Employee loyalty evaluation using machine learning in technology-based small and medium-sized enterprises by Yong Shi, Yuan Wang, Hongkun zuo

“…Through several machine learning models and algorithms to predict employee loyalty, the feasibility of machine learning to predict employee loyalty is proved, and the evaluation of talent in TSMEs is supported by decision analysis. …”
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Comprehensive Evaluation Method of Teaching Effect Based on Particle Swarm Optimization Neural Network Model by Heng Cao, Qianhui Gao

“…The specific summary is as follows: (1) Introduced the design concept of particle swarm optimization teaching evaluation system. (2) The use of object-oriented programming algorithms makes it easier for the algorithm to find an entry point, solve practical problems, and optimize the reusability of the algorithm method. (3) Particle swarm optimization based on quantum behavior, adjusting parameter values, the highest and the lowest, greatly reduces the difficulty of program parameter adjustment. (4) In terms of operation, it can quickly and efficiently complete the maintenance of teacher teaching information, evaluation relationship management of teacher teaching quality evaluation, evaluation content management, student evaluation, supervision evaluation, college leadership evaluation, evaluation performance management, and other operations. …”
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Toward a unified gait freeze index: a standardized benchmark for clinical and regulatory evaluations by Alessandro Schaer, Henrik Maurenbrecher, Carlo Mangiante, Roman Sobkuliak, Kathrin Müsch, Paula Sanchez Lopez, Eduardo Martin Moraud, Eduardo Martin Moraud, Olgac Ergeneman, George Chatzipirpiridis

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Metrological evaluation and classification of porosity in metal additive manufacturing using X-ray computed tomography by Ibon Holgado, Naiara Ortega, José A. Yagüe-Fabra, Soraya Plaza, Herminso Villarraga-Gómez

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Precise application of water and fertilizer to crops: challenges and opportunities by Yingying Xing, Xiukang Wang

“…Precision water and fertilizer application technologies have emerged as crucial innovations in sustainable agriculture, addressing the pressing need to enhance crop yield and quality while optimizing resource use and minimizing environmental impacts. …”
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A novel frequency-domain approach to the range migration algorithm for efficient medical image processing: Application in tumor detection and identification by Jaouad El Gueri, Ibtisam Amdaouch, Badiaa Ait Ahmed, Juan Ruiz-Alzola, Otman Aghzout

“…This paper introduces a novel, computationally efficient range migration algorithm (RMA) specifically designed for medical microwave imaging applications. …”
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A supply chain analytics approach for optimizing milk collection routing in multi-depot networks by Mattia Neroni, Marta Rinaldi

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GOES‐R PM2.5 Evaluation and Bias Correction: A Deep Learning Approach by Alqamah Sayeed, Pawan Gupta, Barron Henderson, Shobha Kondragunta, Hai Zhang, Yang Liu

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Deep Reinforcement Learning-Based Dynamic Scheduling for Real-Time Applications in LTE and RAN Slicing for eMBB in 5G by Houssem Eddine Benmadani, Mohamed Azni, Turki Essa Alharbi, Mohammed S. Alzaidi, Mohamed Tounsi

“…The simulation results show that the proposed algorithm always outperforms the QoS performance, especially for real-time applications.…”
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Causal Discovery for Patient Classification Using Health-Related Quality of Life Questionnaires by Maria Ganopoulou, Konstantinos Fokianos, Christos Bakirtzis, Lefteris Angelis, Theodoros Moysiadis

“…This algorithm was evaluated using the correct classification rate (CCR) and the misclassification rate (MR) based on simulated data under conditions of varying sample size and causal structures’ complexity, and within a real-world data application. …”
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An improved catastrophe progression method based on HMSLGWO–AHP for grouting quality assessment by Yushan Zhu, Zhu Yang, Ning Li, Jian Huang

“…The evaluation methods of existing studies are complex, and the evaluation process often suffers from the subjective influence of indicator weightings, detracting from the objectivity of the results. …”
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Detecting Anomalies in CPU Behavior Using Clustering Algorithms from the Scikit-Learn Library in Python Programming Language by Artem Turashev, Vladimir Sukhomlin

“…Classic clustering methods of the Scikit-Learn library in Python programming language are considered, such as KMeans, DBSCAN, Agglomerative Clustering and Affinity Propagation. To evaluate the effectiveness of the proposed algorithms, various quality metrics are used, such as ARI, AMI, Homogeneity Score, Completeness score, V – measure and Silhouette score. …”
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Image Segmentation Based on the Optimized K-Means Algorithm with the Improved Hybrid Grey Wolf Optimization: Application in Ore Particle Size Detection by Xinyi Chai, Zijun Wu, Wei Li, Haowei Fan, Xinyang Sun, Jing Xu

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Proposing a New Method for Customer Segmentation Based on Their Level of Loyalty and Defining Appropriate Strategies for Each Segment by Samira KHodabandehlou, Ali Akbar Niknafs

“…The obtained data have been analyzed using Clementine 14.2 software application using MLP and RBF neural networks as well as the K-means algorithm. …”
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Sperm swarm optimization for many objective power flow problems with enhanced performance evaluation in power systems by Wulfran Fendzi Mbasso, Ambe Harrison, Pradeep Jangir, Idriss Dagal, Hossam Kotb, Njimboh Henry Alombah, Raman Kumar, Aseel Smerat, Emmanuel Fendzi Donfack, Saad F. Al-Gahtani, Z. M. S. Elbarbary

“…The proposed MaOSSO algorithm incorporates adaptive diversity mechanisms along with swarm intelligent hyper-dynamic control to address these shortcomings and improve the solution quality in higher scalable architectures. …”
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Sentiment Analysis and Classification of User Reviews of the 'Access by KAI' Application Using Machine Learning Methods to Improve Service Quality by Hildegardis Kristina saka, Putri Taqwa Prasetyaningrum

“…Thus, this study can be used as a practical guide in making strategic decisions to improve the quality of service and user satisfaction of the Access by KAI application.…”
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Dholes Hunting—A Multi-Local Search Algorithm Using Gradient Approximation and Its Application for Blockchain Consensus Problem by Binh Minh Nguyen, Thieu Nguyen, Quoc-Hien Vu, Tran Huy Hung, Tran Hoang Hai, Huynh Thi Thanh Binh, Van-Dang Tran

“…We use four benchmark function datasets to evaluate the DhoH’s performance. We compare the achieved results with several previous research from various well-known algorithms. …”
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Translational analysis of data science and causal learning in real-world clinical evaluation of traditional Chinese medicine by Wei Yang, Danhui Yi, XiaoHua Zhou, Yuanming Leng

“…The methodology involves several key steps, including data integration and warehouse building, high-dimensional feature selection, the use of interpretable statistical machine learning algorithms, complex networks, and graph network analysis, knowledge mining techniques such as natural language processing and machine learning, observational study design, and the application of artificial intelligence tools to build an intelligent engine for translational analysis. …”
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Assessment of Teaching Quality of Traditional Decorative Patterns in Colleges and Universities Using an MCDM Approach and Circular Intuitionistic Information by Zi Wang, Liping Pan

“…Moreover, the special cases of proposed aggregation operators (AOs) and their validity are discussed. An intelligent algorithm is provided involving prioritization of attributes and experts based on proposed AOs to evaluate the multi-criteria group decision-making (MCGDM) problem, particularly in assessing teaching quality. …”
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An Enhanced Zebra Optimization Algorithm With Multiple Strategies for Global Optimization and Feature Selection Problems: A Hepatocellular Carcinoma Case Study by Feyza Altunbey Ozbay

“…The binary version of CLESQ-ZOA is applied to twelve feature selection benchmark datasets to demonstrate its effectiveness in real-world applications. Besides, CLESQ-ZOA has been applied to Hepatocellular Carcinoma to further evaluate its effectiveness. …”
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