Analysis of features of papillary thyroid carcinoma on color Doppler ultrasound images: implications for lymph node metastasis by Lu Cao, Ying Cao, Xiangru Wang, Xinxin Lu, Fangxi Zhao, Lei Sun, Hua Wang, Xiaopeng Li

“…Conclusions This study classifies PTC into five types on the basis of color Doppler flow features and highlights the garland pattern as a potential predictor of LNM risk.…”
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Integrative multi-omics analysis and machine learning refine global histone modification features in prostate cancer by XiaoFeng He, QinTao Ge, QinTao Ge, WenYang Zhao, Chao Yu, HuiMing Bai, XiaoTong Wu, Jing Tao, WenHao Xu, WenHao Xu, Yunhua Qiu, Lei Chen, JianFeng Yang

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Central nervous system infectious diseases mimicking multiple sclerosis: recognizing distinguishable features using MRI by Antonio Jose da Rocha, Ingrid Aguiar Littig, Renato Hoffmann Nunes, Charles Peter Tilbery

“…Several diseases are included in the MS differential diagnosis list, including diseases with exacerbation, remitting periods and numerous treatable infectious diseases, which can mimic the MRI features of MS. We discuss the most relevant imaging features in several infectious diseases that resemble MS and examine the primary spatial distributions of lesions and the gadolinium enhancement patterns related to MS. …”
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Visualization of large-scale user association feature data based on a nonlinear dimensionality reduction method by Nong Linlin

“…Traditional linear dimensionality reduction methods often fail to obtain intuitive information and discover intrinsic connections and patterns in complex high-dimensional data. This study proposes a large-scale user association feature data (LSUAFD) visualization study based on nonlinear dimensionality reduction methods to address the complexity and high-dimensional issues of data. …”
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A comparative study of the features in Syriac Arabic and Samaritan Arabic, exploring their similarities and differences as Semitic languages by Hashim Taha Raheem, Nihad Hasan Haji

“…These texts share to some extent same linguistic features due to their bilingual nature. They have been written in Arabic Language. …”
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Clinical features of non-compaction cardiomyopathy across age groups: a retrospective study of 415 patients by Ying Li, Jimei Chen, Min Qiu, Miao Tian, Ziqin Zhou, Ruyue Zhang, Jiazichao Tu, Linjiang Han, Shuheng Zhou, Xinming Li, Jian Zhuang, Shusheng Wen

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A Classification Method for E-mail Spam Using a Hybrid Approach for Feature Selection Optimization by Zeinab Hassani, vahid Hajihashemi, Keivan Borna, Iman Sahraei Dehmajnoonie

“…Nonetheless, in spam detection, there are a large number of features to attend as they play an essential role in detection efficiency. …”
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EEG-based epilepsy detection using CNN-SVM and DNN-SVM with feature dimensionality reduction by PCA by Yousra Berrich, Zouhair Guennoun

“…Abstract This study focuses on epilepsy detection using hybrid CNN-SVM and DNN-SVM models, combined with feature dimensionality reduction through PCA. The goal is to evaluate the effectiveness and performance of these models in accurately identifying epileptic patterns. …”
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Customized Spectro-Temporal CNN Feature Extraction and ELM-Based Classifier for Accurate Respiratory Obstruction Detection by M. Muthulakshmi, K. Venkatesan, Syarifah Bahiyah Rahayu, K. L. Nayana Sree

“…The proposed CNN-enhanced time-frequency features powered the ELM-based framework, yielding a test accuracy of 97.5% for the unseen test data considered. …”
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APPSO‐NN: An adaptive‐probability particle swarm optimization neural network for sensorineural hearing loss detection by Jingyuan Yang, Yu‐Dong Zhang

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Machine Learning Classification of 3D Intracellular Trafficking Using Custom and Imaris-Derived Motion Features by Oleg Kovtun

“…It presents an algorithm that predicts intracellular motion types based on a comprehensive feature set, including custom statistical descriptors and standard Imaris-derived trajectory features, which capture subtle variations in individual trajectories. …”
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PLM-ATG: Identification of Autophagy Proteins by Integrating Protein Language Model Embeddings with PSSM-Based Features by Yangying Wang, Chunhua Wang

“…Although current computational approaches have addressed experimental recognition’s costly and time-consuming challenges, they still have room for improvement since handcrafted features inadequately capture the intricate patterns and relationships hidden in sequences. …”
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RoBERTa-Based Multi-Feature Integrated BiLSTM and CNN Model for Ceramic Review Analysis by LiHua Yang, Jun Wang, WangRen Qiu

“…To address the limitation that the Robustly Optimized BERT Pretraining Approach (RoBERTa) may not effectively capture local dependencies and salient features within the text, we propose a feature fusion framework based on RoBERTa’s multi-output architecture. …”
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Improved and Interpretable Solar Flare Predictions With Spatial and Topological Features of the Polarity Inversion Line Masked Magnetograms by Hu Sun, Ward Manchester IV, Yang Chen

“…The second set utilizes tools coming from spatial statistics to analyze the vertical magnetic field component Br and summarize its spatial variations and clustering patterns. All features are constructed within regions near the polarity inversion lines (PILs) and classification performances using the new features are compared against those using SHARP parameters (also along the PIL). …”
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Non-parametric feature selection and machine learning based seasonal GHI prediction for SAPV systems in India by Aadyasha Patel, Gnana Swathika O․V․

“…Seasonality-based feature selection encompasses categorizing and picking features that reflect seasonal changes in data. …”
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Features of Electronic Transport Properties in All-Carbon Films Based on Bilayer Graphene and Single-Walled Nanotubes by Michael M. Slepchenkov, Pavel V. Barkov, Olga E. Glukhova

“…In this paper, we conduct a detailed in silico study of the role of topological features in the electronic transport properties of all-carbon films. …”
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Vision-Based Grasping Method for Prosthetic Hands via Geometry and Symmetry Axis Recognition by Yi Zhang, Yanwei Xie, Qian Zhao, Xiaolei Xu, Hua Deng, Nianen Yi

“…The method utilizes computer vision to extract the geometric shape, spatial position, and symmetry axis of target objects and selects appropriate grasping modes and postures through the extracted features. First, grasping patterns are classified based on the analysis of hand-grasping movements. …”
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An ensemble deep learning framework for energy demand forecasting using genetic algorithm-based feature selection. by Mohd Sakib, Tamanna Siddiqui, Suhel Mustajab, Reemiah Muneer Alotaibi, Nouf Mohammad Alshareef, Mohammad Zunnun Khan

“…However, selecting the most appropriate features to enhance prediction accuracy and robustness remains a key challenge. …”
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The Fine Feature Extraction and Attention Re-Embedding Model Based on the Swin Transformer for Pavement Damage Classification by Shizheng Zhang, Kunpeng Wang, Zhihao Liu, Min Huang, Sheng Huang

“…Unlike the original Swin Transformer, the proposed model incorporates two key components: a fine feature extraction module and a multi-head self-attention re-embedding module. …”
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Copying fidelity of functional and non-functional features in ni-Vanuatu children: A transmission chain study by Anne Sibilsky, Heidi Colleran, Dominik Deffner, Daniel B M Haun

“…Our study shows that children are prone to passing on a functional feature across multiple generations of peers. Children copy non-functional features as well, but with lower fidelity. …”
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