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A Machine Learning and Deep Learning-Based Account Code Classification Model for Sustainable Accounting Practices. (2024). Ko, Feden.
In: Sustainability.
RePEc:gam:jsusta:v:16:y:2024:i:20:p:8866-:d:1497734.

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  1. Žigulić, N.; Glučina, M.; Lorencin, I.; Matika, D. Military Decision-Making Process Enhanced by Image Detection. Information 2024, 15, 11. [CrossRef]
    Paper not yet in RePEc: Add citation now
  2. Abdelhalim, A.M. How Management Accounting Practices Integrate with Big Data Analytics and Its Impact on Corporate Sustainability. J. Financ. Report. Account. 2023, 22, 416–432. [CrossRef]

  3. Ahadzadeh, S.; Malek, M.R. Earthquake Damage Assessment in Three Spatial Scale Using Naive Bayes, SVM, and Deep Learning Algorithms. Appl. Sci. 2021, 11, 9737. [CrossRef]
    Paper not yet in RePEc: Add citation now
  4. Ahn, J.M.; Kim, J.; Kim, K. Ensemble Machine Learning of Gradient Boosting (XGBoost, LightGBM, CatBoost) and Attention-Based CNN-LSTM for Harmful Algal Blooms Forecasting. Toxins 2023, 15, 608. [CrossRef]
    Paper not yet in RePEc: Add citation now
  5. Akanji, W.; Okey, O.; Adelanwa, S.; Odesanya, O.; Olaleye, T.; Amusu, M.; Akinrinlola, A.; Oladejo, A. A Blind Steganalysis-Based Predictive Analytics of Numeric Image Descriptors for Digital Forensics with Random Forest & SqueezeNet. In Proceedings of the 2022 5th Information Technology for Education and Development (ITED), Abuja, Nigeria, 1–3 November 2022; pp. 1–7.
    Paper not yet in RePEc: Add citation now
  6. Akoglu, L.; Tong, H.; Koutra, D. Graph Based Anomaly Detection and Description: A Survey. Data Min. Knowl. Discov. 2015, 29, 626–688. [CrossRef]
    Paper not yet in RePEc: Add citation now
  7. Al-Mahmood, A.M.; Shahadi, H.I.; Khayeat, A.R.H. Classifying Infected Palms with Dubas’s Bug Based on Artificial Intelligence. In Proceedings of the 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET), Prague, Czech Republic, 20–22 July 2022; pp. 1–6.
    Paper not yet in RePEc: Add citation now
  8. Ali, M.; Jung, L.T.; Abdel-Aty, A.H.; Abubakar, M.Y.; Elhoseny, M.; Ali, I. Semantic-k-NN Algorithm: An Enhanced Version of Traditional k-NN Algorithm. Expert Syst. Appl. 2020, 151, 113374. [CrossRef]
    Paper not yet in RePEc: Add citation now
  9. Almagro Armenteros, J.J.; Sønderby, C.K.; Sønderby, S.K.; Nielsen, H.; Winther, O. DeepLoc: Prediction of Protein Subcellular Localization Using Deep Learning. Bioinformatics 2017, 33, 3387–3395. [CrossRef]
    Paper not yet in RePEc: Add citation now
  10. Alshari, H.; Saleh, A.Y.; Odabaş, A. Comparison of Gradient Boosting Decision Tree Algorithms for CPU Performance. Erciyes Univ. J. Inst. Sci. Technol. 2021, 37, 157–168.
    Paper not yet in RePEc: Add citation now
  11. Arslan, H. End to End Invoice Processing Application Based on Key Fields Extraction. IEEE Access 2022, 10, 78398–78413. [CrossRef]
    Paper not yet in RePEc: Add citation now
  12. Aslan, E.; Karakaya, T.; Unver, E.; Akgul, Y.S. An Optimization Approach for Invoice Image Analysis. In Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), Malatya, Turkey, 16–19 May 2015; pp. 1130–1133.
    Paper not yet in RePEc: Add citation now
  13. Özdeş, M. Sentiment Analysis Using Big Data Tools. Master’s Thesis, Pamukkale University, Denizli, Turkey, 2017.
    Paper not yet in RePEc: Add citation now
  14. Azman, N.A.; Mohamed, A.; Jamil, A.M. Artificial Intelligence in Automated Bookkeeping: A Value-Added Function for Small and Medium Enterprises. JOIV Int. J. Inform. Vis. 2021, 5, 224–230. [CrossRef]
    Paper not yet in RePEc: Add citation now
  15. Badue, C.; Guidolini, R.; Carneiro, R.V.; Azevedo, P.; Cardoso, V.B.; Forechi, A.; Jesus, L.; Berriel, R.; Paixão, T.M.; Mutz, F.; et al. Self-Driving Cars: A Survey. Expert Syst. Appl. 2021, 165, 113816. [CrossRef]
    Paper not yet in RePEc: Add citation now
  16. Bahad, P.; Saxena, P. Study of AdaBoost and Gradient Boosting Algorithms for Predictive Analytics. In Proceedings of the International Conference on Intelligent Computing and Smart Communication 2019, Hyderabad, Telangana, India, 26–27 July 2019; Singh Tomar, G., Chaudhari, N.S., Barbosa, J.L.V., Aghwariya, M.K., Eds.; Springer: Singapore, 2020; pp. 235–244.
    Paper not yet in RePEc: Add citation now
  17. Bansal, M.; Kumar, M.; Sachdeva, M.; Mittal, A. Transfer Learning for Image Classification Using VGG19: Caltech-101 Image Data Set. J. Ambient. Intell. Humaniz. Comput. 2023, 14, 3609–3620. [CrossRef]
    Paper not yet in RePEc: Add citation now
  18. Bentéjac, C.; Csörgő, A.; Martínez-Muñoz, G. A Comparative Analysis of Gradient Boosting Algorithms. Artif. Intell. Rev. 2021, 54, 1937–1967. [CrossRef] Sustainability 2024, 16, 8866 22 of 23
    Paper not yet in RePEc: Add citation now
  19. Bharati, S.; Podder, P.; Mondal, R.; Mahmood, A.; Raihan-Al-Masud, M. Comparative Performance Analysis of Different Classification Algorithm for the Purpose of Prediction of Lung Cancer. In Proceedings of the Intelligent Systems Design and Applications, Vellore, India, 12–15 December 2020; Abraham, A., Cherukuri, A.K., Melin, P., Gandhi, N., Eds.; Springer International Publishing: Cham, Switzerland, 2020; pp. 447–457.
    Paper not yet in RePEc: Add citation now
  20. Bhardwaj, C.; Jain, S.; Sood, M. Diabetic Retinopathy Severity Grading Employing Quadrant-Based Inception-V3 Convolution Neural Network Architecture. Int. J. Imaging Syst. Technol. 2021, 31, 592–608. [CrossRef]
    Paper not yet in RePEc: Add citation now
  21. Bhoi, S.K.; Jena, K.K.; Naik, K.D.; Mallick, C.; Nayak, R.P. Detection of Malicious Unmanned Aerial Vehicle Carrying Unnecessary Load Using Supervised Machine Intelligence Model with SqueezeNet Deep Neural Network Image Embedder. In Proceedings of the Data Intelligence and Cognitive Informatics, Tirunelveli, India, 27–28 June 2023; Jacob, I.J., Kolandapalayam Shanmugam, S., Izonin, I., Eds.; Springer Nature: Singapore, 2023; pp. 349–361.
    Paper not yet in RePEc: Add citation now
  22. Cao, J.; Yan, M.; Jia, Y.; Tian, X.; Zhang, Z. Application of a Modified Inception-v3 Model in the Dynasty-Based Classification of Ancient Murals. EURASIP J. Adv. Signal Process. 2021, 2021, 49. [CrossRef]
    Paper not yet in RePEc: Add citation now
  23. Challagundla, Y.; Chintalapati, L.R.; Tunuguntla, T.S.C.; Sur, A.; Roy, B.; Zhuo, E.R. Screening of Citrus Diseases Using Deep Learning Embedders and Machine Learning Techniques. In Proceedings of the 2023 3rd International conference on Artificial Intelligence and Signal Processing (AISP), Vijayawada, India, 18–20 March 2023; pp. 1–5.
    Paper not yet in RePEc: Add citation now
  24. Chaves, L.; Marques, G. Data Mining Techniques for Early Diagnosis of Diabetes: A Comparative Study. Appl. Sci. 2021, 11, 2218. [CrossRef]
    Paper not yet in RePEc: Add citation now
  25. Chen, S. Image Recognition and Intelligent Management of Accounting Bills Based on Image Processing Technology. In Proceedings of the 2024 5th International Conference on Computer Vision, Image and Deep Learning (CVIDL), Zhuhai, China, 19–21 April 2024; pp. 44–48.
    Paper not yet in RePEc: Add citation now
  26. Correia, S.; Luck, S. Digitizing Historical Balance Sheet Data: A Practitioner’s Guide. Explor. Econ. Hist. 2023, 87, 101475. [CrossRef]
    Paper not yet in RePEc: Add citation now
  27. Craja, P.; Kim, A.; Lessmann, S. Deep Learning for Detecting Financial Statement Fraud. Decis. Support Syst. 2020, 139, 113421. [CrossRef]
    Paper not yet in RePEc: Add citation now
  28. Dang, Y.; Jiang, N.; Hu, H.; Ji, Z.; Zhang, W. Image Classification Based on Quantum K-Nearest-Neighbor Algorithm. Quantum Inf. Process. 2018, 17, 239. [CrossRef]
    Paper not yet in RePEc: Add citation now
  29. Das, A.; Mohapatra, S.K.; Mohanty, M.N. Brain Image Classification Using Optimized Extreme Gradient Boosting Ensemble Classifier. In Proceedings of the Biologically Inspired Techniques in Many Criteria Decision Making, Balasore, India, 19–20 December 2019; Dehuri, S., Prasad Mishra, B.S., Mallick, P.K., Cho, S.B., Eds.; Springer Nature: Singapore, 2022; pp. 221–229.
    Paper not yet in RePEc: Add citation now
  30. Dev, V.A.; Eden, M.R. Gradient Boosted Decision Trees for Lithology Classification. In Computer Aided Chemical Engineering, Proceedings of the 9 International Conference on Foundations of Computer-Aided Process Design, New Hampshire, USA, 14–18 July 2019; Muñoz, S.G., Laird, C.D., Realff, M.J., Eds.; Elsevier: Amsterdam, The Netherlands, 2019; Volume 47, pp. 113–118.
    Paper not yet in RePEc: Add citation now
  31. Dobesova, Z. Experiment in Finding Look-Alike European Cities Using Urban Atlas Data. ISPRS Int. J. Geo-Inf. 2020, 9, 406. [CrossRef]
    Paper not yet in RePEc: Add citation now
  32. Dong, N.; Zhao, L.; Wu, C.H.; Chang, J.F. Inception v3 Based Cervical Cell Classification Combined with Artificially Extracted Features. Appl. Soft Comput. 2020, 93, 106311. [CrossRef]
    Paper not yet in RePEc: Add citation now
  33. Dorogush, A.V.; Ershov, V.; Gulin, A. CatBoost: Gradient Boosting with Categorical Features Support. arXiv 2018, arXiv:1810.11363.
    Paper not yet in RePEc: Add citation now
  34. Eklund, A.; Dufort, P.; Forsberg, D.; LaConte, S.M. Medical Image Processing on the GPU—Past, Present and Future. Med. Image Anal. 2013, 17, 1073–1094. [CrossRef]
    Paper not yet in RePEc: Add citation now
  35. Fascista, A. Toward Integrated Large-Scale Environmental Monitoring Using WSN/UAV/Crowdsensing: A Review of Applications, Signal Processing, and Future Perspectives. Sensors 2022, 22, 1824. [CrossRef] [PubMed]
    Paper not yet in RePEc: Add citation now
  36. Gürevin, T. Görüntü Işleme Tekniklerinin Arşivcilik Mesleği Üzerinde Etkileri. Master’s Thesis, Marmara University, Türkiyat Araştırmaları Enstitüsü, Istanbul, Kadikoy, 2003.
    Paper not yet in RePEc: Add citation now
  37. Gharaibeh, M.; Abedalaziz, W.; Alawad, N.A.; Gharaibeh, H.; Nasayreh, A.; El-Heis, M.; Altalhi, M.; Forestiero, A.; Abualigah, L. Optimal Integration of Machine Learning for Distinct Classification and Activity State Determination in Multiple Sclerosis and Neuromyelitis Optica. Technologies 2023, 11, 131. [CrossRef]
    Paper not yet in RePEc: Add citation now
  38. Guo, J.; Huang, P.; Zhang, Y. Accounting Conservatism and Corporate Social Responsibility. Adv. Account. 2020, 51, 100501. [CrossRef]
    Paper not yet in RePEc: Add citation now
  39. Hamid, N.; Sumait, B.S.; Bakri, B.I.; Al-Qershi, O. Enhancing Visual Quality of Spatial Image Steganography Using SqueezeNet Deep Learning Network. Multimed. Tools Appl. 2021, 80, 36093–36109. [CrossRef]
    Paper not yet in RePEc: Add citation now
  40. Hancock, J.T.; Khoshgoftaar, T.M. CatBoost for Big Data: An Interdisciplinary Review. J. Big Data 2020, 7, 94. [CrossRef] [PubMed]
    Paper not yet in RePEc: Add citation now
  41. Hendrawaty, E.; Abdullah, M.; Gamayuni, R.R.; Aida, N.; Darmawan, A.; Febrian, A. In Proceedings of the 6th International Conference of Economics, Business, and Entrepreneurship, ICEBE 2023, Bandar Lampung, Indonesi, 13–14 September 2023; European Alliance for Innovation: Gent, Belgium, 2023; ISBN 978-1-63190-432-5.
    Paper not yet in RePEc: Add citation now
  42. Hilal, W.; Gadsden, S.A.; Yawney, J. Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances. Expert Syst. Appl. 2022, 193, 116429. [CrossRef]
    Paper not yet in RePEc: Add citation now
  43. Huang, T.S.; Schreiber, W.F.; Tretiak, O.J. Image Processing. Proc. IEEE 1971, 59, 1586–1609. [CrossRef]
    Paper not yet in RePEc: Add citation now
  44. Isro’Mukti, Y.; Itteridi, V.; Sulaini, I.; Widiastiwi, Y. Naive Bayes Classification Framework Model for Optimizing Prediction of Agrotourism Products Orange Gerga. In Proceedings of the 2022 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS), Jakarta, Indonesia, 16–17 November 2022; pp. 343–347.
    Paper not yet in RePEc: Add citation now
  45. Jabeur, S.B.; Gharib, C.; Mefteh-Wali, S.; Arfi, W.B. CatBoost Model and Artificial Intelligence Techniques for Corporate Failure Prediction. Technol. Forecast. Soc. Change 2021, 166, 120658. [CrossRef]
    Paper not yet in RePEc: Add citation now
  46. Jabonete, D.S.; De Leon, M.M. Development of an Automatic Document to Digital Record Association Feature for a Cloud-Based Accounting Information System. In Proceedings of the Intelligent Computing, Beijing China, 26–28 January 2024; Arai, K., Ed.; Springer International Publishing: Cham, Switzerland, 2022; pp. 899–910.
    Paper not yet in RePEc: Add citation now
  47. Jain, P.H.; Kumar, V.; Samuel, J.; Singh, S.; Mannepalli, A.; Anderson, R. Artificially Intelligent Readers: An Adaptive Framework for Original Handwritten Numerical Digits Recognition with OCR Methods. Information 2023, 14, 305. [CrossRef]
    Paper not yet in RePEc: Add citation now
  48. Jia, X.; Cao, Y.; O’Connor, D.; Zhu, J.; Tsang, D.C.W.; Zou, B.; Hou, D. Mapping Soil Pollution by Using Drone Image Recognition and Machine Learning at an Arsenic-Contaminated Agricultural Field. Environ. Pollut. 2021, 270, 116281. [CrossRef] [PubMed]
    Paper not yet in RePEc: Add citation now
  49. Jr, D.W.H.; Lemeshow, S.; Sturdivant, R.X. Applied Logistic Regression; John Wiley & Sons: Hoboken, NJ, USA, 2013; ISBN 978-1118 -54835-6.
    Paper not yet in RePEc: Add citation now
  50. Jung, K.; Kim, K.I.; Jain, A.K. Text Information Extraction in Images and Video: A Survey. Pattern Recognit. 2004, 37, 977–997. [CrossRef]
    Paper not yet in RePEc: Add citation now
  51. Karakoç, M. Image Searching Inside Another Image Using Image Processing Techniques and Artificial Intelligence Methods. Master’s Thesis, Pamukkale University, Institute of Sciences, Denizli, Turkey, 2011.
    Paper not yet in RePEc: Add citation now
  52. Kelle, A.C.; Yüce, H. MQTT Trafiğinde DoS Saldırılarının Makine Öğrenmesi ile Sınıflandırılması ve Modelin SHAP ile Yorumlanması. J. Mater. Mechatron. A 2022, 3, 50–62. [CrossRef]
    Paper not yet in RePEc: Add citation now
  53. Koonce, B. SqueezeNet. Image Recognition and Dataset Categorization. In Convolutional Neural Networks with Swift for Tensorflow; Koonce, B., Ed.; Apress: Berkeley, CA, USA, 2021; pp. 73–85, ISBN 978-1-4842-6168-2.
    Paper not yet in RePEc: Add citation now
  54. Kuck, T.N.; Silva Filho, P.F.F.; Sano, E.E.; Bispo, P.D.C.; Shiguemori, E.H.; Dalagnol, R. Change Detection of Selective Logging in the Brazilian Amazon Using X-Band SAR Data and Pre-Trained Convolutional Neural Networks. Remote Sens. 2021, 13, 4944. [CrossRef]
    Paper not yet in RePEc: Add citation now
  55. Kumar, S.S.; Sigappi, A.N.; Thomas, G.A.S.; Robinson, Y.H.; Raja, S.P. Classification and Analysis of Pistachio Species Through Neural Embedding-Based Feature Extraction and Small-Scale Machine Learning Techniques. Int. J. Image Graph. 2023, 24, 2450032. [CrossRef]
    Paper not yet in RePEc: Add citation now
  56. Lantz, B. Machine Learning with R; Packt Publishing Ltd.: Birmingham-Mumbai, UK, 2013; ISBN 978-1-78216-214-8.
    Paper not yet in RePEc: Add citation now
  57. Li, J.; Wang, P.; Li, Y.; Zhou, Y.; Liu, X.; Luan, K. Transfer Learning of Pre- Trained Inception-V3 Model for Colorectal Cancer Lymph Node Metastasis Classification. In Proceedings of the 2018 IEEE International Conference on Mechatronics and Automation (ICMA), Changchun, China, 5–8 August 2018; pp. 1650–1654.
    Paper not yet in RePEc: Add citation now
  58. Li, M. Retracted: Smart Accounting Platform Based on Visual Invoice Recognition Algorithm. In Proceedings of the 2022 6th International Conference on Computing Methodologies and Communication (ICCMC), Erode, India, 29–31 March 2022; pp. 1436–1439.
    Paper not yet in RePEc: Add citation now
  59. Lin, C.-J.; Liu, Y.-C.; Lee, C.-L. Automatic Receipt Recognition System Based on Artificial Intelligence Technology. Appl. Sci. 2022, 12, 853. [CrossRef]
    Paper not yet in RePEc: Add citation now
  60. Liu, Y.; Zhou, Y.; Wen, S.; Tang, C. A Strategy on Selecting Performance Metrics for Classifier Evaluation. Int. J. Mob. Comput. Multimed. Commun. 2014, 6, 20–35. [CrossRef]
    Paper not yet in RePEc: Add citation now
  61. Lokanan, M.; Tran, V.; Vuong, N.H. Detecting Anomalies in Financial Statements Using Machine Learning Algorithm: The Case of Vietnamese Listed Firms. Asian J. Account. Res. 2019, 4, 181–201. [CrossRef]
    Paper not yet in RePEc: Add citation now
  62. Luo, P.; Zhang, X.; Cheng, J.; Sun, Q. Modeling Population Density Using a New Index Derived from Multi-Sensor Image Data. Remote Sens. 2019, 11, 2620. [CrossRef]
    Paper not yet in RePEc: Add citation now
  63. Mihai, M.S.; Duţescu, A. Artificial Intelligence Solutions for Romanian Accounting Companies. Proc. Int. Conf. Bus. Excell. 2022, 16, 859–869. [CrossRef]
    Paper not yet in RePEc: Add citation now
  64. Mittal, S.; Monga, C.; Bansal, A.; Singla, N. Analyzing Data Scientist Salaries Dataset Through Machine Learning Algorithms Using Tool “Orange”. In Proceedings of the 2023 7th International Conference on Computing, Communication, Control and Automation (ICCUBEA), Pune, India, 18–19 August 2023; pp. 1–6.
    Paper not yet in RePEc: Add citation now
  65. Mohamed, N.; Al-Jaroodi, J.; Jawhar, I.; Idries, A.; Mohammed, F. Unmanned Aerial Vehicles Applications in Future Smart Cities. Technol. Forecast. Soc. Change 2020, 153, 119293. [CrossRef]
    Paper not yet in RePEc: Add citation now
  66. Mohammed, S.A.; Al-Haddad, L.A.; Alawee, W.H.; Dhahad, H.A.; Jaber, A.A.; Al-Haddad, S.A. Forecasting the Productivity of a Solar Distiller Enhanced with an Inclined Absorber Plate Using Stochastic Gradient Descent in Artificial Neural Networks. Multiscale Multidiscip. Model. Exp. Des. 2023, 7, 1819–1829. [CrossRef]
    Paper not yet in RePEc: Add citation now
  67. Mohapatra, S.; Swarnkar, T. Comparative Study of Different Orange Data Mining Tool-Based AI Techniques in Image Classification. In Proceedings of the Advances in Intelligent Computing and Communication, Odisha, India, 25–26 November 2021; Das, S., Mohanty, M.N., Eds.; Springer: Singapore, 2021; pp. 611–620.
    Paper not yet in RePEc: Add citation now
  68. Muramatsu, S.; Otsuka, Y.; Takenaga, H.; Kobayashi, Y.; Furusawa, I.; Monji, T. Image Processing Device for Automotive Vision Systems. In Proceedings of the IEEE Intelligent Vehicle Symposium, Versailles, France, 17–21 June 2002; Volume 1, pp. 121–126. Sustainability 2024, 16, 8866 20 of 23
    Paper not yet in RePEc: Add citation now
  69. Näher, A.; Kopka, M.; Balzer, F.; Schulte—Althoff, M. Generalizability in Real—World Trials. Clin. Transl. Sci. 2024, 17, e13886. [CrossRef] [PubMed]
    Paper not yet in RePEc: Add citation now
  70. Nanglia, S.; Ahmad, M.; Ali Khan, F.; Jhanjhi, N.Z. An Enhanced Predictive Heterogeneous Ensemble Model for Breast Cancer Prediction. Biomed. Signal Process. Control. 2022, 72, 103279. [CrossRef]
    Paper not yet in RePEc: Add citation now
  71. Ng, J.; Shah, S. Hands-On Artificial Intelligence for Banking: A Practical Guide to Building Intelligent Financial Applications Using Machine Learning Techniques; Packt Publishing Ltd.: Birmingham, UK, 2020; ISBN 978-1-78883-396-7.
    Paper not yet in RePEc: Add citation now
  72. Ngugi, L.C.; Abelwahab, M.; Abo-Zahhad, M. Recent Advances in Image Processing Techniques for Automated Leaf Pest and Disease Recognition—A Review. Inf. Process. Agric. 2021, 8, 27–51. [CrossRef]
    Paper not yet in RePEc: Add citation now
  73. Nikhitha, M.; Roopa Sri, S.; Uma Maheswari, B. Fruit Recognition and Grade of Disease Detection Using Inception V3 Model. In Proceedings of the 2019 3rd International conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore, India, 12–14 June 2019; pp. 1040–1043.
    Paper not yet in RePEc: Add citation now
  74. Nissim, D. Big Data, Accounting Information, and Valuation. J. Financ. Data Sci. 2022, 8, 69–85. [CrossRef]
    Paper not yet in RePEc: Add citation now
  75. Nugrahaeni, R.A.; Mutijarsa, K. Comparative Analysis of Machine Learning KNN, SVM, and Random Forests Algorithm for Facial Expression Classification. In Proceedings of the 2016 International Seminar on Application for Technology of Information and Communication (ISemantic), Semarang, Indonesia, 5–6 August 2016; pp. 163–168.
    Paper not yet in RePEc: Add citation now
  76. Oliva, D.; Abd Elaziz, M.; Hinojosa, S. Image Processing. In Metaheuristic Algorithms for Image Segmentation: Theory and Applications; Oliva, D., Abd Elaziz, M., Hinojosa, S., Eds.; Springer International Publishing: Cham, Switzerland, 2019; pp. 27–45, ISBN 978-3030 -12931-6.
    Paper not yet in RePEc: Add citation now
  77. Patil, N.; Ambatkar, S.; Kakde, S. IoT Based Smart Surveillance Security System Using Raspberry Pi. In Proceedings of the 2017 International Conference on Communication and Signal Processing (ICCSP), Melmaruvathur, India, 6–8 April 2017; pp. 0344–0348.
    Paper not yet in RePEc: Add citation now
  78. Posthoff, C. Image Processing. In Artificial Intelligence for Everyone; Posthoff, C., Ed.; Springer Nature: Cham, Switzerland, 2024; pp. 123–145, ISBN 978-3-031-57208-1.
    Paper not yet in RePEc: Add citation now
  79. Pramkeaw, P.; Chumuang, N.; Ketcham, M.; Yimyam, W.; Ganokratanaa, T. Development of a Process to Enhance the Reimbursement Efficiency with OCR and Ontology for Financial Documents. In Proceedings of the 2022 International Conference on Cybernetics and Innovations (ICCI), Ratchaburi, Thailand, 28–2 March 2022; pp. 1–6.
    Paper not yet in RePEc: Add citation now
  80. Prodasoft Leave Your Routine Works to the Robots. Available online: https://www.prodasoft.com/en (accessed on 23 August 2024).
    Paper not yet in RePEc: Add citation now
  81. Prokhorenkova, L.; Gusev, G.; Vorobev, A.; Dorogush, A.V.; Gulin, A. CatBoost: Unbiased Boosting with Categorical Features. In Proceedings of the Advances in Neural Information Processing Systems, New Orleans, LA, USA, 28–29 December 2022; Curran Associates, Inc.: New York, NY, USA, 2018; Volume 31.
    Paper not yet in RePEc: Add citation now
  82. Putzu, L.; Caocci, G.; Di Ruberto, C. Leucocyte Classification for Leukaemia Detection Using Image Processing Techniques. Artif. Intell. Med. 2014, 62, 179–191. [CrossRef] [PubMed]
    Paper not yet in RePEc: Add citation now
  83. Qian, X.; Patton, E.W.; Swaney, J.; Xing, Q.; Zeng, T. Machine Learning on Cataracts Classification Using SqueezeNet. In Proceedings of the 2018 4th International Conference on Universal Village (UV), Boston, MA, USA, 21–24 October 2018; pp. 1–3.
    Paper not yet in RePEc: Add citation now
  84. Qian, Y.; Li, G.; Lin, X.; Zhang, J.; Yan, J.; Xie, B.; Qin, J. Fresh Tea Leaves Classification Using Inception-V3. In Proceedings of the 2019 IEEE 2nd International Conference on Information Communication and Signal Processing (ICICSP), Weihai, China, 28–30 September 2019; pp. 415–419. Sustainability 2024, 16, 8866 21 of 23
    Paper not yet in RePEc: Add citation now
  85. Rafat, K.; Islam, S.; Mahfug, A.A.; Hossain, M.I.; Rahman, F.; Momen, S.; Rahman, S.; Mohammed, N. Mitigating Carbon Footprint for Knowledge Distillation Based Deep Learning Model Compression. PLoS ONE 2023, 18, e0285668. [CrossRef]
    Paper not yet in RePEc: Add citation now
  86. Rahman, A.S.M.M.; Saboune, J.; El Saddik, A. Motion-Path Based in Car Gesture Control of the Multimedia Devices. In Proceedings of the Proceedings of the First ACM International Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications, New York, NY, USA, 4 November 2011; ACM: New York, NY, USA, 2011; pp. 69–76.
    Paper not yet in RePEc: Add citation now
  87. Rajinikanth, V.; Joseph Raj, A.N.; Thanaraj, K.P.; Naik, G.R. A Customized VGG19 Network with Concatenation of Deep and Handcrafted Features for Brain Tumor Detection. Appl. Sci. 2020, 10, 3429. [CrossRef]
    Paper not yet in RePEc: Add citation now
  88. Saeedi, S.; Rezayi, S.; Keshavarz, H.; Niakan Kalhori, S.R. MRI-Based Brain Tumor Detection Using Convolutional Deep Learning Methods and Chosen Machine Learning Techniques. BMC Med. Inform. Decis. Mak. 2023, 23, 16. [CrossRef]
    Paper not yet in RePEc: Add citation now
  89. Sahoo, A.P.S.; Nayak, Y.D. Towards Understanding of Artificial Intelligence in Accounting Profession. Int. J. Bus. Soc. Sci. Res. 2021, 2, 1–5. Sustainability 2024, 16, 8866 19 of 23
    Paper not yet in RePEc: Add citation now
  90. Salman, A.G.; Kanigoro, B.; Heryadi, Y. Weather Forecasting Using Deep Learning Techniques. In Proceedings of the 2015 International Conference on Advanced Computer Science and Information Systems (ICACSIS), Depok, Indonesia, 10–11 October 2015; pp. 281–285.
    Paper not yet in RePEc: Add citation now
  91. Schreyer, M.; Sattarov, T.; Borth, D.; Dengel, A.; Reimer, B. Detection of Anomalies in Large Scale Accounting Data Using Deep Autoencoder Networks. arXiv 2018, arXiv:1709.05254.
    Paper not yet in RePEc: Add citation now
  92. Seçkin, M.; Koç, F.; Seçkin, A.Ç. Audits in a Textile Company and Advantages. Acta Infologica 2021, 5, 99–116. [CrossRef]
    Paper not yet in RePEc: Add citation now
  93. Seeram, E. Digital Image Processing Concepts. In Digital Radiography: Physical Principles and Quality Control; Seeram, E., Ed.; Springer: Singapore, 2019; pp. 21–39, ISBN 9789811332449.
    Paper not yet in RePEc: Add citation now
  94. Seyyarer, E.; Ayata, F.; Uçkan, T.; Karci, A. Derin Öğrenmede Kullanilan Optimizasyon Algoritmalarinin Uygulanmasi Ve Kiyaslanmasi. Anatol. J. Comput. Sci. 2020, 5, 90–98. Sustainability 2024, 16, 8866 23 of 23
    Paper not yet in RePEc: Add citation now
  95. Shaffer, K.J.; Gaumer, C.J.; Bradley, K.P. Artificial Intelligence Products Reshape Accounting: Time to Re-Train. Dev. Learn. Organ. Int. J. 2020, 34, 41–43. [CrossRef]
    Paper not yet in RePEc: Add citation now
  96. Shyam, R.; Ayachit, S.S.; Patil, V.; Singh, A. Competitive Analysis of the Top Gradient Boosting Machine Learning Algorithms. In Proceedings of the 2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN), Greater Noida, India, 18–19 December 2020; pp. 191–196.
    Paper not yet in RePEc: Add citation now
  97. Sujatha, R.; Chatterjee, J.M.; Jhanjhi, N.; Brohi, S.N. Performance of Deep Learning vs Machine Learning in Plant Leaf Disease Detection. Microprocess. Microsyst. 2021, 80, 103615. [CrossRef]
    Paper not yet in RePEc: Add citation now
  98. Suponenkovs, A.; Sisojevs, A.; Mosāns, G.; Kampars, J.; Pinka, K.; Grabis, J.; Locmelis, A.; Taranovs, R. Application of Image Recognition and Machine Learning Technologies for Payment Data Processing Review and Challenges. In Proceedings of the 2017 5th IEEE Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE), Riga, Latvia, 24–25 November 2017; pp. 1–6.
    Paper not yet in RePEc: Add citation now
  99. Tiwari, R.G.; Misra, A.; Ujjwal, N. Image Embedding and Classification Using Pre-Trained Deep Learning Architectures. In Proceedings of the 2022 8th International Conference on Signal Processing and Communication (ICSC), Noida, India, 1–3 December 2022; pp. 125–130.
    Paper not yet in RePEc: Add citation now
  100. Tornés, B.M.; Boros, E.; Doucet, A.; Gomez-Krämer, P.; Ogier, J.-M. Detecting Forged Receipts with Domain-Specific OntologyBased Entities & Relations. In Proceedings of the Document Analysis and Recognition—ICDAR 2023, San José, CA, USA, 21–26 August 2023; Fink, G.A., Jain, R., Kise, K., Zanibbi, R., Eds.; Springer Nature: Cham, Switzerland, 2023; pp. 184–199.
    Paper not yet in RePEc: Add citation now
  101. Tsai, C.F. On Classifying Digital Accounting Documents. | International Journal of Digital Accounting Research | EBSCOhost. Available online: https://openurl.ebsco.com/contentitem/gcd:32512749?sid=ebsco:plink:crawler&id=ebsco:gcd:32512749 (accessed on 21 August 2024).
    Paper not yet in RePEc: Add citation now
  102. Ukwuoma, C.C.; Bo, C.; Chikwendu, I.A.; Bondzie-Selby, E. Performance Analysis of Students Based on Data Mining Techniques: A Literature Review. In Proceedings of the 2019 4th Technology Innovation Management and Engineering Science International Conference (TIMES-iCON), Bangkok, Thailand, 11–13 December 2019; pp. 1–5.
    Paper not yet in RePEc: Add citation now
  103. Uyanik, F.; Kasapbaşi, M.C. Telekomünikasyon Sektörü için Veri Madenciliği ve Makine Öğrenmesi Teknikleri ile Ayrılan Müşteri Analizi. Düzce Üniversitesi Bilim Ve Teknol. Derg. 2021, 9, 172–191. [CrossRef]
    Paper not yet in RePEc: Add citation now
  104. Vaishnav, D.; Rao, B.R. Comparison of Machine Learning Algorithms and Fruit Classification Using Orange Data Mining Tool. In Proceedings of the 2018 3rd International Conference on Inventive Computation Technologies (ICICT), Coimbatore, India, 15–16 November 2018; pp. 603–607.
    Paper not yet in RePEc: Add citation now
  105. Vanhoeyveld, J.; Martens, D.; Peeters, B. Value-Added Tax Fraud Detection with Scalable Anomaly Detection Techniques. Appl. Soft Comput. 2020, 86, 105895. [CrossRef]
    Paper not yet in RePEc: Add citation now
  106. Victor Ikechukwu, A.; Murali, S.; Deepu, R.; Shivamurthy, R.C. ResNet-50 vs VGG-19 vs Training from Scratch: A Comparative Analysis of the Segmentation and Classification of Pneumonia from Chest X-Ray Images. Glob. Transit. Proc. 2021, 2, 375–381. [CrossRef]
    Paper not yet in RePEc: Add citation now
  107. Watson, W.; Liu, B. Financial Table Extraction in Image Documents. In Proceedings of the First ACM International Conference on AI in Finance, New York, NY, USA, 15–16 October 2020; Association for Computing Machinery: New York, NY, USA, 2021; pp. 1–8.
    Paper not yet in RePEc: Add citation now
  108. Xu, Y. The Construction of Accounting Curriculum System Based on Artificial Intelligence Technology. In Proceedings of the 2019 International Conference on Smart Grid and Electrical Automation (ICSGEA), Xiangtan, China, 10–11 August 2019; pp. 321–326.
    Paper not yet in RePEc: Add citation now
  109. Yadav, N.; Ahuja, A.; Ashish, M.; Nijhawan, R.; Sharma, B. A Modern Replica for COVID-19 Pestilential Disease Identification. In Proceedings of the 2022 3rd International Conference on Intelligent Engineering and Management (ICIEM), London, UK, 27–29 April 2022; pp. 81–88.
    Paper not yet in RePEc: Add citation now
  110. Yang, L.; Qu, S.; Zhang, Y.; Zhang, G.; Wang, H.; Yang, B.; Xu, C.; Dai, M.; Cao, X. Removing Clinical Motion Artifacts During Ventilation Monitoring With Electrical Impedance Tomography: Introduction of Methodology and Validation With Simulation and Patient Data. Front. Med. 2022, 9, 817590. [CrossRef]
    Paper not yet in RePEc: Add citation now
  111. Yaqoob, M.; Sharma, S.; Aggarwal, P. Imaging Techniques in Agro-Industry and Their Applications, a Review. Food Meas. 2021, 15, 2329–2343. [CrossRef]
    Paper not yet in RePEc: Add citation now
  112. Yazan, E.; Talu, M.F. Comparison of the Stochastic Gradient Descent Based Optimization Techniques. In Proceedings of the 2017 International Artificial Intelligence and Data Processing Symposium (IDAP), Malatya, Turkey, 16–17 September 2017; pp. 1–5.
    Paper not yet in RePEc: Add citation now
  113. Ye, X.W.; Dong, C.Z.; Liu, T. A Review of Machine Vision-Based Structural Health Monitoring: Methodologies and Applications. J. Sens. 2016, 2016, 7103039. [CrossRef]
    Paper not yet in RePEc: Add citation now
  114. Yimyam, W.; Ketcham, M.; Jensuttiwetchakult, T.; Hiranchan, S.; Pramkeaw, P.; Chumuang, N. Enhancing and Evaluating an Impact of OCR and Ontology on Financial Document Checking Process. In Proceedings of the 2020 15th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), Bangkok, Thailand, 18–20 November 2020; pp. 1–6.
    Paper not yet in RePEc: Add citation now
  115. Yin, Y.; Wang, Y.; Jiang, Y.; Fan, S.; Xiong, J.; Gui, G. The Image Preprocessing and Check of Amount for VAT Invoices. In Proceedings of the Communications, Signal Processing, and Systems, Dalian, China, 14–16 December 2020; Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B., Eds.; Springer: Singapore, 2020; pp. 44–51.
    Paper not yet in RePEc: Add citation now
  116. Yu, J.Y.; Kim, Y.; Kim, Y.G. Intelligent Video Data Security: A Survey and Open Challenges. IEEE Access 2021, 9, 26948–26967. [CrossRef]
    Paper not yet in RePEc: Add citation now
  117. Yurochkin, D.E.; Horoshiy, A.A.; Karpukhin, S.A. Development of an Application for Expense Accounting. In Proceedings of the 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus), St. Petersburg and Moscow, Russia, 26–29 January 2021; pp. 753–757.
    Paper not yet in RePEc: Add citation now
  118. Zhang, C. Intelligent Process Automation in Audit. J. Emerg. Technol. Account. 2019, 16, 69–88. [CrossRef]
    Paper not yet in RePEc: Add citation now
  119. Zhang, H.; Dong, B.; Zheng, Q.; Feng, B. Research on Fast Text Recognition Method for Financial Ticket Image. Appl. Intell. 2022, 52, 18156–18166. [CrossRef]
    Paper not yet in RePEc: Add citation now
  120. Zhang, H.; Dong, B.; Zheng, Q.; Feng, B.; Xu, B.; Wu, H. All-Content Text Recognition Method for Financial Ticket Images. Multimed. Tools Appl. 2022, 81, 28327–28346. [CrossRef]
    Paper not yet in RePEc: Add citation now
  121. Zhang, H.; Zheng, Q.; Dong, B.; Feng, B. A Financial Ticket Image Intelligent Recognition System Based on Deep Learning. Knowl. Based Syst. 2021, 222, 106955. [CrossRef]
    Paper not yet in RePEc: Add citation now
  122. Zhang, S.; Li, X.; Zong, M.; Zhu, X.; Wang, R. Efficient kNN Classification With Different Numbers of Nearest Neighbors. IEEE Trans. Neural Netw. Learn. Syst. 2018, 29, 1774–1785. [CrossRef]
    Paper not yet in RePEc: Add citation now
  123. Zhang, X. Construction of Financial Accounting Transformation Strategy in the Era of Big Data; Atlantis Press: Dordrecht, The Netherlands, 2019; pp. 257–260.
    Paper not yet in RePEc: Add citation now
  124. Zhou, X.; Jiang, Y.; Bansal, M. Data Factors for Better Compositional Generalization. arXiv 2023, arXiv:2311.04420.
    Paper not yet in RePEc: Add citation now

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  2. A Machine Learning and Deep Learning-Based Account Code Classification Model for Sustainable Accounting Practices. (2024). Ko, Feden.
    In: Sustainability.
    RePEc:gam:jsusta:v:16:y:2024:i:20:p:8866-:d:1497734.

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  3. Big data capabilities, ESG performance and corporate value. (2024). Cai, Cen ; Tu, Yongqian ; Li, Yijia.
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