proton-and alpha-induced nuclear cross-section data via random forest algorithm: Production of radionuclide111in},
         journal = {Applied Sciences (Switzerland)},
          number = {15},
       publisher = {MDPI AG},
            note = {cited By 2},
          author = {Hamid, M. A. B. and Beh, H. G. and Oluwatobi, Y. A. and Chew, X. Y. and Ayub, S.},
            issn = {20763417},
        abstract = {We investigated the generation of proton-and alpha-induced nuclear cross-section data in the production of Indium-111 (111 In) for application in nuclear medicine. Here, we are interested in three reaction channels, which are109Ag ({\^I}{$\pm$}, 2n),111Cd (p, n) and112Cd (p, 2n), in the production of111 In. A random forest algorithm was used to generate nuclear cross-section data by using an experimental nuclear cross-section from the Experimental Nuclear Reaction Data (EXFOR) database as input. Hence, reasonably accurate regression curves of nuclear cross-section data could be produced with the evaluated nuclear data library ENDF/B-VII.0 set as the benchmark. {\^A}{\copyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111770634&doi=10.3390\%2fapp11156969&partnerID=40&md5=5dfac22d2cfc44727a1d84fb53ea83cb}
}