How Gamification Features Drive Brand Loyalty: The Mediating Roles of Consumer Experience and Brand Engagement by Ningqin Li, Vesarach Aumeboonsuke

“…Furthermore, consumer experience and brand engagement both mediated gamification feature effects on brand loyalty. By constructing and validating a generalized model, the current study not only practically expands the gamification literature but also empirically illuminates mechanisms through which gamification features contribute to loyalty formation in co-branded settings.…”
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Residential real estate price prediction based on adaptive loss function and feature embedding optimization by Hongqin Zhang

“…To align with the dynamic nature of the real estate market, we propose a real estate price prediction model that leverages an adaptive loss function and optimizes feature embedding. …”
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Infrared Small Target Detection Based on Compound Eye Structural Feature Weighting and Regularized Tensor by Linhan Li, Xiaoyu Wang, Shijing Hao, Yang Yu, Sili Gao, Juan Yue

“…This enhanced detection capability demonstrates unique performance in applications such as autonomous driving, surveillance, and unmanned aerial vehicle reconnaissance. …”
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MSFCN: A Multiscale Feature Correlation Network for Remote Sensing Image Scene Change Detection by Feng Xie, Zhongping Liao, Jianbo Tan, Zhiguo Hao, Shining Lv, Zegang Lu, Yunfei Zhang

“…However, their extraction of feature correlation is insufficient to improve the model performance further. …”
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Subdivision of river channel sand micro-scale facies with feature attention spatio-temporal network by Ruipu Zhao, Lili Zeng, Chendong Fu, Xiaoqing Zhao

“…The integration of spatio-temporal feature extraction with feature attention significantly improves model performance, especially in the complex, heterogeneous environments typical of river channel sands. …”
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Innovative deep learning classifiers for breast cancer detection through hybrid feature extraction techniques by S. Vijayalakshmi, Binay Kumar Pandey, Digvijay Pandey, Mesfin Esayas Lelisho

“…These features are input into a 2D BiLSTM-CNN model designed to learn spatial and sequential patterns in mammogram images. …”
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Rotating Machinery Structural Faults Feature Enhancement and Diagnosis Based on Multi-Sensor Information Fusion by Baozhu Jia, Guanlong Liang, Zhende Huang, Xuewei Song, Zhiqiang Liao

“…Finally, the ResNet18 model performs fault diagnosis. To validate the feasibility and effectiveness of the proposed method, two datasets verify its performance. …”
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DFANet: A Deep Feature Attention Network for Building Change Detection in Remote Sensing Imagery by Peigeng Lu, Haiyong Ding, Xiang Tian

“…However, most existing methods have limitations in detecting building edges and addressing pseudo-changes, and lack the ability to model feature context. In this paper, we introduce DFANet—a Deep Feature Attention Network specifically designed for building CD in RS imagery. …”
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Improving landslide susceptibility prediction through ensemble recursive feature elimination and meta-learning framework by Krishnagopal Halder, Amit Kumar Srivastava, Anitabha Ghosh, Subhabrata Das, Santanu Banerjee, Subodh Chandra Pal, Uday Chatterjee, Dipak Bisai, Frank Ewert, Thomas Gaiser

“…Model performance was assessed through metrics such as accuracy, precision, recall, F1 score, and AUC of the ROC curve. …”
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Dual-Path Adaptive Channel Attention Network Based on Feature Constraints for Face Anti-Spoofing by Nana Li, Zhipeng Weng, Fangmei Liu, Zuhe Li, Wei Wang

“…Interference factors in visible light image data, such as backgrounds and lighting, often lead to poor performance of RGB-based single-modality face anti-spoofing methods. …”
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AggreGait: Automatic gait feature extraction for human age and gender classification with possible occlusion by Timilehin B. Aderinola, Tee Connie, Thian Song Ong, Andrew Beng Jin Teoh, Michael Kah Ong Goh

“…The growing interest in smart surveillance and automated public access control necessitates robust age and gender classification (AGC) techniques that can operate effectively in unconstrained environments. While model-based gait obtained via pose estimation offers a promising approach, its performance can be hindered by occlusions commonly encountered in real-world videos. …”
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Longitudinal structural MRI-based deep learning and radiomics features for predicting Alzheimer’s disease progression by Sepehr Aghajanian, Fateme Mohammadifard, Ida Mohammadi, Shahryar Rajai Firouzabadi, Ali Baradaran Bagheri, Elham Moases Ghaffary, Omid Mirmosayyeb

“…Results A single-timepoint ResNet3D model achieved modest performance (c-index ~ 0.70). …”
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Classification and recognition of spatio-temporal behavior of ships based on deep learning of trajectory feature images by Yu ZHOU, Liang HUANG, Chunhui ZHOU, Yuanqiao WEN, Yamin HUANG, Jiaci WANG

“…ObjectiveTo address the issues of low efficiency and inaccurate ship behavior recognition when handling large-scale ship trajectory data, this paper proposes a method for recognizing and classifying ship behaviour based on trajectory feature image modelling and deep learning.MethodA visual coding model is constructed for the salient features, including speed, acceleration, heading, steering rate, and trajectory point density. …”
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Improving Age Estimation in Occluded Facial Images with Knowledge Distillation and Layer-Wise Feature Reconstruction by Shuangfei Yu, Qilu Zhao

“…This study introduces a facial feature reconstruction network based on knowledge distillation and feature reconstruction. …”
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Integrating recursive feature selection with automated machine learning framework for global wheat price prediction by Prity Kumari, N. Harshith, Athula Ginige

“…A comprehensive evaluation was conducted using 32 years of monthly wheat price data (1990–2022) from the Federal Reserve Economic Database, comparing 35 machine learning models. . Based on test set performance, top five performing models i.e. …”
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FlexiNet: An Adaptive Feature Synthesis Network for Real-Time Ego Vehicle Speed Estimation by Abdalrahaman Ibrahim, Kyandoghere Kyamakya, Wolfgang Pointner

“…To address these challenges, we propose FlexiNet, a novel adaptive feature synthesis network that leverages monocular camera data to perform real-time speed estimation. …”
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The Detection Optimization of Low-Quality Fake Face Images: Feature Enhancement and Noise Suppression Strategies by Ge Wang, Yue Han, Fangqian Xu, Yuteng Gao, Wenjie Sang

“…Furthermore, a hybrid attention mechanism, Convolutional Block Attention Module (CBAM), is integrated to amplify salient features while suppressing irrelevant information. …”
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Analysis on pulse features of coronary heart disease patients with or without a history of ischemic stroke by Li Xin, Li Wei, Ng Man-In, Parry Natalie Ann, Li Siqi, Li Rui, Guo Rui

“…Based on these extracted features, a recognition model was developed using a random forest (RF) algorithm. …”
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Optimized driver fatigue detection method using multimodal neural networks by Shengli Cao, Peihua Feng, Wei Kang, Zeyi Chen, Bo Wang

“…This dynamic interaction between features enhances the model’s ability to capture complex patterns associated with driver fatigue, leading to superior performance. …”
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Video Anomaly Detection Methods: a Survey by WU Peichen, YUAN Lining, GUO Fang, LIU Zhao

“…Furthermore, it compares and evaluates models using benchmark datasets and common evaluation standards such as frame-level and pixel-level standards, and conducts intra-class comparisons based on performance results, followed by analysis of the outcomes. …”
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