Multi-objective recommendation system utilizing a multi-population knowledge migration framework by Liang Chu, Ye Tian

“…In this paper, we propose an innovative multi-objective recommendation algorithm based on a multi-population auxiliary evolution framework, abbreviated as MOEA-MIAE. …”
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Individual health passport storage, sharing and verification scheme based on blockchain by GAO Hancheng, JI Haoyu, GAO Chenhao, HUANG Haiping

“…The scheme also refined the weak consensus mechanism, with an improved algorithm that achieved consensus in merely two stages. …”
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Methodology for determining the bearing capacity of tensioned tubular reinforced concrete elements by Roman Shmyh, Taras Shchur, Mustafa B. Dawood, Adam Idzikowski

“…The aim of this scientific study is to develop a practical algorithm for calculating the load-bearing capacity of tensioned CFST elements.…”
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Crossover operators for molecular graphs with an application to virtual drug screening by Nico Domschke, Bruno J. Schmidt, Thomas Gatter, Richard Golnik, Paul Eisenhuth, Fabian Liessmann, Jens Meiler, Peter F. Stadler

“…Abstract Genetic algorithms are a powerful method to solve optimization problems with complex cost functions over vast search spaces that rely in particular on recombining parts of previous solutions. …”
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An ensemble machine learning-based performance evaluation identifies top In-Silico pathogenicity prediction methods that best classify driver mutations in cancer by Subrata Das, Vatsal Patel, Shouvik Chakravarty, Arnab Ghosh, Anirban Mukhopadhyay, Nidhan K. Biswas

“…Despite the presence of numerous bioinformatic algorithms for estimating mutation pathogenicity, there is significant variation in their assessments. …”
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Deterministic Light Detection and Ranging (LiDAR)-Based Obstacle Detection in Railways Using Data Fusion by Susana Dias, Pedro J. S. C. P. Sousa, João Nunes, Francisco Afonso, Nuno Viriato, Paulo J. Tavares, Pedro M. G. P. Moreira

“…Using a data fusion approach, pre-existing knowledge about the track topography is incorporated into the LiDAR data processing pipeline in conjunction with the DBSCAN clustering algorithm to identify and classify potential obstacles based on point cloud density patterns. …”
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A Hybrid Approach Incorporating WSO-HO and the Newton-Raphson Method to Enhancing Photovoltaic Solar Model Parameters Optimisation by Jeridi Ahmed, Moulahi Mohamed Hedi, Khaterchi Hechmi, Zaafouri Abderrahmen

“…Accurate parameter estimation is vital for optimising the performance and design of photovoltaic (PV) systems. While metaheuristic algorithms (MHAs) offer promising solutions, they often face challenges such as slow convergence and difficulty balancing exploration and exploitation. …”
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Methods for identifying health status from routinely collected health data: An overview by Mei Liu, Ke Deng, Mingqi Wang, Qiao He, Jiayue Xu, Guowei Li, Kang Zou, Xin Sun, Wen Wang

“…One fundamental step in using these data is developing algorithms to identify health status for use in observational studies. …”
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Spatial-temporal evolution characteristics and driving factors of carbon emission prediction in China-research on ARIMA-BP neural network algorithm by Sanglin Zhao, Zhetong Li, Hao Deng, Xing You, Jiaang Tong, Bingkun Yuan, Zihao Zeng

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3D Deployment Optimization of Wireless Sensor Networks for Heterogeneous Functional Nodes by Zean Lu, Chengqun Wang, Peng Wang, Weiqiang Xu

“…The algorithm is compared with the original SBOA, Particle Swarm Optimization (PSO), Whale Optimization Algorithm (WOA), and Northern Goshawk Optimization (NGO). …”
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Verification of subclinical carotid atherosclerosis as part of risk stratification in overweight and obesity: the role of machine learning in the development of a diagnostic algori... by M. A. Druzhilov, T. Yu. Kuznetsova, D. V. Gavrilov, A. V. Gusev

“…MLR analysis was carried out with stepwise inclusion of predictors. ML algorithms were used to create an alternative model.Results. …”
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A Combined Approach Of Adasyn And Tomeklink For Anomaly Network Intrusion Detection System Using Some Selected Machine Learning Algorithms by Nasiru Ige Salihu, Muhammed Nazeer Musa, Awujola J. Olalekan

“…Securing computer networks against malicious attacks requires an efficient Network Intrusion Detection System (IDS). While machine learning techniques are commonly used for anomaly-based intrusion detection, data imbalance challenges conventional algorithms, leading to biased predictions and reduced accuracy. …”
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A study of dominant factors in the coupled coordination of population–ecology–energy–digital economy in China based on random forest algorithm by Qikang Zhong, Jiawei Zhu, Zhe Li

“…Using panel data from 31 Chinese provinces over the period 2011–2020, we construct a PEED coordination index and analyze its evolution through coupling coordination models, spatial autocorrelation (Moran’s I), the Geodetector model, and a Random Forest algorithm with SHAP analysis. Results show a steady improvement in the overall CCD across provinces, although significant regional disparities persist—eastern provinces such as Guangdong and Beijing lead in coordination, while western and northeastern regions lag behind. …”
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Two-Dimensional DOA Estimation for Coprime Planar Arrays: From Array Structure Design to Dimensionality-Reduction Root MUSIC Algorithm by Yunhe Shi, Xiaofei Zhang, Shengxinlai Han

“…This paper proposes a novel sparse array design and an efficient algorithm for two-dimensional direction-of-arrival (2D-DOA) estimation. …”
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The Application of the Convective–Stratiform Classification Algorithm for Feature Detection in Polarimetric Radar Variables and QPE Retrieval During Warm-Season Convection by Ndabagenga Daudi Mikidadi, Xingyou Huang, Lingbing Bu

“…This study employed a convective–stratiform classification algorithm to detect features in polarimetric radar variables and Quantitative Precipitation Estimation (QPE) retrieval during a heavy precipitation event in Crossville, Tennessee, during warm-season convection. …”
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Channel Estimation for Mixed-Analog to Digital Converters Architecture in Massive MIMO Architecture Using Approximate Conjugate Gradient Pursuit Algorithm by Yaseen A. Mohammed Obaidi, Anas L. Mahmood

“…A novel compressive-sensing based algorithm, that is called Approximate Conjugate Gradient Pursuit (ACGP), is proposed to estimate the channel coefficients. …”
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Comparison of the diagnostic performance of two PIVKA-II assays using the GALAD and ASAP algorithms for detecting hepatocellular carcinoma in Chinese patients by Yao Hu, Jiaying Du, Quan Gao, Yi Cen, Qin Liu, Yanwen Chen

“…Design and methods The GALAD HCC detection algorithm depends on the μTASWako PIVKA-II assay, while the ASAP algorithm uses the ARCHITECT PIVKA-II assay. …”
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Economic Load Dispatch of A Multi‐Area Power System Using Multi‐Agent Distributed Optimization Based on Genetic Algorithm by Seyed Yaser Fakhrmousavi, Seyed Babak Mazafari, Shahram Javadi, Mahmood Hosseini Aliabadi

“…The objective of each agent in each area is to minimize generation costs and meet its own area's load demand while maintaining voltage profiles. Each agent sets the power generation values of resources in each area using the genetic algorithm rules and then solves the distributed power flow equations using the proposed method. …”
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Optimization of Dye and Plasticizer Concentrations in Halochromic Sensor Films for Rapid pH Response Using Bird-Inspired Metaheuristic Algorithms by Daeuk Kim, Ronnie S. Concepcion, Joseph Rey H. Sta. Agueda, Jubert C. Marquez

“…Optimization of BTB (0.01–0.05%) and PEG (6–10%) concentrations was conducted using bird-inspired metaheuristic algorithms, including the Parrot Optimizer (PO), Pelican Optimization Algorithm (POA), and Secretary Bird Optimization Algorithm (SBOA). …”
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Greening concept in inventory system for deteriorating items with preservation investment and price and stock dependent demand via marine predators algorithm by Hachen Ali, Gobinda Chandra Panda, Adel Fahad Alrasheedi, Ali Akbar Shaikh, Jeonghwan Gwak

“…To solve it efficiently, this study employs the Marine Predators Algorithm (MPA)—a newly developed metaheuristic algorithm well-suited for continuous, nonlinear optimization. …”
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