Enhancing Explainable Artificial Intelligence: Using Adaptive Feature Weight Genetic Explanation (AFWGE) with Pearson Correlation to Identify Crucial Feature Groups by Ebtisam AlJalaud, Manar Hosny

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Pembentukan Model Pohon Keputusan pada Database Car Evaluation Menggunakan Statistik Chi-Square by Retno Maharesi

“…This is possible because its formation is based on the statistical inferential method, so it does not require a separate pruning process as an addition step in the C4.5 algorithm, which actually this algorithm also considers aspects of the statistical significance.…”
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An association rule-based approach for frequent item mining of multi-stage access data by Silong Wu

“…The database needs to be scanned multiple times by traditional Apriori algorithms to generate candidate itemsets, resulting in significantly reduced efficiency, but also have too simple a support threshold setting, which fails to fully consider the importance and differences of different itemsets in practical business, thereby affecting the accuracy of frequent item mining. …”
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An Enhanced Measurement of Epicardial Fat Segmentation and Severity Classification using Modified U-Net and FOA-guided XGBoost by Rajalakshmi K, Palanivel Rajan S

“…In addition, a metaheuristic optimization algorithm from falcon optimization algorithm (FOA) is used for efficient feature selection. …”
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Experimental Study on Wind Acceleration Effect in Wind Farms with Complex Terrain by Xiaosheng YAN, Yue LI, Xiaoxia GAO, Xi WANG

“…Experimental results show that the acceleration effect is related to the altitude of the slope, and the measured acceleration ratio at high altitudes is only about 16.9% of that predicted by Taylor’s original algorithm. Moreover, both the slope and the wind direction are also factors affecting the acceleration effect. …”
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A Feature Engineering Framework for Smart Meter Group Failure Rate Prediction by Yihong Li, Xia Xiao, Zhengbo Zhang, Wenao Liu

“…The experimental results demonstrate that the proposed method not only reduces the number of features (25→7) but also improves the prediction accuracy (MSE: 0.0049 → 0.0042, R²: 0.6638 → 0.7228) of smart meter group failure rates. …”
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A stacked ensemble approach with resampling techniques for highly effective fraud detection in imbalanced datasets by Idongesit E. Eteng, Udeze L. Chinedu, Ayei E. Ibor

“…Undetected fraud cases also account for the loss of several millions of dollars annually. …”
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Enhanced Conditional Ground Motion Selection Model Considering Spectral Compatibility and Variability of Three Components for Multi-Directional Analysis by Ahmet Demir, Mehmet Palanci, Ali Haydar Kayhan

“…In this study, the solution model based on the stochastic harmony search algorithm was proposed to obtain real ground motion (GM) records for nonlinear dynamic analysis of structures. …”
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Overcoming negative weighting in uncertainty-based methods: a multi-uncertainty clustering method for evidence fusion by Zhike Qiu, Yuhao Qin, Zichong Chen, Luping Zeng, Rui Cai

“…These selected measures are calculated for evidence sources and then input into an improved K-Means algorithm for evidence clustering. For each formed evidence cluster, average evidence is generated to enhance the expression of intra-cluster common features. …”
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Security protection method based on mimic defense and Paillier encryption for smart IoT terminals by GU Tiansheng, ZENG Fukang, SHAO Sisi, NIE Yijun, JI Zongkai, ZHENG Yulu, SHI Yuchen, LIU Shangdong, JI Yimu

“…During data encryption, it employed blind factor technology to execute a blind signature, rendering ciphertext information indecipherable even if an attacker obtained access to the decryption key of the Paillier encryption algorithm. It also effectively supported the efficient and reliable transmission of data of the intelligent IoT devices. …”
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Development of an efficient method for object detection and localization in 3D space using RGBD cameras for autonomous systems by Nataliya Boyko

“…The practical significance of the proposed method lies in its potential application in mobile robotics, automated warehouse systems, and machine vision systems where high autonomy and precision are required. The algorithm can also be adapted to a broader range of tasks due to its flexible hyperparameter tuning. …”
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A Bi-Level Programming-Based Method for Service Composition Optimization of Collaborative Manufacturing of Sewing Machine Cases by Gan Shi, Shanhui Liu, Keqiang Shi, Langze Zhu, Zhenjie Gao, Jiayue Zhang

“…We analyze the structure and production process of sewing machine cases, determine the required service composition of manufacturing resources, and establish the evaluation indicator system of manufacturing service composition in line with the interests of multiple parties. We also introduce the idea of bi-level programming, construct the optimization model of manufacturing service composition of sewing machine cases based on bi-level planning, analyze the characteristics of NSGA-Ⅱ (Non-dominated Sorting Genetic Algorithm II) algorithm and the improvement strategy, and complete the solution of the optimization model of manufacturing service composition of sewing machine cases. …”
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Advancing sustainable mobility: Dynamic predictive modeling of charging cycles in electric vehicles using machine learning techniques and predictive application development by Biplov Paneru, Durga Prasad Mainali, Bishwash Paneru, Sanjog Chhetri Sapkota

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A Multi-Objective Optimization Study on a Certain Lecture Hall Based on Thermal and Visual Comfort by Hui Xi, Shichao Guo, Wanjun Hou, Bo Wang

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Chronic thromboembolic pulmonary hypertension after an acute pulmonary embolism: fundamental concepts of diagnosis and review of current treatment options by N. A. Cherepanova, D. V. Duplyakov

“…The favorable safety profile of the drug was also demonstrated in the long-term follow-up in routine clinical practice (EXPERT registry). …”
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Transforming aged care in China: insights from a TF-IDF-based data mining analysis of national policies (2018–2022) by Zhihan Liu, Hebin Li, Ziyan Zhang, Lu Ping, Wenxin Gu, Yuan Yao

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Development of interaction model for air traffic controllers and pilots using discrete mathematics methods by A. I. Stepnova, V. I. Kochergin, S. M. Stepanov, V. A. Borsoev

“…The purpose of the article is to create a database of errors and to develop an algorithm for a situational decision-making model taking into account availability of potential errors of air traffic controllers and pilots. …”
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Optimizing drawing frame variables to enhance polyester spun yarn quality using soft computing techniques by Mohsen Rezahasani, Habib Amiri Savadroodbari, Milad Razbin, Majid Safar Johari

“…The findings not only enhance yarn quality with greater precision and efficiency but also offer valuable insights applicable to broader textile manufacturing processes.…”
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Thermodynamic calculation-assisted design of 500 MPa high performance steel by machine learning by Weiyi Gong, Jinshan He, Fan Wang, Xitao Wang

“…Meanwhile, the method of combining the material database and ML proposed in this study can also be applied to the design of other low-alloy steels.…”
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Development of an Automated Phase-Shifting Interferometer Using a Homemade Liquid-Crystal Phase Shifter by Zhenghao Song, Lin Xu, Jing Wang, Xitong Liang, Jun Dai

“…The system is controlled by an STM32 microcontroller and self-developed measurement software, and it utilizes a four-step phase-shift interferometry algorithm and the CPULSI phase-unwrapping algorithm to achieve automatic phase measurements. …”
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