A Multivariate Fuzzy Weighted K-Modes Algorithm with Probabilistic Distance for Categorical Data by Ren-Jieh Kuo, Maya Cendana, Thi Phuong Quyen Nguyen, Ferani E. Zulvia

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Algorithms for the Extension two Dimensional Fuzzy Signal via Decomposition and Reconstruction in Fuzzy Wavelets by Jean-louis Akakatshi Ossako, Rebecca Walo Omana, Richard Bopili Mbotia, Antoine Kitombole Tshovu

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A leave-one-out algorithm for contribution analysis in component network meta-analysis by Yunhe Mao, Yiwen Shen, Qinbo Yang, Qingyang Shi, Sheyu Li

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An algorithm for a multicriteria optimization problem and its application to a facility location problem by Nemat Ghafari, M.A. Yaghoobi

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Retrieval Augmented Therapy Suggestion for Molecular Tumor Boards: Algorithmic Development and Validation Study by Eliza Berman, Holly Sundberg Malek, Michael Bitzer, Nisar Malek, Carsten Eickhoff

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A Multivariate Fuzzy Weighted K-Modes Algorithm with Probabilistic Distance for Categorical Data by Ren-Jieh Kuo, Maya Cendana, Thi Phuong Quyen Nguyen, Ferani E. Zulvia

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Modelling and Simulation of Perturb and Observe MPPT Algorithm Based on The PI Controller for Photovoltaic System by Ahlam Mohamad Shakoor, Hersh Hasan Taha

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Virtual Display System of Geological Body Based on Key Algorithms of Three-dimensional Modelling by Wei Feng

“…The results show that these two key algorithms play a very important role in the research process of geological virtual display system, and also provide a new idea for further research on the popularization of geological knowledge.…”
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Advancements in Machine Learning-Based Intrusion Detection in IoT: Research Trends and Challenges by Márton Bendegúz Bankó, Szymon Dyszewski, Michaela Králová, Márton Bertalan Limpek, Maria Papaioannou, Gaurav Choudhary, Nicola Dragoni

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Detection of Victimization Patterns and Risk of Gender Violence Through Machine Learning Algorithms by Edna Rocio Bernal-Monroy, Erika Dajanna Castañeda-Monroy, Rafael Ricardo Rentería-Ramos, Sixto Enrique Campaña-Bastidas, Jessica Barrera, Tania Maribel Palacios-Yampuezan, Olga Lucía González Gustin, Carlos Fernando Tobar-Torres, Zeneida Rocio Ceballos-Villada

“…Models were developed to classify women according to their vulnerability and risk of suffering various forms of violence, which were integrated into a decision-making tool for local authorities. The algorithms employed include K-means for clustering, artificial neural networks, random forests, decision trees, and multiclass classification algorithms combined with fuzzy classification techniques to handle the incomplete data. …”
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Trisomy 21 screening with αlpha software and the Fetal Medicine Foundation algorithm by L Pistorius, C A Cluver, I Bhorat, L Geerts

“…Screening for trisomy 21 provides pregnant women with accurate risk information. Different algorithms are used to screen for trisomy 21 in South Africa (SA). …”
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Application of MRI image segmentation algorithm for brain tumors based on improved YOLO by Tao Yang, Xueqi Lu, Lanlan Yang, Miyang Yang, Jinghui Chen, Hongjia Zhao

“…ObjectiveTo assist in the rapid clinical identification of brain tumor types while achieving segmentation detection, this study investigates the feasibility of applying the deep learning YOLOv5s algorithm model to the segmentation of brain tumor magnetic resonance images and optimizes and upgrades it on this basis.MethodsThe research institute utilized two public datasets of meningioma and glioma magnetic resonance imaging from Kaggle. …”
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Incremental attribute reduction algorithm for dominance-based neighborhood relative decision entropy by CHEN Baoguo, CHEN Lei, DENG Ming, LI Xiaoyan, CHEN Jinlin

“…The processing time of incremental algorithms is significantly shorter than that of non-incremental algorithms. …”
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Establishing an algorithm for molecular genetic diagnostics in Chinese children with brachydactyly type E by Xueqian Wang, Shengzhuang Guan, Shengzhuang Guan, Yiqing Gao, Rongrong Xie, Fengyun Wang, Xiuli Chen, Haiying Wu, Xiaohui Zhang, Dandan Zhang, Dandan Zhang, Bingyu Yang, Bingyu Yang, Qisang Fan, Qisang Fan, Qing Wang, Qing Wang, Hongying Wang, Tao Feng, Haitao Lv, Ting Chen, Ting Chen

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Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm by LIU Li-jun, LIN Ying-hai, SU Yong-hui, LEI Ying

“…Future work will focus on experimental validation of MOMDBA under real-world conditions and its integration with advanced monitoring technologies. Further research may also explore adaptive extensions of the algorithm for real-time structural health monitoring. …”
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An Efficient Hybrid Meta-heuristic Algorithm for Solving Capacitated Vehicle Routing Problem by Emrullah Gazioğlu

“…Some factories have same type vehicles while others have different types with varying capacities. Researchers made good algorithms for this problem, but these algorithms need too much computer power. …”
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Parameter Matching Analysis of Hydraulic Hybrid Excavators Based on Dynamic Programming Algorithm by Wei Shen, Jihai Jiang, Xiaoyu Su, Hamid Reza Karimi

“…In order to meet the energy saving requirement of the excavator, hybrid excavators are becoming the hot spot for researchers. The initial problem is to match the parameter of each component, because the system is tending to be more complicated due to the introduction of the accumulator. …”
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Discovering Insightful Rules among Truck Crash Characteristics using Apriori Algorithm by Jungyeol Hong, Reuben Tamakloe, Dongjoo Park

“…ARM quantifies the interrelationships between the antecedents and consequents of truck-involved crashes and provides researchers with the most influential set of factors that leads to crashes. …”
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A Classification Method for E-mail Spam Using a Hybrid Approach for Feature Selection Optimization by Zeinab Hassani, vahid Hajihashemi, Keivan Borna, Iman Sahraei Dehmajnoonie

“…This approach is considered a hybrid of optimization algorithms and classifiers in machine learning. Binary Whale Optimization (BWO) and Binary Grey Wolf Optimization (BGWO) algorithms are used for feature selection and K-Nearest Neighbor (KNN) and Fuzzy K-Nearest Neighbor (FKNN) algorithms are applied as the classifiers in this research. …”
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Energy efficient cooperative spectrum sensing algorithm in cognitive wireless sensor networks by Gui-cai YU, Cheng-zhi LONG, Man-tian XIANG

“…Then, the theory of sensing node selection and decision threshold setting, combined an effective cooperative spectrum sensing scheme based on decision nodes selection is researched. The analy-sis and simulation results show that the proposed algorithm can effectively reduce total energy consumption in cognitive sensor networks, improve energy efficiency.…”
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