K-Means Clustering and Classification of Breast Cancer Images Using Histogram of Oriented Gradients Features and Convolutional Neural Network Models: Diagnostic Image Analysis Stud... by Said Salloum

“…The proposed hybrid method included three stages: (1) unsupervised clustering using K-means to group visually similar features; (2) feature extraction using Histogram of Oriented Gradients (HOG) to capture texture and shape patterns; and (3) classification using a CNN trained on the extracted features. …”
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TFDGiniXML: A Novel Explainable Machine Learning Framework for Early Detection of Cardiac Abnormalities Based on Nonlinear Time-Frequency Distribution Gini Index Features by Mohamed Aashiq, Shaiful Jahari Hashim, Fakhrul Zaman Rokhani, Marsyita Hanafi, Ahmed Faeq Hussein

“…These interpretable features provide clear insights into normal and abnormal ECG patterns. …”
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Geological structure, lithological and petrophysical properties of Neft Daşlari deposit: patterns of changes in the reservoir properties of productive strata depending on the depth... by V. Sh. Gurbanov, L. A. Sultanov, O. S. Bryukhovetsky

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AirQuaNet: A Convolutional Neural Network Model With Multi-Scale Feature Learning and Attention Mechanisms for Air Quality-Based Health Impact Prediction by Sreeni Chadalavada, Suleyman Yaman, Abdulkadir Sengur, Ravinesh C. Deo, Abdul Hafeez-Baig, Tracy Kolbe-Alexander, Niranjana Sampathila, U. Rajendra Acharya

“…The MSCBs employ four parallel 1D convolutional layers with different kernel sizes, enabling the model to extract multi-scale features critical for learning patterns in complex environmental data. …”
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Integrating CEUS Imaging Features and LI-RADS Classification for Postoperative Early Recurrence Prediction in Solitary Hepatocellular Carcinoma: A Machine Learning-Based Prognostic... by Liang L, Pang J, Zhang B, Que Q, Gao R, Wu Y, Peng J, Zhang W, Bai X, Wen R, He Y, Yang H

“…Model performance was evaluated using the concordance index (C-index), area under the curve (AUC), calibration curves, decision curve analysis (DCA), and Kaplan–Meier (KM) survival analysis.Results: Five significant features identified by univariate Cox regression were included in model development: microvascular invasion (MVI), tumor size, LI-RADS classification, tumor necrosis, and arterial enhancement patterns. …”
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Improving crop rotation classification using a random forest model incorporating spatial heterogeneity by Xiaomi Wang, Qi Tang, Kang Yang

“…Crop growth conditions generally exhibit a strong spatial heterogeneity pattern, resulting in crop growth characteristics varying with locations, limiting the classification accuracy of crop rotation. …”
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Altered spontaneous brain activity patterns in patients with unilateral acute open globe injury using amplitude of low-frequency fluctuation: a functional magnetic resonance imagin... by Tan G, Huang X, Ye L, Wu A, He L, Zhong Y, Jiang N, Zhou F, Shao Y

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TFTformer: A novel transformer based model for short-term load forecasting by Ahmad Ahmad, Xun Xiao, Huadong Mo, Daoyi Dong

“…A linear transformation layer post embedding improves feature representation, aligning and standardising features across sequences for improved pattern recognition. …”
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Interpretable Machine Learning for Population Spatialization and Optimal Grid Scale Selection in Shanghai by Yuan Cao, Hefeng Wang, Lanxuan Guo, Anbing Zhang, Xiaohu Wu

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SNet: A novel convolutional neural network architecture for advanced endoscopic image classification of gastrointestinal disorders by Samra Siddiqui, Junaid A. Khan, Tallha Akram, Meshal Alharbi, Jaehyuk Cha, Dina A. AlHammadi

“…Firstly, the endoscopic images undergo preprocessing before being subjected to feature extraction. This step involves image resizing along with the augmentation step. …”
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Agricultural Mutual Insurance in Asia, Latin America, and the Caribbean: An Integrative Review of the Micro-Level Schemes by Rival Valcin, Tomohiro Uchiyama, Rika Terano, Dario S. Celestin, Bénédique Paul

“…It is unique in providing a pattern based on successful models and highlighting what countries facing similar natural disaster exposures can learn from each other to enhance resilience and adaptation to climate risks.…”
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The Effects of Low- vs. High-Glycemic Index Mediterranean-Style Eating Patterns on Subjective Well-Being and Sleep in Adults at Risk for Type 2 Diabetes: The MEDGICarb-Intervention... by Anna Hjort, Robert E. Bergia, Marilena Vitale, Rosalba Giacco, Gabriele Riccardi, Wayne W. Campbell, Rikard Landberg

“…Results: 161 adults with ≥2 features of the metabolic syndrome completed the intervention (53% females, mean age 56 ± 10 y, mean BMI 31 ± 3 kg/m²). …”
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Smartphone-Based Sensing System for Identifying Artificially Marbled Beef Using Texture and Color Analysis to Enhance Food Safety by Hong-Dar Lin, Yi-Ting Hsieh, Chou-Hsien Lin

“…Images are processed by applying a region of interest (ROI) mask to remove background noise, followed by partitioning into grid blocks. Local binary pattern (LBP) texture features and RGB color features are extracted from these blocks to characterize surface properties of three beef types (Wagyu, regular, and fat-injected). …”
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QUANTITATIVE EXPRESSION FEATURES OF PD-1 AND TIM-3 CHECKPOINT MOLECULE RECEPTORS ON CD4⁺ AND CD8⁺ T-CELLS IN BREAST CANCER OF VARYING PROGRESSION DEGREES by Yu. A. Shevchenko, M. S. Kuznetsova, Yu. N. Khantakova, I. A. Obleukhova, A. A. Khristin, S. V. Sidorov, S. V. Sennikov

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EPILEPTIC SPASMS by K. Yu. Mukhin, M. B. Mironov

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Improved EEG-Based Emotion Classification via Stockwell Entropy and CSP Integration by Yuan Lu, Jingying Chen

“…This study applies differential entropy to a time-frequency domain that is decomposed by Stockwell transform, proposing a novel EEG emotion recognition method combining Stockwell entropy and a common spatial pattern (CSP). The results demonstrate that Stockwell entropy effectively captures the entropy features of high-frequency signals, and CSP-transformed Stockwell entropy features show superior discriminative capability for different emotional states. …”
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Coccolithophore Assemblage Dynamics and <i>Emiliania huxleyi</i> Morphological Patterns During Three Sampling Campaigns Between 2017 and 2019 in the South Aegean Sea (Greece, NE Me... by Patrick James F. Penales, Elisavet Skampa, Margarita D. Dimiza, Constantine Parinos, Dimitris Velaoras, Alexandra Pavlidou, Elisa Malinverno, Alexandra Gogou, Maria V. Triantaphyllou

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Quantifying regional differentiation of yardang groups using terrain texture indices by Haoyang Jiao, Jianhua Cheng, Fayuan Li, Junfei Ma, Xinyu Xu, Xin Yang, Guoan Tang, Hong Wei

“…With yardang research advancing into Earth system science and deep space exploration, there is increasing demand for studies on large-scale spatial patterns. Although texture analysis techniques effectively characterize terrain textures of macro-scale landforms with waveform features, such techniques do not fully capture yardang terrain textures with distinctive surface features. …”
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Exploring the Relationship between Spatiotemporal Distribution of Urban Vibrancy and Neighborhood Attributes by Coupling Multi-Source Data: A Case of Nanshan District in Shenzhen by Liu Feng, Tang Zhong, Zhang Liang, Yu Lingmin, Liu Ke

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ABOUT MODELING COMPLEX ASSEMBLIES IN SOLIDWORKS – LARGE AXIAL BEARING by Cătălin IANCU

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