Inventory control strategy based on neural network and fuzzy algorithm in intelligent warehousing system by Chunmei Xie, Cong Xie

“…Abstract To cope with the inventory control problem of an intelligent warehousing system, this paper proposes a neuro-fuzzy dynamic inventory regulation model (NFDIRM), which integrates radial basis function neural network (RBFNN) and fuzzy logic algorithm, aiming to solve the problems of poor prediction accuracy and poor decision flexibility of traditional models. …”
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Artificial Intelligence-Assisted Clinical Decision-Making: A Perspective on Advancing Personalized Precision Medicine for Elderly Diabetes Patients by Hu J, Ren L, Wang T, Yao P

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Enhanced Decision Support for Multi-Objective Factory Layout Optimization: Integrating Human Well-Being and System Performance Analysis by Andreas Lind, Veeresh Elango, Sunith Bandaru, Lars Hanson, Dan Högberg

“…Using a set of trade-off solutions for a battery production assembly station, a decision support method is introduced to select three solutions that balance all conflicting objectives, namely, the solution closest to the ideal point, the solution furthest from the nadir point, and the one that is best performing along the ideal nadir vector. …”
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Algorithm, expert, or both? Evaluating the role of feature selection methods on user preferences and reliance. by Jaroslaw Kornowicz, Kirsten Thommes

“…We differentiate between three feature selection methods: algorithm-based, expert-based, and a combined approach. …”
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Age and sex specific thresholds for risk stratification of cardiovascular disease and clinical decision making: prospective open cohort study by Matthew Sperrin, Angela M Wood, Lois Kim, Zhe Xu, Emanuele Di Angelantonio, Stephen Kaptoge, Juliet Usher-Smith, Matthew Arnold, Lisa Pennells, Ryan Chung

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Outlier detection method based on K-means by Liu Daojun, Liu Shuai, Zhang Yusong, Ou Sicheng

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Parameter Sensitivity Analysis and Algorithm Improvement of Optimization Scheduling Model for Cascade Pumping Stations by LIU Xiaolian, LI Zhenrong, WANG Xue-ni, ZHAI Yu, ZHANG Lei-ke, GUO Weiwei, TIAN Yu

“…Six benchmark functions, including unimodal, multimodal and fixed dimension, were used to verify the performance and improvement strategies of TRUN. Finally, taking a three-stage pumping station as an example, the Sobol method was used to quantitatively determine the sensitivity sequence of its system parameters, and TRUN was used to get the optimal scheduling scheme of the cascade pumping stations.Results and Discussions　The mean and standard deviation of six benchmark functions, including unimodal (Schwefel 2.21 (<italic>f</italic>₁), Rosenbrock (<italic>f</italic>₂)), multimodal (Schwefel (<italic>f</italic>₃), Rastrigin (<italic>f</italic>₄)), fixed dimension (Hartman (<italic>f</italic>₅), Shekel (<italic>f</italic>₆)), were calculated by TRUN, RUN, TPSO, PSO, TGA and GA algorithms. …”
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Decision Support System (DSS) for Fraud Detection in Health Insurance Claims Using Genetic Support Vector Machines (GSVMs) by Robert A. Sowah, Marcellinus Kuuboore, Abdul Ofoli, Samuel Kwofie, Louis Asiedu, Koudjo M. Koumadi, Kwaku O. Apeadu

“…The experimental results have proven that the GSVM possessed better detection and classification performance when applied using SVM kernel classifiers. Three GSVM classifiers were evaluated and their results compared. …”
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Lipoprotein (a) levels and clinical decision-making: data from a Mexican cohort at a tertiary medical institution by Ivette Cruz-Bautista, Yuscely Flores-Jurado, Guillermo Roa-Álvarez, Mariana Salas-Aldana, Daniel Benjamin Elías-Lopez, Ricardo Federico Hernández-Franco, Sandra Rosales-Uvera, Arsenio Vargas-Vázquez, Raymundo Valdez-Echeverría, Sonia Luna del Villar Velasco, Liliana Muñoz-Hernández, Roopa Mehta, Mario Morales-Esponda, Misael Aguilar-Panduro, Guillermo Chan-Puga, Adrián Soto Mota, Carlos Alberto Aguilar-Salinas

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Multi group merging algorithm for solving data Shuffle and data skew of securities companies by CAO Yakun, TANG Xiaoyong

“…All three indicators surpass those of the other four comparison optimization methods.…”
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Integration of Machine Learning and Wavelet Algorithms for Processing Probing Signals: An Example of Oil Wells by Zukhra Abdiakhmetova, Zhanerke Temirbekova

“…The results were based on a set of three drilled oil wells, namely, West Kazakhstan region, Mangystau, publicly available well log dataset. …”
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Evaluation of different spectral indices for wheat lodging assessment using machine learning algorithms by Shikha Sharda, Sumit Kumar, Raj Setia, Prince Dhiman, N. R. Patel, Brijendra Pateriya, Ali Salem, Ahmed Elbeltagi

“…The normalized difference vegetation index (NDVI) was computed during this period followed by implementation of random forest (RF), decision tree (DT), and support vector machine (SVM) algorithms to evaluate their performance for wheat classification. …”
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Improving Random Forest Algorithm for University Academic Affairs Management System Platform Construction by Jinyang Dai

“…In view of the complexity, heterogeneity, and security of college educational administration data and the difficulty of predicting and analyzing college students’ achievements, this paper designs a college educational administration management system platform based on improved random forest algorithm. Combining the advantages of three data-driven prediction algorithms, namely, random forest, extreme gradient boosting (XGBoost), and gradient boosting decision tree (GBDT), a model based on improved random forest algorithm is proposed. …”
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Highway Passenger Transport Based Express Parcel Service Network Design: Model and Algorithm by Yuan Jiang, Baofeng Sun, Gendao Li, Zhibin Lin, Changxu Zheng, Xiuxiu Shen

“…To solve the model, a decomposition-based heuristic algorithm is designed by decomposing the problem as three steps: construction of service network, service path selection, and distribution of network flow. …”
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Tree-Based Algorithms and Incremental Feature Optimization for Fault Detection and Diagnosis in Photovoltaic Systems by Khaled Chahine

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A machine learning based algorithm accurately stages liver disease by quantification of arteries by Zhengxin Li, Xin Sun, Zhimin Zhao, Qiang Yang, Yayun Ren, Xiao Teng, Dean C. S. Tai, Ian R. Wanless, Jörn M. Schattenberg, Chenghai Liu

“…AD was counted using qVessel (previously trained on manually labeled vessels by stained slides (CD34/a-SMA/CK19) and developed by a decision tree algorithm). As liver fibrosis progressed from F1 to F4, we observed that both AD and CPA gradually increases among the three etiologies (P < 0.05). …”
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Design of Enterprise Economic Information Management System Based on Big Data Integration Algorithm by Xiao Liu

“…Based on the analysis of the current status of enterprise big data application, this paper constructs an enterprise economic informational management system based on big data and also describes in detail the key technologies of enterprise economic informational data management from three aspects: NoSQL-based big data storage management, Hadoop-based economic informational big data informational and economic informational big data analysis, and mining algorithm. …”
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A Self-Adaptive Improved Slime Mold Algorithm for Multi-UAV Path Planning by Yuelin Ma, Zeren Zhang, Meng Yao, Guoliang Fan

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Adaptive crayfish optimization algorithm for multi-objective scheduling optimization in distributed production workshops by Xin Yang, Xiaoying Yang, Jinhao Du

“…In the application to WTPP-PSP, the proposed algorithm outperforms COA by approximately 13%, 10%, and 8% in the three objectives.…”
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A parallel large-scale multiobjective evolutionary algorithm based on two-space decomposition by Feng Yin, Bin Cao

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