Sex differences in features of atherosclerotic plaques as revealed by various imaging techniques: historical review by Dalya Laban, Alice Kattan, Lamia Ait-Abdellah, Hema Krishna, Hema Krishna, Elizabeth Le Master, Irena Levitan

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Spatiotemporal wind speed forecasting using conditional local convolution and multidimensional meteorology features by Meng Wang, Juanle Wang, Mingming Yu, Fei Yang

“…Furthermore, the spatial distribution of the local convolution weights aligns with local wind velocity patterns in Inner Mongolia, enhancing model interpretability. …”
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Citrus Disease Detection Based on Dilated Reparam Feature Enhancement and Shared Parameter Head by Xu Guo, Xingmeng Wang, Wenhao Zhu, Simon X. Yang, Lepeng Song, Ping Li, Qinzheng Li

“…It introduces the DR module structure for effective feature enhancement and the Detect_Shared architecture for parameter efficiency. …”
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Enhanced Peer-to-Peer Botnet Detection Using Differential Evolution for Optimized Feature Selection by Sangita Baruah, Vaskar Deka, Dulumani Das, Utpal Barman, Manob Jyoti Saikia

“…Employing differential evolution, we propose a feature selection approach that enhances the ability to discern peer-to-peer (P2P) botnet traffic amidst evolving cyber threats. …”
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Feature selection for specific prediction targets at the user level in a district heating network by Samanta A. Weber, Michael Fischlschweiger, Dirk Volta, Jens Geisler

“…For this, statistical and machine learning methods are applied to engineer respective features and establish specific interdependencies, including meteorological conditions, human behavioral patterns, and operational parameters, based on a model region in northern Germany. …”
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Sequence-Aware Vision Transformer with Feature Fusion for Fault Diagnosis in Complex Industrial Processes by Zhong Zhang, Ming Xu, Song Wang, Xin Guo, Jinfeng Gao, Aiguo Patrick Hu

“…Traditional image processing methods are effective for local feature extraction but often miss global temporal patterns, crucial for accurate diagnosis. …”
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Unveiling key pathomic features for automated diagnosis and Gleason grade estimation in prostate cancer by Valentina Brancato, Mario Verdicchio, Carlo Cavaliere, Francesco Isgrò, Marco Salvatore, Marco Aiello

“…SHapley Additive exPlanations method was used to investigate models’ interpretability, estimating the importance of pathomic features and their impact on prediction models. Results Wavelet features were consistently prominent in “High-grade vs Low-grade” classification task, together with local binary pattern descriptors. …”
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Observer-generated maps of diagnostic facial features enable categorization and prediction of emotion expressions by Martin Wegrzyn, Laura Münst, Jessica König, Maximilian Dinter, Johanna Kissler

“…For happiness, fear and anger, the face half which was highlighted the most was also the half whose visibility led to higher recognition accuracies.The results suggest that diagnostic facial features are distributed in unique patterns for each expression, which observers seem to intuitively extract and use when categorizing facial displays of emotion.…”
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A Unified Approach to Voice Classification: Leveraging Spectrograms, Mel Spectrograms, and Statistical Features by Muhammad Talha, Huma Ghafoor, Seung Yeob Nam

“…This study presents a multi-input neural network architecture for voice classification that integrates two parallel convolutional neural networks (CNNs) for spectrogram and Mel spectrogram images, along with a fully connected dense network for six handpicked numerical statistical features from time domain signal. The outputs from these branches are flattened and merged, enabling the model to learn complementary patterns from both visual and numerical modalities. …”
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Chronobiological variations of acute aortic dissection in a Northwest Chinese population by Ermek Tangsakar, Rinat Imamu, Aybek Nabi, Dongqing Chang, Yongzhong Guo

“…Conclusions AAD onset followed a chronobiological pattern in patients from northwest China, with winter and 19:00–24:00 being the peak season and time period of AAD occurrence, respectively.…”
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Imaging features of pancreatic extragastrointestinal stromal tumors: a case report and literature review by Jian-Xia Xu, Meng-Yin Gu, Yi-Hua Wang, Xiao-Shan Huang, Jia-Qi Duan, Xiao-Zhong Zheng, Xi-Xi Chen, Ri-Sheng Yu, Jun-Yi Xiang

“…Notably, the imaging characteristics of this pEGISTs displayed several distinctive features, including intralesional “island-like” enhancement, peripheral nodular enhancement, and prominent vascular “staghorn” patterns. …”
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New Appliance Signatures for NILM Based on Mono-Fractal Features and Multi-Fractal Formalism by Anam Mughees, Muhammad Kamran, Neelam Mughees, Abdullah Mughees, Krzysztof Ejsmont

“…Mono-fractal features, including fractal dimension and Hurst exponent, are extracted alongside Lacunarity and Multifractal features comprising the singularity spectrum and Hölder exponents. …”
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ADHD detection from EEG signals using GCN based on multi-domain features by Ling Li, Xueyang Guo, Zihan Yang, Yanping Zhao, Xu Liu, Junxian Yang, Yanyan Chen, Xinxian Peng, Lina Han

“…Finally, a GCN model integrates these time-frequency features with topological patterns from the connectivity matrix for ADHD classification.ResultsEvaluated on two EEG datasets, the proposed method achieved average accuracies of 97.29% and 96.67%, outperforming comparative models (XGBoost, LightGBM, AdaBoost, random forest). …”
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Spectral feature modeling with graph signal processing for brain connectivity in autism spectrum disorder by Ayesha Jabbar, Huang Jianjun, Muhammad Kashif Jabbar, Khalil ur Rehman, Anas Bilal

“…We extract advanced GSP features such as Graph Fourier Transform coefficients, spectral entropy, and clustering coefficients, and combine them using Principal Component Analysis (PCA). …”
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Motor Imagery EEG Classification Based on Multi-Domain Feature Rotation and Stacking Ensemble by Xianglong Zhu, Ming Meng, Zewen Yan, Zhizeng Luo

“…Next, the rotated features were fused with the original significant features from each domain to obtain composite features for each domain. …”
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Features of the Reinforcement–Soil Interfacial Effect in Fiber-Reinforced Soil Based on Pullout Tests by Dingkan Xiao, Jun Zhang, Wei Xu, Jiang Wang, Nianyuan Qiu, Juan Wu, Huiyan Ling, Bo Qu, Zhihua Yao

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Age- and Gender-Related Femoral Bowing Analysis in the Korean Population and Features for Clinical Applications by Ju-Yeong Kim, Gyu-Min Kong

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Feature Fusion Graph Consecutive-Attention Network for Skeleton-Based Tennis Action Recognition by Pawel Powroznik, Maria Skublewska-Paszkowska, Krzysztof Dziedzic, Marcin Barszcz

“…Deep learning models, particularly when combined with sensor data fusion, can significantly enhance various applications by learning complex patterns and relationships from diverse data streams. …”
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Blackberry Growth Monitoring and Feature Quantification with Unmanned Aerial Vehicle (UAV) Remote Sensing by Akwasi Tagoe, Alexander Silva, Cengiz Koparan, Aurelie Poncet, Dongyi Wang, Donald Johnson, Margaret Worthington

“…Reliable and standardized techniques to record and evaluate crop features using agricultural technology are essential for improving agricultural systems. …”
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Features of Learning Strategies, Barriers and Motivation of Chinese Students in Russian-Speaking Environment and in China by Natalya S. Brem, Elena M. Dubrovskaya

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