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1. Ensemble Feature Engineering and Deep Learning for Botnet Attacks Detection in the Internet of Things NSTL国家科技图书文献中心

Mir Aman Sheheryar |  Sparsh Sharma -  《Transactions on Emerging Telecommunications Technologies》 - 2025,36(3) - e70099~ - 共43页

摘要: ensemble feature engineering method for effective feature |  botnet attacks, the ensemble feature engineering method |  99.82%. Moreover, the ensemble feature engineering |  feature removal is applied to further refine the feature |  feature set is validated by means of deep learning
关键词: Artificial intelligence |  Botnets |  Deep learning |  Ensemble feature engineering |  Forensic investigation |  Internet of things |  Proficient feature selection |  Recursive feature removal

2. A Phishing Website Detection System Based on Hybrid Feature Engineering with SHAP Explainable Artificial Intelligence Technique NSTL国家科技图书文献中心

Norah Alsuqayh |  Abdulrahman Mirza... -  《Web Information Systems Engineering - WISE 2024 PhD Symposium,Demos and Workshops》 -  International Conference on Web Information Systems Engineering - 2025, - 3~17 - 共15页

摘要: new hybrid feature engineering methods that help |  combining diverse feature types, a detection system can |  to interpret the behavior of the hybrid feature |  engineering by quantifying the impact of individual features | Today, phishing website attacks have emerged
关键词: Feature engineering |  Hybrid features |  EXplainable artificial intelligence (XAI) |  SHapley additive exPlanations (SHAP) |  Phishing detection |  Classification model

3. Enhancing UAS-Based Multispectral Semantic Segmentation Through Feature Engineering NSTL国家科技图书文献中心

Elena Vollmer |  Mishal Benz... -  《IEEE journal of selected topics in applied earth observations and remote sensing》 - 2025,18 - 6206~6216 - 共11页

摘要: itself. This article investigates how feature |  engineering (FE), the process of adapting raw data to serve | Deep learning (DL) is one of the key tools for |  analyzing images beyond the visible light spectrum, such |  as thermal data, for energy-related inspection and
关键词: Iron |  Sensors |  Remote sensing |  Heating systems |  Cameras |  Urban areas |  Semantic segmentation |  Image resolution |  Adaptation models |  Temperature sensors

4. Enhanced power demand forecasting for Bangladesh: using feature engineering associated with environmental and economic impact NSTL国家科技图书文献中心

Muhammad Tanveer,Isl... |  Sartaj Aziz,Turja... -  《Journal of Data,Information and Management》 - 2025,7(1) - 1~19 - 共19页

摘要:Forecasting power demand is crucial for |  developing countries like Bangladesh for various reasons |  including resource planning due to limited resources | . Limited research was found on short-term power demand |  forecasting of Bangladesh. In this study, a preprocessing
关键词: MTLF |  LSTM |  Random forest |  FB-prophet |  Feature engineering |  Economic effect |  Environmental effect |  Day peak |  Evening peak

5. Wearable Sensor-based physical activity intensity recognition using deep learning feature engineering fusion NSTL国家科技图书文献中心

Qiu, Jia-Gang |  Li, Yi... -  《Measurement》 - 2025,241(Pt.1) - 115663.1~115663.10 - 共10页

摘要: deep learning feature engineering. The results laid a |  without feature extraction. This study demonstrated the | Wearable devices have been widely utilized in |  areas such as rehabilitation medicine. These devices |  rely on algorithmic models to detect and provide
关键词: Intensity recognition |  Deep learning |  Deep subdomain adaptation network |  Feature extraction

6. Complexity, interpretability and robustness of GP-based feature engineering in remote sensing NSTL国家科技图书文献中心

Batista, Joao E. |  Pindur, Adam K.... -  《Swarm and Evolutionary Computation》 - 2025,92 - 101761.1~101761.15 - 共15页

摘要:Feature engineering is a crucial step in | ., decision trees) can perform several splits in the feature |  in the feature space. Like other authors, we use |  machine learning that provides better data for the |  learning algorithms to induce robust models, and this
关键词: Genetic programming |  Remote sensing |  Model complexity |  Model interpretability |  Feature construction |  Forest degradation |  Classification |  Time series

7. Feature engineering-driven multi-scale voltage anomaly detection for Lithium-ion batteries in real-world electric vehicles NSTL国家科技图书文献中心

Li S. |  Zhang C.... -  《Applied energy》 - 2025,377(Jan.1 Pt.C) - 1.1~1.18 - 共18页

摘要: voltage anomalies using feature engineering is proposed |  method is designed to distill the optimal feature set | © 2024Battery fault diagnosis and thermal |  runaway warnings hold significant implications for the |  safety of electric vehicles. However, developing a
关键词: Anomaly detection |  Dimensionless Indicator |  Electric vehicle |  Lithium-ion battery

8. Feature engineering and selection for prosumer electricity consumption and production forecasting: A comprehensive framework NSTL国家科技图书文献中心

Wen Q. |  Liu Y. -  《Applied energy》 - 2025,381(Mar.1) - 1.1~1.12 - 共12页 - 被引量:1

摘要: developed, employing feature generation techniques to |  emphasizes the importance of feature selection and the |  demonstrate that targeted feature selection significantly |  consumption and production predictions. Feature selection | © 2024 The AuthorsThe integration of
关键词: Energy prediction |  Feature generation |  Feature importance |  Feature selection |  Prosumer

9. An Ensemble Modelling of Feature Engineering and Predictions for Enhanced Fake News Detection NSTL国家科技图书文献中心

Patricia Asowo |  Sangeeta Lal... -  《Artificial Intelligence XLI,Part II》 -  SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence - 2025, - 225~231 - 共7页

摘要: feature selection from news content and social contexts | The threat of fake news jeopardizing the |  credibility of online news platforms, particularly on social |  media, underscores the need for innovative solutions | . This paper proposes a creative engine for detecting
关键词: Fake news |  Machine learning |  Grid search

10. Ultra-short-term prediction for wind power via intelligent reductional reconfiguration of wind conditions and upgraded stepwise modelling with embedded feature engineering NSTL国家科技图书文献中心

Hu Y. |  Fang F.... -  《Renewable energy》 - 2025,240(Feb.) - 1.1~1.14 - 共14页

摘要: of wind farms is realized, yielding several feature |  (PWARX) structure, yielding a kind of embedded feature |  engineering processing to input-output data. As a result | © 2024 Elsevier LtdWith the increasing |  penetration of grid-connected wind power, its ultra-short
关键词: Feature wind conditions |  Receding interval prediction |  Temporal finite difference modelling |  Ultra-short-term power prediction |  Wind power generation
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