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Reformulation and exact solution method for seru scheduling problem with learning effect and job deterioration., , , и . Int. J. Appl. Decis. Sci., 16 (5): 613-645 (2023)Topology-enhanced machine learning model (Top-ML) for anticancer peptide prediction., , , и . CoRR, (2024)How Macroeconomic Factors and International Prices Affect Agriculture Prices Volatility?-Evidence from GARCH-X Model., и . TES, том 251 из Advances in Intelligent Systems and Computing, стр. 491-504. Springer, (2014)Co-movement of Prices of Energy and Agricultural Commodities in Biofuel Era: A Period-GARCH Copula Approach., и . TES, том 251 из Advances in Intelligent Systems and Computing, стр. 505-519. Springer, (2014)The zoomorphic effect: A contribution to the study of images of pedagogical agents for children's learning in instructional videos., , , и . J. Comput. Assist. Learn., 39 (5): 1620-1635 (октября 2023)Disease Prediction Power and Stability of Differential Expressed Genes., , , , , , и . BMEI (1), стр. 265-268. IEEE Computer Society, (2008)Carbon futures return forecasting: A novel method based on decomposition-ensemble strategy and Markov process., , , и . Appl. Soft Comput., (2024)DAA: Dual LSTMs with adaptive attention for image captioning., , , , , и . Neurocomputing, (2019)Investigating microRNA-transcription factor mediated regulatory network in glioblastoma., , и . BIBM Workshops, стр. 258-263. IEEE, (2010)RETRACTED ARTICLE: A nonanticipatory policy for stochastic seru scheduling problems., , , , , и . J. Oper. Res. Soc., (сентября 2024)