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Swarm intelligence optimization algorithm has been proved to perform well in the field of parameter optimization. In order to further improve the performance of intelligent optimization algorithm, this paper proposes an improved and adaptive tunicate swarm algorithm (IMATSA) based on tunicate swarm algorithm (TSA). IMATSA improves TSA in the following four aspects: population diversity, local search convergence speed, jumping out of local optimal position, and balancing global and local search. Firstly, IMATSA adopts Tent map and quadratic interpolation to initialize population and enhance the diversity. Secondly, IMATSA uses Golden-Sine algorithm to accelerate the convergence of local search. Thirdly, in the process of global development, IMATSA adopts Levy flight and the improved Gauss disturbance method to adaptively improves and coordinates the ability of global development and local search. Then, this paper verifies the performance of IMATSA based on 14 benchmark functions experiment, ablation experiment, parameter optimization experiments of Support Vector Machine (SVM) and Gradient Boosting Decision Tree (GBDT), Wilcoxon signed rank test and image multi-threshold segmentation experiment with the performance metrics are convergence speed, convergence value, significance level P-value, Peak Signal-to-Noise Ratio (PSNR) and Standard Deviation (STD). Experimental results show that IMATSA performs better in three kinds of benchmark functions; each component of IMATSA has a positive effect on the performance; IMATSA performs better in parameter optimization experiments of SVM experiment and GBDT; there is significant difference between IMATSA and other algorithms by Wilcoxon signed rank test; in image segmentation, the performance is directly proportional to the number of thresholds, and compared with other algorithms, IMATSA has better comprehensive performance. [ABSTRACT FROM AUTHOR]

Aiming at the problem that the cement production process is inherently affected by uncertainty, time delay, and strong coupling among variables, this paper proposed a novel soft sensor of free calcium oxide in a cement clinker. The model utilizes a dual-parallel integrated structure with an optimized integration of one-dimensional convolutional neural networks, long and short-term memory networks, graphical neural networks, and extreme gradient boosting. The proposed model can mitigate the risks associated with overfitting while incorporating the strengths of each individual model and excels in extracting both local and global features as well as temporal and spatial characteristics from the original time series data, ensuring its stability. The experimental results demonstrate that this dual-parallel integrated model exhibits superior robustness, predictive accuracy, and generalization capabilities when compared to single models or enhancements made to other deep learning algorithms. [ABSTRACT FROM AUTHOR]

Robust antifogging films have significant potential for a wide range of applications on the surfaces of transparent materials. Nevertheless, currently either their preparation methods are complex or their mechanical properties such as hardness, wear, scrub and water resistance are yet to be improved before they can be applied in practical applications. In this work, we have developed a facile room temperature approach to fabricating free-standing films of excellent antifogging properties and mechanical robustness. Glutaraldehyde (GA) was used to cross-link polyvinyl alcohol (PVA) and ultraviolet (UV) light was applied to initiate polymerization of poly (ethylene glycol) diacrylate (PEGDA), leading to robust interpenetrating networks (IPN). The films also had excellent mechanical properties with pencil hardness up to 8H, Taber wear-resistance up to 10,000 cycles, and sponge scrub resistance up to 300 cycles. The tensile strength and tearing strength of films reached as high as 100 MPa and 700 kN/m, respectively, much higher than those of free-standing films reported so far. This approach may hold great potential for broad application on various substrates, particularly those with low glass transition temperatures (e.g., transparent plastic films). It may expand the possibilities for future applications of free-standing antifogging films for screens, optical lenses and so on. [Display omitted] • A facile approach to fabricating free-standing films of excellent antifogging properties and mechanical robustness. • Pencil hardness up to 8H, Taber wear-resistance up to 10,000 cycles, and sponge scrub resistance up to 300 cycles. • The tensile strength and tearing strength of films reached as high as 100 MPa and 700 kN/m, respectively. • The current work is the first report of freestanding interpenetrating films with excellent mechanical robustness. [ABSTRACT FROM AUTHOR]