CF-YOLO for small target detection in drone imagery based on YOLOv11 algorithm by Chengcheng Wang, Yuqi Han, Chenggui Yang, Mingjie Wu, Zaiqing Chen, Lijun Yun, Xuesong Jin

“…Abstract Images captured from a drone’s perspective are significantly impacted in terms of target detection algorithm performance due to the notable differences in target scales and the presence of numerous small target objects lacking detailed information. …”
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Generic multidimensional economic environmental operation of power systems using equilibrium optimization algorithm by Mohamed T. Mouwafi, Adel A. Abou El-Ela, Amany A. El-Hamoly, Ragab A. El-Sehiemy

“…Abstract The economic emission load dispatch (EELD) problem is one of the main challenges to power system operators due to the complexity of the interconnected power systems and the non-linear characteristics of the objective functions (OFs). …”
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Algorithms for Load Balancing in Next-Generation Mobile Networks: A Systematic Literature Review by Juan Ochoa-Aldeán, Carlos Silva-Cárdenas, Renato Torres, Jorge Ivan Gonzalez, Sergio Fortes

“…In this context, we identify the main topics related to cellular networks and machine learning algorithms in order to pinpoint areas where the optimization of parameters is crucial. …”
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Exploring IRGs as a Biomarker of Pulmonary Hypertension Using Multiple Machine Learning Algorithms by Jiashu Yang, Siyu Chen, Ke Chen, Junyi Wu, Hui Yuan

“…Results: Among the 113 machine learning algorithms, the Lasso + LDA model achieved the highest AUC of 0.741. …”
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Retracted: An Enhanced Hybrid Glowworm Swarm Optimization Algorithm for Traffic-Aware Vehicular Networks by Pratima Upadhyay, Venkatadri Marriboina, Shiv Kumar, Sunil Kumar, Mohd Asif Shah

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Fitting Penalized Estimator for Sparse Covariance Matrix with Left-Censored Data by the EM Algorithm by Shanyi Lin, Qian-Zhen Zheng, Laixu Shang, Ping-Feng Xu, Man-Lai Tang

“…To address this issue, we treat censored data as a special case of incomplete data and employ the Expectation Maximization algorithm combined with the coordinate descent algorithm to efficiently fit the two penalized estimators. …”
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An optimized cubic B-spline algorithm for high-precision approximation of nonlinear transport phenomena by Rabia Noureen, Muhammad Kashif Iqbal, Maryam Asgir, Bandar Almohsen, Muhammad Azeem, Husam A. Neamah

“…The straightforward algorithm, high accuracy and minimal computational efforts are the major advantages of this approach. …”
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A Track Segment Association Method Based on Heuristic Optimization Algorithm and Multistage Discrimination by Yiming Chen, Zhikun Zhang, Hui Zhang, Weimin Huang

“…This dual approach is further complemented by an iterative discrimination mechanism that evaluates unselected tracklets to identify potential associations that may exist. The algorithm effectiveness of the proposed is validated using field experiment data from HFSWR in the Bohai Sea region, demonstrating its capability to accurately process complex tracklet data.…”
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Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss by Rui Zhang, Yuanbing Guo, Xiaonan Zhai, Juan Wang, Xiaoyan Hao, Liu Yang, Lei Zhou, Jiawei Gao, Jiayun Liu

“…The model for potential pregnancy loss was also developed using five machine learning algorithms and was based on 7 indicators. According to the results obtained from the testing set, the sensitivity was higher than 92.02%, the specificity was higher than 95.18%, the accuracy was higher than 94.34%, and the AUC was higher than 0.972.ConclusionThe simplicity, good diagnostic performance, and high sensitivity of the models presented here may facilitate early detection, treatment, and prevention of infertility and pregnancy loss.…”
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An improved Red-billed blue magpie feature selection algorithm for medical data processing. by Chenyi Zhu, Zhiyi Wang, Yinan Peng, Wenjun Xiao

“…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”
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Augmented secretary bird optimization algorithm for wireless sensor network deployment and engineering problem. by Qingwen Meng, Xi Kuang, Zihan Yu, Minghui He, Hanzhi Cui

“…This study develops an enhanced Secretary Bird Optimization Algorithm (ASBOA) based on the original Secretary Bird Optimization Algorithm (SBOA), aiming to further improve the solution accuracy and convergence speed for wireless sensor network (WSN) deployment and engineering optimization problems. …”
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Development of immune-derived molecular markers for preeclampsia based on multiple machine learning algorithms by Zhichao Wang, Long Cheng, Guanghui Li, Huiyan Cheng

“…Our results indicate that these biomarkers may outperform previously reported molecular signatures in predicting PE and provide insights into the mechanisms underlying immune dysregulation in PE. …”
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Exploration of geo-spatial data and machine learning algorithms for robust wildfire occurrence prediction by Svetlana Illarionova, Dmitrii Shadrin, Fedor Gubanov, Mikhail Shutov, Usman Tasuev, Ksenia Evteeva, Maksim Mironenko, Evgeny Burnaev

“…However, solutions that utilize more comprehensive environmental data, remote sensing information, and artificial intelligence (AI) algorithms may offer substantial advantages for rapid decision-making and extensive territory monitoring. …”
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Personalized Recommendation Algorithm for Cultural and Creative Products Based on Fuzzy Decision Support System by Lin Shi, Xiaoqing Yang

“…Hence, this study proposes a fuzzy context-aware neural recommendation algorithm (F-CANRA) to analyze consumers’ purchase behaviors regarding cultural and creative products (CCPs). …”
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Explainable machine learning algorithm to predict cardiovascular event in patients undergoing peritoneal dialysis by Qiqi Yan, Guiling Liu, Ruifeng Wang, Dandan Li, Xiaoli Chen, Jingjing Cong, Deguang Wang

“…Conclusion The RSF model may be a useful method for evaluating CVE risk in PD patients.…”
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Application of Improved Electromagnetism-like Mechanism Algorithm on Massive Remote Sensing Image Screening by Yingjie Fang, Kun Liu, Xun Zhang, Gang Lin, Huibing Wang, Lina Dong, Su Li

“…To improve the screening efficiency, people usually adopt the greedy algorithm for data screening, which may lead to becoming trapped in a local optimal solution. …”
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EPS Current Tracking Method Research Based on Hybrid Sensitivity H∞ Control Algorithm by Hairong Wu, Guangfei Xu, Jian Wu, Xue Han, Jiwei Feng, Shifu Liu, Linglong Bu

“…For electric power steering system (EPS), road interference, noise of the sensor, and the uncertainty of the steering system may make EPS control effect and the driver's road sense worse. …”
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Design and Implementation of Mobile Experiment Algorithm Designer Interface for Network Control System Laboratory by Jahan Zaib Bhatti, Guo-Ping Liu, Shafqat Ali, Nasim Ullah, Ivo Pergl, Lukas Prokop, Vojtech Blazek

“…The application integrates with NCSLab’s back-end services for physical experiments with their output response readily available on mobile devices. Thus, it may serve as an excellent educational tool for students and researchers providing on-the-go accessibility, flexibility and customization of experiment algorithm design for NCSLab resources. …”
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MP-LLAVRec: an agricultural product recommendation algorithm based on LLAVA and user modal preference by Peishan Li, Peishan Li, Peishan Li, Lutao Gao, Lutao Gao, Lutao Gao, Lilian Zhang, Lilian Zhang, Lilian Zhang, Lin Peng, Lin Peng, Lin Peng, Chunhui Bai, Chunhui Bai, Chunhui Bai, Linnan Yang, Linnan Yang, Linnan Yang

“…However, the following three problems still exist in the traditional agricultural product recommendation domain: (1) the problem of missing modalities made it difficult for consumers to intuitively and comprehensively understood the product information; (2) most of them relied on shallow information about the basic attributes of agricultural products and ignored the deeper associations among the products; (3) they ignored the deeper connections among individual users and the intrinsic associations between the user embedding and the localized user representation in different modalities, which affected the accuracy of user modeling and hindered the final recommendation effect.MethodsTo address these problems, this paper innovatively proposed an agricultural product recommendation algorithm based on LLAVA and user behavioral characteristics, MP-LLaVRec(Modal Preference - Large Language and Vision Recommendation). …”
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Multistep PV power forecasting using deep learning models and the reptile search algorithm by Sameer Al-Dahidi, Hussein Alahmer, Bilal Rinchi, Abdullah Bani-Abdullah, Mohammad Alrbai, Osama Ayadi, Loiy Al-Ghussain

“…Further, RSA was benchmarked against the Whale Optimization Algorithm (WOA), Gray Wolf Optimizer (GWO), and Constrained Particle Swarm Optimization (CPSO), and consistently outperformed all three across all models in both forecasting horizons. …”
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