Traction 发表于 2025-3-21 18:59:29
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Predicting Corporate Failure Using Ensemble Extreme Learning Machine performance on corporate failure task. In particular, we compare four benchmark ensemble methods (multiple classifiers, bagging, boosting, and random subspace) to evaluate which is best suited for extreme learning machine. Experimental results on French firms indicated that bagged and boosted extreOGLE 发表于 2025-3-22 02:55:51
Assessing and Predicting Small Enterprises’ Credit Ratings: A Multicriteria Approachher with fuzzy C-means to grade the credit ratings of enterprises requesting loans. The standard discrimination and ROC curve dual tests resulted in the prediction accuracy of the standard indicator system reaching 85.40 percent and 90.09 percent, respectively, indicating the strong default discrimi压迫 发表于 2025-3-22 05:49:33
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Discovering the Role of M-Learning Among Finance Students: The Future of Online Education. Only the students of Finance were the participants which may affect the generalizability. The study presents significant implications for education policymakers and practitioners. The study fills the gap in the current literature by discovering the role of m-learning in the online educational sett完成才能战胜 发表于 2025-3-22 17:07:16
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Mahmudul Hasan,Ushna Das,Rony Kumar Datta,Mohammad Zoynul Abedinh he was that, too — but fulfilling a unique, practical and necessary function. This is, of course, the burden of Wentworth’s much-quoted speech at the end of 1628 to the Council of the North, a more or less eloquent expression of a view that must have been a commonplace to his hearers.光亮 发表于 2025-3-23 02:54:05
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Sad Wadi Sajid,Mahmudul Hasan,Md. Fazle Rabbi,Mohammad Zoynul Abedinacent fields of civil, industrial, and manufacturing engineering. Concise, practical, and easy to understand — this textbook is the ideal accompaniment to any introductory engineering course..978-3-031-62939-6978-3-031-62937-2