2021
Arias, S. A., Moreno-Ger, P., & Verdu, E. (2021). Hierarchical Clustering to Identify Emotional Human Behavior in Online Classes: The Teacher’s Point of View. In Lecture Notes in Networks and Systems (Vol. 186). https://doi.org/10.1007/978-3-030-66093-2_26
Perez, E. V. (2021). Foreword. In EAI/Springer Innovations in Communication and Computing.
Pasupathi, S., Vimal, S., Harold-Robinson, Y., Khari, M., Verdú, E., & Crespo, R. G. (2021). Energy efficiency maximization algorithm for underwater Mobile sensor networks. Earth Science Informatics, 14(1), 215–225. https://doi.org/10.1007/s12145-020-00478-1
Jorba-Cuscó, M., & Epenoy, R. (2021). Low-fuel transfers from Mars to quasi-satellite orbits around Phobos exploiting manifolds of tori. Celestial Mechanics and Dynamical Astronomy, 133(5). https://doi.org/10.1007/s10569-021-10017-9
Ibrahim, W. N. H., Anuar, S., Selamat, A., Krejcar, O., Gonzalez Crespo, R., Herrera-Viedma, E., & Fujita, H. (2021). Multilayer Framework for Botnet Detection Using Machine Learning Algorithms. IEEE Access, 9, 48753–48768. https://doi.org/10.1109/ACCESS.2021.3060778
Khattak, M. I., Al-Hasan, M., Jan, A., Saleem, N., Verdú, E., & Khurshid, N. (2021). Automated detection of covid-19 using chest x-ray images and ct scans through multilayer-spatial convolutional neural networks. International Journal of Interactive Multimedia and Artificial Intelligence, 6(6), 15–24. https://doi.org/10.9781/ijimai.2021.04.002
Ceron, J., Baldiris, S., Quintero, J., Garcia, R. R., Saldarriaga, G. L. V., Graf, S., & Fuente Valentin, L. D. L. (2021). Self-Regulated Learning in Massive Online Open Courses: A State-of-the-Art Review. IEEE Access, 9, 511–528. https://doi.org/10.1109/ACCESS.2020.3045913
Cervantes-Pérez, F., Navarro-Perales, J., Franzoni-Velázquez, A. L., & de la Fuente-Valentín, L. (2021). Bayesian knowledge tracing for navigation through marzano’s taxonomy. International Journal of Interactive Multimedia and Artificial Intelligence, 6(6), 234–239. https://doi.org/10.9781/ijimai.2021.05.006
Hahn, M. G., Navarro, S. M. B., De La Fuente Valentin, L., & Burgos, D. (2021). A systematic review of the effects of automatic scoring and automatic feedback in educational settings. IEEE Access, 9, 108190–108198. https://doi.org/10.1109/ACCESS.2021.3100890
Agudelo, O. E. A., Marín, C. E. M., & Crespo, R. G. (2021). Correction to: Sound measurement and automatic vehicle classification and counting applied to road traffic noise characterization (Soft Computing, (2021), 25, 18, (12075-12087), 10.1007/s00500-021-05766-6). Soft Computing, 25(18), 12089. https://doi.org/10.1007/s00500-021-05852-9
Gaset, J. (2021). A Contact Geometry Approach to Symmetries in Systems with Dissipation. In Trends in Mathematics (Vol. 15). https://doi.org/10.1007/978-3-030-84800-2_12
Rajinikanth, V., Kadry, S., Crespo, R. G., & Verdú, E. (2021). A study on RGB image multi-thresholding using Kapur/Tsallis entropy and moth-flame algorithm. International Journal of Interactive Multimedia and Artificial Intelligence, 7(2), 163–171. https://doi.org/10.9781/ijimai.2021.11.008
Martínez-Navarro, Á., Verdú, E., & Moreno-Ger, P. (2021). Mining Pre-Grade Academic and Demographic Data to Predict University Dropout. In Lecture Notes in Educational Technology. https://doi.org/10.1007/978-981-16-3941-8_11
Bareño-Gutiérrez, R., Sevillano, A. M. L., Díaz-Piraquive, F. N., & González-Crespo, R. (2021). Analysis of WEB Browsers of HSTS Security Under the MITM Management Environment. In Communications in Computer and Information Science (Vol. 1438). https://doi.org/10.1007/978-3-030-81635-3_27
Gaset, J., & Román-Roy, N. (2021). Multisymplectic Lagrangian Models in Gravitation. In Trends in Mathematics (Vol. 15). https://doi.org/10.1007/978-3-030-84800-2_3
Kamal, M. S., Northcote, A., Chowdhury, L., Dey, N., Crespo, R. G., & Herrera-Viedma, E. (2021). Alzheimer’s Patient Analysis Using Image and Gene Expression Data and Explainable-AI to Present Associated Genes. IEEE Transactions on Instrumentation and Measurement, 70. https://doi.org/10.1109/TIM.2021.3107056
Valencia, X. P. B. (2021). Editor’s note. International Journal of Interactive Multimedia and Artificial Intelligence, 7(2), 4–5. https://doi.org/10.9781/ijimai.2020.11.010
Herrera, F., Niño, R., Montenegro-Marín, C. E., Gaona-García, P. A., de Mendívil, I. S. M., & Crespo, R. G. (2021). Computational method for monitoring pauses exercises in office workers through a vision model. Journal of Ambient Intelligence and Humanized Computing, 12(3), 3389–3397. https://doi.org/10.1007/s12652-020-02391-3
Gupta, N., Gupta, S., Khosravy, M., Dey, N., Joshi, N., Crespo, R. G., & Patel, N. (2021). Economic IoT strategy: the future technology for health monitoring and diagnostic of agriculture vehicles. Journal of Intelligent Manufacturing, 32(4), 1117–1128. https://doi.org/10.1007/s10845-020-01610-0
Verdu, E., Nieto, Y. V., & Saleem, N. (2021). Call for Special Issue Papers: Cloud Computing and Big Data for Cognitive IoT. Big Data, 9(6), 413–414. https://doi.org/10.1089/big.2021.29048.cfp
Díez Platas, M. L., Ros Muñoz, S., González-Blanco, E., Ruiz Fabo, P., & Álvarez Mellado, E. (2021). Medieval Spanish (12th–15th centuries) named entity recognition and attribute annotation system based on contextual information. Journal of the Association for Information Science and Technology, 72(2), 224–238. https://doi.org/10.1002/asi.24399
de León, M., Gaset, J., Laínz, M., Muñoz-Lecanda, M. C., & Román-Roy, N. (2021). Higher-order contact mechanics. Annals of Physics, 425. https://doi.org/10.1016/j.aop.2021.168396
Gupta, M., Jain, R., Taneja, S., Chaudhary, G., Khari, M., & Verdú, E. (2021). Real-time measurement of the uncertain epidemiological appearances of COVID-19 infections. Applied Soft Computing, 101. https://doi.org/10.1016/j.asoc.2020.107039
Rosales, J. J., Jorba, À., & Jorba-Cuscó, M. (2021). Families of Halo-like invariant tori around L<inf>2</inf> in the Earth-Moon Bicircular Problem. Celestial Mechanics and Dynamical Astronomy, 133(4). https://doi.org/10.1007/s10569-021-10012-0
Casado-Vara, R., del Rey, A. M., Pérez-Palau, D., De-La-fuente-valentín, L., & Corchado, J. M. (2021). Article web traffic time series forecasting using LSTM neural networks with distributed asynchronous training. Mathematics, 9(4), 1–22. https://doi.org/10.3390/math9040421
Bernal, A. E., Monterrubio, S. M. M., Fuente, J. P., Crespo, R. G., & Verdu, E. (2021). Methodology for computer security incident response teams into IoT strategy. KSII Transactions on Internet and Information Systems, 15(5), 1909–1928. https://doi.org/10.3837/tiis.2021.05.018
Gaset, J., Gràcia, X., Muñoz-Lecanda, M. C., Rivas, X., & Román-Roy, N. (2021). A K-contact Lagrangian formulation for nonconservative field theories. Reports on Mathematical Physics, 87(3), 347–368. https://doi.org/10.1016/S0034-4877(21)00041-0
Jorba-Cuscó, M., Farrés, A., & Jorba, À. (2021). On the stabilizing effect of Solar Radiation Pressure in the Earth-Moon system. Advances in Space Research, 67(9), 2812–2822. https://doi.org/10.1016/j.asr.2020.01.017
Akhlaghi, M., Infante-Sainz, R., Roukema, B. F., Khellat, M., Valls-Gabaud, D., & Baena-Galle, R. (2021). Toward Long-Term and Archivable Reproducibility. Computing in Science and Engineering, 23(3), 82–91. https://doi.org/10.1109/MCSE.2021.3072860
Álvarez-Mellado, E., Díez-Platas, M. L., Ruiz-Fabo, P., Bermúdez, H., Ros, S., & González-Blanco, E. (2021). TEI-friendly annotation scheme for medieval named entities: a case on a Spanish medieval corpus. Language Resources and Evaluation, 55(2), 525–549. https://doi.org/10.1007/s10579-020-09516-2
Liu, X.-X., Fong, S. J., Dey, N., Crespo, R. G., & Herrera-Viedma, E. (2021). A new SEAIRD pandemic prediction model with clinical and epidemiological data analysis on COVID-19 outbreak. Applied Intelligence, 51(7), 4162–4198. https://doi.org/10.1007/s10489-020-01938-3
Murillo, M. F. M., Murillo, W. A. M., Hinojosa, L. X. O., Aleaga, A. M. L., Uve, G. E. C., Cuscó, M. J., & Pandey, D. (2021). An efficient route design for solid waste collection using graph theory and the algorithm of the traveling agent in dynamic programming. Environmental Monitoring and Assessment, 193(5). https://doi.org/10.1007/s10661-021-09003-3
Khosravy, M., Cabral, T. W., Luiz, M. M., Gupta, N., & Crespo, R. G. (2021). Random acquisition in compressive sensing: A comprehensive overview. International Journal of Ambient Computing and Intelligence, 12(3), 140–165. https://doi.org/10.4018/IJACI.2021070107
Pillai, M. S., Chaudhary, G., Khari, M., & Crespo, R. G. (2021). Real-time image enhancement for an automatic automobile accident detection through CCTV using deep learning. Soft Computing, 25(18), 11929–11940. https://doi.org/10.1007/s00500-021-05576-w
Argyros, M., Argyros, I. K., González, D., Magreñán, Á. A., Moysi, A., & Sarría, Í. (2021). Ball comparison between frozen Potra and Schmidt–Schwetlick schemes with dynamical analysis. Computational and Mathematical Methods, 3(6). https://doi.org/10.1002/cmm4.1186
Wu, Q., Dey, N., Shi, F., Crespo, R. G., & Sherratt, R. S. (2021). Emotion classification on eye-tracking and electroencephalograph fused signals employing deep gradient neural networks. Applied Soft Computing, 110. https://doi.org/10.1016/j.asoc.2021.107752
Sanz-Prieto, I., de-la-fuente-Valentín, L., & Ríos-Aguilar, S. (2021). Technical due diligence as a methodology for assessing risks in start-up ecosystems: An advanced approach. Information Processing and Management, 58(5). https://doi.org/10.1016/j.ipm.2021.102617
Martinez Monterrubio, S. M., Noain-Sánchez, A., Verdú Pérez, E., & González Crespo, R. (2021). Coronavirus fake news detection via MedOSINT check in health care official bulletins with CBR explanation: The way to find the real information source through OSINT, the verifier tool for official journals. Information Sciences, 574, 210–237. https://doi.org/10.1016/j.ins.2021.05.074
Agudelo, O. E. A., Marín, C. E. M., & Crespo, R. G. (2021). Sound measurement and automatic vehicle classification and counting applied to road traffic noise characterization. Soft Computing, 25(18), 12075–12087. https://doi.org/10.1007/s00500-021-05766-6
Kaur, S., Chaudhary, G., Srivastava, S., Khari, M., Crespo, R. G., & Kumar, J. D. (2021). Exploiting feature space using overlapping windows for improving biometric recognition. Computers and Electrical Engineering, 96. https://doi.org/10.1016/j.compeleceng.2021.107552
Chaudhary, G., Lamba, P. S., Jolly, H. S., Poply, S., Khari, M., & Verdú, E. (2021). Predictive text analysis using eye blinks. Computers and Electrical Engineering, 96. https://doi.org/10.1016/j.compeleceng.2021.107554
Rosales, J. J., Jorba, À., & Jorba-Cuscó, M. (2021). Transfers from the Earth to L<inf>2</inf> Halo orbits in the Earth–Moon bicircular problem. Celestial Mechanics and Dynamical Astronomy, 133(11–12). https://doi.org/10.1007/s10569-021-10054-4