The features of nonpsychotic mental disorders in patients with epilepsy in the initial period of the disease by S. A. Gromov, L. V. Lipatova, O. N. Yakunina, N. A. Sivakova

“…Clinical, psychological and neurophysiological studies were conducted in 239 patients with epilepsy, 123 with duration of the disease no more than 3 years, for clarify the features of nonpsychotic psychiatric disorders in the initial period of epilepsy. …”
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Crystallization behavior and morphological features of ethylene-vinyl alcohol 44 copolymer by Clement Freymond, Alain Guinault, Matthieu Gervais, Miroslaw Pluta, Tomasz Makowski, Ewa Piorkowska, Cyrille Sollogoub

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Class-aware feature attention-based semantic segmentation on hyperspectral images. by Prabu Sevugan, Venkatesan Rudhrakoti, Tai-Hoon Kim, Megala Gunasekaran, Swarnalatha Purushotham, Ravikumar Chinthaginjala, Irfan Ahmad, Kumar A

“…First, the class-aware feature attention procedure is used to improve the extraction and processing of distinct types of semantic information. …”
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CADASTRAL SURVEY OF UNIQUE LANDSCAPE FEATURES VIA THE EXAMPLE OF VÁSZOLY, HUNGARY by SZILVIA TÓTH, JUDIT ENDRŐDI, GERGELY HORVÁTH

“…Surveying the sets of the unique landscape features, the changing landscape patterns, the certain landscape characters and the peculiarities of the landscape explain their origin and former function.…”
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S. Spitz nevus – Clinical, Dermatoscopic and Histological Features Correlation – Cases Report by T. Shulaia, N. Kiladze, A. Miriamidze

“…Spitz nevus due to its peculiar clinical, dermatoscopic and histomorphological features. Dermatoscopy has emerged as an important tool in the evaluation of patients with such lesions, but it is still necessary to perform a biopsy or excision for cases with suspicious clinical manifestations or atypical dermatoscopic patterns. …”
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Gender classification performance optimization based on facial images using LBG-VQ and MB-LBP by Faruq Abdul Hakim, Tio Dharmawan, Muhamad Arief Hidayat

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‘What’s the word? That’s the word!’: linguistic features of Filipino queer language by Mark Bedoya Ulla, Jonathan Marcos Macaraeg, Renz E. Ferrera

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Encrypted traffic identification scheme based on sliding window and randomness features by LIU Jiachi, KUANG Boyu, SU Mang, XU Yaqian, FU Anmin

“…Specifically, the scheme involved sampling the payloads of data packets in sessions using a sliding window mechanism to obtain data block sequences that reflect the information patterns of the original traffic. For each data block, randomness measurement algorithms were utilized to extract sample features and construct randomness features for the original payload. …”
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Failure of affine‐based reconstruction attack in regenerating vascular feature points by Mahshid Sadeghpour, Arathi Arakala, Stephen A. Davis, Kathy J. Horadam

“…Here it is shown that the attack fails to regenerate sparse vascular feature point templates. The reconstruction attack on feature point patterns extracted from retina and hand vascular images is tested. …”
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A Feature-Selective Independent Component Analysis Method for Functional MRI by Yi-Ou Li, Tülay Adali, Vince D. Calhoun

“…We also compare the task-related sources estimated from true fMRI data by a feature-selective ICA algorithm versus an ICA algorithm and show evidence that the feature-selective scheme helps improve the estimation of the sources in both spatial activation patterns and the time courses.…”
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Optimizing Power Forecasting Models with Customized Features for Academic and Industrial Buildings by David Cabezuelo, Izar Lopez-Ramirez, June Urkizu, Ander Goikoetxea

“…The inclusion of more historical power consumption features was also found to have a more significant impact on the accuracy of predictions than including climate condition features. …”
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RadiomixNet: Integrating Radiomics and Feature Extraction for Advanced Pneumonia Diagnosis by Rahul Gowtham Poola, Siva Sankar Yellampalli

“…Advanced texture analysis methods, including Gray Level Size Zone Matrix, Gray Level Co-Occurrence Matrix, Gray Level Dependence Matrix and, Gray Level Run Length Matrix were employed to extract radiomics features. Power Spectral Density analysis using Burg, Yule Walker, and Welch techniques further enriched the understanding of frequency characteristics within the radiomics feature matrices, uncovering patterns vital for precise predictions. …”
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The Comparison of Activation Functions in Feature Extraction Layer using Sharpen Filter by Oktavia Citra Resmi Rachmawati, Ali Ridho Barakbah, Tita Karlita

“… Activation functions are a critical component in the feature extraction layer of deep learning models, influencing their ability to identify patterns and extract meaningful features from input data. …”
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Classification of differentially activated groups of fibroblasts using morphodynamic and motile features by Minwoo Kang, Chanhong Min, Somayadineshraj Devarasou, Jennifer H. Shin

“…Morphological and motility characteristics of fibroblasts reflect their underlying gene expression patterns and activation states, making these features valuable descriptors of fibroblast behavior. …”
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Densenet Model for Binary Glaucoma Classification Performance Assessment with Texture Feature by Wildan Jameel Hadi, Amal Sufiuh Ajrash, Sahar Muneam Salman, Mays jalal jasim, Mina Taha Ibrahim

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Feature selection for helpfulness prediction of online product reviews: An empirical study. by Jiahua Du, Jia Rong, Sandra Michalska, Hua Wang, Yanchun Zhang

“…Empirical results demonstrate that semantics plays a dominant role in predicting informative reviews, followed by sentiment, and other features. Finally, feature combination patterns and selection guidelines across domains are summarized to enhance customer experience in today's prevalent e-commerce environment. …”
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Intelligent anti-jamming communication technology with electromagnetic spectrum feature cognition. by Hui Zhao, Guobin Zhao, Xichun Wang, Zhonghui Zhang, Xianchao Xun

“…By extracting and processing signal features through deep neural networks, and dynamically adjusting communication strategies with near-end optimization, the model effectively addresses the recognition and prediction of signal transmission feature parameters in target communication systems, generates interference signals with the same feature parameters, and achieves effective interference suppression. …”
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Optimisation-Based Feature Selection for Regression Neural Networks Towards Explainability by Georgios I. Liapis, Sophia Tsoka, Lazaros G. Papageorgiou

“…Feature selection approaches address this challenge by simplifying datasets through the removal of unimportant features, while improving explainability by revealing feature importance. …”
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An explainable feature selection framework for web phishing detection with machine learning by Sakib Shahriar Shafin

“…Specifically, we employ SHapley Additive exPlanations (SHAP) for global perspective and aggregated local interpretable model-agnostic explanations (LIME) to determine specific localized patterns. The proposed SHAP and LIME-aggregated FS (SLA-FS) framework pinpoints the most informative features, enabling more precise, swift, and adaptable phishing detection. …”
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Clothing Recommendation with Multimodal Feature Fusion: Price Sensitivity and Personalization Optimization by Chunhui Zhang, Xiaofen Ji, Liling Cai

“…To address this gap, we propose DeepFMP, a multimodal deep learning framework that integrates visual, textual, and price features through an enhanced DeepFM architecture. Leveraging the IQON3000 dataset, our model employs ResNet-50 and BERT for image and text feature extraction, alongside a comprehensive price feature module capturing individual, statistical, and category-specific price patterns. …”
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