Optimization algorithm comparison. حسب Wang Linfeng (17102068)

RE for partial flow prediction results of single and dual water level models based on the GA-BP algorithm. حسب Xiying Wang (4859998)

Optimization results of MBB multi-material structure under different methods. (a) A level-set method for multi-material topology optimization [33].... حسب Zhao Li (300229)

"…(a) A level-set method for multi-material topology optimization [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0321100#pone.0321100.ref033" target="_blank">33</a>]. …"

Parameter settings. حسب Qingbo Tu (22641033)

"…<div><p>To improve the intelligent and refined management level of power distribution systems in equipment operation and maintenance as well as emergency support, this work proposes an integrated “prediction-optimization” model that combines genetic algorithm (GA) with machine learning methods. …"

Indicator settings. حسب Qingbo Tu (22641033)

"…<div><p>To improve the intelligent and refined management level of power distribution systems in equipment operation and maintenance as well as emergency support, this work proposes an integrated “prediction-optimization” model that combines genetic algorithm (GA) with machine learning methods. …"

Parameter sets of the chosen algorithms. حسب WanRu Zhao (18980374)

"…According to the encouraging research results in this paper, the IERWHO algorithm proposed has a place in the field of optimization.…"

The flow chart of IERWHO algorithm. حسب WanRu Zhao (18980374)

"…According to the encouraging research results in this paper, the IERWHO algorithm proposed has a place in the field of optimization.…"

The flow chart of WHO algorithm. حسب WanRu Zhao (18980374)

"…According to the encouraging research results in this paper, the IERWHO algorithm proposed has a place in the field of optimization.…"

Function graph and algorithm iterative graph. حسب WanRu Zhao (18980374)

"…According to the encouraging research results in this paper, the IERWHO algorithm proposed has a place in the field of optimization.…"

The convergence curves of all the 10 algorithms. حسب WanRu Zhao (18980374)

"…According to the encouraging research results in this paper, the IERWHO algorithm proposed has a place in the field of optimization.…"

Algorithm flow of the GA-BPNN model. حسب Xiying Wang (4859998)

"…<div><p>This work explores an intelligent field irrigation warning system based on the Enhanced Genetic Algorithm—Backpropagation Neural Network (EGA-BPNN) model in the context of smart agriculture. …"

A* Path-Finding Algorithm to Determine Cell Connections حسب Max Weng (22327159)

"…</p><p dir="ltr">Astrocytes were dissociated from E18 mouse cortical tissue, and image data were processed using a Cellpose 2.0 model to mask nuclei. …"

Image processing workflow. حسب Denis Tamiev (7404980)

"…<p>Raw fluorescent microscope images (a) were processed with a binary segmentation algorithm, and clusters of bacterial cells were manually annotated. …"

AI Algorithm Workflow: Image pre-processing with highest pixel intensity identification (a), RGB channel breakdown, Fluorescence isolation and grayscale conversion (b), Computation... حسب Gareth Gallagher (20874910)

Unsupervised Machine Learning Neural Gas Algorithm for Accurate Evaluations of the Hessian Matrix in Molecular Dynamics حسب Michele Gandolfi (11613834)

"…The algorithm belongs to the family of unsupervised machine learning methods, and it is based on the neural gas idea, where neurons are molecular configurations whose Hessians are adopted for groups of molecular dynamics configurations with similar geometries. …"

SNR comparison of real-field seismic profile. حسب Zhenjing Yao (22189970)

"…We propose a novel seismic random noise suppression method based on enhanced variational mode decomposition (VMD) with grey wolf optimization (GWO) algorithm, which applies the envelope entropy to evaluate the wolf individual fitness, determine the grey wolf hierarchy, and obtain the optimized key elements <i><i>K</i></i> and <i>α</i> in VMD. …"

Table 2_Intelligent grading of sugarcane leaf disease severity by integrating physiological traits with the SSA-XGBoost algorithm.docx حسب Xinrui Wang (488330)

"…</p>Methods<p>In this study, we propose an intelligent method for identifying sugarcane foliar disease severity based on physiological traits. Field-collected data—including Soil and Plant Analyzer Development (SPAD) values, leaf surface temperature, and nitrogen content—were acquired using a plant nutrient analyzer (TYS-4N) from sugarcane leaves infected with brown stripe disease, ring spot disease, and mosaic disease at four severity levels (mild, moderate, moderately severe, and severe). …"

Table 1_Intelligent grading of sugarcane leaf disease severity by integrating physiological traits with the SSA-XGBoost algorithm.xlsx حسب Xinrui Wang (488330)

"…</p>Methods<p>In this study, we propose an intelligent method for identifying sugarcane foliar disease severity based on physiological traits. Field-collected data—including Soil and Plant Analyzer Development (SPAD) values, leaf surface temperature, and nitrogen content—were acquired using a plant nutrient analyzer (TYS-4N) from sugarcane leaves infected with brown stripe disease, ring spot disease, and mosaic disease at four severity levels (mild, moderate, moderately severe, and severe). …"

Kurtograms of different signals. حسب Hang Zhao (143592)

State-Targeted Energy Projection: A Simple and Robust Approach to Orbital Relaxation of Non-Aufbau Self-Consistent Field Solutions حسب Kevin Carter-Fenk (6690314)

"…Here, we introduce an alternative procedure called state-targeted energy projection (STEP) that is based on level shifting and is identical in cost to a normal SCF procedure, yet converges in numerous cases where MOM suffers variational collapse. …"