Using Wearable Sensors for Sex Classification and Age Estimation from Walking Patterns by Rizvan Jawad Ruhan, Tahsin Wahid, Ashikur Rahman, Abderrahmane Leshob, Raqeebir Rab

“…Recent works on sex and age prediction using gait pattern obtained from the inertial sensors lacks an analysis of the features being used. …”
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The Pattern of Juvenile Idiopathic Arthritis in a Single Tertiary Center in Saudi Arabia by Mohammad H. Al-Hemairi, Shatha M. Albokhari, Mohammed A. Muzaffer

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Thunderstorms with Extreme Lightning Activity in China: Climatology, Synoptic Patterns, and Convective Parameters by Ruiyang Ma, Dong Zheng, Yijun Zhang, Wen Yao, Wenjuan Zhang, Biao Zhu

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Pattern transition recognition based on transfer learning for exoskeleton across different terrains by Yifan Gao, Jianbin Zheng, Yang Gao, Ziyao Chen, Jing Tang, Liping Huang

“…Furthermore, spatial attention (SA) provides insight into significant components in multi-dimensional feature selection. Pattern transition recognition based on a transfer learning method achieves higher accuracy and earlier prediction time (Pre-T). …”
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Nasal Profile and Its Relationship with Sagittal Dentoskeletal Pattern and Age in Iranian Adults by Mahdis Jahanbakhsh, Alireza Ghaderi Namin, Zohreh Reyhani, Farzane Ahmadi, Azin Nourian

“… Introduction: The nose, centrally positioned and a prominent facial feature, plays a critical role in facial aesthetics. …”
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Multimodal EEG-fNIRS Seizure Pattern Decoding Using Vision Transformer by Rafat Damseh, Abdelhadi Hireche, Parikshat Sirpal, Abdelkader Nasreddine Belkacem

“…Overall, our findings suggest the effectiveness of using the ViT architecture with multimodal brain data accompanied by appropriate spectral features to classify the neural activity of epileptic seizure patterns.…”
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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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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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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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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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High‐Fidelity Computational Microscopy via Feature‐Domain Phase Retrieval by Shuhe Zhang, An Pan, Hongbo Sun, Yidong Tan, Liangcai Cao

“…Feature‐domain consistency tells that certain features, such as edges, textures, or patterns of an image, remain invariant in different image transformations, degradations, or representations. …”
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Plantar pressure classification and feature extraction based on multiple fusion algorithms by Xiaotian Bai, Xiao Hou, Yiling Song, Zhengyan Tang, Hongfeng Huo, Jingmin Liu

“…Analysis of variance compared the differences in features between various plantar pressure distribution patterns. …”
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The impact of online food delivery applications on dietary pattern disruption in the Arab region by Radwan Qasrawi, Radwan Qasrawi, Suliman Thwib, Ghada Issa, Malak Amro, Razan AbuGhoush, Maha Hoteit, Maha Hoteit, Sahar Khairy, Narmeen Jamal Al-Awwad, Narmeen Jamal Al-Awwad, Khlood Bookari, Sabika Allehdan, Dalal Alkazemi, Haleama Al Sabbah, Salima Al Maamari, Asma H. Malkawi, Reema Tayyem

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