Bankruptcy forecasting in enterprises and its security using hybrid deep learning models
In current scenario when economic and risk management sectors need accurate predictions of enterprise bankruptcy, it is very importance issue to research in the field of security of enterprise bankruptcy. In this context, we propose an hybrid deep learning model through the use of convolutional neur...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2025-12-01
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| Series: | Cyber Security and Applications |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772918424000365 |
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| author | Akshat Gaurav Brij B. Gupta Shavi Bansal Konstantinos E. Psannis |
| author_facet | Akshat Gaurav Brij B. Gupta Shavi Bansal Konstantinos E. Psannis |
| author_sort | Akshat Gaurav |
| collection | DOAJ |
| description | In current scenario when economic and risk management sectors need accurate predictions of enterprise bankruptcy, it is very importance issue to research in the field of security of enterprise bankruptcy. In this context, we propose an hybrid deep learning model through the use of convolutional neural network to enhance bankruptcy forecasting models. We address the high-dimensional data and imbalanced problems by introducing feature selection strategically and Synthetic Minority Over-sampling Technique (SMOTE). In a comparative evaluation, the performance of our model is over 81 %, which is better than that for Logistic Regression and Support Vector Machines. This leap in accuracy demonstrates the cutting edge unprecedented ability of our model to decrypt complex financial patterns and establishes a new precedent for deep learning applications in the nuanced field of financial analytics. |
| format | Article |
| id | doaj-art-67a7f44599834bed8a382cb239b76a14 |
| institution | Kabale University |
| issn | 2772-9184 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Cyber Security and Applications |
| spelling | doaj-art-67a7f44599834bed8a382cb239b76a142025-01-04T04:57:26ZengKeAi Communications Co., Ltd.Cyber Security and Applications2772-91842025-12-013100070Bankruptcy forecasting in enterprises and its security using hybrid deep learning modelsAkshat Gaurav0Brij B. Gupta1Shavi Bansal2Konstantinos E. Psannis3Ronin Institute, Montclair, NJ, USA; Corresponding author.Department of Computer Science and Information Engineering, Asia University, Taichung 413, Taiwan, China; Symbiosis Centre for Information Technology (SCIT), Symbiosis International University, Pune, India; Center for Interdisciplinary Research, University of Petroleum and Energy Studies (UPES), Dehradun, India; Corresponding author at: Department of Computer Science and Information Engineering, Asia University, Taichung 413, Taiwan, China.Insights2Techinfo, India; UCRD, Chandigarh University, Chandigarh, IndiaUniversity of Macedonia, GreeceIn current scenario when economic and risk management sectors need accurate predictions of enterprise bankruptcy, it is very importance issue to research in the field of security of enterprise bankruptcy. In this context, we propose an hybrid deep learning model through the use of convolutional neural network to enhance bankruptcy forecasting models. We address the high-dimensional data and imbalanced problems by introducing feature selection strategically and Synthetic Minority Over-sampling Technique (SMOTE). In a comparative evaluation, the performance of our model is over 81 %, which is better than that for Logistic Regression and Support Vector Machines. This leap in accuracy demonstrates the cutting edge unprecedented ability of our model to decrypt complex financial patterns and establishes a new precedent for deep learning applications in the nuanced field of financial analytics.http://www.sciencedirect.com/science/article/pii/S2772918424000365Bankruptcy predictionDeep learningConvolutional neural networks (CNN)SMOTEFinancial risk management |
| spellingShingle | Akshat Gaurav Brij B. Gupta Shavi Bansal Konstantinos E. Psannis Bankruptcy forecasting in enterprises and its security using hybrid deep learning models Cyber Security and Applications Bankruptcy prediction Deep learning Convolutional neural networks (CNN) SMOTE Financial risk management |
| title | Bankruptcy forecasting in enterprises and its security using hybrid deep learning models |
| title_full | Bankruptcy forecasting in enterprises and its security using hybrid deep learning models |
| title_fullStr | Bankruptcy forecasting in enterprises and its security using hybrid deep learning models |
| title_full_unstemmed | Bankruptcy forecasting in enterprises and its security using hybrid deep learning models |
| title_short | Bankruptcy forecasting in enterprises and its security using hybrid deep learning models |
| title_sort | bankruptcy forecasting in enterprises and its security using hybrid deep learning models |
| topic | Bankruptcy prediction Deep learning Convolutional neural networks (CNN) SMOTE Financial risk management |
| url | http://www.sciencedirect.com/science/article/pii/S2772918424000365 |
| work_keys_str_mv | AT akshatgaurav bankruptcyforecastinginenterprisesanditssecurityusinghybriddeeplearningmodels AT brijbgupta bankruptcyforecastinginenterprisesanditssecurityusinghybriddeeplearningmodels AT shavibansal bankruptcyforecastinginenterprisesanditssecurityusinghybriddeeplearningmodels AT konstantinosepsannis bankruptcyforecastinginenterprisesanditssecurityusinghybriddeeplearningmodels |