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Comprehensive review of different artificial intelligence-based methods for credit risk assessment in data science
V Amarnadh, NR Moparthi - Intelligent Decision …, 2023 - journals.sagepub.com
Credit risk is the critical problem faced by banking and financial sectors when the borrower
fails to complete their commitments to pay back. The factors that could increase credit risk …
fails to complete their commitments to pay back. The factors that could increase credit risk …
Deep learning for safety risk management in modular construction: Status, strengths, challenges, and future directions
Occupational health risks such as falls from height, electrocution, object strikes, mechanical
injuries, and collapses have plagued the construction industry. Deep learning algorithms are …
injuries, and collapses have plagued the construction industry. Deep learning algorithms are …
[HTML][HTML] Bi-directional information fusion-driven deep network for ship trajectory prediction in intelligent transportation systems
H Li, W ** the landscape: A systematic literature review on automated valuation models and strategic applications in real estate
A El Jaouhari, A Samadhiya, A Kumar… - International Journal of …, 2024 - jau.vgtu.lt
In the rapidly evolving real estate industry, integrating automated valuation models (AVMs)
has become critical for improving property assessment accuracy and transparency. Although …
has become critical for improving property assessment accuracy and transparency. Although …
[HTML][HTML] Classification of Hyperspectral Images of Explosive Fragments Based on Spatial–Spectral Combination
D Zhao, P Yu, F Guo, X Yang, Y Ma, C Wang, K Li… - Sensors, 2024 - mdpi.com
The identification and recovery of explosive fragments can provide a reference for the
evaluation of explosive power and the design of explosion-proof measures. At present …
evaluation of explosive power and the design of explosion-proof measures. At present …
The Data Analysis of Enterprise Operational Risk Prediction Under Machine Learning: Innovations and Improvements in Corporate Law Risk Management Strategies
Y Zhao - Journal of Organizational and End User Computing …, 2024 - igi-global.com
In the digital age, the financial sector faces increasingly severe risk management
challenges. Traditional methods often rely on historical data and statistical models, which …
challenges. Traditional methods often rely on historical data and statistical models, which …
Accurate detection of coronavirus cases using deep learning with attention mechanism and genetic algorithm
A Kara - Multimedia Tools and Applications, 2024 - Springer
The novel coronavirus disease has caused severe threats to the daily life and health of
people all over the world. Hence, early detection and timely treatment of this disease are …
people all over the world. Hence, early detection and timely treatment of this disease are …