Computational Intelligence and Machine Learning
This Special Issue presents a curated collection of ten research articles that reflect current trends and challenges in computational intelligence and machine learning. The selected works cover a broad spectrum of methods and applications, including personalized recommendation systems, social-aware...
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| Format: | Online |
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| Language: | English |
| Published: |
MDPI - Multidisciplinary Digital Publishing Institute
2025
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| Online Access: | ONIX_20250812T110751_9783725838950_234 |
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| _version_ | 1869530024635269120 |
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| collection | Directory of Open Access Books |
| description | This Special Issue presents a curated collection of ten research articles that reflect current trends and challenges in computational intelligence and machine learning. The selected works cover a broad spectrum of methods and applications, including personalized recommendation systems, social-aware filtering, human motion prediction, automatic speech recognition for under-resourced languages, chatbot frameworks for Arabic natural language understanding, anomaly detection in system logs, and meteorological forecasting. Across these contributions, several themes emerge. Many studies explore the integration of advanced learning architectures, such as transformers, graph neural networks, and retrieval-augmented generation, with domain knowledge to improve performance and generalization. Others focus on addressing practical challenges like data sparsity, bias in AI systems, and the need for lightweight models suitable for low-resource settings. The application domains span travel, healthcare, e-commerce, software engineering, and environmental monitoring, demonstrating the wide-ranging impact of modern AI techniques. Collectively, the papers emphasize not only technical effectiveness but also the importance of interpretability, fairness, and adaptability in real-world deployments. They exemplify the shift toward responsible and context-aware machine learning and offer methodological insights that are relevant for both academic research and industrial innovation. |
| format | Online |
| id | doab-20.500.12854ir-165479 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1654792025-08-12T09:35:10Z Computational Intelligence and Machine Learning Dudek, Grzegorz Arabic natural language understanding deep learning chatbot recommendation system collaborative filtering graph neural networks self-supervised learning multi-task learning machine learning forecasting models meteorological variables Python graph convolution network social recommendation human motion prediction graph convolutional network gated recurrent unit transformers anomaly detection log Sentence-BERT semantic feature soft sets picture fuzzy sets picture fuzzy soft matrices distance measures k-nearest neighbor (kNN) synthetic data artificial data bias fairness AI data generation automatic speech recognition artificial intelligence representation learning Whisper model personality model retrieval augmentation large language models (LLM) travel recommendation n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology This Special Issue presents a curated collection of ten research articles that reflect current trends and challenges in computational intelligence and machine learning. The selected works cover a broad spectrum of methods and applications, including personalized recommendation systems, social-aware filtering, human motion prediction, automatic speech recognition for under-resourced languages, chatbot frameworks for Arabic natural language understanding, anomaly detection in system logs, and meteorological forecasting. Across these contributions, several themes emerge. Many studies explore the integration of advanced learning architectures, such as transformers, graph neural networks, and retrieval-augmented generation, with domain knowledge to improve performance and generalization. Others focus on addressing practical challenges like data sparsity, bias in AI systems, and the need for lightweight models suitable for low-resource settings. The application domains span travel, healthcare, e-commerce, software engineering, and environmental monitoring, demonstrating the wide-ranging impact of modern AI techniques. Collectively, the papers emphasize not only technical effectiveness but also the importance of interpretability, fairness, and adaptability in real-world deployments. They exemplify the shift toward responsible and context-aware machine learning and offer methodological insights that are relevant for both academic research and industrial innovation. 2025-08-12T09:35:08Z 2025-08-12T09:35:08Z 2025 book ONIX_20250812T110751_9783725838950_234 9783725838950 9783725838967 https://directory.doabooks.org/handle/20.500.12854/165479 eng image/jpeg Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/11045 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-3896-7 10.3390/books978-3-7258-3896-7 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725838950 9783725838967 214 open access |
| spellingShingle | Arabic natural language understanding deep learning chatbot recommendation system collaborative filtering graph neural networks self-supervised learning multi-task learning machine learning forecasting models meteorological variables Python graph convolution network social recommendation human motion prediction graph convolutional network gated recurrent unit transformers anomaly detection log Sentence-BERT semantic feature soft sets picture fuzzy sets picture fuzzy soft matrices distance measures k-nearest neighbor (kNN) synthetic data artificial data bias fairness AI data generation automatic speech recognition artificial intelligence representation learning Whisper model personality model retrieval augmentation large language models (LLM) travel recommendation n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Computational Intelligence and Machine Learning |
| title | Computational Intelligence and Machine Learning |
| title_full | Computational Intelligence and Machine Learning |
| title_fullStr | Computational Intelligence and Machine Learning |
| title_full_unstemmed | Computational Intelligence and Machine Learning |
| title_short | Computational Intelligence and Machine Learning |
| title_sort | computational intelligence and machine learning |
| topic | Arabic natural language understanding deep learning chatbot recommendation system collaborative filtering graph neural networks self-supervised learning multi-task learning machine learning forecasting models meteorological variables Python graph convolution network social recommendation human motion prediction graph convolutional network gated recurrent unit transformers anomaly detection log Sentence-BERT semantic feature soft sets picture fuzzy sets picture fuzzy soft matrices distance measures k-nearest neighbor (kNN) synthetic data artificial data bias fairness AI data generation automatic speech recognition artificial intelligence representation learning Whisper model personality model retrieval augmentation large language models (LLM) travel recommendation n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | Arabic natural language understanding deep learning chatbot recommendation system collaborative filtering graph neural networks self-supervised learning multi-task learning machine learning forecasting models meteorological variables Python graph convolution network social recommendation human motion prediction graph convolutional network gated recurrent unit transformers anomaly detection log Sentence-BERT semantic feature soft sets picture fuzzy sets picture fuzzy soft matrices distance measures k-nearest neighbor (kNN) synthetic data artificial data bias fairness AI data generation automatic speech recognition artificial intelligence representation learning Whisper model personality model retrieval augmentation large language models (LLM) travel recommendation n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20250812T110751_9783725838950_234 |