Towards a Framework for Supply Chain Financing for Order-Level Risk Prediction: An Innovative Stacked A-GRU Based Technique
- Title
- Towards a Framework for Supply Chain Financing for Order-Level Risk Prediction: An Innovative Stacked A-GRU Based Technique
- Creator
- Amarnath Reddy B.; Vinesh Kumar G.; Dhiliphan Kumar M.; Veena S.; Chauhan A.; Anwer Basha H.
- Description
- Order financing is changing the game in the banking and financial supply chain industry. It's great for SMEs and opens up new revenue streams for logistics and finance companies. But in order to find the weak spots offered by banks and other financial institutions, companies need to undertake thorough risk assessments right now. Careful timing is crucial for training the model, extracting features, and preprocessing. Outlier identification and missing value handling are the first steps in preprocessing, which also includes normalization and standardization to improve data integrity and reduce unit discrepancies. Principal component analysis makes use of multivariate statistics to aid in feature extraction, guaranteeing effective data representation. Careful consideration of every detail is required during the training of a Stacked-A-GRU model, which follows attribute selection. Impressively outperforming state-of-the-art algorithms SAFE and GRU, the suggested solution achieves a remarkable correctness rating of 97.34%, indicating notable progress in predicting accuracy. 2024 IEEE.
- Source
- 1st International Conference on Electronics, Computing, Communication and Control Technology, ICECCC 2024
- Date
- 2024-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Gated Recurrent Unit (GRU); Stacked Autoencoder Feature Extraction (SAFE); Supply Chain Finance
- Coverage
- Amarnath Reddy B., Vignana Jyothi Institute of Management, Department of Finance, Telangana, Hyderabad, India; Vinesh Kumar G., Vardhaman College of Engineering, Department of Management Studies, Telangana, Hyderabad, India; Dhiliphan Kumar M., Deemed University, Business Administration, Kalasalingam Academy of Research and Education, Virudhunagar, India; Veena S., Deemed University, Business Administration, Kalasalingam Academy of Research and Education, Virudhunagar, India; Chauhan A., School of sciences, CHRIST (Deemed to be university), Department of life sciences, Karnataka, Bengaluru, India; Anwer Basha H., Saveetha College of Liberal Arts and Sciences, Saveetha Institute of Medical and Technical Sciences, Department of Computer Science, Chennai, India
- Rights
- Restricted Access
- Relation
- ISBN: 979-835037180-2
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Amarnath Reddy B.; Vinesh Kumar G.; Dhiliphan Kumar M.; Veena S.; Chauhan A.; Anwer Basha H., “Towards a Framework for Supply Chain Financing for Order-Level Risk Prediction: An Innovative Stacked A-GRU Based Technique,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 26, 2025, https://archives.christuniversity.in/items/show/19293.