Using Hybrid Feature and Classifier Fusion for an Asynchronous Brain–Computer Interface Framework Based on Steady-State Motion Visual Evoked Potentials by Bo Hu, Jun Xie, Huanqing Zhang, Junjie Liu, Hu Wang

“…The method integrates filter bank common spatial patterns (FBCSPs) and filter bank canonical correlation analysis (FBCCA) to extract complementary spatial and frequency domain features from EEG signals. …”
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Advanced hybrid deep learning model for enhanced evaluation of osteosarcoma histopathology images by Arezoo Borji, Arezoo Borji, Arezoo Borji, Gernot Kronreif, Bernhard Angermayr, Bernhard Angermayr, Sepideh Hatamikia, Sepideh Hatamikia

“…The CNN model extracts local features, while the ViT captures global patterns from histopathological images. …”
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Unsupervised learning of temporal features for word categorization in a spiking neural network model of the auditory brain. by Irina Higgins, Simon Stringer, Jan Schnupp

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Bilateral Shallow Anterior Chamber And Transient Myopia As A Presenting Feature Of Vogt Koyanagi Harada Syndrome by Rahul Kumar Sharma, Abhishek Dagar, Vivek Kumar

“…Exudative retinal detachment on fundus examination along with optical coherence tomography (OCT) features and fundus fluorescein angiogram (FFA) pattern confirmed our diagnosis as incomplete VKH. …”
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Brain Tumour Detection Using VGG-Based Feature Extraction With Modified DarkNet-53 Model by S. Trisheela, Roshan Fernandes, Anisha P. Rodrigues, S. Supreeth, B. J. Ambika, Piyush Kumar Pareek, Rakesh Kumar Godi, G. Shruthi

“…Artificial intelligence extends beyond pattern recognition, planning, and problem-solving, particularly in the realm of machine learning, where deep learning frameworks play a pivotal role. …”
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GB-SAR Engineering Interference Suppression Method Integrating Amplitude-Phase Feature Analysis and Robust Regression by Wenting Zhang, Tao Lai, Yuanhui Mo, Haifeng Huang, Qingsong Wang, Zhihua Zhou

“…Current research on addressing engineering interference in GB-SAR deformation monitoring remains preliminary, with existing methods exhibiting limitations in interference pattern coverage, feature extraction, and algorithm robustness. …”
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The LETBP feature descriptor based fish species classification using Kepler optimization with Extreme Learning Machine by Annalakshmi GANESAN, Sakthivel Murugan SANTHANAM

“…To improve the quality of the images a basic CLAHE image enhancement technique is applied. Then, the novel feature descriptor method called local energy triangular binary pattern (LETBP) is proposed to extract features from the images, which effectively extracts the pixel information from all directions. …”
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A Novel Improvement of Feature Selection for Dynamic Hand Gesture Identification Based on Double Machine Learning by Keyue Yan, Chi-Fai Lam, Simon Fong, João Alexandre Lobo Marques, Richard Charles Millham, Sabah Mohammed

“…In current research and applications, traditional machine learning and deep learning models always focus on prediction and pattern recognition. In contrast, causal machine learning goes a step further by revealing causal relationships between different variables. …”
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Magnetic resonance imaging features of intrahepatic bile duct adenoma: a 10-year retrospective study by Ge Sun, Jiamei Yao, Huai Chen, Mengsu Zeng, Mingliang Wang

“…Conclusion The MRI features of BDA included small lesions near the liver capsule, characterized by distinct morphology and enhancement patterns, alongside elevated ADC values that distinguish them from malignant hepatic lesions. …”
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Geographical feature and method factors significantly influence the reliability of ecological source information transmission at multi-scale by Kai Li, Wei Wu, Shiqi Tian, Linjuan Li, Zhe Li, Yue Cao

“…This study was conducted in two regions with distinct geographical features: the Yangtze River Delta Region (YRDR) and the Loess Plateau Region (LPR). …”
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Graph-based analysis of histopathological images for lung cancer classification using GLCM features and enhanced graph by Imam Dad, JianFeng He, Zulqarnain Baloch

“…Our methodology leverages Gray-Level Co-occurrence Matrix (GLCM) features to quantify tissue texture, constructs a Sparse Cosine Similarity Matrix (SCSM) to model spatial relationships, and employs DeepWalk embeddings to capture topological patterns. …”
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On the local features of the Sargatka Culture settlements in the Tobol River basin (based on pottery complex of the Rafailovo settlement) by Prokonova M.M., Matveeva N.P.

“…The ware of the eastern area features carved ornamentation; in particular, the ornamentation of the early complexes is characterized by vessels with “pearls”, alien to other areas, probably dating back to the late Irmene tradition, and the later sites demonstrate an increasing proportion of vessels with dimpled and pricked patterns, possibly originating from the Bogochanovo Culture. …”
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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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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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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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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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