Focus-feature and wh-feature in the light of pied piping behavior in Hungarian by Júlia Keresztes

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AFENet: An Attention-Focused Feature Enhancement Network for the Efficient Semantic Segmentation of Remote Sensing Images by Jiarui Li, Shuli Cheng

“…To address these limitations, we propose an attention-focused feature enhancement network (AFENet) with a novel encoder–decoder architecture. …”
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Distance Measurement for the Indoor WSN Nodes Using WTR Method by Zheng Zhang, Junxiao Zhu, Jiabiao Ruan, Gangbing Song

“…WTR not only takes advantage of the spatiotemporal focus features of TR, but also compensates the multipath effect to eliminate various factors from the environment. …”
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EDMF: A New Benchmark for Multi-Focus Images with the Challenge of Exposure Difference by Hui Li, Tianyu Shen, Zeyang Zhang, Xuefeng Zhu, Xiaoning Song

“…This approach enables the network to effectively learn focus features during training, resulting in clear fused images that align with human visual perception. …”
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MFCANet: Multiscale Feature Context Aggregation Network for Oriented Object Detection in Remote-Sensing Images by Honghui Jiang, Tingting Luo, Hu Peng, Guozheng Zhang

“…In the Focused Feature Context Aggregation Module, we replaced the Spatial Pyramid Pooling Bottleneck (SPPFBottleneck) to better extract small target features by focusing on contextual information. …”
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Enhanced futures price-spread forecasting based on an attention-driven optimized LSTM network: integrating an improved grey wolf optimizer algorithm for enhanced accuracy by Yongli Tang, Zhenlun Gao, Zhongqi Cai, Jinxia Yu, Panke Qin

“…Traditional machine learning methods struggle to effectively mine these patterns, while conventional long short-term memory (LSTM) models lack focused feature prioritization and suffer from suboptimal hyperparameter selection. …”
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Driving Safer: A Look at How Men and Women Use Advanced Driver Assistance Systems by Abolfazl Afshari, Alireza Azadnia, Mehdi Ghasemzadeh, Shiva Yazdani, Alireza Razzaghi, Salman Daneshi, Kiavash Hushmandi

“…Women propensity for safety-oriented features such as lane-keeping assistance, while men display a preference for convenience-focused features such as adaptive cruise control and parking assistance. …”
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RMTSE: A Spatial-Channel Dual Attention Network for Driver Distraction Recognition by Junyi He, Chang Li, Yang Xie, Haotian Luo, Wei Zheng, Yiqun Wang

“…This integration enables simultaneous enhancement of discriminative features and suppression of irrelevant characteristics in driving behavior images, improving learning efficiency through focused feature extraction. We also propose to employ a transfer learning strategy utilizing pre-trained weights during the training process, which further accelerates model convergence and enhances feature generalization. …”
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PD-YOLO: a novel weed detection method based on multi-scale feature fusion by Shengzhou Li, Zihan Chen, Jialong Xie, Hewei Zhang, Jianwen Guo

“…Building on the YOLOv8n framework, the model introduces a Parallel Focusing Feature Pyramid (PF-FPN), which incorporates two key components: the Feature Filtering and Aggregation Module (FFAM) and the Hierarchical Adaptive Recalibration Fusion Module (HARFM). …”
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A Hierarchical Feature-Based Time Series Clustering Approach for Data-Driven Capacity Planning of Cellular Networks by Vineeta Jain, Anna Richter, Vladimir Fokow, Mathias Schweigel, Ulf Wetzker, Andreas Frotzscher

“…Each level addresses a specific aspect of time series data using focused features, enabling explainable clustering. The proposed approach assigns labels to clusters based on the time series properties targeted at each level, generating annotated clusters while applying unsupervised clustering methods. …”
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MW-UNet: Multi-Scale Weighted Connection UNet for Identification and Classification of Non-Meteorological Clutter over Big Radar Data by Mengmeng Cui, Chen Zeng, Xiaolong Xu, Muhammad Bilal, Xiaoyu Xia

“…Additionally, the channel-focused feature fusion mechanism is able to analyze the deep latent features of the input parameters and suppress the useless features, so that only six polarization parameters are required as inputs. …”
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Dynamically Tunable Multidimensional Feature Focusing and Diffusion Networks for Water Surface Debris Detection by Chong Zhang, Jie Yue, Jianglong Fu

“…Furthermore, a Focal-Diffuse Feature Pyramid Network (FD-FPN) was introduced to accurately capture and integrate key feature information through focused feature fusion techniques while utilizing cross-scale diffusion analysis to efficiently transfer and enhance feature information across different scales. …”
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Data-driven fault detection and positioning of eccentric rolls in roll-to-roll systems using wrap angle and sensor proximity by Yoonjae Lee, Minjae Kim, Jaehyun Noh, Gyoujin Cho, Changwoo Lee

“…It introduces the feature combination matrix (FCM) method, which improves fault detection and precise positioning of eccentric rolls through focused feature engineering. The study employs the FCM method to enhance defect detection accuracy, using Support Vector Machine (SVM) as the classifier to consistently evaluate the effectiveness of selected feature sets in identifying and positioning eccentricity in R2R systems. …”
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LDDFSF-YOLO11: A Lightweight Insulator Defect Detection Method Focusing on Small-Sized Features by Peng Shen, Keyu Mei, Huiqiong Cao, Yongxiang Zhao, Guoqing Zhang

“…In the LDDFSF-YOLO11 model, a focused feature extraction module (MFFEConv) is proposed to enhance the feature extraction capability of the backbone network. …”
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