Osteoarthritis progression pattern based on patient specific characteristics using machine learning by Seong Yun Park, Myeong Ju Kim, Joon Hee Cho, Hee Seung Nam, Jade Pei Yuik Ho, Yong Seuk Lee

“…Abstract This study aimed to identify key factors associated with different progression patterns of early osteoarthritis (OA) by developing a predictive model using patient-specific characteristics. …”
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Mining autonomous student patterns score on LMS within online higher education by Ricardo Ordoñez-Avila, Jaime Meza, Sebastian Ventura

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Research on Classification of Rail Defects Based on Image Processing Algorithm by Mengying HUANG, Jiangping LUO, Wenxing WANG, Jingwei CAO

“…Firstly, the Tamura texture feature algorithm was combined with the local binary pattern algorithm to extract the feature values of the defect images, and form feature vectors. …”
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Prospects of using zein markers in breeding waxy maize lines and varieties by V. V. Sidorova, Yu. A. Kerv, G. V. Matveeva, A. V. Konarev

“…Zein electrophoretic patterns showed the uniqueness of each waxy maize accession. …”
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Classifying High-Dimensional Patterns Using a Fuzzy Logic Discriminant Network by Nick J. Pizzi, Witold Pedrycz

“…Although many classification techniques exist to analyze patterns possessing straightforward characteristics, they tend to fail when the ratio of features to patterns is very large. …”
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Light Diffraction From a Flexible Patterned Layer With Periodically Arranged Dimples by Arpita Haldar, Vijaya Ramarao

“…Numerical calculation based on rigorous coupled-wave analysis exactly reproduces the results and supports the features of the experiment such as unequal intensity distribution in the diffraction pattern.…”
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Data-driven discovery and parameter estimation of mathematical models in biological pattern formation. by Hidekazu Hishinuma, Hisako Takigawa-Imamura, Takashi Miura

“…We tested the method with Turing patterns and demonstrated its high accuracy and correspondence to analytical features. …”
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“The Biggest Small Town in America”: Cross-generational Patterns of Monophthongization in the Suburban South by Marc-Philippe Brunet

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Dermoscopic Patterns of Facial Melanoses in Adult Patients: A Cross-sectional Study by Manjari Annapurna Malladi, Rameez Raja Mullan Abdul, Divya Sri Vaka, Abhilash Bhavani Satya Venkata Subrahmanya Pampana, Susmitha Kattamsetty

“…Different pigmentary conditions exhibit specific pigment patterns, networks and special features on dermoscopy, which aid in their diagnosis. …”
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Composition pattern-aware web service recommendation based on depth factorisation machine by Bing Tang, Mingdong Tang, Yanmin Xia, Meng-Yen Hsieh

“…In order to recommend Web services considering user's preferences, a composition pattern-aware Web service recommendation method called EWACP-DeepFM is proposed, which combines the composition patterns between Web services and Mashups and the co-occurrence and popularity of Web services. …”
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Dermatoscopic Patterns in Mycosis Fungoides: Observations from a Case-Series Retrospective Analysis and a Review of the Literature by Corrado Zengarini, Federica Tugnoli, Alessio Natale, Martina Mussi, Giacomo Clarizio, Claudio Agostinelli, Elena Sabattini, Alberto Corrà, Bianca Maria Piraccini, Alessandro Pileri

“…Dermoscopic images were evaluated for vascular patterns, pigmentation, scaling, and keratin plugs. …”
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Student behavior patterns in vocational education big data based on clustering algorithm by Jing Jin

“…This is followed by behavioural analysis and key feature selection for clustering. The appropriate number of clusters is set, and the Euclidean distance is used to measure the similarity between each student and the centre point to complete the division of student behaviour patterns. …”
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Classification of Chronic Obstructive Pulmonary Disease (COPD) Through Respiratory Pattern Analysis by Do-Kyeong Lee, Jae-Sung Choi, Seong-Jun Choi, Min-Hyung Choi, Min Hong

“…<b>Method:</b> This study measured the respiratory volume based on thermal images, stored the respiratory data, and derived features related to respiratory patterns, including the total respiratory volume, average distance between expirations, average distance between inspirations, and total respiratory rate. …”
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Review of Directed Self-Assembly Material, Processing, and Application in Advanced Lithography and Patterning by Xiuyan Cheng, Di Liang, Miao Jiang, Yufei Sha, Xiaonan Liu, Jinlai Liu, Qingchen Cao, Jiangliu Shi

“…Through novel DSA lithography technology, nanoscale patterns with smaller feature sizes and higher densities can be obtained, realizing the miniaturization of hole and line patterns and pitch multiplication and improving the roughness and local critical dimension uniformity (LCDU). …”
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Ship behavior pattern recognition method based on hybrid graph neural networks by Lin Ma, Lin Ma, Hao Cao, Hao Cao, Guo-You Shi, Guo-You Shi

“…These models leverage standardized automatic identification system data to improve feature extraction and recognition accuracy.ResultsExperimental results demonstrate that the proposed models achieve over 98% accuracy in ship behavioral pattern recognition, with fast convergence and superior performance compared to conventional GNN-based methods.DiscussionThe models provide robust and efficient solutions for maritime traffic analysis, offering significant potential for real-world applications in ship monitoring, intelligent navigation, and maritime safety management.…”
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Implications of Sponge Biodiversity Patterns for the Management of a Marine Reserve in Northern Australia. by Rachel Przeslawski, Belinda Alvarez, Johnathan Kool, Tom Bridge, M Julian Caley, Scott Nichol

“…Between eastern and western areas of the CMR, there was no difference between sponge species richness or assemblages on raised geomorphic features. Among individual raised geomorphic features, sponge assemblages were significantly different, but species richness was not. …”
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Entropy-Based Ensemble of Convolutional Neural Networks for Clothes Texture Pattern Recognition by Reham Al-Majed, Muhammad Hussain

“…We propose a deep learning method based on an ensemble of convolutional neural networks where feature engineering is not required while extracting robust local and global features of clothes patterns. …”
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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

“…The best-performing model, a modified version of the Light Gradient Boosting Machine (LightGBM), identified nine key features using permutation importance. Feature interactions with age were further examined to understand their relationship with cognitive decline. …”
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Fish Body Pattern Style Transfer Based on Wavelet Transformation and Gated Attention by Hongchun Yuan, Yixuan Wang

“…Then, we introduce the wavelet-gated styling network, which reconstructs a multi-scale feature space via discrete wavelet transform, enhancing the granularity of multi-scale style features during the image generation phase. …”
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Feature Analysis for Motor Imagery EEG Signals with Different Classification Schemes by Ismail Sarıtas, Esra Kaya

“…Also, the most efficient feature space was found using Neighborhood Component Analysis. …”
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