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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Enhancing Traffic Accident Severity Prediction: Feature Identification Using Explainable AI by Jamal Alotaibi

“…This study aims to explore critical features related to traffic accident detection and prevention. …”
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MiRNA target enrichment analysis of co-expression network modules reveals important miRNAs and their roles in breast cancer progression by Bazyari Mohammad Javad, Aghaee-Bakhtiari Seyed Hamid

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Feature Fusion for Improved Skin Cancer Diagnosis Using Support Vector Machines by ali fahim

“…As such, the SVM classifier can be considered effective, for the early detection of skin cancers. The results from this investigation verify that the capacity of SVMs, in terms of skin cancer diagnosis, is greatly improved with the utilization of feature fusion techniques. …”
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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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Automated facial feature evaluation system to prevent stress of head fixed mice. by Anna Nasr, Gianna Rettinger, Huibert D Mansvelder, Robert N S Sachdev, Matthew E Larkum

“…In this study, we present MouseCare, an automated software solution for immediate stress detection by real-time facial feature video analysis in head-fixed mice. …”
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ST-CFI: Swin Transformer with convolutional feature interactions for identifying plant diseases by Sheng Yu, Li Xie, Liang Dai

“…This paper introduces the Swin Transformer with Convolutional Feature Interactions (ST-CFI), a state-of-the-art deep learning framework designed for detecting plant diseases through the analysis of leaf images. …”
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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

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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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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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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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Overlapping Gene Expression and Molecular Features in High-Grade B-Cell Lymphoma by Katharina D. Faißt, Cora C. Husemann, Karsten Kleo, Monika Twardziok, Michael Hummel

“…To this end, we performed a comprehensive gene expression and mutational pattern analysis as well as the detection of B-cell clonality of 34 cases diagnosed with BL (<i>n</i> = 4), DLBCL (<i>n</i> = 16), HGBL DH (<i>n</i> = 8), and HGBL NOS (<i>n</i> = 6). …”
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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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A Comprehensive Review of Systemic Sclerosis: Diagnosis, Clinical Features and Management Strategies by Agnieszka Borowiec, Kinga Borowiec, Paulina Kwaśniewska, Julia Biernikiewicz, Milena Biernikiewicz, Anna Wilewska, Bartosz Pomirski, Agata Pomirska, Konstanty Alabrudziński, Miszela Kałachurska

“…Despite advances in treatment, SSc remains a challenging disease requiring ongoing vigilance for early detection and intervention. Purpose The purpose of this article is to provide a comprehensive overview of systemic sclerosis, focusing on its diagnostic criteria, clinical features and management strategies. …”
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PHENOTYPIC FEATURES OF CELLS IN URINARY SEDIMENT OF PATIENTS WITH NON-INVASIVE BLADDER CANCER by R. A. Zukov, E. V. Slepov, E. V. Semenov, L. M. Kurtasova

“…In our study we used flow cytometry to determine surface markers in urinary sediment cells of patients with bladder cancer. The analysis of the phenotypic features of urinary sediment cells showed an increase in the relative content of CD13+ cells in patients with non-invasive bladder cancer in comparison with the control group. …”
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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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