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Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms
Published 2025-12-01“…Similarly, Zhou et al. (2020) utilized semi-supervised machine learning algorithms to classify operational risks based on financial news, analyzing 5,843 documents from financial articles and newspapers in the Asia-Pacific region between February and March 2019. …”
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Determination of Nusselt Nu mber of Herschel Bulkley Nanofluids by Using CMA-ES Algorithm
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PARTIAL TRAINING METHOD FOR HEURISTIC ALGORITHM OF POSSIBLE CLUSTERIZATION UNDER UNKNOWN NUMBER OF CLASSES
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Research for WSN routing algorithm based on novel multi-level minimal dominating clustering
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ALGORITHM FOR complex SMOKE AND FLAME detection based on video surveillance systems data analysis
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The Flexible Multiple Access Control Algorithm in 5th Generation Mobile Wireless System
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Correction algorithm for combination frame of layer topology of VERY-LarGE-scale INTegration
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CONVERGENCE RATE OF THE PHAM DINH-L E THI'S ALGORITHM FOR THE TRUST-REGION SUBPROBLEM
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Nonlinear Blind Source Separation Algorithm Using Glowworm Swarm Optimization with Baffle Effect
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A weighted algorithm to solve the conformable time fractional reaction-diffusion-convection problem
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Genetic algorithm-tabu search for mobile agents measurement scheduling in wireless sensor networks
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