Interpretable Machine Learning Models for PISA Results in Mathematics by Ismael Gomez-Talal, Luis Bote-Curiel, Jose Luis Rojo-Alvarez

“…By preprocessing the PISA dataset, we categorized students into Low, Medium, and High proficiency levels and employed various binary classification models to discern predictive patterns. In addition, a stacking meta-model integrating the strengths of eight distinct predictive models was developed to enhance prediction accuracy. …”
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MACHINE LEARNING TECHNIQUES FOR RETINOPATHY DETECTION IN DIABETIC PATIENTS by Ajay Kushwaha, Ahankari Sachin Suresh, Chennoju Phanindra, Anil Kumar Sahu, Devanand Bhonsle, Yamini Chouhan

“…A range of techniques, from traditional clinical methods to advanced machine learning algorithms, are employed to detect retinopathies in diabetic patients. …”
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CNC machining data repository: Geometry, NC code & high-frequency energy consumption data for aluminum and plastic machiningMendeley Data by Markus Brillinger, Muaaz Abdul Hadi, Stefan Trabesinger, Johannes Schmid, Florian Lackner

“…Potential use cases include optimizing machining parameters for energy reduction based on power consumption patterns, and enhancing digital twin models with real-world machining data. …”
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A review of machine learning techniques for urban resilience research: The application and progress of different machine learning techniques in assessing and enhancing urban resili... by Yu Chen, Wenxing You, Lu Ou, Hui Tang

“…Machine learning assists in meeting intensifying urbanization and climate change challenges. …”
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Exploring statistical and machine learning methods for modeling probability distribution parameters in downtime length analysis: a paper manufacturing machine case study by Vladimir Koković, Kosta Pavlović, Andjela Mijanović, Slavko Kovačević, Ivan Mačužić, Vladimir Božović

“…This paper explores statistical and machine learning techniques for modeling downtime length probability distributions and correlation with machine vibration measurements. …”
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Neural Network-Aided NILM (NNAN) disaggregation: Revealing appliance consumption patterns with iterative subtraction by Yacine Belguermi, Patrice Wira, Gilles Hermann

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Mid-Infrared Spectroscopy for Coffee Variety Identification: Comparison of Pattern Recognition Methods by Chu Zhang, Chang Wang, Fei Liu, Yong He

“…The potential of using mid-infrared transmittance spectroscopy combined with pattern recognition algorithm to identify coffee variety was investigated. …”
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Convolutional neural network analysis of optical texture patterns in liquid-crystal skyrmions by J. Terroa, M. Tasinkevych, C. S. Dias

“…Abstract Liquid crystals are known for their optical birefringence, a property that gives rise to intricate patterns and colors when viewed in a microscope between crossed polarisers. …”
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Efficient Trajectory Prediction Using Check-In Patterns in Location-Based Social Network by Eman M. Bahgat, Alshaimaa Abo-alian, Sherine Rady, Tarek F. Gharib

“…The FP-growth mining technique is used in AHLTP to extract frequent patterns of check-in locations, combined with machine-learning methods such as K-nearest-neighbor, gradient-boosted-trees, and deep learning to classify hidden locations. …”
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A hybrid approach for pattern recognition and interpretation in age-related false memory by Noorbakhsh Amiri Golilarz, Elias Hossain, Shahram Rahimi, Hossein Karimi

“…This knowledge gap is partly due to limitations in current methodologies used to examine age-related cognitive changes and their origins.MethodsIn the present study, a hybrid approach was developed that combines optimized machine learning techniques with large-scale transformer-based language models to identify behavioral patterns distinguishing true from false memories in both younger and older adults. …”
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Multiple patterns of EEG parameters and their role in the prediction of patients with prolonged disorders of consciousness by Hui Li, Hui Li, Hui Li, Linghui Dong, Linghui Dong, Linghui Dong, Wenlong Su, Wenlong Su, Ying Liu, Ying Liu, Zhiqing Tang, Zhiqing Tang, Xingxing Liao, Xingxing Liao, Junzi Long, Junzi Long, Xiaonian Zhang, Xinting Sun, Hao Zhang, Hao Zhang, Hao Zhang, Hao Zhang

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Adaptive beam-shaping enabled high-precision patterned laser micro-grooving by Pei Qiu, Jun Li, Dandan Yuan, Zixuan Xin, Jiaxu Huang, Shaolin Xu

“…Microgrooves with diverse cross-sections are required in various fields but remain a significant challenge in precision machining, especially for hard-to-machine materials. …”
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Bioinformatics Analysis of Oxidative Stress-Related Genes and Immune Infiltration Patterns in Vitiligo by Yang M, Wang H, Zhang R

“…Significant differences in immune infiltration patterns were observed between vitiligo patients and normal controls. …”
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Muscle Sensor Model Using Small Scale Optical Device for Pattern Recognitions by Kreangsak Tamee, Khomyuth Chaiwong, Kriengsak Yothapakdee, Preecha P. Yupapin

“…The obtained simulation results, that is, interference signal patterns, can be used to form the various pattern recognitions, which are useful for the human machine interface and the human computer interface application and discussed in detail.…”
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Muses or Stereotypes? Identifying Historical Patterns of Sexism in a Corpus of Brazilian Lyrics by Janaina Nogueira de Souza Lopes, Vitória Pereira Firmino, Valéria Quadros dos Reis

“…The identified predicatives were annotated and used to train a machine learning model that categorizes them into five descriptive categories. …”
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Generate vector graphics of fine-grained pattern based on the Xception edge detection. by Anqi Chen, Yicui Peng, Meng Li, Hao Chen, Chang Liu, Jinrong Hu, Xiang Wen, Guo Huang

“…In this paper, we take Qiang embroidery patterns as an example due to containing fine-grained patterns, which is more suitable for the study of image processing and pattern recognition techniques. …”
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Unpacking the green potential of digital trade: evidence from household energy patterns by Shi Liang, Hongliang Li

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Entropy-Based Ensemble of Convolutional Neural Networks for Clothes Texture Pattern Recognition by Reham Al-Majed, Muhammad Hussain

“…Moreover, images of clothes patterns may be taken in an unconstrained illumination environment. …”
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The impact of weather patterns on increasing violent crime and social cost in South Africa by Tianen Yao, Jinjia Zhang, Xinyu Yang, Yida Wang, Huaixiao Ye, Zhenyu Zhang, Ming Xu

“…We propose interpretable machine learning (IML) and multiple linear regression (MLR) algorithms to quantify the determinants of crime. …”
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Patterns and drivers of Holocene moisture variability in mid-latitude eastern North America by J. Sakari Salonen, Frederik Schenk, John W. Williams, Bryan Shuman, Ana L. Lindroth Dauner, Sebastian Wagner, Johann Jungclaus, Qiong Zhang, Miska Luoto

“…These data-model results resolve prior-generation inconsistencies, show consistent spatiotemporal patterns of Holocene hydroclimate change, and enable assessment of the driving mechanisms. …”
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