Quantum optimization algorithms for CT image segmentation from X-ray data by Kyungtaek Jun, Hyunju Lee

“…Abstract Computed tomography (CT) is an important imaging technique used in medical analysis of the internal structure of the human body. …”
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A Novel Optimization Approach for Revolutionizing Architectural Design in Chinese Cultural Heritage by Xueyong Li, Xiaoqing Yang

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Generalized Type-2 Fuzzy Approach for Parameter Adaptation in the Whale Optimization Algorithm by Leticia Amador-Angulo, Oscar Castillo, Patricia Melin, Zong Woo Geem

“…The efficiency of a fuzzy WOA with a GT2FLS (FWOA-GT2FLS) is highlighted by presenting the excellent results of the case study of the benchmark function optimization. A relevant analysis and comparison with a bio-inspired algorithm based on artificial bees is also presented. …”
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Predicting Earthquake Casualties and Emergency Supplies Needs Based on PCA-BO-SVM by Fuyu Wang, Huiying Xu, Huifen Ye, Yan Li, Yibo Wang

“…In order to address challenges such as the large computational workload, tedious training process, and multiple influencing factors associated with predicting earthquake casualties, this study proposes a Support Vector Machine (SVM) model utilizing Principal Component Analysis (PCA) and Bayesian Optimization (BO). The original data are first subjected to dimensionality reduction using PCA, with principal components contributing cumulatively to over 80% selected as input variables for the SVM model, while earthquake casualties are designated as the output variable. …”
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Carbon emission prediction method for expressway construction period based on PSO-BP neural network by Quansheng ZHAO, Fei LI, Feng′ai GUO, Jianyou YU, Shizhao XU, Yunpeng HU, Xiaomeng CHU

“…The data from 36 highway projects were used as empirical samples for model training, and a comparative analysis was conducted based on error indicators. The results show that the R2 value of the obtained PSO-BP model is 0.974, while the R2 value of the BP model is 0.890, with the former being closer to 1. …”
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Using the optimal combined index weight ratio to improve the probability of anomaly detection in big area additive manufacturing by Monique S. McClain, Dhrubajit Chowdhury, Omar Eldaghar, Kris Villez

“…We show that approach 1 delivers optimal anomaly detection performance in select cases while approach 2 fares better in practice. …”
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A Brief Overview of Optimal Robust Control Strategies for a Benchmark Power System with Different Cyberphysical Attacks by Bo Hu, Hao Wang, Yan Zhao, Hang Zhou, Mingkun Jiang, Mofan Wei

“…Furthermore, the stability analysis with the NN approximation error, which is rarely discussed in the previous works, is studied in this paper. …”
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Study on the gas outflow pattern and outflow prediction model of the return mining face under complex geological conditions by Yi Sun, Lulin Zheng, Hong Lan, Zhaoxing Yu, Jin Wang, Bo Li, Feng Yang, Fangbo Wen

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Development of an Optimal Machine Learning Model to Predict CO₂ Emissions at the Building Demolition Stage by Gi-Wook Cha, Choon-Wook Park

“…The GBM model also showed excellent results in generalization performance, and it effectively learned the data patterns without overfitting in residual analysis and mean absolute error (MAE) evaluation. …”
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Childhood amblyopia in a tertiary eye care center in western India by Jai A. Kelkar, Harsh H. Jain, Aditya S. Kelkar, Shreekant Kelkar

“…After a median follow-up of 10.00 (6–85)mo, the mean BCVA significantly improved from 0.85±0.41 to 0.55±0.42 logMAR. Subgroup analysis revealed BCVA gain for all etiologies, including refractive errors (P<0.001), strabismus (P<0.001), cataract (P<0.001), and ptosis (P<0.001). …”
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Optimized Multivariate Adaptive Regression Splines for Predicting Crude Oil Demand in Saudi Arabia by Eman H. Alkhammash, Abdelmonaim Fakhry Kamel, Saud M. Al-Fattah, Ahmed M. Elshewey

“…This paper presents optimized linear regression with multivariate adaptive regression splines (LR-MARS) for predicting crude oil demand in Saudi Arabia based on social spider optimization (SSO) algorithm. …”
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An effective parameter estimation on thermoelectric devices for power generation based on multiverse optimization algorithm by Luis Fernando Grisales-Noreña, Vanessa Botero-Gómez, Rubén Iván Bolaños, Faustino Moreno-Gamboa, Daniel Sanin-Villa

“…These results improve over those obtained by the Ant Lion Optimizer, which reported a minimum root mean square error of 0.001804 and a root mean square error of 0.001896 on average with a standard deviation of 3.788%.Additionally, the study highlights the efficiency of the Multiverse Optimization Algorithm in processing time, with an average execution time of 223.65 seconds. …”
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Efficient multi-station air quality prediction in Delhi with wavelet and optimization-based models. by Lakshmi Sankar, Krishnamoorthy Arasu

“…The proposed model integrates Wavelet Transform for frequency pattern extraction, Principal Component Analysis (PCA) for dimensionality reduction, and A hybrid Aquila Optimizer and Arithmetic Optimization (AOAOA) for the selection of pertinent features. …”
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Predictive Model of Humidity in Greenhouses through Fuzzy Inference Systems Applying Optimization Methods by Sebastian-Camilo Vanegas-Ayala, Julio Barón-Velandia, Daniel-David Leal-Lara

“…The three-phase methodology applied made use of descriptive statistics techniques, correlation analysis, and prototyping paradigm for the iterative and incremental development of the predictive model, validated through error measurement. …”
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Optimizing Methanol Injection Quantity for Gas Hydrate Inhibition Using Machine Learning Models by Mohammed Hilal Mukhsaf, Weiqin Li, Ghassan Husham Jani

“…R²), mean absolute error (MAE), and root mean square error (RMSE), were KNN < DT < RF < XGBoost. …”
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Optimized control techniques for enhancing the buck converter performance in lithium-ion battery charging by Anitha K, Balamurugan Parandhaman

“…Performance is assessed based on overshoot percentage, rise time, settling time, current ripple, steady-state error, and integrated error metrics. The proposed ANFIS-PI controller achieved an overshoot of 2.2 %, a settling time of 0.8 ms, and a ripple of 1.583 A, with the lowest integrated absolute error (IAE) of 0.484 under real-time OPAL-RT HIL validation, outperforming other conventional and intelligent control strategies. …”
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Optimizing relay node selection in cooperative wireless body area networks with modified POA by A. Hena Rubavathy, S. Sundar

“…By calculating the Bit Error Rate (BER), we assessed the effectiveness of the optimized relay selection strategy, with the objective of minimizing BER to enhance overall communication reliability. …”
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Coupling of green building construction based on particle Swarm optimizing neural network algorithm by Wang Leigang, Li Shaohua, Wang Liang, Zhang Zheng, Zhou Yuchen, Chang Long

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An advanced CNN-attention model with IFTTA optimization for prediction air consumption of relay nozzles by Shen Min, Shao Ning, Cao Yongbo, Xiong Xiaoshuang, Yang Xuezheng, Wang Zhen, Yu Lianqing

“…The IFTTA-CNN-Attention model stands out with the lowest mean absolute error (MAE) of 0.8686, root mean square error (RMSE) of 1.1027, and the highest determination coefficient (R 2) of 0.9941. …”
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Evaluating Clonal Expansion of HIV-Infected Cells: Optimization of PCR Strategies to Predict Clonality. by Sarah B Laskey, Christopher W Pohlmeyer, Katherine M Bruner, Robert F Siliciano

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