10 天前 - … our hybridmodel in sentiment classification tasks. Additionally, we aim to explore the potential applications of our approach in diverse domains such as market analysis, social …
11 天前 - … Based on the findings, we conclude that hybridmodels like SMOTE-ENN and SMOTE-Tomek outperformed the alternative sampling techniques in terms of the sensitivi-ty metric…
13 天前 - … , water scarcity and other issues related to rainfall. In addition, advances in rainfall prediction … Additionally, hybrid MODWT models are contrasted with hybrid discrete wavelet …
18 天前 - … Search and track problems can be viewed as active information gathering problems. The multi-… We organized MRST problems as hybrid control systems, where the underlying …
25 天前 - … of individual components of the modeling of PEMFC, their issues and limitations, and how they can be significantly improved by hybridmodeling techniques integrating with …
G Chen, X Ding, X Gao, X Li, L Zhou… - The Canadian Journal of … - Wiley Online Library
28 天前 - … develops a novel hybrid deep learning model for scenario deduction analysis. This model aids in … This section analyzes the problems and practical application value of scenario …
A Aman, RS Chhillar, M Alhussein, P Dalal… - Frontiers in Medicine - frontiersin.org
28 天前 - … a performance challenge. This research paper presents a novel hybridmodel for predicting CVD, focusing on an optimal feature set. The proposed model encompasses four …
Z Liao, Y Cai - Energy, Ecology and Environment, 2024 - Springer
31 天前 - … Furthermore, our research offers valuable insights into the challenges and opportunities of merging AR and DT technologies, contributing to the broader discourse on …