Research on GNNs with stable learning by Wenbin Li, Wenxuan Wei, Peiyang Wang, Li Pan, Bo Yang, Yanling Xu

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Systems and Algorithms for Wireless Sensor Networks Based on Animal and Natural Behavior by Sandra Sendra, Lorena Parra, Jaime Lloret, Shafiullah Khan

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Advanced Methodology for Fraud Detection in Energy Using Machine Learning Algorithms by Silviu Gresoi, Grigore Stamatescu, Ioana Făgărășan

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Unveiling patterns: a data-driven exploration of overseas residents' views on Qingdao's tourism development by Sahand Abdinematabad, Roghaye Ebadikhah, Mehdi Pourabdollah, Reza Rasinojehdehi

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An Adaptive Chaotic Sine Cosine Algorithm for Constrained and Unconstrained Optimization by Yetao Ji, Jiaze Tu, Hanfeng Zhou, Wenyong Gui, Guoxi Liang, Huiling Chen, Mingjing Wang

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An Activity-Based Travel Personalization Tool Driven by the Genetic Algorithm by Ali Enes Dingil, Domokos Esztergár-Kiss

“…This tool holds promise for advancing longitudinal travel behavior research, particularly in gaining a more profound understanding of travel patterns.…”
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Automatic Card Fraud Detection Based on Decision Tree Algorithm by Elena Flondor, Liliana Donath, Mihaela Neamtu

“…Furthermore, empirical research is conducted to evaluate the effectiveness of Machine Learning-based decision tree algorithms in identifying card fraud using real-world datasets. …”
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Enhance decoding of lower limb motor imagery‐electroencephalography patterns by Riemannian clustering by Xinwei Sun, Tuo Liu, Kun Wang, Lincong Pan, Lin Meng, Xinmin Ding, Weibo Yi, Minpeng Xu, Dong Ming

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Performance Evaluation of Some Selected Classification Algorithms in a Facial Recognition System by Michael Olumuyiwa Adio, Ogunmakinde Jimoh Ogunwuyi, Mayowa Oyedepo Oyediran, Adebimpe Omolayo Esan, Olufikayo Adepoju Adedapo

“…With the development of image processing and pattern recognition technology, there are many challenges in machine learning to select the appropriate classification algorithms, most especially in the area of classification of extracted features to have low classification time, high sensitivity and accuracy of the classification algorithms, so it is very important to explore the performance of different algorithms in image classification. …”
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An Improved Hashing Approach for Biological Sequence to Solve Exact Pattern Matching Problems by Prince Mahmud, Anisur Rahman, Kamrul Hasan Talukder

“…Despite sprinting, hash-based pattern matching algorithms may have hash collisions. …”
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Deep Learning Algorithm for Automatic Classification of Power Quality Disturbances by Fatema A. Albalooshi, M. R. Qader

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Variational Autoencoders-Based Algorithm for Multi-Criteria Recommendation Systems by Salam Fraihat, Qusai Shambour, Mohammed Azmi Al-Betar, Sharif Naser Makhadmeh

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Visual Multiple-object Tracking Algorithm Based on Motion Consistency by YANG Hailang, LYU Yu, JIANG Guotao, PI Zhichao, LUO Shuo, CHEN Meilin

“…The algorithm aims to improve the stability in tracking multiple objects with similar appearance features and motion patterns, while maintaining stability in normal cases. …”
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Algorithm for Generating Bifurcation Diagrams Using Poincaré Intersection Plane by Luis Javier Ontañón-García, Juan Gonzalo Barajas-Ramírez, Eric Campos-Cantón, Daniel Alejandro Magallón-García, César Arturo Guerra-García, José Ricardo Cuesta-García, Jonatan Pena-Ramirez, José Luis Echenausía-Monroy

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ICBoost: An XGBoost-Based Unbiased Transformed Algorithm for Survival Regression by Jingyi Zhang, Shishun Zhao, Yang Xu, Tao Hu

“…We evaluated the performance of the ICBoost algorithm against existing methods using various real and simulated datasets. …”
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Patterns and risk factors of falls among older adults: a systematic review by Tetiana Yermakova

“…Ten key topics were identified, reflecting two main research algorithms. Conclusions. The analysis identified key risk factors for falls among older adults, including cognitive impairments, reduced sensorimotor function, changes in gait parameters, as well as physiological and external factors. …”
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Computational thinking on concept pattern number: A study learning style Kolb by Ratni Purwasih, Turmudi Turmudi, Jarnawi Afgani Dahlan, Naufal Ishartono

“…This research aimed to determine how the number pattern concept's computational thinking characteristic picture was reviewed from the Kolb model's learning style. …”
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Summaries of certain spatial patterns retrieved from multidate remote-sensing data by Hema Nair

“…Techniques, such as clustering and genetic algorithms, are used to mine images. Image mining is a relatively new area of research. …”
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Reverse Geomancy: The Spatial Patterns Between Jimei Ancestral Halls and Their Surrounding Environment by Congjian Yin, Jun Shan

“…As the core buildings of traditional villages in Southern Fujian, ancestral halls are deeply influenced by Feng Shui theories in their angular spatial layout. This research collected data on 45 ancestral halls and their surrounding elements, such as ponds, trees, plazas, and performance stages, using a classification approach based on Feng Shui theory to analyze the spatial distribution patterns, combined with DBSCAN and HDBSCAN clustering algorithms. …”
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Improved RTAB-Map Algorithm Based on Visible Light Positioning by Po-Hao Hunag, Si-Chuan Liu, Cheng-Hsiung Yang

“…It is also crucial to recognize that sensors can have limitations, and their readings may not always be precise. This research presents an improved RTAB-Map algorithm based on visible light positioning. …”
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