INSOLVENCY PREDICTION OF AUSTRALIAN CONSTRUCTION COMPANIES USING DEEP LEARNING WITH BIDIRECTIONAL LSTM AUTOENCODER
Business insolvency in the building and construction industry is a major concern on a worldwide scale, and it is particularly pervasive in the Australian construction industry. Many Australian construction companies frequently uses high levels of borrowing and poor profit margins, which increases th...
| Main Authors: | Bu, Lishan, Wang, Shaoli, Lin, Gang, Xu, Honglei |
|---|---|
| Format: | Journal Article |
| Published: |
2024
|
| Online Access: | http://purl.org/au-research/grants/arc/LP160100528 http://hdl.handle.net/20.500.11937/96302 |
Similar Items
Anomaly detection with Attention-based deep autoencoder
by: Yong, Hong Long
Published: (2022)
by: Yong, Hong Long
Published: (2022)
An automatic grading model for semantic complexity of english texts using bidirectional attention-based autoencoder
by: Chen, Ruo Han, et al.
Published: (2024)
by: Chen, Ruo Han, et al.
Published: (2024)
Application of deep autoencoder model for structural condition monitoring
by: Pathirage, C., et al.
Published: (2018)
by: Pathirage, C., et al.
Published: (2018)
A deep contractive autoencoder for solving multiclass classification problems
by: Aamir, Muhammad, et al.
Published: (2020)
by: Aamir, Muhammad, et al.
Published: (2020)
Structural damage identification based on autoencoder neural networks and deep learning
by: Pathirage, C., et al.
Published: (2018)
by: Pathirage, C., et al.
Published: (2018)
Intrusion detection system using autoencoder based deep neural network for SME cybersecurity
by: Khaizuran Aqhar, Ubaidillah, et al.
Published: (2021)
by: Khaizuran Aqhar, Ubaidillah, et al.
Published: (2021)
Development and application of a deep learning–based sparse autoencoder framework for structural damage identification
by: Pathirage, C., et al.
Published: (2019)
by: Pathirage, C., et al.
Published: (2019)
Air Quality Prediction Using RNN and LSTM
by: Keerthana, G., et al.
Published: (2024)
by: Keerthana, G., et al.
Published: (2024)
Sign language recognition using deep learning through LSTM and CNN
by: Kiran, Pandian, et al.
Published: (2023)
by: Kiran, Pandian, et al.
Published: (2023)
A novel BiGRUBiLSTM model for Multilevel Sentiment Analysis Using Deep Neural Network with BiGRU-BiLSTM
by: Islam, Md Shofiqul, et al.
Published: (2021)
by: Islam, Md Shofiqul, et al.
Published: (2021)
An Investigation of Bank Insolvencies: Can they be predicted before failure?
by: shankarram, Deeptha
Published: (2009)
by: shankarram, Deeptha
Published: (2009)
Navigating Uncertainty: A Framework for Optimising Public Transport Networks’ Performance
by: Lin, Gang, et al.
Published: (2024)
by: Lin, Gang, et al.
Published: (2024)
Rainfall Prediction in Palembang City Using the GRU and LSTM Methods
by: Surta, Wijaya, et al.
Published: (2023)
by: Surta, Wijaya, et al.
Published: (2023)
A hybrid Transformer-LSTM model apply to glucose prediction
by: Bian, QingXiang, et al.
Published: (2024)
by: Bian, QingXiang, et al.
Published: (2024)
Residual Gratings Removal In Moiré Pattern Using Autoencoder
by: Nga, Eng Fon
Published: (2021)
by: Nga, Eng Fon
Published: (2021)
Evaluating performance of public transport networks by using public transport criteria matrix analytic hierarchy process models—case study of stonnington, bayswater, and cockburn public transport network
by: Lin, Gang, et al.
Published: (2021)
by: Lin, Gang, et al.
Published: (2021)
Determinants of post-bankruptcy performance : an empirical study of insolvent companies in Thailand
by: Chitnomrath, Thanida
Published: (2007)
by: Chitnomrath, Thanida
Published: (2007)
Optimising LSTM and BiLSTM models for time series forecasting through hyperparameter tuning
by: Nur Haizum, Abd Rahman, et al.
Published: (2025)
by: Nur Haizum, Abd Rahman, et al.
Published: (2025)
Reconstruction of handwritten digit images using autoencoder neural networks
by: C. C., Tan, et al.
Published: (2008)
by: C. C., Tan, et al.
Published: (2008)
Abnormal Event Detection in Surveillance Videos Using Spatiotemporal Autoencoder
by: Chong, Yong Shean
Published: (2019)
by: Chong, Yong Shean
Published: (2019)
Liabilities of directors under Malaysian insolvency
laws and recovery of assets during corporate
insolvency
by: Aishah Bidin,
Published: (2004)
by: Aishah Bidin,
Published: (2004)
Australian employee entitlements in the event of insolvency: Is an insurance scheme an effective protective measure?
by: Bhadily, Mohammed, et al.
Published: (2016)
by: Bhadily, Mohammed, et al.
Published: (2016)
Integrated deep learning for cardiovascular risk assessment and diagnosis: An evolutionary mating algorithm-enhanced CNN-LSTM
by: Ahmed Alsarori, Ahmed Mohammed, et al.
Published: (2025)
by: Ahmed Alsarori, Ahmed Mohammed, et al.
Published: (2025)
Stock Trend Prediction Using LSTM with MA, EMA, MACD and RSI Indicators
by: Chan, Kah Him, et al.
Published: (2023)
by: Chan, Kah Him, et al.
Published: (2023)
The impact of insolvency on corporate contracts: a comparative study of the UK and US insolvency law regimes
by: Udofia, Kubianga Michael
Published: (2014)
by: Udofia, Kubianga Michael
Published: (2014)
Real-time human action recognition using stacked sparse autoencoders
by: Farooq, Adnan, et al.
Published: (2018)
by: Farooq, Adnan, et al.
Published: (2018)
INSOL Europe’s proposals on groups of companies (in cross-border insolvency): a critical appraisal
by: Mevorach, Irit
Published: (2012)
by: Mevorach, Irit
Published: (2012)
Real time end-to-end glass break detection system using LSTM deep recurrent neural network
by: Nyein Naing, Wai Yan, et al.
Published: (2019)
by: Nyein Naing, Wai Yan, et al.
Published: (2019)
The law and economics of orderly and effective insolvency
by: Crawford, Keith
Published: (2013)
by: Crawford, Keith
Published: (2013)
Fault detection for medium voltage switchgear using a deep learning hybrid 1D-CNN-LSTM model
by: Alsumaidaee, Yaseen Ahmed Mohammed, et al.
Published: (2023)
by: Alsumaidaee, Yaseen Ahmed Mohammed, et al.
Published: (2023)
Microsleep Predicting Comparison Between LSTM and ANN Based on the Analysis of Time Series EEG Signal
by: Hasan, Md Mahmudul, et al.
Published: (2024)
by: Hasan, Md Mahmudul, et al.
Published: (2024)
Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach
by: Majeed, Mokhalad A., et al.
Published: (2023)
by: Majeed, Mokhalad A., et al.
Published: (2023)
Enterprise groups in insolvency: recent international developments
by: Mevorach, Irit
Published: (2013)
by: Mevorach, Irit
Published: (2013)
European insolvency law in a global context
by: Mevorach, Irit
Published: (2011)
by: Mevorach, Irit
Published: (2011)
Bank insolvencies, priority claims and systemic risk
by: Bougheas, Spiros, et al.
Published: (2016)
by: Bougheas, Spiros, et al.
Published: (2016)
The role of receivership in Malaysian corporate insolvency framework
by: Ooi, Zi Jie
Published: (2021)
by: Ooi, Zi Jie
Published: (2021)
Autoencoder Neural Networks: A Performance Study Based On Image Recognition, Reconstruction And Compression
by: Tan, Chun Chet
Published: (2008)
by: Tan, Chun Chet
Published: (2008)
Electrocorticography based motor imagery movements classification using long short-term memory (LSTM) based on deep learning approach
by: Rashid, Mamunur, et al.
Published: (2020)
by: Rashid, Mamunur, et al.
Published: (2020)
A self-attention enhanced deep CNN-LSTM based irregular surface recognition approach for integration into lower limb prosthesis systems to ensure safety through predictive walking
by: Norazian, Subari, et al.
Published: (2025)
by: Norazian, Subari, et al.
Published: (2025)
Construction Noise Prediction Using Stochastic Deep Learning
by: Ooi, Wei Chien
Published: (2022)
by: Ooi, Wei Chien
Published: (2022)
Similar Items
-
Anomaly detection with Attention-based deep autoencoder
by: Yong, Hong Long
Published: (2022) -
An automatic grading model for semantic complexity of english texts using bidirectional attention-based autoencoder
by: Chen, Ruo Han, et al.
Published: (2024) -
Application of deep autoencoder model for structural condition monitoring
by: Pathirage, C., et al.
Published: (2018) -
A deep contractive autoencoder for solving multiclass classification problems
by: Aamir, Muhammad, et al.
Published: (2020) -
Structural damage identification based on autoencoder neural networks and deep learning
by: Pathirage, C., et al.
Published: (2018)