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Di-Muon cocktail reconstruction using Machine Learning technique in CBM experiment at FAIR
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The Role of Intelligent Data Analysis in Selected Endurance Sports: A Systematic Literature Review
Investigating the effect of hadronic models on IACT images
Benedetta Bruno, Rodrigo Guedes Lang, Luan Bonneau Arbeletche, Vitor de Souza and Stefan Funk Journal of Cosmology and Astroparticle Physics 2025(03) 024 (2025) https://doi.org/10.1088/1475-7516/2025/03/024
Novel experimental approach to uncover the nature of cosmic-ray deuterium
Predicting overbreak and underbreak in underground longhole stoping using meta-soft computing models
Sina Taheri, Erkan Topal, Hoang Nguyen, Hyongdoo Jang and Roohollah Shirani Faradonbeh Tunnelling and Underground Space Technology 164 106852 (2025) https://doi.org/10.1016/j.tust.2025.106852
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
Exploring optimal sensitivity of lepton flavor violating effective couplings at the
e+e−
colliders
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
Application of deep learning in top pair and single top quark production at the LHC
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
Andrew T.C. Sutton 57 (2023) https://doi.org/10.1007/978-3-031-43583-6_4
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
Robust Network Intrusion Detection System Based on Machine-Learning With Early Classification
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
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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