PneuX-Net: An Enhanced Feature Extraction and Transformation Approach for Pneumonia Detection in X-Ray Images by Kashif Munir, Muhammad Usama Tanveer, Hasan J. Alyamani, Amine Bermak, Atiq Ur Rehman

“…Random Forest (RF) builds multiple decision trees to identify complex, non-linear patterns within the feature space. Gaussian Naïve Bayes (GNB) utilizes a probabilistic framework based on Bayes’ theorem to manage uncertainty in feature distributions. …”
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Hyperspectral Image Super-Resolution via Grouped Second-Order Spatial Features and Spectral Attention Network by Allen Patnaik, M. K. Bhuyan, Sultan Alfarhood, Mejdl Safran

“…To address these issues, we developed a grouped second-order spatial features and spectral attention network (GSSAN). GSSAN incorporates a grouped second-order spatial attention (GSOSA) module to extract relevant first- and second-order spatial features. …”
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miR-155 and miR-223 as markers of biological and clinical features of chronic lymphocytic leukemia by M. L. Perepechaeva, O. B. Goreva, O. V. Berezina, T. I. Pospelova, A. Yu. Grishanova

“…Chronic lymphocytic leukemia (CLL) is a disease characterized by large individual differences both in the clinical course and in molecular patterns of expression of genes and regulatory RNAs, which can influence pathological changes. …”
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Multi-Biometric Feature Extraction from Multiple Pose Estimation Algorithms for Cross-View Gait Recognition by Ausrukona Ray, Md. Zasim Uddin, Kamrul Hasan, Zinat Rahman Melody, Prodip Kumar Sarker, Md Atiqur Rahman Ahad

“…Gait recognition is a behavioral biometric technique that identifies individuals based on their unique walking patterns, enabling long-distance identification. Traditional gait recognition methods rely on appearance-based approaches that utilize background-subtracted silhouette sequences to extract gait features. …”
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Computed Tomographic Features of Bezoars and Other Gastrointestinal Foreign Bodies in Dogs and Cats: A Comparative Analysis by Jongwon Koo, Kidong Eom, Jaehwan Kim, Jeongyun Jeong, Hongji Yoon, Minsu Lee, Jinsoo Park, Jongmun Cho

“…A total of 33 cases (26 dogs, 7 cats) with surgically or endoscopically confirmed foreign bodies were reviewed, classified as bezoars (<i>n</i> = 15) or distinct foreign bodies (<i>n</i> = 18). CT features such as attenuation values, transition zones, and proximal-to-distal small intestinal diameter ratios were compared. …”
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A Lightweight Intrusion Detection System with Dynamic Feature Fusion Federated Learning for Vehicular Network Security by Junjun Li, Yanyan Ma, Jiahui Bai, Congming Chen, Tingting Xu, Chi Ding

“…The proposed framework employs a two-stream architecture, including a transformer-augmented autoencoder for abstract feature extraction and a lightweight CNN-LSTM–Attention model for preserving temporal and local patterns. …”
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Insights into Biological and Ecological Features of Four Rare and Endemic Plants from the Northern Tian Shan (Kazakhstan) by Gulbanu Sadyrova, Aisha Taskuzhina, Alexandr Pozharskiy, Kuralai Orazbekova, Kirill Yanin, Nazym Kerimbek, Saule Zhamilova, Gulzhanat Kamiyeva, Ainur Tanybaeva, Dilyara Gritsenko

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Metode Deteksi Intrusi Menggunakan Algoritme Extreme Learning Machine dengan Correlation-based Feature Selection by Sulandri Sulandri, Achmad Basuki, Fitra Abdurrachman Bachtiar

“…However, using the ELM method alone is not able to produce good accuracy, so the ELM method needs to be added to the Correlation-Based Feature Selection (CFS) feature selection method to improve the accuracy and computational time. …”
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Pathogenetic and clinical signifcance of EpCАM expression features in tumors and circulating tumor cells by V. M. Perelmuter, L. A. Tashireva, E. S. Grigoryeva, V. V. Alifanov, E. S. Pudova, A. V. Buzenkova, M. V. Zavyalova, N. V. Cherdyntseva

“…It described the causes and mechanisms behind the loss of membrane EpCAM expression, each holding distinct biological and clinical implications. Features of EpCAM expression in normal epithelial tissues, during regeneration, and in dysplasia/ neoplasia as well as carcinomas were carefully outlined. …”
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Geomorphologic feature and its tectonic significance in the middle and upper reaches of Yunnan section of the Lancang River Basin by Sheng Li, Yuanhua Qing, Na Li, Nannan Lu, Shuang Yang, Yufan Xu, Jingnan Liu, Ruotong Liu, Hao He

“…On the whole, the fault within the region have a controlling effect on the flow direction of the main river channel, and the patterns of the river system and the flow direction of the river channel are macroscopic responses to the tectonic uplift and lateral deformation.…”
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Enhancing Heart Attack Prediction: Feature Identification from Multiparametric Cardiac Data Using Explainable AI by Muhammad Waqar, Muhammad Bilal Shahnawaz, Sajid Saleem, Hassan Dawood, Usman Muhammad, Hussain Dawood

“…Machine learning (ML) and deep learning (DL) models have the potential to predict cardiac conditions by identifying complex patterns within data, but their “black-box” nature restricts interpretability, making it challenging for healthcare professionals to comprehend the reasoning behind predictions. …”
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Sparse Feature-Weighted Double Laplacian Rank Constraint Non-Negative Matrix Factorization for Image Clustering by Hu Ma, Ziping Ma, Huirong Li, Jingyu Wang

“…As an extension of non-negative matrix factorization (NMF), graph-regularized non-negative matrix factorization (GNMF) has been widely applied in data mining and machine learning, particularly for tasks such as clustering and feature selection. Traditional GNMF methods typically rely on predefined graph structures to guide the decomposition process, using fixed data graphs and feature graphs to capture relationships between data points and features. …”
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Comparative Study of Cell Nuclei Segmentation Based on Computational and Handcrafted Features Using Machine Learning Algorithms by Rashadul Islam Sumon, Md Ariful Islam Mozumdar, Salma Akter, Shah Muhammad Imtiyaj Uddin, Mohammad Hassan Ali Al-Onaizan, Reem Ibrahim Alkanhel, Mohammed Saleh Ali Muthanna

“…Conversely, CNN-based features are automatically acquired representations that identify complex patterns in nuclei images. …”
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Examining the Impact of Content Features on Customer Engagement in Social Media: A Data Mining Approach on Instagram by Azade Shekari, Mohammad Mehdi Poursaeed, Saeed Dehyadegari

“…Based on these results, the use of persuasive textual features—such as Holiday Mention and Remarkable Facts—along with informative textual features—such as price and target audiences—affect customer engagement on social media. …”
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Features of functional state restoration among military personnel after traumatic brain injury combined with acubarotrauma by A. V. Shvets, Yu. V. Podolian, M. I. Holinko

“…Aim – to study the restoration features of postconcussion symptoms and cognitive disorders based on the dynamics of the psychophysiological characteristics of combatants who received brain concussion and acubarotrauma in the acute period. …”
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Clinicopathological features of cranial-nasal-orbital communicating lesions and diagnostic indicators for differentiating benign and malignant neoplasms by Meng Xie, Jin Chen, Ya-Yan You, Zi-Xuan Su, Xi-Yin Zhu, Xing-Hua Wang, Peng-Cheng Li, Fa-Gang Jiang

“…AIM: To investigate the clinicopathological features of cranial-nasal-orbital communicating lesions and identify key diagnostic indicators for differentiating benign and malignant neoplasms. …”
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Establishing a periodic SM model with Fourier analysis for enhancing global soil moisture forecasting by Jinlong Zhu, Shengyi Wang, Qingliang Li

“…This study underscores that the LSTM with periodic features of SM can adapt to the inherent complex spatial-temporal patterns in SM dynamics, especially in scenarios characterized by rapid environmental changes and subtle temporal dynamics.…”
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Studies on the impact of key environmental variables on kashmir catfish (Glyptothorax kashmirensis Hora, 1923) distribution and abundance in Azad Jammu and Kashmir, Pakistan by Nagina Gilani, MUHAMMAD RAFIQUE, Shamim Akhter, Huma Qureshi, Ahmad Shoaib, Shakeel Ahmad

“…Present work explains the relationship of species relative abundance and physicochemical features of the species, which may assist species conservation. …”
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A feature fusion network with spatial-temporal-enhanced strategy for the motor imagery of force intensity variation by Ankai Ying, Ankai Ying, Ankai Ying, Jinwang Lv, Jinwang Lv, Jinwang Lv, Junchen Huang, Junchen Huang, Junchen Huang, Tian Wang, Peixin Si, Peixin Si, Jiyu Zhang, Guokun Zuo, Guokun Zuo, Guokun Zuo, Guokun Zuo, Jialin Xu, Jialin Xu, Jialin Xu, Jialin Xu

“…This model combines a multi-scale spatial-temporal convolution module with a spatial-temporal-enhanced strategy, a convolutional auto-encoder for information reconstruction, and a long short-term memory with self-attention, enabling the comprehensive extraction and fusion of EEG features across fine-grained time-frequency variations and dynamic spatial-temporal patterns.ResultsThe proposed FN-SSIR achieved a classification accuracy of 86.7% ± 6.6% on our force variation MI dataset, and 78.4% ± 13.0% on the BCI Competition IV 2a dataset.DiscussionThese findings highlight the potential of this paradigm and algorithm for advancing MI-BCI systems in rehabilitation training based on dynamic force interactions.…”
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An Enhanced Opinion Retrieval Approach on Arabic Text for Customer Requirements Expansion by Sarah Saad Eldin, Ammar Mohammed, Hesham Hefny, Ahmed Sharaf Eldin Ahmed

“…This paper proposed an enhanced opinion retrieval approach depending on the explicit feature based opinion mining. The proposed approach expands the initial products’ requirements using extended heuristics and linguistic patterns of the Arabic opinions. …”
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