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codon optimization » dog optimization (Expand Search), motor optimization (Expand Search), igdt optimization (Expand Search)
were optimization » swarm optimization (Expand Search), whale optimization (Expand Search), level optimization (Expand Search)
basic » basis (Expand Search)
codon optimization » dog optimization (Expand Search), motor optimization (Expand Search), igdt optimization (Expand Search)
were optimization » swarm optimization (Expand Search), whale optimization (Expand Search), level optimization (Expand Search)
basic » basis (Expand Search)
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1
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. …”
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2
Use data Mining Techniques to Predict Users’ Engagement on the Social Network Posts in The Period Before, During and After Ramadan
Published 2017“…Different classification algorithms were applied to the dataset using the Rapidminer tool. …”
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3
Intelligent route to design efficient CO<sub>2</sub> reduction electrocatalysts using ANFIS optimized by GA and PSO
Published 2022“…The primary purpose of this study is to establish a new model through machine learning methods; namely, adaptive neuro-fuzzy inference system (ANFIS) combined with particle swarm optimization (PSO) and genetic algorithm (GA) for the prediction of *CO (the key intermediate) adsorption energy as the efficiency metric. …”
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4
Deep and transfer learning for building occupancy detection: A review and comparative analysis
Published 2022“…Moreover, the paper conducted a comparative study of the readily available algorithms for occupancy detection to determine the optimal method in regards to training time and testing accuracy. …”
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5
AI-based remaining useful life prediction and modelling of seawater desalination membranes
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