Method of forming a business model of corporate integrated structures and developing algorithms and models of its validity by A. E. Vostroknutov, V. I. Loyko

“…The article presents the results of developing a methodology for forming a business model of corporate integrated structures based on the A. Osterwalder’s approach, supplemented by mathematical models for calculating revenue streams, the number of loyal customers, the depth, breadth and competitiveness of the value proposition. …”
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Electric vehicle braking energy recovery control method integrating fuzzy control and improved firefly algorithm. by Jinfeng Xiong, Jingbin Song, Zhiqiang Zhang

“…Therefore, an electric vehicle braking energy recovery control model that integrates fuzzy control algorithm with genetic firefly algorithm is proposed. …”
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A hydraulic control system integrating adaptive and PWM algorithms for hydro-mechanical continuously variable transmission by Jingjun Cui

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Research on coal mine robot positioning algorithm based on integration of ORB-SLAM3 vision and inertial navigation by Wei CHEN, Shuaida WU, Zijian TIAN, Fan ZHANG, Yi LIU

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Path planning of intelligent tennis ball picking robot integrating twin network target tracking algorithm by Zegang Wang

“…Therefore, this study proposes an intelligent tennis ball picking robot path planning method that integrates a twin network object tracking algorithm. …”
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Differences in emotional expression among college students: a study on integrating psychometric methods and algorithm optimization by Xiaozhu Chen

“…Conclusion This article was based on the integration of psychometric methods and algorithm optimization techniques, exploring the differences in emotional expression among college students, providing new ideas for personalized mental health interventions for college students, enriching the theoretical basis of emotional expression research, and providing important references for education and mental health practice.…”
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Generalized solution of boundary value problem with an inhomogeneous boundary condition by Elmira Abdyldaeva, Gulbarchyn Taalaibek Kyzy, Bermet Anarkulova

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Integration of MRMR algorithm with advanced neural networks for modeling long-term crop water demand in agricultural basins by Ahmed Elbeltagi, Abdullah A. Alsumaiei, Ali Raza, Mustafa Al-Mukhtar, Salim Heddam

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The Inversion of SPAD Value in Pear Tree Leaves by Integrating Unmanned Aerial Vehicle Spectral Information and Textural Features by Ning Yan, Yasen Qin, Haotian Wang, Qi Wang, Fangyu Hu, Yuwei Wu, Xuedong Zhang, Xu Li

“…Finally, four machine learning methods, namely XGBoost, random forest (RF), back-propagation neural network (BPNN), and optimized integration algorithm (OIA), were used to construct inversion models of the SPAD value of pear trees, with different feature inputs based on vegetation indices, textural features, and their combinations, respectively. …”
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miRTARGET: An integrated web tool for the identification of microRNA targets with potential therapeutic or prognostic value in cancer by Matjaz Rokavec, Heiko Hermeking

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The diagnostic value of MRI segmentation technique for shoulder joint injuries based on deep learning by Lina Dai, Md Gapar Md Johar, Mohammed Hazim Alkawaz

“…A novel multi-scale feature fusion network (MSFFN) is developed by optimizing and integrating the AlexNet and U-Net algorithms for the segmentation of MRI images of the shoulder joint. …”
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Highly accurate method for solving forced Duffing equations with integral boundary conditions by H. M. Ahmed

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Robust Parameter Inversion and Subsidence Prediction for Probabilistic Integral Methods in Mining Areas by Xinjian Fang, Rui Yang, Mingfei Zhu, Jinling Duan, Shenshen Chi

“…To address this limitation, we propose the IGGIII-BFGS algorithm that integrates robust estimation with unconstrained optimization method, enhancing resistance to gross errors during parameter inversion. …”
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Research on kd-tree Cache Optimization Based on Particle Index Sorting Algorithm by 张挺, 林震寰, 杨丁颖, 王宗锴, 陈轶凡

“…By calculating the dimension with the highest MAD value—thereby identifying the axis along which particle distribution exhibits the greatest variance—the algorithm ensures that particles with closer spatial proximity are assigned similar index values, thus optimizing data access during <italic>kd-tree</italic> searches. …”
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Predicting the Compressive Strength of High-Performance Concrete utilizing Radial Basis Function Model integrating with Metaheuristic Algorithms by LiWei Hu

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Integrated energy trading algorithm for source-grid-load-storage energy system based on distributed machine learning by Zhiwei Cui, Changming Mo, Qideng Luo, Chunli Zhou

“…However, the current static network isomorphism algorithm for distributed machine learning cannot meet the energy exchange needs of the integrated energy system. …”
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Improvement of reading platforms assisted by the spring framework: A recommendation technique integrating the KGMRA algorithm and BERT model by Yawen Su

“…The KGMRA algorithm leverages knowledge graphs to extract rich associative information and employs multi-relational networks to capture the semantic relationships between articles effectively. …”
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Optimizing spatial allocation schemes with a focus on carbon fixation services by the integration of GIS and a robust algorithmic approach by Eryan Guo, Jing He

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Integrated Machine Learning Algorithms-Enhanced Predication for Cervical Cancer from Mass Spectrometry-Based Proteomics Data by Da Zhang, Lihong Zhao, Bo Guo, Aihong Guo, Jiangbo Ding, Dongdong Tong, Bingju Wang, Zhangjian Zhou

“…Key performance metrics, including accuracy, precision, recall, and F1 score, were systematically evaluated. Furthermore, by integrating feature importance values, Shapley values, and local interpretable model-agnostic explanation (LIME) values, we demonstrated that the diagnostic area under the curve (AUC) achieved by our multi-dimensional learning models approached 1, significantly outperforming the diagnostic AUC of single markers derived from the PRIDE database. …”
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Multi attribute decision-making algorithms using Hamacher Choquet-integral operators with complex intuitionistic fuzzy information by Tehreem, Harish Garg, Kinza Ayaz, Walid Emam

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