Integrated Artificial Intelligence in Data Science
Source abstract
Abstract
Artificial Intelligence (AI) is increasingly pervading everyday life since it can be used to solve high-complexity problems, as well as determine optimal solutions, in various domains and for numerous applications [...]
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: Anomaly Detection Techniques and Applications · Machine Learning and Data Classification · Data Stream Mining Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, 44-100 Gliwice, Poland
Institute of Computer Science, Faculty of Science and Technology, University of Tartu, 51009 Tartu, Estonia
Department of Industrial Engineering, University of Salerno, 84084 Fisciano, Italy
Department of Mathematics and Computer Science, Brandon University, Brandon, MB R7A 6A9, Canada
Funding
European Social Fund
References (22)
Show source-provided references
1. Lukauskas, M., Šarkauskaitė, V., Pilinkienė, V., Stundžienė, A., Grybauskas, A., and Bruneckienė, J. (2023). Enhancing Skills Demand Understanding through Job Ad Segmentation Using NLP and Clustering Techniques. Appl. Sci., 13.10.3390/app13106119 ↗
2. An Ensemble Approach Based on Fuzzy Logic Using Machine Learning Classifiers for Android Malware Detection10.3390/app13031484 ↗
3. Das Mou, T., Alam, S.B., Rahman, M.H., Srivastava, G., Hasan, M., and Uddin, M.F. (2023). Multi-Range Sequential Learning Based Dark Image Enhancement with Color Upgradation. Appl. Sci., 13.10.3390/app13021034 ↗
4. Bet-GAT: An Efficient Centrality-Based Graph Attention Model for Semi-Supervised Node Classification10.3390/app13020847 ↗
5. Fuzzy Multicriteria Decision-Making Model Based on Z Numbers for the Evaluation of Information Technology for Order Picking in Warehouses10.3390/app122412533 ↗
6. Xiao, M., Chao, Z., Coelho, R.F., and Tian, S. (2022). Investigation of Classification and Anomalies Based on Machine Learning Methods Applied to Large Scale Building Information Modeling. Appl. Sci., 12.10.3390/app12136382 ↗
7. Vaiyapuri, T., Alaskar, H., Aljohani, E., Shridevi, S., and Hussain, A. (2022). Red Fox Optimizer with Data-Science-Enabled Microarray Gene Expression Classification Model. Appl. Sci., 12.10.3390/app12094172 ↗
8. Hong, T.P., Lin, C.Y., Huang, W.M., Li, S.M., Wang, S.L., and Lin, J.C.W. (2022). A One-Phase Tree-Structure Method to Mine High Temporal Fuzzy Utility Itemsets. Appl. Sci., 12.10.3390/app12062821 ↗
9. Shi, Z.Y., Hon, J.S., Cheng, C.Y., Chiang, H.T., and Huang, H.M. (2022). Applying Machine Learning Techniques to the Audit of Antimicrobial Prophylaxis. Appl. Sci., 12.10.3390/app12052586 ↗
10. Chen, H.C., Prasetyo, E., Tseng, S.S., Putra, K.T., Kusumawardani, S.S., and Weng, C.E. (2022). Week-Wise Student Performance Early Prediction in Virtual Learning Environment Using a Deep Explainable Artificial Intelligence, Week-Wise Student Performance Early Prediction in Virtual Learning Environment Using a Deep Explainable Artificial Intelligence. Appl. Sci., 12.10.3390/app12041885 ↗
11. Bokaba, T., Doorsamy, W., and Paul, B.S. (2022). A Comparative Study of Ensemble Models for Predicting Road Traffic Congestion. Appl. Sci., 12.10.3390/app12031337 ↗
12. Chen, C.H., Lai, W.H., Hung, S.T., and Hong, T.P. (2022). An Advanced Optimization Approach for Long-Short Pairs Trading Strategy Based on Correlation Coefficients and Bollinger Bands. Appl. Sci., 12.10.3390/app12031052 ↗
13. Boinski, T.M., Szymanski, J., and Krauzewicz, A. (2022). Active Learning Based on Crowdsourced Data. Appl. Sci., 12.10.3390/app12010409 ↗
14. Chang, Y.H., Chen, Y.J., Huang, R.H., and Yu, Y.T. (2022). Enhanced Image Captioning with Color Recognition Using Deep Learning Methods. Appl. Sci., 12.10.3390/app12010209 ↗
15. Alghazzawi, D., Bamasag, O., Ullah, H., and Asghar, M.Z. (2021). Efficient Detection of DDoS Attacks Using a Hybrid Deep Learning Model with Improved Feature Selection. Appl. Sci., 11.10.3390/app112411634 ↗
16. Lee, S.-H., and Chen, H.-C. (2021). U-SSD: Improved SSD Based on U-Net Architecture for End-to-End Table Detection in Document Images. Appl. Sci., 11.10.3390/app112311446 ↗
17. Jiang, Z.P., Liu, Y.Y., Shao, Z.E., and Huang, K.W. (2021). An Improved VGG16 Model for Pneumonia Image Classification. Appl. Sci., 11.10.3390/app112311185 ↗
18. Li, K., Peng, Z., Cui, D., and Li, Q. (2021). SLA-DQTS: SLA Constrained Adaptive Online Task Scheduling Based on DDQN in Cloud Computing. Appl. Sci., 11.10.3390/app11209360 ↗
19. Rybak, L., and Dudczyk, J. (2021). Variant of Data Particle Geometrical Divide for Imbalanced Data Sets Classification by the Example of Occupancy Detection. Appl. Sci., 11.10.3390/app11114970 ↗
20. Fernández, E., Rangel-Valdez, N., Cruz-Reyes, L., and Gomez-Santillan, C. (2021). A New Approach to Group Multi-Objective Optimization under Imperfect Information and Its Application to Project Portfolio Optimization. Appl. Sci., 11.10.3390/app11104575 ↗
21. Dilawari, A., Khan, M.U.G., Al-Otaibi, Y.D., Rehman, Z.U., Rahman, A.U., and Nam, Y. (2021). Natural Language Description of Videos for Smart Surveillance. Appl. Sci., 11.10.3390/app11093730 ↗
22. Cotarelo, A., García-Díaz, V., Núñez-Valdez, E.R., González García, C., Gómez, A., and Chun-Wei Lin, J. (2021). Improving Monte Carlo Tree Search with Artificial Neural Networks without Heuristics. Appl. Sci., 11.10.3390/app11052056 ↗