Search alternatives:
driven optimization » level optimization (Expand Search), spider optimization (Expand Search)
data process » batch process (Expand Search), water process (Expand Search), due process (Expand Search)
selection » detection (Expand Search)
driven optimization » level optimization (Expand Search), spider optimization (Expand Search)
data process » batch process (Expand Search), water process (Expand Search), due process (Expand Search)
selection » detection (Expand Search)
-
1
Enhanced climate change resilience on wheat anther morphology using optimized deep learning techniques
Published 2024“…The outcomes of the research hold the potential to transform agricultural practices by introducing a more effective, data-driven approach to plant breeding management.…”
-
2
An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems
Published 2024“…Therefore, this process can be seen as an optimization process. The primary goals of feature selection are to decrease the number of dimensions and enhance classification accuracy in many domains, such as text classification, large-scale data analysis, and pattern recognition. …”
Get full text
-
3
-
4
Deep and transfer learning for building occupancy detection: A review and comparative analysis
Published 2022“…Besides, integrating artificial intelligence (AI) into the BIoT is essential for data analysis and intelligent decision-making. Thus, data-driven approaches to infer occupancy patterns usage are gaining growing interest in BIoT applications. …”
-
5
-
6
AI-based remaining useful life prediction and modelling of seawater desalination membranes
Published 2024Get full text
doctoralThesis -
7
A systematic review of recent advances in the application of machine learning in membrane-based gas separation technologies
Published 2024“…The fingerprinting and descriptors are two commonly approach for polymer featurization. In terms of algorithms, <u>neural networks</u> (NNs), random forest (RF), and gaussian process regression (GPR) are among the most extensively applied methods. …”