Flower Automata Pattern-Based Discrimination of Fibromyalgia From Control Subjects Using Fusion of Sleep EEG and ECG Signals by Prabal Datta Barua, Makiko Kobayashi, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Jose Kunnel Paul, Thomas Iype, U. R. Acharya

“…Three feature selection strategies—Neighborhood Component Analysis (NCA), Chi2, and the intersection of NCA and Chi2 (NCA^Chi2) — are employed to generate robust feature vectors, which are classified using k-nearest neighbors (kNN) and support vector machine (SVM) under the leave-one-record-out cross-validation (LORO CV) scheme. …”
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Application of Fast Kurtosis Spectrum in Fault Feature Extraction of Compound Planetary Gear by Wu Shoujun Feng Fuzhou Wu Chunzhi Ding Chuang

“…Fast kurtosis specturm has fast detection ability for transient impulse signal and is widely used in fault feature extraction of rotating machinery. …”
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G2Grad-CAMRL: An Object Detection and Interpretation Model Based on Gradient-Weighted Class Activation Mapping and Reinforcement Learning in Remote Sensing Images by Shoulin Yin, Liguo Wang, Muhammad Shafiq, Lin Teng, Asif Ali Laghari, Muhammad Faizan Khan

“…Aiming at the complex background of RSIs and the lack of interpretability of existing target detection models, and the problems in feature extraction between different network structures, different layers, and the accuracy of target classification, we propose an object detection and interpretation model based on gradient-weighted class activation mapping and reinforcement learning. …”
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Cross-Modal Insights into Urban Green Spaces Preferences by Jiayi Yan, Fan Zhang, Bing Qiu

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Skin Lesion Diagnosis Through Deep Learning and Hybrid Texture Feature Augmentation by Irpan Adiputra Pardosi, Roni Yunis, Arwin Halim

“… Skin cancer is a leading cause of cancer-related deaths globally, with melanoma being the most lethal subtype. Early detection remains critical for improving patient outcomes. …”
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Effects of data transformation and model selection on feature importance in microbiome classification data by Zuzanna Karwowska, Oliver Aasmets, Estonian Biobank research team, Tomasz Kosciolek, Elin Org

“…However, while different transformations resulted in comparable classification performance, the most important features varied significantly, which highlights the need to reevaluate machine learning–based biomarker detection. …”
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Feature Extraction Based on Adaptive Multiwavelets and LTSA for Rotating Machinery Fault Diagnosis by Na Lu, Guangtao Zhang, Zhihuai Xiao, Om Parkash Malik

“…Then, in order to avoid the adverse effect of the irrelevant features in this high-dimensional feature set on the fault diagnosis result, a detection index (DI) is investigated to evaluate the sensitivity of the features and those with lower sensitivity are removed. …”
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Spatial correlation guided cross scale feature fusion for age and gender estimation by Shiyi Jiang, Qing Ji, Hukui Shi, Che Chen, Yang Xu

“…The SCCA module introduces a novel bipartite grouping mechanism that leverages hotspot detection to preserve discriminative body features when facial cues are unavailable. …”
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Employee Turnover Prediction Model Based on Feature Selection and Imbalanced Data Handling by Yuan Fang, Zhongqiu Zhang

“…Feature selection was performed using correlation matrix analysis, Chi-Square tests, and Recursive Feature Elimination (RFE) to identify the most relevant features. …”
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Efficient and Explainable Bearing Condition Monitoring with Decision Tree-Based Feature Learning by Trong-Du Nguyen, Thanh-Hai Nguyen, Danh-Thanh-Binh Do, Thai-Hung Pham, Jin-Wei Liang, Phong-Dien Nguyen

“…It is well suited for real-time and resource-constrained industrial applications. Furthermore, feature importance analysis reveals the most influential frequency components associated with different fault types, offering valuable insights for predictive maintenance strategies. …”
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Highly Accurate Brain Tumor Segmentation and Classification Using Multiple Feature Sets by Megha Sunil Borse, Murali Prasad R, Tummala Ranga Babu

“… Purpose: Nowadays, detecting brain tumors is a crucial application. If a tumor is discovered later on, the medical issues are significant. …”
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Enhanced Fetal Arrhythmia Classification by Non-Invasive ECG Using Cross Domain Feature and Spatial Differences Windows Information by Gede Angga Pradipta, Putu Desiana Wulaning Ayu, Made Liandana, Dandy Pramana Hostiadi

“…This study presents a new cross-domain feature extraction method that incorporates temporal relationships between consecutive windows, improving feature representation by examining the correlation between neighboring windows. …”
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Integrating Correlation-Based Feature Selection and Clustering for Improved Cardiovascular Disease Diagnosis by Agnieszka Wosiak, Danuta Zakrzewska

“…Thus, the method consisting of selecting reversed correlated features as attributes of cluster analysis is considered. …”
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A Comparative Evaluation of Texture Features for Semantic Segmentation of Breast Histopathological Images by R. Rashmi, Keerthana Prasad, Chethana Babu K. Udupa, V. Shwetha

“…Breast histopathological image analysis helps in understanding the structure and distribution of the nucleus, thereby assisting in the detection of breast cancer. …”
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Graph-Based Radiomics Feature Extraction From 2D Retina Images by Ofelio Jorreia, Nuno Goncalves, Rui Cortesao

“…Medical image analysis offers valuable visual support for clinical decision-making, yet the incorporation of quantitative data is essential for deeper diagnostic insight. …”
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A scoping review of the use of artificial intelligence models in automated OCT analysis and prediction of treatment outcomes in diabetic macular oedema by Mohaimen Al-Zubaidy, Agnieszka Stankiewicz, Matthew Anderson, Jordan Reed, Veronica Corona, Rebecca Pope, Boguslaw Obara, Maged S. Habib, David H. Steel

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Features of localization and type of surgical treatment of aneurysms of unpaired visceral aortal branches by A. A. Nykonenko

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Clinical and Epidemiological Features of Allergies in Schoolchildren of the Chechen Republic: Results of an Epidemiological Study by Aset Kh. Ibisheva, Saihat A. Shamsadova, Leyla S. Namazova-Baranova

“…The aim of the study is to investigate clinical and epidemiological features of allergies in schoolchildren of the Chechen Republic. …”
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Method for extracting ship shaft rate features by fusing acoustic and magnetic field by Taotao Xie, Qing Ji, Peng Yu, Jiawei Zhang

“…Using the vessel’s shaft-rate information as a key criterion, this paper proposes to fuse the acoustic and magnetic fields to extract the shaft-rate features of the vessel. Specifically, the line spectra of the shaft-rate acoustic and magnetic fields are first extracted using DEMON spectral analysis and power spectral analysis methods, respectively. …”
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Topic-oriented measurement of microblogging network by Wei LIU, Li-hong WANG, Rui-guang LI

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