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A machine learning-based simplified collision model for granular flows
Wojciech Adamczyk, Agata Widuch, Pawel Morkisz, Minmin Zhou, Kari Myöhänen, Adam Klimanek and Sebastian Pawlak Powder Technology 444 120006 (2024) https://doi.org/10.1016/j.powtec.2024.120006
Exploring optimal sensitivity of lepton flavor violating effective couplings at the
e+e−
colliders
Redefining structural soundness in concrete constructions: A groundbreaking technique for water–cement ratio assessment in sustainable building integrated with explainable artificial intelligence
Mahmud M. Jibril, Umar Jibrin Muhammad, Musa Adamu, Yasser E. Ibrahim and Mishal H. Aljarbou AIP Advances 14(6) (2024) https://doi.org/10.1063/5.0203867
Search for the rare hadronic decay
Bs0→pp¯
R. Aaij, A. S. W. Abdelmotteleb, C. Abellan Beteta, F. Abudinén, T. Ackernley, B. Adeva, M. Adinolfi, H. Afsharnia, C. Agapopoulou, C. A. Aidala, S. Aiola, Z. Ajaltouni, S. Akar, K. Akiba, J. Albrecht, F. Alessio, M. Alexander, A. Alfonso Albero, Z. Aliouche, P. Alvarez Cartelle, S. Amato, J. L. Amey, Y. Amhis, L. An, L. Anderlini, et al. Physical Review D 108(1) (2023) https://doi.org/10.1103/PhysRevD.108.012007
A Comprehensive Survey for IoT Security Datasets Taxonomy, Classification and Machine Learning Mechanisms
Boosted decision trees in the era of new physics: a smuon analysis case study
Alan S. Cornell, Wesley Doorsamy, Benjamin Fuks, Gerhard Harmsen and Lara Mason Journal of High Energy Physics 2022(4) (2022) https://doi.org/10.1007/JHEP04(2022)015
Real-time network intrusion detection using deferred decision and hybrid classifier
L. N. Machado, K. Abe, Y. Hayato, K. Hiraide, K. Ieki, M. Ikeda, J. Kameda, Y. Kanemura, R. Kaneshima, Y. Kashiwagi, Y. Kataoka, S. Miki, S. Mine, M. Miura, S. Moriyama, Y. Nakano, M. Nakahata, S. Nakayama, Y. Noguchi, K. Okamoto, K. Sato, H. Sekiya, H. Shiba, K. Shimizu, M. Shiozawa, et al. The Astrophysical Journal 935(1) 40 (2022) https://doi.org/10.3847/1538-4357/ac7f9c
Jose Tupayachi and Luciano Silva 391 33 (2022) https://doi.org/10.1007/978-3-031-06862-1_3
Investigation of Eye-Tracking Scan Path as a Biomarker for Autism Screening Using Machine Learning Algorithms
Constraints on effective field theory couplings using 311.2 days of LUX data
D. S. Akerib, S. Alsum, H. M. Araújo, X. Bai, J. Balajthy, J. Bang, A. Baxter, E. P. Bernard, A. Bernstein, T. P. Biesiadzinski, E. M. Boulton, B. Boxer, P. Brás, S. Burdin, D. Byram, M. C. Carmona-Benitez, C. Chan, J. E. Cutter, L. de Viveiros, E. Druszkiewicz, A. Fan, S. Fiorucci, R. J. Gaitskell, C. Ghag, M. G. D. Gilchriese, et al. Physical Review D 104(6) (2021) https://doi.org/10.1103/PhysRevD.104.062005
Investigating the application of artificial intelligence for earthquake prediction in Terengganu