References
- Aly, H. (2022). Is AI a blessing or a curse? Review of Economics and Political Science, 7 (4), 238-256.
- Dominik Dellermann, Adrian Calma, Nikolaus Lipusch,Thorsten Weber,Sascha Weigel, Philipp Ebel. (2019). The Future of Human-AI Collaboration: A Taxonomy of Design Knowledge for Hybrid Intelligence Systems. Hawaii International Conference on System Sciences.
- Evripides Christodoulou, Andreas Gregoriades, Maria Pampaka and Herodotos Herodotou. (2021). Application of Classification and Word Embedding Techniques to Evaluate Tourists’ Hotel-revisit Intention. Proceedings of the 23rd International Conference on Enterprise Information Systems (ICEIS 2021), 1, pp. 216–223. doi:https://doi.org/10.5220/0010453502160223
- Foroughmand, H. (2023). The Scope of Artificial Intelligence Applications in Medicine: A Review Article. Journal of Orthopedic and Spine Trauma. doi:10.18502/jost.v9i2.12621
- Georgios Giotis and Evangelia Papadionysiou. (2022). The Role of Managerial and Technological Innovations in the Tourism Industry: A Review of the Empirical Literature. Sustainability, 14(9). doi:10.3390/su14095182
- Hongbo Tan, Tian Su, Xusheng Wu, Pengzhan Cheng and Tianxiang Zheng. (2024). A Sustainable Rental Price Prediction Model Based on Multimodal Input and Deep Learning— Evidence from Airbnb. Sustainability, 16(15). doi:https://doi.org/10.3390/su16156384
- Jun Liu, Xin Jiang, Mengxue Shi and Yuning Yang. (2024). Impact of Artificial Intelligence on Manufacturing Industry Global Value Chain Position. Sustainability, 16(3). doi:https://doi.org/10.3390/su16031341
- Kehinde Odubela, Steven Jiang and Lauren Davis . (2020). Estimating True Demand at a Local Hunger Relief Organization. IISE Annual Conference .
- Koushal Kumar, Gour Sundar Mitra Thakur. (2012, 6 8). Advanced Applications of Neural Networks and Artificial Intelligence: A Review. I.J. Information Technology and Computer Science, pp. 57-68.
- Koushal Kumar, Gour Sundar Mitra Thakur. (2012). Advanced Applications of Neural Networks and Artificial Intelligence: A Review. I.J. Information Technology and Computer Science,, 6, 57-68. doi:10.5815/ijitcs.2012.06.08
- Li, Z. (2022). Extracting spatial effects from machine learning model using local interpretation method: An example of SHAP and XGBoost. Computers, Environment and Urban Systems, 96. doi:101845
- Lipton, Z. C. (2018). The Mythos of Model Interpretability: In machine learning, the concept of interpretability is both important and slippery. Communications of the ACM. doi: 10.1145/3236386.3241340
- Mathieu Payette and Georges Abdul-Nour. (2023). Machine Learning Applications for Reliability Engineering: A Review. Sustainability, 15(7). doi:https://doi.org/10.3390/su15076270
- Md Didarul Islam, Bin Li b, Kazi Saiful Islam, Rakibul Ahasan, Md. Rimu Mia, Md Emdadul Haque. (2022). Airbnb rental price modeling based on Latent Dirichlet Allocation and. Machine Learning with Applications, 7. doi:100208
- Miguel Ángel García, Ana Julia Grilló. (n.d.). Artificial Intelligence in the Tourism Industry: An Overview of Reviews. Administrative Sciences, 13(8). doi:10.3390/admsci13080172
- Miguel-Ángel García-Madurga, Ana-Julia Grilló-Méndez. (2023, 07 26). Artificial Intelligence in the Tourism Industry: An Overview of Reviews. Administrative sciences.
- Morena Breshanaj and Areti Stringa . (2025). THE NEW ERA OF ALBANIAN TOURISM: DESIGNING INTELLIGENT MODELS WITH ARIMAANN FOR VISIONARY FORECASTS. International Conference on Basic Sciences, Engineering and Technology (ICBASET). Trabzon/ Turkiye.
- Morena Breshanaj, Areti Stringa and Miftar Ramosacaj. (2025). Applying Facebook Prophet to forecast the passenger flow in a seaport. Maritime Technology and Research, 7(4). doi:ttps://doi. org/10.33175/mtr.2025.277161
- TechFlog. (2023). From How can artificial intelligence help business?
- The Potential Impact of AI in MENA . (n.d.). From MAGNiTT: https://magnitt.com/news/potential-impact-ai-mena-53905
- Thomas M. T. Lei, Stanley C. W. Ng and Shirley W. I. Siu. (2023). Application of ANN, XGBoost, and Other ML Methods to Forecast Air Quality in Macau. Sustainability, 15. doi:https://doi.org/10.3390/su15065341
- Tianqi Chen, Carlos Guestrin. (2016). XGBoost: A Scalable Tree Boosting System. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (pp. 785–794.). San Francisco, CA, USA. doi: http://dx.doi.org/10.1145/2939672.2939785
- Tianqi Chen, Carlos Guestrin. (2016). XGBoost: A Scalable Tree Boosting System. Computer Science .Machine Learning.
- Zhen Chen and Wei Fan. (2021). A Freeway Travel Time Prediction Method Based on an. Sustainability, 13(15). doi: https://doi.org/10.3390/su13158577