Accuracy Prediction of Compressive Strength of Concrete Incorporating Recycled Aggregate Using Ensemble Learning Algorithms: Multinational Dataset by Menghay Phoeuk, Minho Kwon

“…Although the random forest regression algorithm performed the least well among the four models, it still outperformed conventional machine learning algorithms such as support vector machines and artificial neural networks. …”
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Optimization Design of Body-in-White Stiffness Test Rig Based on the Global Adaptive Algorithm of the Hybrid Element Model by Zhaohui Hu, Shuai Mo, Huang Liu, Fuhao Mo

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Effectiveness of physician-based diagnosis versus diagnostic artificial intelligence algorithms in detecting communicable febrile diseases in Mexico by Enrique Alonso Medina Fuentes, Carmen Alicia Ruíz Valdez, Porfirio Felipe Hernández Bautista, David Alejandro Cabrera Gaytán, Guadalupe Minerva Olivas Fabela, José Alberto Mireles Garza, Olga María Alejo Martínez, Brenda Leticia Rocha Reyes, Alfonso Vallejos Parás, Lumumba Arriaga Nieto, Yadira Pérez Andrade, Leticia Jaimes Betancourt, Gabriel Valle Alvarado, Oscar Cruz Orozco, Mónica Grisel Rivera Mahey

“…Results Diagnostic algorithms were applied to the data of 909 cases. The sensitivities of Mediktor®, an artificial neural network-based algorithm, a medical diagnostic algorithm and a composite diagnostic algorithm were 11.97%, 64.09%, 69.92% and 99.37%, respectively, and the corresponding specificities were 93.43%, 91.24%, 27.01% and 5.11%, respectively. …”
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Investigation of a Multi-Strategy Ensemble Social Group Optimization Algorithm for the Optimization of Energy Management in Electric Vehicles by Aala Kalananda Vamsi Krishna Reddy, Komanapalli Venkata Lakshmi Narayana

“…A multi-strategy ensemble social group optimization algorithm (ME-SGO) to improve the exploration for complex and composite landscapes through distance-based strategy adaption and success-based parameter adaption while incorporating linear population reduction is proposed. …”
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Adoption of Compound Echocardiography under Artificial Intelligence Algorithm in Fetal Congenial Heart Disease Screening during Gestation by Guowei Han, Tianliang Jin, Li Zhang, Chen Guo, Hua Gui, Risu Na, Xuesong Wang, Haihua Bai

“…This research was aimed at exploring the diagnostic and screening effect of composite echocardiography based on the artificial intelligence (AI) segmentation algorithm on fetal congenital heart disease (CHD) during pregnancy, so as to reduce the birth rate of newborns with CHD. …”
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Geometry optimization on the cross section of adhesively bonded thin-walled composite beam subjected to axial crushing load by Xiao Han, Jingru Ye, Shaoqiang Hou, Wenbin Hou

“… Adhesive bonding is widely used in structural connection of composite components due to its capacity to effectively avoid inducing stress concentration and damage in composite components. …”
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A Comparison of Modern Metaheuristics for Multi-Objective Optimization of Transonic Aeroelasticity in a Tow-Steered Composite Wing by Kantinan Phuekpan, Rachata Khammee, Natee Panagant, Sujin Bureerat, Nantiwat Pholdee, Kittinan Wansasueb

“…This study proposes a design procedure for the multi-objective aeroelastic optimization of a tow-steered composite wing structure that operates at transonic speed. …”
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Research on Early Diagnosis Methods for Broiler Chicken Diseases Based on Swarm Intelligence Optimization Algorithms and Random Forest by X Peng, C Chen, L Yu, X Kong, B Sun

“…The optimized parameters were subsequently implemented in the RF classifier training. The composite algorithm reduced feature redundancy by approximately 30% while ensuring the effective retention of critical diagnostic indicators. …”
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Beam Discovery Signal-Based Beam Selection in Millimeter Wave Heterogeneous Networks by Bo Yin, Yanbo Chen, Zufan Zhang, Mengjun Wang, Shaohui Sun

“…Most beam selection algorithms determine the best beam according to the methods of feedback and exhaustive search in a millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) system. …”
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Ensemble deep learning-enabled single-shot composite structured illumination microscopy (eDL-cSIM) by Jiaming Qian, Chunyao Wang, Hongjun Wu, Qian Chen, Chao Zuo

“…Moreover, the reliance of SIM on illumination parameters and algorithmic post-processing renders it vulnerable to reconstruction artifacts, especially at low signal-to-noise ratios. …”
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Active Vibration Control of Laminated Composite Beam Operating in Thermal Environment using PZT-5H Patches by Kuldeep Saini, Ravi Kiran Akumalla, Vinayak Kallannavar, Subhaschandra Kattimani

“…This paper investigates the influence of temperature on the active vibration control of laminated composite cantilever beams using collocative experimental and simulation techniques. …”
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Baseline-Free Damage Imaging for Structural Health Monitoring of Composite Lap Joint Using Ultrasonic-Guided Waves by Mohsen Barzegar, Dario J. Pasadas, Artur L. Ribeiro, Helena G. Ramos

“…Damage imaging algorithms are crucial for evaluating the condition of critical structures such as adhesively bonded joints. …”
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A State-of-the-Art Review on the Freeze–Thaw Resistance of Sustainable Geopolymer Gel Composites: Mechanisms, Determinants, and Models by Peng Zhang, Baozhi Shi, Xiaobing Dai, Cancan Chen, Canhua Lai

“…Freeze–thaw (F-T) resistance, which has a profound influence on the service life of structures, is a crucial indicator for assessing the durability of geopolymer composites (GCs). Consequently, comprehending the F-T resistance of GCs is of the utmost significance for their practical implementation. …”
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Machine Learning Modeling of Foam Concrete Performance: Predicting Mechanical Strength and Thermal Conductivity from Material Compositions by Leifa Li, Wangwen Sun, Askar Ayti, Wangping Chen, Zhuangzhuang Liu, Lauren Y. Gómez-Zamorano

“…This study investigates the quantitative relationship between material composition and the performance of foam concrete based on 170 validated experimental datasets extracted from the existing literature. …”
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Improving resectable gastric cancer prognosis prediction: A machine learning analysis combining clinical features and body composition radiomics by Gianni S.S. Liveraro, Maria E.S. Takahashi, Fabiana Lascala, Luiz R. Lopes, Nelson A. Andreollo, Maria C.S. Mendes, Jun Takahashi, José B.C. Carvalheira

“…Automated segmentation using deep learning algorithms was employed on CT images to analyze body composition in 276 GC patients, retrospectively recruited from the Clinical Hospital of the University of Campinas. …”
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Ecosystem [512]: Acoustic Ecology Surveys as Music by Garrison Gerard

“…These surveys provided more than 10,000 hours of recordings that are processed, compressed, combined, and analyzed before being used as the fundamental material for a music composition for electronics and clarinet. The piece uses multiple strategies such as algorithmic composition to handle the transition from rough acoustic survey recordings to final music product. …”
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Electronic catalog as an object of quality assessment by G. A. Skaruk

“…The author concludes: the modern EC is a complex multicomponent object, which various components require different criteria and methods of quality analysis. The composition of EC components as quality assessment objects and main evaluating indicators for each component are determined: bibliographical databases (including fullness, data identity and relevance, efficiency, completeness of documents’ identifying characteristics, compliance with the bibliographic description rules, entire and depth of document content reflection, stability of indexing); lexicographic databases (including the information search language (ISL) vocabulary completeness and detail, data identity and relevance, correct wording and alignment of the access points, the compliance with requirements of data presentation formats, ISL grammar tools composition and functionality); factographic data (information completeness and accuracy on the availability and location of publication copies, their movement); database management system and information processing s y st em (functional suitability, accessibility, ease of use, application reliability and security, efficiency, mobility); search system (ISL functionality, ease of navigation in the catalog, efficiency of search techniques and algorithms, relevance criteria, completeness and ease of understanding of search instructions, maintaining the system to help users); user interface (completeness of tasks solved by the system, compliance with human capabilities, visibility and functionality of formats, user-friendly modes of operation with the interface, user feedback, comfort, compliance with aesthetic requirements); system for ensuring the reliability of information storage .…”
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Intelligent multi-modeling reveals biological relationships and adaptive phenotypes for dairy cow adaptation to climate change by Robson Mateus Freitas Silveira, Angela Maria de Vasconcelos, Concepta McManus, Luiz Paulo Fávero, Iran José Oliveira da Silva

“…In this study, we develop a systematic methodology with multivariate models and machine learning algorithms to (i) model complex patterns of relationships or multi-phenotypic differences between the thermal environment and thermoregulatory, hormonal, biochemical, hematological and productive responses; and (ii) identify potential associations among biological relationships that may underlie shared and specific phenotypic patterns of adaptive responses. …”
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Algorithm for the development of a multicomponent pharmaceutical substance of plant origin with antimicrobial action: from science search to dosage form by V. A. Filatov, O. Yu. Kulyak, E. I. Kalenikova

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Multi-Population Optimization Framework Based on Plant Evolutionary Strategy and Its Application to Engineering Design Problems by Hongwei Cheng, Jun Li, Xiaoming Zhang, Tingjuan Li, Panpan Zhang

“…Abstract Optimization problems are widespread across various fields, including industry, agriculture, and healthcare. Metaheuristic algorithms (MAs) are commonly employed to solve these problems due to their flexibility and robustness. …”
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